Four Questions about Women and Minorities in Departments of Philosophy

Here are four questions that seem to deserve good answers[1]:

  1. Apart from concerns about salary, does lack of familiarity with philosophy as a discipline make it less likely that women and minorities will major in philosophy?
  2. Does the relative ‘religiosity’ of White American Protestant women and Black/African American Protestants make it less likely that they will major in philosophy than White American Protestant males?
  3. What do the responses from Philosophy faculty and graduate students to the Leslie et al ‘brilliance bias’ survey say about the underrepresentation of women (and minorities) in Philosophy?
  4. Does the misclassification of Philosophy by widely used career screening tools make it less likely that women and minorities will major in philosophy?

Perceived risk of failure to get a job?

Question #1: Does lack of familiarity with philosophy as a discipline make it less likely that women and minorities will major in philosophy, apart from concerns about salary?

In Cheshire Calhoun. “Precluded Interests,” Hypatia v30 n2 (Spring 2015) 475-485, the author writes:

There has been some speculation that students regard philosophy as an impractical major—which might explain why there aren’t large numbers of philosophy majors—but the recent AAUW report Graduating to a Pay Gap indicates that women are less concerned than men are with selecting majors that might lead to well-paying jobs (Corbet and Hill 2012). With the exception of the 18% of female students who choose business, female undergraduates tend to choose majors that lead to lower salaries than the majors male students choose. The AAUW report attributes women’s lower income one year out of college in part to gender differences in choice of major. (475)

In Dougherty, Tom; Baron, Samuel; and Miller, Kristie (2015) “Female Under-Representation Among Philosophy Majors: A Map of the Hypotheses and a Survey of the Evidence,” Feminist Philosophy Quarterly: Vol. 1: Iss. 1, Article 4. Available at http://ir.lib.uwo.ca/fpq/vol1/iss1/4 the authors write:

We did not find any gendered differences with respect to how useful students considered studying philosophy for achieving their goals. This means that we found no evidence to support the Impractical Subject Hypothesis.

And in a recent study of college-bound high school seniors deciding where to attend college, the researchers “did not find evidence of significant demand for a new resource that provides data on labor market outcomes,” where the latter include “employment rates and average earnings.”[2]

Nonetheless a plausible hypothesis is that, because of the unfamiliarity of philosophy in pre-college education, and a reasonable risk-aversion among female (and minority) students and their parents, other relatives, guardians and advisors, the likelihood of actually securing any job at any salary level is believed to be lower for those seeking employment in philosophy as opposed to, for example, social work or elementary school teaching (lower paid occupations in which most are women). Most people will have heard of students getting jobs – perhaps even receiving multiple job-offers – in social work or pre-college teaching. Not many will have so much as heard of students getting jobs “in philosophy.”[3]

It is a commonplace in the literature on the economics of inequality that women are generally more risk-averse than men; one recent seemingly authoritative overview is in:

Iris Bohnet[4], What works: gender equality by design (The Belknap Press of Harvard University Press, 2016), pages 170-171. HD 6060 .B64 2016 ISBN 9780674089037

In a note to Chapter 8, “Adjusting Risk,” Bohnet says,

[n4] Literally hundreds of studies, with a very small number of exceptions, support the notion that women are more averse to risk than men. …

-where, as Bohnet indicates, the claim about relative risk-aversion has been questioned.[5]

But even if there is no general difference between men and women in degrees of risk-aversion, it might still be that philosophy is perceived by female students and those who are closest to them as less likely to yield a job at any salary. That perception might even reflect good judgment. Anyone who is a member of a group subject to systematic discrimination might reasonably be expected to be quite sensitive to the relative disadvantage of philosophy vs. say, social work or elementary school teaching.

Among other things, it is also consistent with the falsity of the Impractical Subject Hypothesis and with a relative lack of concern with earning a high salary that women have been socialized in ways that leads them to seek what they believe will be careers with greater social utility, and they may not see a career in philosophy as having such relative utility. It might also be that social utility carries less weight among women than the immediacy of feedback from those who’ve been helped. After all, among biomedical engineer those who design prosthetics some have almost no contact with prosthetic-users but the engineer engages in an occupation with high actual and perceived social utility; most social workers will however have much direct contact with the people they help.

Relative Religiosity of American Women and Black/African Americans

Question #2: Does the relative ‘religiosity’ of White American Protestant women and Black/African American Protestants make it less likely that they will major in philosophy than White American Protestant males?

It has been well-documented by sociologists of religion that among Christians in the US, women report more “religiosity” than do men. These differences are greater among US Protestants and the relevant data covers at least several past decades.[6] There are various relatively standard measures of religiosity. Multiple hypotheses have been offered to explain the differences measured. (One conjecture that seems reasonable is that members of a group historically subject to systematic discrimination are more likely to persist in beliefs and practices that secure their identities as members of what they regard as a supportive group. That’s consistent with the even greater religiosity found among African American Protestants.[7]) It has also been conjectured that greater risk-aversion is positively correlated with greater religiosity.

Here is a hypothesis that at least deserves a good refutation:

A larger percentage of American White Protestant female students and Protestant Black/African Americans than American White Protestant male students are disturbed by the expectation in philosophy that just about any belief can be questioned, including the most deeply held religious beliefs.

Here is some limited, relevant evidence from surveys I’ve done for the hypothesis that religious belief may be a factor in underrepresentation of women (and Black/African Americans) in philosophy in the US:

During each semester from Fall 2010 to Spring 2015 (summer sessions not included), all students (N > 2000) enrolled in a Philosophy of Science course at a large, STEM-oriented, public university in the southeastern US were surveyed at the beginning and at the end of semesters about topics covered by the course about which they would likely have an opinion. The surveys were called “Intuition Inventory 1” (II1) and “Intuition Inventory 2” (II2). The purpose of the surveys was explained to students several times both orally and in writing. If and only if s/he completed both surveys, a student received four points added to the course score. Students had two weeks to complete the surveys at semester’s beginning and one week to complete them at the end of the semester. Typical time to completion was less than fifteen minutes.

A five-point Likert scale was used for each of the items: Strongly agree, Agree, Neither agree nor disagree, Disagree, Strongly Disagree. Survey response rates averaged close to 90%. The same survey items were presented in each survey in the same order (though a few items were added later), with the occasional addition of “control” items to assess attentiveness (e.g, “My birthday is February 32,” “The number 6 is an even number”) as recommended by psychometricians.

Response sets were checked for internal consistency and compared with all other contemporaneous and previous response sets to help detect satisficing (e.g., straight-lining) and dishonest response patterns; rushing was checked using course site logs. Less than a dozen outlier response sets were discarded as a result.

On average, there are 2 ± 1 pairs of logically inconsistent responses for both female and male respondents for each Intuition Inventory, and the inconsistencies involved mainly the items expressing naïve moral relativism. (Students seem anxious to be seen to be tolerant and to believe that naïve moral relativism is the best way to secure that result.) There is no statistically significant difference between the distributions of course grades for female and male respondents, despite the fact that females have (at the time they take the course) on average slightly higher Cumulative GPAs than male respondents.[8] (This does not apply to freshman who as yet have no usable cumulative GPAs.)

Differences ≥ 10% for Black/African American (B) vs White (W) and Female (F) vs Male (M) Respondents %Strongly Agree+Agree Fall 2010-Spring 2015 (N ~ 1936)

Item F-M B-W
During the last fifty years, some people have been shown to have some sort of ‘ESP’.-II1 10% 15%
During the last fifty years, some people have been shown to have some sort of ‘ESP’.-II2 15% 17%
Astrology often gives pretty accurate descriptions of peoples’ characters.-II1 20% 18%
Astrology often gives pretty accurate descriptions of peoples’ characters.-II2 12% 16%
Astrology can be used to give accurate predictions of daily events.-II1 10% 15%
Astrology can be used to give accurate predictions of daily events.-II2 4% 11%
Bacteria can think.-II1 -2% 12%
The Biblical story of creation ought to be taught, as a reasonable alternative to evolutionary theory, in science courses that discuss the origins of life or the universe.-II1 11% 13%
The Biblical story of creation ought to be taught, as a reasonable alternative to evolutionary theory, in science courses that discuss the origins of life or the universe.-II2 12% 17%
Someday, biology will be seen as applied physics – because living things are completely and accurately describable by the laws of physics.-II1 -11% -3%
In addition to having a brain, I have a soul that takes up no space.-II1 (recent addition) 14% 9%
Someday, there could be machines that can think.-II1 -18% -2%
Someday, there could be machines that can think.-II2 -13% -1%
Good evidence for the existence of God is provided by the overall design of life’s evolution (from simpler chemical systems, as described by evolutionary theory).-II1 9% 10%
In order to be scientific, a statement must be capable of direct experimental test.-II2 7% 12%
Study of evolutionary theory leads inevitably to a breakdown of morality.-II1 1% 20%
Study of evolutionary theory leads inevitably to a breakdown of morality.-II2 2% 11%
In doing science, one never accepts things on faith or without proof.-II2 7% 13%
God created humans pretty much in their present form at one time within the last 10,000 years.-II1 7% 20%
God created humans pretty much in their present form at one time within the last 10,000 years.-II2 7% 11%
I have had some false beliefs.-II2 -11% -26%
Living things are just machines composed wholly of organic components.-II1 -14% 0%
Unlike any machines, living things have goals or purposes of their own.-II1 16% 0%
Unlike any machines, living things have goals or purposes of their own.-II2 14% 3%
There are now machines that can think.-II2 -1% 13%
My brain is a ‘meat machine’ – a sophisticated computer that can think.-II1 -11% 6%
My brain is a ‘meat machine’ – a sophisticated computer that can think.-II2 -12% 9%
It is not possible for a thinking thing to be composed wholly of parts that cannot think – there must also be a ‘mental essence’.-II1 12% 6%
It is not possible for a thinking thing to be composed wholly of parts that cannot think – there must also be a ‘mental essence’.-II2 12% 4%
Miracles happen nowadays.-II1 20% 24%
Miracles happen nowadays.-II2 18% 24%
For any culture and any action: if a culture believes that an action is morally right then the action is morally right, and for any culture and any action: if a culture believes that the action is not morally right then the action is not morally right.-II2 5% 13%
There are moral facts about which actions are morally right and about which actions are not morally right and these moral facts are not determined by individual beliefs and these moral facts are not determined by cultural beliefs..-II2 5% 12%
Only science tries to meet high standards in giving explanations. -II1 -5% 10%
Oysters can think.-II1 1% 11%
Oysters have emotions.-II1 2% 15%
Religious doctrines cannot change.-II1 4% 11%
Someday, there could be a robot that has sensations (e.g., pain, pleasure) and emotions (e.g., joy, sadness).-II1 -15% -5%
Someday, there could be a robot that has sensations (e.g., pain, pleasure) and emotions (e.g., joy, sadness).-II2 -15% -3%
Religion and science can never come into conflict, since science is based on observation, but religion is based on faith.-II2 0% 12%
Religion and science can conflict, and religion can be wrong.-II1 -8% -22%
Religion and science can conflict, and religion can be wrong.-II2 -12% -16%
If wholly reliable, functionally perfect silicon replacements for brain cells were developed, then I might have some damaged cells in my brain replaced by them.-II1 -22% -13%
If wholly reliable, functionally perfect silicon replacements for brain cells were developed, then I might have some damaged cells in my brain replaced by them.-II2 -18% -18%
There is at least some evidence that the universe is the product of intelligent design.-II1 8% 10%
There is at least some evidence that the universe is the product of intelligent design.-II2 7% 12%
I have a soul that takes up no space in addition to having a body.-II2 (later addition, N~900) 15% 1%
I have a (non-physical) soul in addition to having a body.-II1 18% 18%
I have a (non-physical) soul in addition to having a body.-II2 17% 9%
As daily experience shows, non-physical souls can cause changes in bodies.-II1 12% 10%
As daily experience shows, non-physical souls can cause changes in bodies.-II2 11% 16%
It is not possible for a living thing to be composed wholly of parts that are not alive – there must also be a ‘vital essence’.-II1 15% 7%
It is not possible for a living thing to be composed wholly of parts that are not alive – there must also be a ‘vital essence’.-II2 15% 5%

Similar differences between female and male respondents hold irrespective of student major(s) or level (freshman, sophomore, junior, senior). (The ratio of females to males was very close to ½.)

