The Mapping Project                 

 

Preliminary Results from the 
National Survey of Faculty
Revised: MAY 17, 2002

Introduction
This document reports preliminary results from a national survey of faculty performed as part of the Mapping Project, based at Penn State University and funded by the Alfred P. Sloan Foundation.  The project and survey concern the ways that faculty balance, or do not balance, commitments to work and family.

The theoretical framework for the survey was based upon the earlier work of Williams (1999), as applied to colleges and universities by Drago and Williams (2000), and by Drago, Crouter, Wardell and Willits (2001) in the earlier Faculty and Families Project at Penn State.  Williams argues that the 'ideal worker' norm has emerged around professional occupations such that substantial non-work commitments are neither expected nor tolerated as people work their way up career ladders in the U.S.  As a result, discrimination against parenting is implicit in many career ladders, occupations, and employing institutions.  Because women have historically performed most parenting work, Williams concludes that the ideal worker norm often leads to discrimination against women.

Within the academic context, the ideal worker norm may lead to 'bias avoidance' behaviors.  These behaviors occur when individuals deny themselves the opportunity to take on family commitments, attempt to minimize the impact of existing family commitments on work performance, or try to hide the performance of family tasks from co-workers or employers, all for the purpose of being perceived as committed and thereby securing career advancement.  

There are three specific reasons why the ideal worker norm may lead to bias avoidance behaviors in academia:

The survey was intended to answer a series of questions concerning the specific forms and general scope of bias avoidance behaviors. The main analysis will proceed over the next few months, while this preliminary analysis focuses on four questions:

Survey Development
The National Survey was developed and piloted as part of the Faculty & Families Project.  Two mail-out pilots were administered during the first half of 2001, and two pilots of the world-wide web version were administered during the latter half of 2001 and January of 2002.  Although other items are included, we capture bias avoidance for present purposes using one objective indicator -- the number of dependent children in the faculty member's home -- and two scales used in previous studies to capture organizational and supervisor support for the work/family commitments of employees.  Bias avoidance per se should be related to low numbers of children.  Norms relevant to bias avoidance should be associated with low values on the organizational and supervisor support scales.

The scales reported here capture (see National Survey for specific items):

Survey Administration
The survey process began with a sample of 702 colleges and universities in the U.S.  The initial group was selected as part of a stratified, random sample where stratification used the 1994 Carnegie classification of institutions of higher education as it applied to the 2000 Carnegie list.  Because of small numbers, all Research institutions were included while, due to very large numbers, a small fraction of associate's degree institutions were studied.  In addition, we included all institutions with membership in the College and University Work/Family Association  (CUWFA), and those listed as “leadership campuses” in an earlier study of these issues (Friedman, Rimsky & Johnson, 1996).  See the Appendix below for more information on the sample of institutions.

Of the 702 institutions, a total of 507 provided faculty names and email addresses to the public over the world-wide web.  The targeted sample was all faculty in Chemistry and English at these institutions, including faculty who were full-time or part-time, and either tenure-line or on a fixed contract.

The disciplines of Chemistry and English were picked because they are relatively but not completely gender imbalanced.  We wished to obtain samples from male-dominated and female-dominated disciplines while ensuring that both men and women would appear within the samples from each discipline in sufficient numbers for statistical purposes.   The Population Research Institute at Penn State checked 1999 figures from the National Center for Education Statistics for college and university teachers, and found 19.5 percent of those teaching Chemistry are women (although the proportion of women among tenure-line faculty is lower).  The comparable proportion for English is 60.1 percent.

Prospective respondents were sent an initial contact email letter, asking them to participate in the National Survey over the world-wide web. The email letters mentioned that CUWFA and the Committee on the Status of Women within the American Association of University Professors encouraged participation in the survey.  Respondents were provided with the opportunity to have a $2 donation made to the charity of their choice at the end of the survey, and were also given the option of receiving a written version of the survey.  Non-respondents were sent a follow-up email a week later, and a second follow-up email was sent after an additional week had passed to those who had not responded.  The method for identifying non-respondents was that each prospective respondent was assigned a random six-digit ID number.  These ID numbers were then used to create spaces in the survey response database to ensure that no respondent answered more than once.  When the survey was submitted, the computer program placed the response in the database, and removed the individual's name, email address, and ID number from the list for follow-ups.  Although this procedure did not guarantee anonymity, it came reasonably close to ensuring that we could not identify respondents.   

A total of 15,898 email letters were sent, and 1,264 of these bounced either because the address was incorrect or because the respondent was on sabbatical for the year.  Our prospective sample was therefore 14,634 respondents.  Of those, 5,087 individuals returned the survey either over the world-wide web or in writing, yielding an overall response rate of 34.8%.  Of the 5,087 responses, 62 were obtained from pilots administered during October and November of 2001, with the remainder being collected during February and March of 2002.  Only 4,188 respondents completed all items relevant to all respondents (non-parents were asked to skip eight items), yielding a net response rate of 28.6%.  

Although the final response rate was lower than we had hoped, the rates were substantially higher than those achieved when piloting the survey.  For example, an initial, mail-back version of the survey was sent during the spring of 2001 to 329 faculty at an anonymous research university; 78 surveys were returned (23.7% overall response rate), and 64 had all items completed (19.5% net response rate).  One of the pilots of the world-wide web based survey that did not have the individual identification codes included in the url (necessitating that respondents type the 6-digit code into the survey), began with 158 email invitations being sent during November of 2001, 16 of which bounced.  A total of 27 faculty responded to that survey (overall response rate 19.0% or 27/142).  The final response rates therefore represented a substantial improvement over the results of pilot survey administration.