Thus, the evidence from their behavior in the course suggests that female students are in general more “religiously conservative,” less favorably disposed towards computer models of living and thinking things, and more persistent in believing in astrology and paranormal phenomena than male students. In light of the falsity and other weaknesses of astrology and the complete lack of good experimental evidence for paranormal phenomena despite over 130 years of seeking – topics of course discussion on which students are tested – the latter differences are troubling.

There is generally little change in expressed belief in astrology or paranormal phenomena from beginning to end of the course, despite presentation of serious methodological criticism and powerful experimental results; some survey items more obviously related to religious convictions show more movement.

There is some research that supports the claim that at some universities in the US and Europe, there is for undergraduates a weak to moderate, statistically significant negative correlation between expressed belief in astrology or belief in paranormal phenomena and critical thinking ability, with the effect of expressed belief in paranormal phenomena being more negative. And many have found that there are moderate to strong correlations between both sorts of expression of belief and expression of clearly religious beliefs. Some students say in effect that they have had, or have known people who have had, religious experiences that are paranormal experiences. It is reasonable then to conjecture that expressed religious convictions and expression of belief in astrology and paranormal phenomena are at least mutually reinforcing if not part of an indissoluble package deal.

Female students may have been able to follow the course advice to put aside some of these beliefs in answering test questions in the course; or, they may have had a compensatory advantage in resisting (what the course argues is) incorrect reductionist reasoning.

It has been hypothesized by some psychologists of religion that a preference for teleological (purpose-directed) explanation underlies all of these differences, and some have even suggested that the tendency is innate in human beings. It is not obvious why strength of such a preference or these differences would be gender-linked. Is membership in a religious community that much more important to these females? Purpose-directed explanation is of course practically speaking indispensable and its skillful use is essential to well-being. Are these females especially good at using it? Why then would they over-extend it? Is there some special feature of its skillful use in particular domains, e.g. social, biological, that would lead to a tendency to exaggerate its efficacy in other domains? What feature would that be? (Why “if you’re good with hammers, lots of things tend to look like nails” rather than, “if you’re good with hammers, then you know when not to use a hammer”?)

Black/African American respondents exhibit some of the same response patterns as do female respondents, favoring “conservative religious” views even more strongly, but there is not the same evidence for Black/African American respondents as for females generally that those religious views are associated with a preference for purpose-directed explanation or anti-reductionism. It might be that Black/African American respondents’ religiously associated views are more powerfully motivated by adherence to doctrines, where the adherence to the doctrines is taken by them to be required for membership in the relevant religious community. However, the number of Black/African Americans is relatively small and may not be accurately representative of the larger population. (The ratio of Black/African Americans to Whites was about 1/10.)

Further analysis of gender and race of respondents yields the following results. Abbreviations: FB – Black females (n=57), FW – White females (n=493), MB – Black males (n=98), MW – White Males (944). (Total 1592)

Item FB-FW MB-MW FW-MW FB-MB
During the last fifty years, some people have been shown to have some sort of ‘ESP’.-II1 17% 14% 10% 13%
During the last fifty years, some people have been shown to have some sort of ‘ESP’.-II2 16% 17% 16% 14%
Astrology often gives pretty accurate descriptions of peoples’ characters.-II1 25% 13% 19% 31%
Astrology often gives pretty accurate descriptions of peoples’ characters.-II2 11% 18% 16% 9%
Astrology can be used to give accurate predictions of daily events.-II1 12% 16% 11% 7%
Astrology can be used to give accurate predictions of daily events.-II2 -1% 18% 7% -12%
Bacteria can think.-II1 9% 15% -2% -8%
Bacteria can think.-II2 3% 11% 2% -6%
The Biblical story of creation ought to be taught, as a reasonable alternative to evolutionary theory, in science courses that discuss the origins of life or the universe.-II1 11% 13% 12% 10%
The Biblical story of creation ought to be taught, as a reasonable alternative to evolutionary theory, in science courses that discuss the origins of life or the universe.-II2 15% 18% 13% 10%
Someday, biology will be seen as applied physics – because living things are completely and accurately describable by the laws of physics.-II1 7% -8% -14% 2%
Someday, biology will be seen as applied physics – because living things are completely and accurately describable by the laws of physics.-II2 16% 3% -9% 3%
Cats can think-II1 -4% 7% 6% -6%
Cats can think-II2 -9% 5% 4% -10%
Someday, there could be machines that can think.-II1 -4% 0% -17% -22%
Someday, there could be machines that can think.-II2 -3% 0% -13% -16%
Good evidence for the existence of God is provided by the overall design of life’s evolution (from simpler chemical systems, as described by evolutionary theory).-II1 14% 7% 9% 16%
Good evidence for the existence of God is provided by the overall design of life’s evolution (from simpler chemical systems, as described by evolutionary theory).-II2 6% 4% 7% 9%
In order to be scientific, a statement must be capable of direct experimental test.-II1 5% 8% 5% 2%
In order to be scientific, a statement must be capable of direct experimental test.-II2 6% 16% 9% -1%
Every statement that I believe is true.-II1 1% 1% -1% -1%
Every statement that I believe is true.-II2 2% -3% 3% 8%
Every statement that I believe about my mind is true.-II1 14% 1% -1% 13%
Every statement that I believe about my mind is true.-II2 2% -4% 6% 12%
There is no good evidence for the claim that there are non-physical souls; the claim that there are non-physical souls must be believed on faith if it is believed at all.-II1 -2% 0% -7% -8%
There is no good evidence for the claim that there are non-physical souls; the claim that there are non-physical souls must be believed on faith if it is believed at all.-II2 6% 1% -6% -1%
Study of evolutionary theory leads inevitably to a breakdown of morality.-II1 23% 18% 1% 6%
Study of evolutionary theory leads inevitably to a breakdown of morality.-II2 9% 13% 3% -2%
The main/defining aim of science is to discover facts.-II1 6% -4% -3% 8%
The main/defining aim of science is to discover facts.-II2 1% 9% 3% -5%
In doing science, one never accepts things on faith or without proof.-II1 1% 8% 5% -2%
In doing science, one never accepts things on faith or without proof.-II2 12% 13% 9% 8%
Fish have emotions.-II1 -5% 18% 5% -18%
Fish have emotions.-II2 1% 12% 8% -3%
Fish can think.-II1 -7% 14% 4% -16%
Fish can think.-II2 -8% 8% 7% -10%
God created humans pretty much in their present form at one time within the last 10,000 years.-II1 22% 19% 8% 11%
God created humans pretty much in their present form at one time within the last 10,000 years.-II2 11% 10% 7% 9%
God created the universe 15-20 billion years ago by causing the ‘Big Bang’.-II1 -2% 6% -3% -10%
God created the universe 15-20 billion years ago by causing the ‘Big Bang’.-II2 -3% 4% -3% -10%
In addition to a body, I have a soul that takes up no space-II2 -9% 4% 19% 6%
I have had some false beliefs.-II2 -23% -28% -9% -4%
Living things are just machines composed wholly of organic components.-II1 9% -5% -15% -1%
Living things are just machines composed wholly of organic components.-II2 0% 0% -9% -9%
Unlike any machines, living things have goals or purposes of their own.-II1 -6% 3% 18% 9%
Unlike any machines, living things have goals or purposes of their own.-II2 2% 4% 16% 14%
There are now machines that can think.-II1 4% 12% -5% -13%
There are now machines that can think.-II2 3% 19% 2% -14%
My brain is a ‘meat machine’ – a sophisticated computer that can think.-II1 11% 3% -12% -4%
My brain is a ‘meat machine’ – a sophisticated computer that can think.-II2 8% 10% -13% -15%
It is not possible for a thinking thing to be composed wholly of parts that cannot think – there must also be a ‘mental essence’.-II1 1% 8% 12% 5%
It is not possible for a thinking thing to be composed wholly of parts that cannot think – there must also be a ‘mental essence’.-II2 -7% 10% 15% -2%
Miracles happen nowadays.-II1 22% 25% 21% 18%
Miracles happen nowadays.-II2 19% 26% 19% 12%
For any culture and any action: if a culture believes that an action is morally right then the action is morally right, and for any culture and any action: if a culture believes that the action is not morally right then the action is not morally right.-II1 5% 7% -1% -3%
For any culture and any action: if a culture believes that an action is morally right then the action is morally right, and for any culture and any action: if a culture believes that the action is not morally right then the action is not morally right.-II2 4% 18% 8% -6%
For any person and any action: If a person believes that an action is morally right, then that action is morally right, and for any person and any action: if a person believes that the action is not morally right, then the action is not morally right.-II1 3% 9% 4% -2%
For any person and any action: If a person believes that an action is morally right, then that action is morally right, and for any person and any action: if a person believes that the action is not morally right, then the action is not morally right.-II2 -1% 18% 5% -15%
NOT In addition to a body, I have a soul that takes up no space -II1 -2% -16% -11% 3%
NOT In addition to a body, I have a soul that takes up no space -II2 1% 1% -7% -7%
There are moral facts about which actions are morally right and about which actions are not morally right and these moral facts are not determined by individual beliefs and these moral facts are not determined by cultural beliefs.-II1 14% 5% 6% 15%
There are moral facts about which actions are morally right and about which actions are not morally right and these moral facts are not determined by individual beliefs and these moral facts are not determined by cultural beliefs.-II2 -8% -4% 7% 3%
The only religions are: the various kinds of Christianity, Judaism and Islam.-II1 3% 3% 0% 0%
The only religions are: the various kinds of Christianity, Judaism and Islam.-II2 4% 4% -1% -1%
Only something with a soul can think.-II1 6% 0% 6% 12%
Only something with a soul can think.-II2 -4% 7% 8% -3%
Only science tries to meet high standards in giving explanations. -II1 8% 11% -5% -8%
Only science tries to meet high standards in giving explanations. -II2 0% 4% -6% -10%
Oysters can think.-II1 -1% 18% 2% -18%
Oysters can think.-II2 -8% 16% 3% -21%
Oysters have emotions.-II1 8% 19% 2% -10%
Oysters have emotions.-II2 -4% 16% 5% -15%
Religious doctrines cannot change.-II1 16% 8% 3% 11%
Religious doctrines cannot change.-II2 13% 5% 4% 12%
Religion and science can conflict, and religion cannot be wrong.-II1 8% 8% 3% 3%
Religion and science can conflict, and religion cannot be wrong.-II2 12% 5% 2% 10%
Someday, there could be a robot that has sensations (e.g., pain, pleasure) and emotions (e.g., joy, sadness).-II1 -4% -4% -17% -16%
Someday, there could be a robot that has sensations (e.g., pain, pleasure) and emotions (e.g., joy, sadness).-II2 -6% -1% -17% -22%
Religion and science can never come into conflict, since science is based on observation, but religion is based on faith.-II1 -1% 5% 1% -5%
Religion and science can never come into conflict, since science is based on observation, but religion is based on faith.-II2 12% 12% 0% 0%
Religion and science can conflict, and religion can be wrong.-II1 -15% -25% -9% 2%
Religion and science can conflict, and religion can be wrong.-II2 -14% -17% -12% -9%
If wholly reliable, functionally perfect silicon replacements for brain cells were developed, then I might have some damaged cells in my brain replaced by them.-II1 -1% -18% -25% -8%
If wholly reliable, functionally perfect silicon replacements for brain cells were developed, then I might have some damaged cells in my brain replaced by them.-II2 -18% -18% -18% -18%
There is at least some evidence that the universe is the product of intelligent design.-II1 6% 11% 11% 5%
There is at least some evidence that the universe is the product of intelligent design.-II2 10% 13% 9% 6%
I have a (non-physical) soul in addition to having a body.-II1 14% 19% 18% 13%
I have a (non-physical) soul in addition to having a body.-II2 8% 10% 17% 15%
As daily experience shows, non-physical souls can cause changes in bodies.-II1 19% 5% 11% 25%
As daily experience shows, non-physical souls can cause changes in bodies.-II2 17% 16% 12% 12%
Some cats worry about tax reform.-II1 1% -1% -3% -1%
Some cats worry about tax reform.-II2 -1% 3% -1% -6%
All theories are false.-II1 2% 1% 0% 0%
All theories are false.-II2 1% 4% 0% -2%
Anything (even a computer) that always behaved as intelligently as I do, would have to be intelligent.-II1 -6% 4% -5% -15%
Anything (even a computer) that always behaved as intelligently as I do, would have to be intelligent.-II2 -1% 11% -3% -15%
It is not possible for a living thing to be composed wholly of parts that are not alive – there must also be a ‘vital essence’.-II1 1% 9% 17% 9%
It is not possible for a living thing to be composed wholly of parts that are not alive – there must also be a ‘vital essence’.-II2 -1% 7% 18% 9%

On a longer-term trend for one item in this survey and in a nationwide US survey:

Abbreviation Survey item Data source
God-guided Humans evolved and God guided the process. Gallup poll US
Without God Humans evolved but God had no part in process Gallup poll US
God-10000 God created humans in their present form within the last 10,000 years Gallup poll US
God-10000-II1 God created humans in their present form within the last 10,000 years II1
Other Other/No Opinion Gallup poll US

Beginning Fall 2008, the previous 22 years’ T/F format was replaced with a five-point Likert scale. Survey response rates averaged over 80% (and were often over 95%). For almost all items percentages during 1986-1996 were very stable.

Year God-guided Without God God-10000 God-10000-II1 Other
2017 38% 19% 38% 5%
2015 25%
2014 31% 19% 42% 20% 8%
2012 32% 15% 46% 18% 7%
2010 38% 16% 40% 28% 6%
2008 36% 14% 44% 24% 5%
2007 38% 14% 43% 36% 4%
2006 36% 13% 46% 36% 5%
2004 38% 13% 45% 36% 4%
2001 37% 12% 45% 29% 5%
1999 40% 9% 47% 34% 4%
1997 39% 10% 44% 42% 7%
1995 46%
1994 46%
1993 35% 11% 47% 49% 7%
1991 44%
1990 41%
1986 41%
1982 38% 9% 44% 9%

The chart below depicts the percentages in the table above.

See the discussion at https://blogs.scientificamerican.com/observations/college-freshmen-are-less-religious-than-ever/ for data sources on the persistence in 2016 of gender and race gaps among US college freshmen despite a decline in their religiosity overall.

GPAs F2010-Sp2015

God created humans pretty much in their present form at one time within the last 10,000 years.-II1

Gender and Racial Grouping N Respondents Strongly Agree or Agree All II1 Respondents
%SA+A Cumulative GPA Stdev Cumulative GPA Stdev
F, Asian 72 24% 2.76 1.20 3.06 0.91
F, Black/African American 66 47% 2.59 0.93 2.60 0.85
F, White 570 25% 2.72 0.97 2.73 1.09
M, Asian 166 22% 2.81 1.01 2.81 1.03
M, Black/African American 118 36% 2.37 0.79 2.51 0.72
M, White 1132 17% 2.57 0.91 2.55 1.12

(The population numbers are different in the table above because freshmen are excluded and not all of those who responded to II1 responded to II2. For the large table immediately preceding this one, only those non-freshmen who responded to both II1 and II2 are included.)

The majors of ‘Strongly Agree’ or ‘Agree’ respondents for this item:

F, Asian: Accounting, Biology, Business Administration, Business and Marketing Education, Economics, Fashion and Textile Management, General College, Horticultural Science, Polymer and Color Chemistry, Psychology, Sociology, Statistics, Zoology

M, Asian Accounting, Aerospace Engineering, Applied Mathematics, Biochemistry, Biology, Business Administration, Civil Engineering, Communication, Computer Science, Electrical Engineering, Engineering First Year, Environmental Sciences, Management, Marine Sciences, Mechanical Engineering, Political Science, Psychology, Sport Management, Statistics

F, Black/African American: Anthropology, Biology, Chemical Engineering, Computer Engineering, Criminology, English, General College, Fisheries & Wildlife Science, Horticultural Science, International Studies, Nutrition Science, Parks Recreation & Tourism Management, Political Science, Psychology, Science Technology & Society, Social Work, Spanish Language and Literature, Zoology

M, Black/African American: Accounting, Agricultural Business Management, Animal Science, Biochemistry, Biology, Business Administration, Chemical Engineering, Chemistry, Communication, Computer Engineering, Computer Science, Electrical Engineering, English, Environmental Technology, General College, Middle Grades Education, Parks Recreation & Tourism Management, Political Science, Sport Management, Textile Technology, Wood Products

F, White: Agricultural Business Management, Agricultural Education, Agricultural Science, Animal Science, Applied Mathematics, Biochemistry, Biology, Biomedical Engineering, Business Administration, Chemical Engineering, Chemistry, Civil Engineering, Communication, Computer Engineering, Criminology, Education, Education, Elementary Education, Environmental Technology, Fashion and Textile Management, General College, Fisheries & Wildlife Science, Food Science, History, Horticultural Science, Leadership in Public Sector, Management, Marine Sciences, Mathematics Education, Mechanical Engineering, Meteorology, Microbiology, Middle Grades Education, Nutrition Science, Parks Recreation & Tourism Management, Political Science, Polymer and Color Chemistry, Psychology, Science Education, Science Technology & Society, Social Work, Zoology

M, White: Accounting, Aerospace Engineering, Agricultural & Environmental Technology, Agricultural Business Management, Animal Science, Applied Mathematics, Biochemistry, Biological Engineering, Biology, Biomedical Engineering, Business Administration, Business and Marketing Education, Chemical Engineering, Chemistry, Civil Engineering, Communication, Computer Engineering, Computer Science, Construction Engineering & Management, Criminology, Economics, Electrical Engineering, Elementary Education, English, Environmental Technology, General College, Fisheries & Wildlife Science, History, Industrial Engineering, Landscape Architecture, Management, Marine Sciences, Mathematics Education, Mechanical Engineering, Meteorology, Microbiology, Natural Resources, Nuclear Engineering, Paper Science and Engineering, Parks Recreation & Tourism Management, Physics, Political Science, Polymer and Color, Psychology, Religious Studies, Science Education, Science Technology & Society, Social Work, Sport Management, Statistics, Textile Engineering, Textile Technology, Turfgrass Science.

There are no simple major-specific patterns in extent of agreement with God created humans pretty much in their present form at one time within the last 10,000 years aside from the gender and race gaps. Contrary to what some might guess, many students who responded in “religiously conservative” ways are majors in life sciences or STEM disciplines. My conversations with some of the latter students, as well as reports in research literature, suggest that students either deny the relevance of discipline-justified beliefs to the jobs to which they aspire, or selectively quarantine those beliefs as relevant in only some domains. (There are for example, prominent, well-known neurosurgeons who deny that evolution occurs and who claim that it anyway has no bearing on their ability to perform well on the job. The evangelical Christian geneticist who directs the NIH differs from some other members of that broad religious grouping in limiting his reliance on the Bible, literally interpreted.) There is a difference of degree at least between the kinds of challenges to particular religious beliefs posed by, say, theories in biology, chemistry, geology or physics and the challenges to the practice of protective isolation of religious beliefs, which challenges are almost certain to occur when majoring in philosophy. Quarantining strategies are less likely to be available in the latter case.

The preceding provides some limited indirect evidence that there is a general tendency for female students to find the expectation that just about any belief can be questioned more disturbing than do male students (and perhaps similarly for Black/African-American vs white students). Any such difference is likely to create at least some resistance to majoring or taking (additional) courses in philosophy. It would be useful to discover the magnitude and nature of this resistance in colleges and universities across the US at least.[9] The persistence of similar patterns in relative religiosity during the past three or more decades in the US as reflected in larger, repeated national surveys provides additional reason to look for relevant effects. A small subset of the survey items above would suffice. No doubt there are ways to improve or augment the items.

Prevalent Expectations of Brilliance?

Question #3: What do the responses from Philosophy faculty and graduate students to the Leslie et al survey say about the underrepresentation of women and minorities in philosophy?

Sarah‐Jane Leslie, Andrei Cimpian, Meredith Meyer, Edward Freeland, “Expectations of Brilliance Underlie Gender Distributions Across Academic Disciplines,” Science v347 n6219 (16 Jan 2015) 262-265. DOI: 10.1126/science.1261375

Abstract: The gender imbalance in STEM subjects dominates current debates about women’s underrepresentation in academia. However, women are well represented at the Ph.D. level in some sciences and poorly represented in some humanities (e.g., in 2011, 54% of U.S. Ph.D.’s in molecular biology were women versus only 31% in philosophy). We hypothesize that, across the academic spectrum, women are underrepresented in fields whose practitioners believe that raw, innate talent is the main requirement for success, because women are stereotyped as not possessing such talent. This hypothesis extends to African Americans’ underrepresentation as well, as this group is subject to similar stereotypes. Results from a nationwide survey of academics support our hypothesis (termed the field-specific ability beliefs hypothesis) over three competing hypotheses.

The sample is described as follows:

We surveyed faculty, postdoctoral fellows, and graduate students (N = 1820) from 30 disciplines (12 STEM, 18 SocSci/Hum) (table S1) at geographically diverse high-profile public and private research universities across the United States. (264)

In the Supplement, the authors argue as follows that non-response bias is unlikely:

Next, the post‐stratification weights were calculated as the inverse of the response rate for each cell …. These weights were then used to re‐calculate the mean values of the key variables for each of the 30 academic fields. The weighted analyses reported in the main text … reflect the application of these weight adjustments for differential (non‐)response. Importantly, these weighted analyses perfectly replicated the results of the unweighted analyses, which is an indication that non‐ response bias is unlikely.

Finally, in addition to adjusting the mean values for key variables at the field level, we also analyzed both the weighted and unweighted aggregate data to see if any of the key variables were correlated with the absolute number of responses or the field‐level response rate. We found no such correlations. Furthermore, we examined whether the variances of the key dependent and independent variables were associated with the field‐level response rate or the absolute number of responses and again found no significant correlations beyond what would be expected purely by chance. The results of these meta‐analyses of the dataset, coupled with the near‐insignificant impact from the added post‐ stratification weights, indicate that the major findings of the present research are unlikely to have been affected by non‐response bias.

From Table S6: Response rates and post‐stratification weights for Philosophy
male graduate students female graduate students post‐docs and faculty All 3 groups
Respondent Count 28 9 21 58
Target Sample Estimate (Rounded) 236 108 265 609
Response Rate 11.90% 8.30% 7.90% 9.52%
Weight (=1/Response Rate) 8.43 12 12.62 10.50

Was the sample chosen in a way that made it representative of academics in Philosophy?

· What is the size of the sample as a percentage of the relevant population?

The APA had (2013-2014) 9190 members, of whom 4936 were regular and 2135 were student associates. The Bureau of Labor Statistics says that for 2013, there were about 22,000 people in the US in Philosophy or Religious Studies. If one uses 10,000 as an estimate for the relevant population of those sampled in Philosophy, then the sample of 58is 0.6% of that total; if the total were 6,000, then 58 would still be less than 1%. Surveys were sent to about 609 graduate (PhD) students, postdocs or philosophy faculty, and about 10% of them responded. But it’s not clear how the 609 or so were selected.

[The data are in fact neither normally distributed nor interval; they are highly asymmetric – e.g., the median response on question Q14 is 1 on a scale of 1-7 – and ordinal. It is commonly held that 7-point ordinal scales (as in Leslie et al) can be treated as interval.[10] But reliance on this commonly held view needs to be justified in individual cases.[11] Put this aside.].

· Is the sample of 58 a representative sample of the population of US philosophers in academia generally? Are the responses of 20 of the 58 – 17 males and 3 females – who less than Strongly disagreed with Q14 (… Men are often more suited than women to do high-level work in Philosophy.) indicative of a relevant brilliance-bias in the wider population of 6,000 or more?

· In responding as they did to Q14, were the respondents indicating a prejudice about innate (or difficult to modify) ability (brilliance) or were they expressing doubts about encouraging women to compete in a difficult, shrinking job market where, they may also believe, women would face significant prejudice? (For example: “Men are socialized to be socially insensitive competitors, and women are socialized to be socially sensitive cooperators. Philosophy should not be more difficult for cooperators but that’s the way it is, so women had best go elsewhere, especially given that secure jobs worth having are so scarce.” Or perhaps, thinking parentally, “Three quarters of philosophers are males and many of them are clueless or worse. You’ve got to spend a lot of time with them to do work at any level in philosophy. I wouldn’t want my brilliant daughter to subject herself to that, and a decent job in philosophy is just about impossible to get. I hope that she does something else.”) Or did some respondents read Q14’s remark about political correctness and respond in ways that hid any less than correct biases they have?

Would the following summary distort the results?

“In a survey to which about 1% of those involved in graduate study or research in Philosophy responded, less than 10% agreed to any extent with, ‘Personally, I think that even though it’s not politically correct to say it, men are often more suited than women to do high level work in Philosophy.’ The median response was instead strong disagreement with this statement.”

Some of the co-authors have published other research[12] which together with the analyses of Google searches by Seth Stephens-Davidowitz[13] provide evidence that gender-related brilliance-biases are reflected in adult judgments about very young boys and girls. If there is such a bias, then the results of Leslie et al might be taken to show that some academics are better than most at resisting this bias.[14] This is not exactly a cause for rejoicing, but it may be somewhat encouraging.

If, however, even a significant minority of the respondents were reluctant to reveal their politically incorrect biases, then the responses may indicate very little about US philosophers.

The individual responses for Philosophy faculty and graduate students only are given in an Appendix and are summarized directly below.

From Table S4: Values of the variables for Philosophy
FEM = Women PhD recipients in 2011 (NSF Survey of Earned Doctorates) 31.4%
AFR = African American PhD recipients in 2011 (NSF Survey of Earned Doctorates) 2.7%
ASI = Asian American PhD recipients in 2011 (NSF Survey of Earned Doctorates) 3.8%
FAB = Field‐specific Ability Beliefs (Range: 1-7) 5.11
FAB‐W = Field‐specific Ability Beliefs from women participants ((Range: 1-7) 5.23
FAB‐M = Field‐specific Ability Beliefs from men participants (Range: 1-7) 5.07
HW‐OC = hours worked On‐campus (Range: 1 to 8, 1‐7 corresponding to 10‐hour increments, and 8 corresponding to >70 hours) 2.71
HW‐T = hours worked Total (Range: as above) 5.88
SEL‐A = Selectivity ratings from all participants (Range: 1 to 10, each number corresponding to a 10% increment; with two additional options for “don’t know” and “no Ph.D. program”) 9.71
SEL‐P = Selectivity ratings from participants in departments in the top 10% (Range: as above) 9.71
GRE = Composite GRE z‐score 1.35
SYS = whether the field requires systemizing (Range: 1-7) 6.66
EMP = whether field requires empathizing (Range: 1-7) 3.65
S vs E = System[at]izing minus empathizing (Range: 0-7) 3.01
SUIT = judgments of whether women are less well suited than men (Range: 1-7) 2.66
WEL = whether the field is welcoming to women (Range: 1-7) 3.10
CHAL = whether women face more challenges than men in the field. (Range: 1-7) 5.47

Q14: These items ask about your own beliefs regarding X. Please rate your agreement with the following: Personally, I think that even though it’s not politically correct to say it, men are often more suited than women to do high level work in X;

Q15: This item asks about beliefs generally held by other academics in the field of X. Please rate your agreement with the following: Other academics in X tend to think that even though it’s not politically correct to say it, men are often more suited than women to do high level work in X;

Q16: These items ask about your own beliefs regarding X. Please rate your agreement with the following: Personally, I think that women face more challenges than men if they pursue careers in X;

Q17: These items ask about your own beliefs regarding X. Please rate your agreement with thefollowing: Personally, Ithink that X as a discipline is welcoming to women

(Q14-Q17: 1=Strongly Disagree to 7=Strongly Agree). (X=Philosophy) (Supplement)

Distributions of Median Responses for All Thirty Disciplines (Philosophy highlighted)

Median(Q14: men are often more suited than women to do high-level work in X)

Median: 1 Range: 1 – 2.5 Mean: 1.1 Stdev: 0.3

Median(Q15: Others think men are often more suited than women to do high-level work in X)

Median: 2.5 Range: 1 – 4 Mean: 2.7 Stdev: 0.9

Median(Q16: women face more challenges than men in X)

Median: 5 Range: 4 – 6 Mean: 5.0 Stdev: 0.6

Median(Q17: X is welcoming to women)

Median: 5 Range: 3 – 6 Mean: 4.9 Stdev: 0.9

Distribution of Responses for Philosophy Only Q14-Q17

Q14: men are often more suited than women to do high-level work in Philosophy

SD D WD NAND WA A SA

Median: 1 Range: 1-7 Mean: 1.8 Stdev: 1.4

Q15: Others think men are often more suited than women to do high-level work in Philosophy

SD D WD NAND WA A SA

Median: 3.5 Range: 1-7 Mean: 3.5 Stdev: 1.6

Q16: women face more challenges than men in Philosophy

SD D WD NAND WA A SA

Median: 6 Range: 2-7 Mean: 5.5 Stdev: 1.5

Q17: Philosophy is welcoming to women

SD D WD NAND WA A SA

Median: 3 Range: 1-7 Mean: 3.1 Stdev: 1.6

Summarizing: 20 of the 58, 17 of them males, less than Strongly disagreed with Q14. 4 of the 58 agreed to some extent with Q14. The 3 females of the 20 were graduate students at private research universities and either Somewhat disagreed or Agreed (rather than Strongly Disagreed) with Q14.

Q14 – … men are often more suited than women to do high-level work in Philosophy
Q25 Gender Q20 institution Q22 position SA A WA NAND WD D SD Total
female private research university graduate student 0 0 0 0 1 2 7 10
female private research university tenured 0 0 0 0 0 0 4 4
female private research university TT 0 0 0 0 0 0 2 2
male liberal arts college graduate student 0 0 0 0 0 0 1 1
male private research university graduate student 1 1 2 1 1 3 10 19
male private research university NTT 0 0 0 1 0 0 1 2
male private research university post-doc 0 0 0 0 0 0 1 1
male private research university tenured 0 0 0 1 0 0 1 2
male private research university TT 0 0 0 0 0 0 2 2
male public university graduate student 0 0 0 0 1 2 4 7
male public university NTT 0 0 0 0 0 0 1 1
male public university tenured 0 0 0 1 0 1 3 5
male public university TT 0 0 0 0 0 1 1 2
Totals 1 1 2 4 3 9 38 58

Major and Career Choice

Question #4: Does the (stereotype-based?) misclassification of Philosophy by widely used career screening tools make it less likely that American women and minorities will major in philosophy?

To an extent difficult to quantify, students’ choice of majors is influenced by their career goals. Many students are or become uncertain about their career goals during their time in college. (At the large state university where I teach, undergraduates change majors three times on average before graduating.) They may seek career counseling of various sorts. Among the most commonly offered tools used in career counseling are John Holland’s career-and-personality inventories, based on his RIASEC model, which is, in the US, a de facto federal standard.

Realistic: prefers activities like working with animals, tools, machines, or electronic equipment; concerned about goods, money, and power; practical, mechanical, and realistic; and seeing the world in simple, traditional, concrete, direct ways. Examples: Crop Production, Aquaculture, Turf Management, Criminal Justice, Architectural Engineering Technology, Robotics Technology, Materials Engineering, Natural Resources Management.

Investigative: prefers activities like systematic observation, understanding and solving science and math problems; develop scientific, analytical, and mathematical skills and competencies; scholarship, intellectualism, academic and scientific rigor; precise, scientific, and intellectual; having mathematical, analytic, and scientific abilities; and see the world in complex, abstract, and original ways. Examples: Meteorology, Chemistry, Animal Sciences, Veterinary Medicine, Biotechnology, Ecology, Dentistry, Pharmacy. [Includes many of the highest paying occupations.]

Artistic: prefer activities like art, drama, crafts, dance, music, or creative writing; appreciate creativity, literature and the arts; expressive, original, and independent; see the world in complex, independent, unconventional, and flexible ways. Examples: Applied Linguistics, American Literature, Philosophy, Creative Writing, Architecture, Graphic Design, Fine Arts, Dance, Acting, Music, Conducting, Journalism.

Social: prefer activities like training, teaching, developing, curing, or counseling; agreeable, cooperative, friendly, helpful, responsible, empathic, tactful; people who like to help and understand others, work with others by being friendly, helpful, and cooperative. Examples: Counseling psychology, Child Development, Social Work, Deaf Studies, Clinical Nutrition, Physician Assistant, Nursing, Dance Therapy, Library Science, Teaching.

Enterprising: prefer activities like selling or leading others; leadership and speaking abilities; value e.g., money, power, status; assertive, popular, self-confident, sociable, adventurous, enthusiastic, extroverted, optimistic, forceful. Examples: Auctioneering, Real Estate, Hair Styling, Law/Legal Studies, Dispute Resolution, Music Management, Business Administration, Labor Studies, E-Commerce, Accounting, Public Policy Analysis, Public Administration, Advertising.

Conventional: prefer activities like recording and organizing data or records according to a set plan; operating business and data processing equipment; conforming, orderly; having clerical competencies; careful, conforming, conscientious, obedient, thrifty, practical, persistent, and orderly. Examples: Taxation, Accounting Technology, Air Traffic Controller, Agricultural Business Technology, Retailing and Retail Operations, Banking and Financial Support Services.

The inventories are available online (at no cost) and they generate recommendations in well under an hour.[15] While career counselors typically advise against relying solely on the results of such screening tools, many students will never consult such counselors and even if the students receive corrective advice they may continue to give the test results unwarranted weight. See the Appendix on Career Screening Tools, below, for sources.

There is good reason to believe that Holland’s scheme grossly misclassifies Philosophy by labeling it as primarily “Artistic” and secondarily “Social.” Any student with interests and abilities congenial to study in Philosophy will be directed elsewhere.[16] The mismatch occurs, I suspect, because a mid-1950’s view of those two disciplines was initially taken by Holland and a collaborator (associating philosophy with something then called “scholastic philosophy,” a major intended as preparation for future priests) and because the number of people who pursue the majors is so small that any samples studied by Holland would not be large enough to skew the analysis of larger, super-groupings in a readily detectable way.[17] Also, RIASEC classifications were based initially on surveys of incoming freshmen. (Additional historical detail available on request. The current purveyors of the related, widely used Strong Interest Inventory appear disinterested in investigating for likely bias.)

Another way in which standard approaches in career counseling are likely to result in bad advice is by reliance on a stereotype-corrupted and highly questionable distinction between “people-oriented” and “thing-oriented” occupations. It is very common to invoke a distinction between “thing-oriented” and “people-oriented” jobs, and to “observe” that women are drawn more to the latter than the former. The distinction itself is puzzling with no clear, principled basis and seems to reflect a grab bag of historical factors and biases.[18]

If something could be done to stop the skewed advice-giving offered by career counselors, it might have a positive effect on recruitment. This is a matter in which the APA[19] should be interested. It is surely no aid to recruiting women and minorities to have them misdirected by screening based on Holland’s scheme. If women and minorities perceive greater risk, the effect of this misdirection may be greater than for white male students. As one writer says,

Career centers at schools with largely affluent student bodies may see few young adults walk through their doors because people from middle- and upper-income backgrounds likely have family members and friends whom they can consult about employment opportunities instead. If a young man has a doctor or a writer in his family, for example, he can talk with that relative and even shadow her on the job to figure out if that’s the route he’d like to take. If it is, that family member can open up her professional network to the young man to help him land a job—precisely the kind of support that a career center would aim to provide.

It isn’t surprising, then, that blacks and Hispanics, as well as first-generation students and students who are older than the traditional college-going population, rated the help they received from their career services office and academic advisers more positively than did their white and more affluent counterparts. Especially for first-generation students, a career center might be the first source of job advice they’ve ever encountered. Obviously, not all black and Hispanic students are low-income, but in the United States they are far more likely[20] than whites to be poor, largely due to the country’s legacies of racism and discrimination, which determines how connected they are to the professional workforce.[21]

Given the relatively small size of philosophy major programs at many institutions (as percentage of students enrolled in all of the courses that they offer, which seems to be around five percent), the misclassification of philosophy should be of concern more generally. A small change in the number of majors can kill or save a degree program.

However, one large study[22] (covering 2005-2014, N = 1,283,110) found a small to moderate difference between men and women on Artistic and Social scales with women indicating greater interest. It would not of course be a good idea to misrepresent Philosophy so as to encourage more women to pursue studies in it, but it might be that the way in which it is done would benefit from greater emphasis on those aspects of it that appeal to those with higher Artistic and Social scale scores.

Some have suggested relying on the Big Five Model of Personality, but given that it might as well have been, say, the Big Six or Big Four Model, this might not be so helpful. It might nonetheless be an improvement over RIASEC (especially if the more fine-grained facets of the Big Five Model could be used[23]).

Appendix: Career Screening Tools [material quoted from indicated sources]

https://www.careeronestop.org/ Sponsored by the U.S. Department of Labor. A proud partner of the americanjobcenter network

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Careers

Interest assessment

  • 30 quick questions
  • About 5 minutes
  • Learn about careers that might be best for you

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The Interest Assessment is based on O*NET’s Interest Profiler. Occupation outlook, wage, and education data come from several U.S. Department of Labor data sources. Please visit the Help page https://www.careeronestop.org/Toolkit/Careers/interest-assessment-help.aspx to learn more.

How does the Interest Assessment come up with my career matches?

The Interest Assessment uses your answers to the 30 questions to make a profile of your interests. Your profile takes into account the activities you like as well as those you dislike. Then your profile is compared to the profiles of different careers, and the most similar matches are listed in your results. O*NET, https://www.onetcenter.org/IP.html?p=3 which powers the Interest Assessment, provides more details.

What is the Interest Assessment based on?

The Interest Assessment is based on O*NET’s Interest Profiler, https://www.onetcenter.org/IP.html which is based on Dr. John Holland’s theory that people’s interests and work environments can be loosely classified into six different groups, Realistic, Investigative, Artistic, Social, Enterprising, and Conventional. Download the RIASEC interest descriptions to learn more. https://www.careeronestop.org/TridionMultimedia/tcm24-26027_RIASECinterestdescriptions.doc By determining your interests, the assessment can identify the types of work environments most likely to match.

For most people, two or three interest groups are stronger than the others. For example, if your profile is Social, Artistic and Enterprising, you probably most closely resemble the Social work environment, next most closely the Artistic type, and not quite as much the Enterprising type. The other types, not in your profile, are the types you resemble least.

Like people, most careers reflect a combination of two or three of the Holland interest areas. People are usually most satisfied if their work environment and their interests share some aspects in common.

This system has been tested and used with a wide variety of people, and has been found to be consistently reliable, meaningful, and easy to use.

https://www.careeronestop.org/getmyfuture/toolkit/occupation-profile.aspx

Interest Profiler Overview: https://www.onetcenter.org/IP.html

The O*NET Interest Profiler measures six types of occupational interests:

  • Realistic
  • Investigative
  • Artistic
  • Social
  • Enterprising
  • Conventional

Formats

  • Interest Profiler Short Form — web-based, 60 questions
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  • Computerized Interest Profiler — downloadable for Windows, 180 questions

Features

  • Compatible with Holland’s R-I-A-S-E-C Interest Structure (Holland, 1985)
    • rich and extensive research history
    • widely accepted and used by counselors
    • easy to use and well received by clients
  • Interest items represent a broad variety of occupations and complexity levels
  • Extensive and thorough development effort
    • client input during all stages
    • construct validity and reliability evidence
  • Can be self-administered and self-interpreted
  • Can be used on a stand-alone basis or with other O*NET Career Exploration Tools or with privately developed instruments
  • Results can be directly linked to over 900 occupations in O*NET OnLine
  • Completion time approximately 10-30 minutes, depending on format

The GetMyFuture Interest Assessment is based on Dr. John Holland’s theory that people’s interests and work environments can be loosely classified into six different groups, Realistic, Investigative, Artistic, Social, Enterprising, and Conventional [RIASEC]. Read on for descriptions of each of the six interest types.

Realistic: Realistic people tend to have athletic interests, prefer to work with objects, machines, tools, plants or animals, and like to be outdoors.

At work and at home, you may:

  • Be independent, practical, systematic, self-controlled, and straightforward
  • Like to work outdoors, be physically active, work on electronic equipment, train animals, and build things
  • Be able to play a sport, fix things, operate tools and machinery, plant a garden, camp outdoors

Investigative: Investigative people like to observe, learn, investigate, analyze, and solve problems.

At work and at home, you may:

  • be logical, curious, thoughtful, observant, and intellectual
  • like to work independently, explore ideas, analyze data, explain scientific theories, or perform experiments
  • be able to think abstractly, interpret formulas, use a computer or microscope, or solve complex problems

Artistic: Artistic people like to work in unstructured situations using their imagination and creativity.

At work and at home, you may:

  • be creative, imaginative, unconventional, expressive, innovative, and impulsive
  • like to work on crafts, take photos, attend concerts, art exhibits, and plays, or enjoy reading fiction
  • be able to sing, play an instrument, act or dance, draw or paint, create designs, or write stories, poetry and music

Social: Social people like to work with people to inspire, inform, help, train or cure them.

At work and at home, you may:

  • be patient, insightful, responsible, cooperative, outgoing, and skilled with words
  • like to work in groups, volunteer, solve personal problems, or serve your community
  • be able to teach others, mediate, lead a discussion, communicate well, or plan and supervise activities

Enterprising: Enterprising people like to work with people to influence, persuade and lead them, and to achieve organizational or financial goals.

At work and at home, you may:

  • be assertive, energetic, persuasive, ambitious, or optimistic
  • like to make decisions, take on leadership roles, meet influential people, or run campaigns
  • be able to initiate projects, give speeches, persuade or inspire others, lead a large group, or develop organizational goals

Conventional: Conventional people like to work with information, carry out detailed tasks, and have clerical or numerical interests.

At work and at home, you may:

  • be efficient, well-organized, persistent, methodical, or conscientious
  • like to follow a plan, organize information, work with numbers, use a computer, or collect data
  • be able to meet deadlines, keep good records, organize documents, use a database, or work with systems.

Appendix: Leslie et al Survey Responses for Philosophy (N=58)

Survey Responses for Philosophy Only
Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Q28 Q29 Q30 R29 R30
4 5 1 3 6 6 1 2 7 5 5 4 4 1 4 6 2 1 1 2 5 1 2 4 1 5 3 3 3 3
5 5 4 4 5 5 3 4 7 7 6 6 3 1 6 7 3 1 2 2 1 2 1 1 5 1 4 1 4
6 6 1 6 6 6 1 6 7 7 4 2 5 1 2 5 4 1 3 2 5 1 1 4 1 5 5 2 5 2
3 7 1 2 4 7 1 3 7 7 3 2 3 1 5 7 1 1 2 2 1 2 1 1 5 5 2 5 2
5 5 6 6 6 6 5 5 7 7 2 7 2 3 6 7 3 1 1 2 1 1 1 1 5 4 2 4 2
6 6 1 2 6 6 4 2 2 1 2 5 4 1 1 2 1 1 1 1 5 3 5 3 5
6 5 2 3 7 6 2 2 7 6 3 4 4 5 6 3 3 1 1 2 1 1 1 1 5 3 1 3 1
7 6 1 4 7 7 2 2 5 7 4 2 5 1 4 6 5 1 1 2 5 1 1 4 1 6 2 5 2 5
6 5 1 3 5 4 1 3 7 7 5 3 3 1 1 4 5 1 1 2 5 1 1 3 1 5 4 2 4 2
6 5 1 3 5 6 1 4 7 7 3 1 3 1 3 7 5 1 1 2 1 2 1 1 5 1 3 1 3
5 5 4 4 6 6 4 2 6 7 6 4 2 2 3 5 3 1 1 2 1 1 1 1 5 3 2 3 2
4 5 1 2 4 5 1 3 7 7 4 3 3 1 3 7 1 1 3 2 4 1 2 2 2 5 2 3 2 3
5 5 1 3 5 5 1 4 6 7 5 5 4 1 1 2 7 1 1 2 1 1 1 1 5 6 1 6 1
4 5 3 3 4 5 2 3 6 6 4 3 3 1 1 5 4 1 1 2 1 1 1 1 5 2 2 2 2
6 6 1 4 6 6 1 4 7 7 3 3 3 1 2 5 3 1 1 2 1 1 1 1 5 2 3 2 3
7 7 1 5 6 6 2 2 7 7 5 3 3 1 2 7 2 1 1 2 4 1 1 2 2 5 3 3 3 3
6 6 2 2 2 6 2 6 7 7 7 2 2 2 2 6 2 1 1 2 1 1 2 1 2 1 5 1 5
6 7 1 4 7 7 1 2 7 7 1 2 3 5 3 4 3 1 1 2 1 1 2 1 5 1 5 1 5
6 6 2 4 6 6 1 5 7 7 4 2 3 4 5 5 3 1 1 2 1 1 1 1 5 3 1 3 1
6 6 5 4 5 5 5 5 7 7 4 4 4 1 1 5 7 1 1 2 1 1 1 2 7 4 1 4 1
4 6 3 3 5 6 5 4 7 5 2 2 3 7 5 6 3 1 1 2 1 1 1 1 5 2 4 2 4
6 6 1 3 7 6 2 3 7 7 5 2 2 1 1 4 6 1 1 2 1 2 1 1 5 1 4 1 4
5 5 1 6 5 5 2 3 7 7 1 1 2 1 5 7 1 1 1 2 2 1 2 1 5 3 3 3 3
4 5 1 5 4 4 2 6 7 7 5 3 3 1 4 4 4 1 1 2 1 1 1 1 5 3 2 3 2
6 6 2 2 6 5 3 3 6 7 2 1 3 2 3 6 4 1 1 2 1 1 1 1 5 1 2 1 2
7 5 1 4 6 6 1 4 7 7 7 2 3 1 6 7 1 1 1 2 4 2 2 3 1 5 1 4 1 4
5 4 2 2 6 6 2 3 7 6 2 2 3 1 5 6 2 1 1 2 1 1 1 1 5 2 4 2 4
5 6 2 5 7 7 1 1 7 7 5 6 3 1 4 7 3 1 3 2 1 1 1 1 5 2 4 2 4
6 6 1 2 6 6 1 2 6 7 2 2 3 4 4 4 5 1 1 2 5 1 1 5 1 5 3 4 3 4
6 7 1 4 6 6 1 4 7 7 4 7 4 3 6 2 2 1 1 2 1 2 2 1 5 2 2 2 2
6 7 1 3 5 6 2 3 7 6 5 5 3 4 2 4 4 1 1 1 5 1 1 3 1 5 1 5 1 5
5 5 3 3 5 5 2 3 6 5 2 2 3 3 2 3 6 1 1 1 1 1 1 1 5 7 1 7 1
6 7 1 2 1 1 7 7 7 7 5 5 3 1 5 5 3 1 1 1 1 1 1 1 5 1 5 1 5
3 5 3 5 6 6 2 2 7 7 5 6 3 1 5 6 2 1 1 1 5 1 2 4 1 5 3 4 3 4
5 5 3 3 5 5 3 3 7 7 4 2 4 1 4 6 2 1 1 1 5 1 1 3 1 6 1 5 1 5
5 5 3 5 6 6 2 3 6 7 3 3 3 2 6 7 2 1 1 1 5 1 2 3 1 5 3 3 3 3
5 5 1 5 6 6 1 2 6 7 2 3 3 1 5 7 1 1 1 1 1 1 1 1 2 2 3 2 3
6 6 1 2 6 6 2 2 5 5 2 2 4 1 1 4 3 1 1 2 1 2 2 1 5 2 5 2 5
2 4 2 3 4 5 1 2 7 7 6 5 3 1 3 7 2 1 1 1 5 3 1 2 1 5 3 3 3 3
2 6 2 6 7 6 2 2 7 7 4 3 3 2 3 5 4 1 1 1 4 2 1 3 1 2 2 8 2 8
4 5 2 4 4 4 2 4 7 7 2 3 2 1 3 6 3 1 1 1 1 1 1 1 5 1 5 1 5
5 4 7 6 3 5 3 4 5 4 7 3 4 6 4 4 2 1 1 2 1 1 1 1 5 4 2 4 2
3 5 3 6 3 5 4 6 7 7 4 2 2 1 3 6 3 1 1 1 1 1 1 1 5 3 1 3 1
6 7 1 3 6 6 1 2 7 7 2 1 3 2 5 5 3 1 1 1 1 1 1 1 5 3 4 3 4
2 3 5 6 3 3 4 5 7 6 5 4 4 1 2 3 3 1 1 1 3 1 1 2 1 5 1 5 1 5
5 5 3 4 5 4 3 4 6 7 5 5 3 2 4 5 4 1 1 1 1 2 1 1 5 2 3 2 3
4 4 3 5 7 5 4 5 6 6 6 4 2 2 5 7 1 1 2 2 1 1 2 1 5 2 3 2 3
6 6 2 3 4 4 4 4 7 7 5 4 3 2 1 2 7 1 2 2 1 1 2 1 5 2 4 2 4
2 4 1 6 3 5 1 4 7 7 3 3 3 1 1 6 4 2 4 1 4 2 2 1 5 4 2 4 2
3 4 3 3 4 4 4 4 7 5 6 4 2 1 4 7 2 1 2 2 1 2 1 1 5 2 3 2 3
2 2 6 5 7 7 1 1 5 7 5 4 3 1 3 7 3 1 1 2 4 1 2 2 1 5 2 3 2 3
6 6 1 6 6 6 2 7 7 7 5 2 3 1 3 7 2 1 2 2 1 1 1 1 3 2 3 2 3
5 5 2 2 6 7 1 7 7 7 3 1 2 1 2 7 2 1 2 2 5 2 1 3 1 5 4 3 4 3
5 5 4 6 4 5 4 3 7 7 5 3 4 1 3 7 2 1 1 2 1 1 1 1 5 2 4 2 4
7 7 1 1 7 7 1 1 7 7 4 3 2 4 4 4 4 1 2 2 3 DK 1 2 1 5 5 2 5 2
2 4 2 6 4 4 2 4 6 7 4 4 3 1 4 5 3 1 1 3 1 1 2 1 5 5 2 5 2
6 6 2 6 6 6 2 6 7 7 5 3 4 1 7 7 1 1 2 2 1 2 1 1 5 8 1 8 1
2 2 3 7 4 6 4 6 7 7 4 7 2 1 6 7 1 1 2 2 3 DK 1 2 1 5 2 4 2 4

Appendix: Pre/Post Tests:

Having discontinued the Intuition Inventory surveys in Spring 2015, I ‘replaced’ them with a pair of Pre/PostTests on matters that I take the course to settle more or less definitively. I gave these pairs of tests, each containing 25 T/F questions and each worth 5% of the course grade (for a total of 10%), during Fall 2015 and Spring 2016. Results are summarized below. Each test was open-book, given online through the course web site and was available for sixty consecutive minutes of the student’s choosing during one designated 24-hour period. Course policy also permits some group work on all quizzes, tests and exams. Every test in the course contains a reminder to search for relevant material in required readings. Mean time to completion for the Pre/PostTests was under 20 minutes. Over 95% took both the Pre and PostTests; results below are only for those students who took both.

Only scores were released for the PreTests; scores plus questions with correct answers and feedback were released only after the PostTest, though students were told before the PreTest that exacty the same T/F questions would occur on both the PreTest and the PostTest. However, students were not told that correct answers were given and explained fully at the end of the course text, which I wrote and which was provided to all students as a searchable pdf file by the first day of classes. The chapter containing the answers was not specifically designated as required reading in the syllabus (though many students don’t read that either). Students could readily have recorded all 25 T/F questions on the PreTest for future reference. I have no evidence that any student ever recorded the questions or discovered the answers in the text.

The Pre/Post Tests were given during Fall 2015 and Spring 2016, and were then discontinued

Noteworthy contrasts between Pre/Post Test results and Survey results are highlighted below. The table is sorted in order of decreasing magnitude of improvement (=PostTest % correct – PreTest % correct)*.

F15-Sp16 PreTest vs PostTest (N=419) % answering correctly F10-Sp15 Surveys
Question (T/F) (True statements in shaded bold) Pre Post *Post– Pre Intuition Inventory 1 Intuition Inventory 2 II2-II1
In doing science, one should never accept any statements on faith or without proof. 31% 68% 37% 23% (SD+D) 62% (SD+D) 39%
There is no argument or evidence for the claim that there are non-physical minds (“souls”); and thus the claim that there are non-physical minds (“souls”) must be believed on faith, if it is believed at all. 43% 66% 23% 20% (SD+D) 25% (SD+D) 5%
There is some evidence that the universe is the product of design by one or more intelligent beings. 43% 62% 19% 51% (SA+A) 53% (SA+A) 2%
Science must be based on observation and thus may talk about only what can be observed with the five senses alone: what can be seen, heard, felt, tasted or smelled. 60% 79% 19% 16% (SD+D) 34% (SD+D) 18%
For any person and any action, if a person believes that an action is morally right then that action is morally right, and for any person and any action, if a person believes that an action is not morally right then that action is not morally right. (slogan: “All morality is ultimately and wholly determined by individuals’ beliefs.”) 67% 84% 17% 31% (SD+D) 40% (SD+D) 9%
The main and defining aim of science is to find facts. 53% 71% 17% 17% (SD+D) 26% (SD+D) 9%
During the past one hundred years, there have been some well-designed, properly analyzed experiments that have shown that some people have some sort of ‘ESP’. 71% 85% 14% 42% (SD+D) 43% (SD+D) 1%
For any person and any action, if a culture believes that the person’s performing the action is morally right, then the person’s performing the action is morally right; and if a culture believes that the person’s performing the action is morally wrong, then the person’s performing the action is morally wrong. (slogan: “All morality is ultimately and wholly determined by a culture’s beliefs.”) 63% 76% 13% 23% (SD+D) 32% (SD+D) 9%
Religious doctrines cannot change. 77% 85% 8% 59% (SD+D) 65% (SD+D) 6%
Anything (even a computer) that always behaved as intelligently as I do, would have to BE intelligent. 85% 92% 7% 46% (SD+D) 59% (SD+D) 13%
Astrology typically gives accurate descriptions of peoples’ characters. 88% 95% 6% 55% (SD+D) 61% (SD+D) 6%
Only science tries to meet high standards in giving explanations. 89% 95% 6% 62% (SD+D) 70% (SD+D) 8%
One of the best ways to show that an explanation is wrong is to show that its proponents are typically immoral. 88% 93% 5%
I never think that something is true when it isn’t really true. [say this to yourself]

[Equivalently: “I never have any false beliefs.”]

89% 92% 4% 69% (SD+D) 74% (SD+D) 5%
For any person and any action, there are moral facts about which actions performed by the person are morally right and about which actions performed by the person are morally wrong: and these moral facts are not ultimately and wholly determined by individual beliefs and these moral facts are not ultimately and wholly determined by cultural beliefs.

(The meaning of the word “fact” does not imply being known. There are many facts that remain as yet undiscovered and there are many facts that will never be known by any human being.)

68% 71% 3% 60% (SA+A) 55% (SA+A)- -5%-
Astrology reliably gives accurate predictions of daily events in individuals’ lives. 97% 99% 2% 66% (SD+D) 69% (SD+D) 3%
Anyone who studies evolutionary theory in any way is inevitably morally corrupted by that study. 95% 95% 0% 60% (SD+D) 62% (SD+D) 2%
“I never think that something is true about my mind when it isn’t really true about my mind.” [say this to yourself]

[Equivalently: “I never have any false beliefs about my mind.”]

81% 79% -1% 53% (SD+D) 49% (SD+D) -4%
The only religions are: Christianity, Islam, Judaism. 98% 97% -1% 90% (SD+D) 89% (SD+D) -1%
Average[24] 73% 83% 10% 47% 54% 8%
Stdev 19% 11% 10% 20% 17% 9%

Correlation between Pre-Test and Post-Test Scores: 0.5

PreTest #correct

Normal Normal 3-mixture
Mean ± stdev 17.3 ± 3.5 7.6 ±1.3 16.1 ± 2.4 21.2 ± 1.6
Percentage of scores 100% 2% 72% 26%

PostTest #correct

Normal Normal 2-mixture
Mean ± stdev 20.2 ± 3.5 17.9 ± 3.1 22.7 ± 1.5
Percentage of scores 100% 51% 49%

Improvement = (PostTest #correct – PreTest #correct)

Normal
Mean 3.0 ± 3.4
Percentage of scores 100%

[AICc criterion used in JMP v.13 to select continuous Normal-mixture distributions noted above.]

Some differences by gender and by race:

Questions (T/F) PreTest (% correct) Post Test (% correct)
F-M B-W F-M B-W
The main and defining aim of science is to find facts. 11% -40% 10% -21%
“I never think that something is true about my mind when it isn’t really true about my mind.” [say this to yourself]

[Equivalently: “I never have any false beliefs about my mind.”]

-4% 17% 8% -22%
Anyone who studies evolutionary theory in any way is inevitably morally corrupted by that study. 0% -16% 2% -16%
Anything (even a computer) that always behaved as intelligently as I do, would have to BE intelligent. 5% 15% 5% -11%
Astrology reliably gives accurate predictions of daily events in individuals’ lives. -2% 2% 0% 0%
Astrology typically gives accurate descriptions of peoples’ characters. -1% -45% 0% 4%
During the past one hundred years, there have been some well-designed, properly analyzed experiments that have shown that some people have some sort of ‘ESP’. 0% -63% -4% -13%
For any person and any action, if a culture believes that the person’s performing the action is morally right, then the person’s performing the action is morally right; and if a culture believes that the person’s performing the action is morally wrong, then the person’s performing the action is morally wrong. (slogan: “Morality is ultimately and wholly determined by a culture’s beliefs.”) 4% -13% 0% -2%
For any person and any action, if a person believes that an action is morally right then that action is morally right, and for any person and any action, if a person believes that an action is not morally right then that action is not morally right. (slogan: “All morality is ultimately and wholly determined by individuals’ beliefs.”) 3% 11% 6% -28%
For any person and any action, there are moral facts about which actions performed by the person are morally right and about which actions performed by the person are morally wrong: and these moral facts are not ultimately and wholly determined by individual beliefs and these moral facts are not ultimately and wholly determined by cultural beliefs.

(The meaning of the word “fact” does not imply being known. There are many facts that remain as yet undiscovered and there are many facts that will never be known by any human being.)

-10% 11% -7% -30%
I never think that something is true when it isn’t really true. [say this to yourself]

[Equivalently: “I never have any false beliefs.”]

2% -11% 0% -16%
In doing science, one should never accept any statements on faith or without proof. 8% -20% -5% -15%
Only science tries to meet high standards in giving explanations. 2% -32% 0% 3%
Religious doctrines cannot change. -2% -46% 0% -33%
Science must be based on observation and thus may talk about only what can be observed with the five senses: what can be seen, heard, felt, tasted or smelled. 5% -46% -1% 9%
The only religions are: Christianity, Islam, Judaism. -4% 2% -4% -18%
There is no argument or evidence for the claim that there are non-physical minds (“souls”); and thus the claim that there are non-physical minds (“souls”) must be believed on faith, if it is believed at all. 11% -53% 13% -51%
There is some evidence that the universe is the product of design by one or more intelligent beings. 5% -2% 8% -4%
Average 2% -18% 2% -15%
Stdev 5% 25% 5% 15%
Avg # correct Asian or White Black/African American
PreTest 21 16
PostTest 24 19

The pattern of differences in the B-W percentages above suggest that Black/African-American students may be more resistant (than female students relative to male students overall) to majoring or taking additional courses in philosophy, if they expect to encounter challenges to religious beliefs in philosophy courses.

Over 99% of the students who enroll in the course do so to help satisfy general education requirements, and the majority are in STEM majors. The only survey items on which there are changes in the medians between II1 and II2 are the following eleven (where 1 codes Strongly disagree and 5 codes Strongly agree):

Item II1 Median II2 Median II2Median-II1Median
In doing science, one never accepts things on faith or without proof. 4 3 -1
Someday, there could be machines that can think.- 3 2 -1
My brain is a ‘meat machine’ – a sophisticated computer that can think. 4 3 -1
For any person and any action: If a person believes that an action is morally right, then that action is morally right, and for any person and any action: if a person believes that the action is not morally right, then the action is not morally right.- 4 3 -1
The only religions are: the various kinds of Christianity, Judaism and Islam. 2 1 -1
Someday, there could be a robot that has sensations (e.g., pain, pleasure) and emotions (e.g., joy, sadness). 4 3 -1
Anything (even a computer) that always behaved as intelligently as I do, would have to be intelligent. 3 2 -1
The Biblical story of creation ought to be taught, as a reasonable alternative to evolutionary theory, in science courses that discuss the origins of life or the universe. 2 3 1
Every statement that I believe about my mind is true. 2 3 1
NOT: In addition to a body, I have a soul that takes up no space. 2 4 2
Skepticism Index (sum of items favoring reductionist beliefs and reverse scoring for items expressing ‘conservative’ religious beliefs and) There was no change in the median of the mirror-image Religiosity Index. -20 -18 2

A few observations based on teaching over 15,000 students in the Northeast, Pacific Northwest and the South during 1975 – 2017.

i. Students who profess to be Biblical literalists are typically unaware of the distinction between Biblical literalism and Biblical inerrantism; many of them have not read most of the Bible, having instead heard certain passages repeated often for particular purposes. Of course, very few have read the Bible in its original languages, a failure that surprises and puzzles many Muslim students. The Biblical literalists often react negatively to questions about why they trust the particular translation of the Bible on which they rely. (I’ve been told by colleagues in Religious Studies that during the mid-20th century in the US, Biblical literalists typically designated the King James version as the canonical one and said that the translation was done under some sort of divine guidance. But I have never heard that defense from an undergraduate.)

ii. Asking students questions about what they have been taught to quote from the Bible [see (i), above] to justify their religious beliefs is felt to be an attack on and rejection of those beliefs. For example, in response to the Problem of Evil, it is very common for students to justify belief in God by saying that God’s ways are deeply mysterious and that humans suffer original sin. They then often take offense at the natural follow-up questions: “How would you persuade someone to worship such a deeply mysterious being?” “Why couldn’t God have designed a best universe without originally sinful beings?” and “Are you blameworthy for misdeeds done before you existed?”

iii. Somewhat less commonly, religiously “conservative” students are inclined to reject the concept of God as a supreme being and/or to suggest that moral standards are relative to individuals – we humans have ours, God has God’s, and they have little to do with one another (an aspect of God’s mysteriousness). [In the literature in the cognitive science of religion, there is much evidence that members of the Abrahamanic religions will often abandon an officially sanctioned concept of God as a supreme being in reasoning about their religious beliefs. Belief in a supreme being and belief in non-physical souls may be less common or less consistently held by individual believers than is widely thought. When faced with, say, Princess Elisabeth’s “no interaction” objection to Cartesian Dualism, a significant minority of students have responded by ‘deciding’ that the souls are physical. (And where are these surviving physical souls located after a person’s death? “Another dimension.”) A more common response is: “Because I can’t think of a good argument against the objection, I must rely solely on my now even stronger faith in non-physical souls.”]

iv. If one has been raised to believe that in religious matters, one should put aside standards of argument and evidence, study of philosophy is not apt to be attractive. Pointing out that there are many – indeed, infinitely many – things that one might take on faith and thus that taking on faith any particular beliefs requires some sort of defense (perhaps by adverting to fallible religious experience) also elicits considerable negative affect from students.

v. The admonition, “It’s as difficult and important to do good religion as it is to do good science,” which might be taken as expressing a positive attitude towards religion (and as a counter to critique by the New Atheists, who are apt to compare religion at its worst with science at its best), is instead often instead heard by students as hostile and threatening.

I very much doubt that many who have taught philosophy in the US to relevantly diverse or homogeneous student populations would be wholly unfamiliar with the reactions described. None of the reactions described is limited to recent years. None of them is likely to disappear soon, if ever. Such reactions would also be an obvious source of resistance to philosophical study and majoring in philosophy. I don’t know either the relative or absolute strength of these sorts of negative reactions in explaining the underrepresentation of women and African-Americans in philosophy. But I would be surprised if such reactions played no role.

Appendix: Reminder on Method:

Clark Glymour on Methods in Social Science

The hard issue is whether the methods of large parts of social science are bogus, phony, pseudoscientific. They are. The other hard issue is whether there are better methods [adapted] to the important parts of social science. There are.[25] (171)

Clark Glymour, “Social Statistics and Genuine Inquiry: The Case of The Bell Curve,” in The Mind’s Arrows: Bayes Nets and Graphical Causal Models in Psychology (The MIT Press, 2001) 171-204. [An earlier version was published in Philosophy of Science in 1998 and contains some interesting information on the sociology of Statistics and the social sciences that is not in the book.]

During the twelve years 1998-2010, there wasn’t much improvement in the situation overall:

The conjunction of statistical and probabilistic reasoning is too difficult for people, even people who claim to be experts. … Causal analysis in many social sciences is effectively computerized rituals with factor analysis and regression. Better computational procedures are available for the problems, but bad methods persist by tradition and because bad methods give definite answers where better founded procedures would report uncertainty. Uncertainty is hard to publish. But no computerized methods warrant failing to think about alternative explanations the computer could not have found or failing to check them out where one can. (136-7, emphasis added)

Clark Glymour, “Where Software Goes to Die,” in Galileo in Pittsburgh (Harvard University Press, 2010) 134-138.

Nor have the seven years since 2010 yielded enough improvement:

Andrew Gelman on the Garden of the Forking Paths and related matters: Stereotype Threat, Implicit Bias, Himmicanes vs Herricanes, Cuddy on Power Posing, Gottman on Success in Marriage, PNAS as a Vanity Press, …

http://andrewgelman.com (One can use his blog’s Search function to locate many postings, with extended discussions. While the issues addressed include those that are often described using the label “the replication crisis,” they go beyond and deeper.) Gelman frequently echoes Glymour’s remark, “The conjunction of statistical and probabilistic reasoning is too difficult for people, even people who claim to be experts.” and Gelman says that statisticians haven’t done a good job teaching social scientists how to do better.

In his

“The Connection Between Varying Treatment Effects and the Crisis of Unreplicable Research: A Bayesian Perspective,” Journal of Management (2014) DOI: 10.1177/0149206314525208,

Gelman remarks,

Interactions, in turn, are important because [some] statistically significant but unreplicable results can be seen as arising from varying treatment effects and situation-dependent phenomena (consider, just for one example, the wide variation in estimates of the effects of stereotype threat under different experimental conditions; Fryer, Levitt, & List, 2008; Ganley et al., 2013).

[The full citations for the two items on stereotype threat that Gelman refers to are:

Fryer, R. G., Levitt, S. D., & List, J. A. (2008). “Exploring the impact of financial incentives on stereotype threat: Evidence from a pilot study.” American Economic Review, 98: 370-375.

Ganley, C. M., Mingle, L. A., Ryan, A. M., Ryan, K., Vasilyeva, M., & Perry, M. (2013). “An examination of stereotype threat effects on girls’ mathematics performance.” Developmental Psychology, 49: 1886-1897.

Stereotype threat has been proposed as 1 potential explanation for the gender difference in standardized mathematics test performance among high-performing students. At present, it is not entirely clear how susceptibility to stereotype threat develops, as empirical evidence for stereotype threat effects across the school years is inconsistent. In a series of 3 studies, with a total sample of 931 students, we investigated stereotype threat effects during childhood and adolescence. Three activation methods were used, ranging from implicit to explicit. Across studies, we found no evidence that the mathematics performance of school-age girls was impacted by stereotype threat. In 2 of the studies, there were gender differences on the mathematics assessment regardless of whether stereotype threat was activated. Potential reasons for these findings are discussed, including the possibility that stereotype threat effects only occur in very specific circumstances or that they are in fact occurring all the time. We also address the possibility that the literature regarding stereotype threat in children is subject to publication bias.]

Two helpful items on the history and value of one line of research on implicit prejudice are:

Jesse Singal, “Psychology’s Favorite Tool for Measuring Racism Isn’t Up to the Job,” NY Magazine January 11, 2017 12:18 p.m. http://nymag.com/scienceofus/2017/01/psychologys-racism-measuring-tool-isnt-up-to-the-job.html

Gregory Mitchell and Philip E. Tetlock, “Popularity as a Poor Proxy for Utility: The Case of Implicit Prejudice,” in Scott O. Lilienfeld and Irwin D. Waldman, eds., Psychological Science Under Scrutiny: Recent Challenges and Proposed Solutions, First Edition. (John Wiley & Sons, Inc., 2017) 164-195. https://ssrn.com/abstract=2973929

-and a useful summary judgment is provided by:

Edouard Machery, “Should We Throw the IAT on the Scrap Heap of Indirect Measures?” http://philosophyofbrains.com/2017/01/17/how-can-we-measure-implicit-bias-a-brains-blog-roundtable.aspx

“… we’ve learned that people aren’t really unaware of whatever it is that the IAT measures. So, whatever it is that the IAT measures isn’t really unconscious. And we’ve learned that the IAT predicts very little proportion of variance. In particular, only a tiny proportion of biased behavior correlates with IAT scores. We have also learned that your IAT score today will be quite different from your IAT score tomorrow. And it is now clear that there is precious little, perhaps no, evidence that whatever it is that the IAT measures causes biased behavior. So, we have a measure of attitude that is not reliable, does not predict behavior well, may not measure anything causally relevant, and does not give us access to the unconscious causes of human behavior. It would be irresponsible to put much stock in it and to build theoretical castles on such quicksand.”


[1] It is not my intention to suggest that there aren’t other, more significant factors contributing to the underrepresentation of women and minorities in Philosophy. As Yann Benétreau-Dupin & Guillaume Beaulac, “Fair Numbers: What Data Can and Cannot Tell Us About the Underrepresentation of Women in Philosophy” http://philpapers.org/archive/BENFNW.pdf Ergo 2 (3), 59-81 points out, there are many practices that ought to be adopted whatever the full explanation for underrepresentation turns out to be. It is still worth getting as clear as possible about the range of causes in order to inform the search for any other needed remedies.

[2] Kristin Blagg, Matthew M. Chingos, Claire Graves, Anna Nicotera, “Executive Summary,” Rethinking Consumer Information in Higher Education, Research Report, Urban Institute (July 2017), v. http://www.urban.org/sites/default/files/publication/91666/rethinking_consumer_information_in_higher_education_2.pdf Linked from: https://www.insidehighered.com/quicktakes/2017/07/12/little-interest-earnings-data-among-prospective-students On the latter, one commentator remarks that we have almost no idea how students choose majors. There is research suggesting that female students are less motivated by salary considerations than male students and that female students are more motivated by the promise of flexibility and stability than male students. See, e.g., Matthew Wiswall and Basit Zafar, “Preference for the Workplace, Investment in Human Capital, and Gender,” Federal Reserve Bank of New York Staff Reports, no. 767 (March 2016) http://www.nber.org/papers/w22173. Benoit Rapoport , Claire Thibout , “Why Do Boys and Girls Make Different Educational Choices? The Influence of Expected Earnings and Test Scores,” Economics of Education Review (2017), doi: 10.1016/j.econedurev.2017.09.006. Long, M., Goldhaber, D., and Huntington-Klein, N. (2014). Do Students’ College Major Choices Respond to Changes in Wages? CEDR Working Paper 2014-6. University of Washington, Seattle, WA.

[3] I don’t know what percentage of undergraduates consider a faculty position to be “a job in philosophy.” Do undergraduates typically think of Departments of Philosophy as workplaces? Do they even think of Departments of Philosophy?

[4] https://scholar.harvard.edu/iris_bohnet/what-works

[5] See, e.g.:

Byrnes, J.P., Miller, D.C., & Schafer, W.D. (1999). Gender differences in risk-taking: A meta-analysis. Psychological Bulletin, 125(3), 367-383. (which finds significant differences but that the kinds of risk being taken matter for magnitude and direction of difference, emphasized in the next reference) https://www.researchgate.net/publication/232541633_Gender_Differences_in_Risk_Taking_A_Meta-Analysis

Becker SW, Eagly AH, “The heroism of women and men,” American Psychologist 2004 Apr;59(3):163-78.

Paolo Crosetto, Antonio Filippin and Janna Heider, “A Study of Outcome Reporting Bias Using Gender Differences in Risk Attitudes,” CESifo Economic Studies, Vol. 61, 1/2015, 239–262 doi:10.1093/cesifo/ifu029.

Julie A. Nelson, “Are Women Really More Risk-Averse Than Men? A Re-Analysis of the Literature Using Expanded Methods” Journal of Economic Surveys (2015) Vol. 29, No. 3, pp. 566–585.

Julie A. Nelson, “The power of stereotyping and confirmation bias to overwhelm accurate assessment: the case of economics, gender, and risk aversion” Journal of Economic Methodology, 2014 Vol. 21, No. 3, 211–231, http://dx.doi.org/10.1080/1350178X.2014.939691.

Julie A. Nelson (2016) “Not-So-Strong Evidence for Gender Differences in Risk Taking, “Feminist Economics, 22:2, 114-142, DOI: 10.1080/13545701.2015.1057609.

[6] For an overview of some recent survey results, see the summary charts at http://www.pewforum.org/religious-landscape-study/gender-composition/ and http://www.pewforum.org/religious-landscape-study/racial-and-ethnic-composition/ and use the data explorer at https://gssdataexplorer.norc.org/trends/Religion%20&%20Spirituality?measure=bible . US White and Black/African American Protestants may well be different in relevant ways from Protestants elsewhere. For an interesting perspective of the thinking and attitudes of some US Protestants, see, Tanya M. Luhrmann, When God Talks Back (2012) http://luhrmann.net/ . In my forty-three years teaching over 15,000 students, I’ve found that students who have attended Catholic schools have been generally more receptive to discussion of, e.g., arguments for or against the existence of God. I’ve also found that some home-schooled Protestant students are similarly receptive. But the survey results below do not track membership in particular religions. The student survey respondents have been, overwhelmingly, US Protestants.

[7] For helpful background, see, e.g., Eddie S. Glaude, Jr., African American Religion: A Very Short Introduction (Oxford University Press, 2014), as well as Glaude’s prior work cited therein.

[8] This difference might be explicable if the majors in which females are more numerous also have higher average cumulative GPAs. There is research reporting that STEM disciplines generally give somewhat lower grades. Or, females might be better students on average. I do not have enough data to support either of these hypotheses or others that might here deserve consideration.

[9] See the Appendix on the Pre/Post-Test for additional information that might be useful in interpreting the survey results given here.

[10] Geoff Norman, “Likert scales, levels of measurement and the ‘laws’ of statistics,” Advances in Health Sciences Education, Volume 15, Number 5 (December 2010) 625- 632. http://dx.doi.org/10.1007/s10459-010-9222-y.

[11] See e.g., Peter Fayers, “Alphas, betas and skewy distributions: two ways of getting the wrong answer,” Advances in Health Sciences Education, Volume 16 (March 2011) 291- 296 DOI 10.1007/s10459-011-9283-6. “Abstract: Although many parametric statistical tests are considered to be robust, as recently shown [by Geoff Norman], it still pays to be circumspect about the assumptions underlying statistical tests. In this paper I show that robustness mainly refers to a, the type-I error. If the underlying distribution of data is ignored there can be a major penalty in terms of the b, the type-II error, representing a large increase in false negative rate or, equivalently, a severe loss of power of the test.” “… type-II errors can be substantially increased if non-normality is ignored.” (292) and

Torrin M. Liddell and John K. Kruschke, “Analyzing ordinal data with metric models: What could possibly go wrong?” Journal of Experimental Social Psychology 79 (2018) 328-348. Abstract: We surveyed all articles in the Journal of Personality and Social Psychology (JPSP), Psychological Science (PS), and the Journal of Experimental Psychology: General (JEP:G) that mentioned the term “Likert,” and found that 100% of the articles that analyzed ordinal data did so using a metric model. We present novel evidence that analyzing ordinal data as if they were metric can systematically lead to errors. We demonstrate false alarms (i.e., detecting an effect where none exists, Type I errors) and failures to detect effects (i.e., loss of power, Type II errors). We demonstrate systematic inversions of effects, for which treating ordinal data as metric indicates the opposite ordering of means than the true ordering of means. We show the same problems — false alarms, misses, and inversions — for interactions in factorial designs and for trend analyses in regression. We demonstrate that averaging across multiple ordinal measurements does not solve or even ameliorate these problems. A central contribution is a graphical explanation of how and when the misrepresentations occur. Moreover, we point out that there is no sure-fire way to detect these problems by treating the ordinal values as metric, and instead we advocate use of ordered-probit models (or similar) because they will better describe the data. Finally, although frequentist approaches to some ordered-probit models are available, we use Bayesian methods because of their flexibility in specifying models and their richness and accuracy in providing parameter estimates. An R script is provided for running an analysis that compares ordered-probit and metric models.]

[12] Bian, L. Leslie, S.J, & Cimpian, A., “Gender stereotypes about intellectual ability emerge early and influence children’s interests,” Science, 355(2017) 389-391.

[13] Seth Stephens-Davidowitz, Everybody Lies: How Google Search Reveals our Darkest Secrets (Dey Street, 2017). “… of all Google searches starting “Is my two-year-old…,” the most common next word is “gifted”. But this question is not asked equally about boys and girls. Parents are two-and-a-half times more likely to ask “Is my son gifted?” than “Is my daughter gifted?” Parents show a similar bias when using other phrases related to intelligence that they may shy away from saying aloud, like “Is my son a genius?” … What then are parents’ overriding concerns regarding their daughters? Primarily, anything related to appearance.” https://www.theguardian.com/technology/2017/jul/09/everybody-lies-how-google-reveals-darkest-secrets-seth-stephens-davidowitz

[14] Shane Thompson, “College Advising and Gender,” Economic Inquiry Vol. 55, No. 2 (April 2017) 1007–1016, doi:10.1111/ecin.12421 (Online Early publication November 29, 2016) provides evidence that both female and male college advisors have similar biases. The author finds that, “advisors discount the ability of female students relative to males by statistically significant magnitudes in both mathematics and English. Additionally, male advisors recommend mathematics with much greater likelihood than do female advisors.”

[15] I can provide one version as an Excel spreadsheet with automatic scoring.

[16] Anyone who pursues a career in research of almost any kind would have to be somewhat creative and independent minded. If that’s what’s putting Philosophy in Artistic, then that would not differentiate Philosophy from just about any research career.

[17] After his early work on career guidance, Holland spent a year (c1971) at the Stanford Center for Advanced Study in the Behavioral Sciences when the philosopher William Alston was also in residence. Holland credits Alston with helping him to develop a more sophisticated approach. Alston published two articles critiquing some then-popular approaches to measurement of human psychological attributes. It is interesting to contemplate what the state of career counseling would be if not for the coincidence of their time at the Stanford Center.

[18] See, e.g., Virginia Valian, “Interests, Gender, and Science,” Perspectives on Psychological Science 2014, Vol. 9(2) 225–230. ”In this commentary on Nye, Su, Rounds, and Drasgow (2012) and Schmidt (2011), I address the value of occupational interest inventories for understanding sex differences in occupational choice and the extent to which occupational interests are malleable. In particular, I argue (a) that some subscales in interest inventories are too heterogeneous to be given a single label and that the labels that are applied to some subscales are inaccurate and misleading; (b) that “things versus people” is an inaccurate and misleading characterization of a dimension that is frequently associated with interest inventories and linked to sex differences; (c) that vocational interests will be valid predictors of job performance primarily in cases in which the job has been held for some time by a diverse group of people and not in cases in which job holders have been homogeneous; (d) that sex differences in interests are malleable and sensitive to small and subtle environmental cues; and (e) that women’s interest in math and science will increase if they have a feeling of belonging and an expectation of success.” [emphasis added] (Among her many other pointed questions, Valian asks if sewing is “thing oriented” or “people oriented.” Does sewing result in things-for-people? Doesn’t almost all engineering result in things-for-people? Many similar points could be made.)

[19] On 2/1/15, I wrote to Professor Elizabeth Anderson, then chair of the APA Task Force on Diversity and Inclusion. She replied, “I agree with you that classifying philosophy as an ‘artistic’ endeavor is pretty misleading. I will try to share this with the Task Force and consider what to do about it.” I don’t doubt that the Task Force and Professor Anderson have well-chosen, higher priorities.

[20] https://www.kff.org/other/state-indicator/poverty-rate-by-raceethnicity/?currentTimeframe=0&selectedDistributions=white–black–hispanic–other&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D

[21] Lolade Fadulu, “Why Aren’t College Students Using Career Services?” The Atlantic, 1/20/2018

[22] Morris, M.L. (2016). Vocational interests in the United States: Sex, age, ethnicity, and year effects. Journal of Counseling Psychology, 63(5), 604-615.

[23] https://www.personalitytest.net/ipip/index.html There is some research literature on using Big Five inventories in career counseling.

[24] The averages for only those items on both the Pre/Post Tests and the Surveys are 72% ± 20% and 84% ± 11%. “SA+A” – Strongly agree + Agree; “SD+D” – Strongly disagree + Disagree. The same population’s results for Pre- and Post-Tests is given; any student who missed one of the tests is excluded.

[25] Clark Glymour helped to develop some of the better methods. See: Peter Spirtes, Clark Glymour, and Richard Scheines, Causation, Prediction, and Search (The MIT Press, 2000), available at http://www.cs.cmu.edu/afs/cs.cmu.edu/project/learn-43/lib/photoz/.g/scottd/fullbook.pdf and http://www.phil.cmu.edu/tetrad/publications.html. Before Glymour, there was, e.g., Meehl, in the early 1950s.

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