Survey Results
The sample of respondents is described in Table 1 below.  Because weights have yet to be developed to approximate the relevant population distribution, all results are reported separately for women and men.  Additionally, some Carnegie ranking categories were combined due to small numbers in several categories, and the category of "Specialized schools - Technology," was excluded from Table 1 (and Table 2 below as well) because only 52 respondents were represented by that category in the sample. 

Table 1: Description of Sample

   

Women   

Men

% parents   

53.3%   

67.9%

Avg. # of children   

.664   

.860  

% Married or living in a committed relat.   

74.3%   

87.1%

Avg. Supervisor Support   

33.40   

34.61

Avg. Organizational Support   

9.83   

10.90

Avg. age   

46.6 yrs   

50.0 yrs  

% Foreign-born   

11.7%   

13.5%

% Tenured or tenure-track   

81.7%   

91.6%

% Full-time   

92.8%   

96.4%

% Research I or Doctoral instit.   

44.7%   

50.7%

% Master's degree instit.   

25.7%   

23.8%

% B.A. instit.   

19.7%   

18.0%

% Associate of Arts instit.   

9.1%   

6.5%

% Large city location   

21.7%   

21.7%

Avg. Enrollment   

12,896   

13,894

Number of respondents   

1,977   

2,966

The figures in Table 1 are not surprising.  Faculty men are over 13 percentage points more likely to be parents, and are on a per capita basis raising an average of around 30 percent more children than the faculty women in the sample.  The men also tend to be a few years older, are more likely to work at a prestigious research I and doctoral institutions, and are around 10 percentage points more likely to hold a tenured or tenure-track position.

The relatively low incidence of parenting suggests that faculty women are more likely than faculty men to engage in bias avoidance behaviors.  The lower proportion of women who are married or living in a committed relationship is consistent with this possibility.  Similarly, the lower average values on the organizational and supervisor support scales suggest that faculty women may have more reasons to engage in bias avoidance behaviors.

The gender mix by discipline is not provided in Table 1.  However, women comprised 23.7 percent of respondents in Chemistry (455/1,918), and 50.4 percent of respondents in English (1,526/3,025).  The higher than expected percentage of women responding in Chemistry may be due to a perception among some men that the survey was only about "women's issues."  The lower than expected percentage of women responding in English may reflect the relative oversampling of research I and doctoral institutions where women may continue to be underepresented, a factor that might have outweighed the tendency of women to respond more frequently than men.

Table 2 presents evidence of bias avoidance for women and men across various rankings in the simplified Carnegie categories used here.  In general, we interpret these categories as capturing more of a research focus at the research/doctoral end, and more of a teaching focus as we move towards the associate's end.  Within each category, the evidence suggests that women are more likely to engage in bias avoidance than men, both in terms of having fewer children and in perceptions of a less supportive environment and supervisor.

It is possible women in academia who wish to parent tend to avoid high-commitment research jobs.  The evidence does not fit this assertion.  Although rates of parenting rise as we move from research/doctor institutions to those providing master's degrees, rates of parenting among women fall as we move to the more teaching oriented colleges and universities offering only bachelor's degrees and to those offering only associate's degrees. Indeed, the lowest rates of parenting among women responding are for those on the faculty of institutions offering associate's degrees.  Rates of parenting among men are highest at the institutions offering bachelor's degrees.   

Note that the average responses in terms of organizational and supervisor support exhibit a different pattern.  For women, the highest perceived levels of organizational and supervisor support are found within the associate's degrees category.  For men, the highest average perceived values are where they are employed within the master's degree classification.

Although further analysis is required to understand these patterns, the evidence does not support the claim that, relative to research institutions, teaching environments are more  consistent with parenting.  What is clear is that women seem to engage in bias avoidance behaviors more frequently, and may have greater reason to do so, compared to men across all types of institutions.

Table 2: Children & Family-responsiveness by Carnegie Classification

   

Women   

Men

Research/Doctoral

Avg. # of children   

.665   

.847

Avg. Supervisor Support   

32.78   

33.96

Avg. Organizational Support   

9.41   

10.70

Master’s Degrees

Avg. # of children   

.704   

.862

Avg. Supervisor Support   

34.10   

35.35

Avg. Organizational Support   

10.10   

11.15

Bachelor’s Degrees

Avg. # of children   

.690   

.882

Avg. Supervisor Support   

33.47   

35.26

Avg. Organizational Support   

10.05   

11.13

Associate’s Degrees

Avg. # of children   

 .533   

.834

Avg. Supervisor Support   

34.35   

35.31

Avg. Organizational Support   

10.61   

10.81

We next turn to figures for bias avoidance by discipline, as shown in Table 3.  Consistent with patterns discussed earlier, within each discipline, women are raising fewer children than men and experience lower perceived levels of organizational and supervisor support. 

Comparisons across the two disciplines can help to isolate the effects of male- as opposed to female-dominated disciplines.  Separately, for men and for women, the table shows lower rates of parenting and higher rates of perceived organizational and supervisor support among English faculty.  An explanation for these apparently contradictory results will require further analysis.  Nonetheless, the large divergence in childrearing across the disciplines suggests that male-dominated disciplines are not less conducive to family formation.

Table 3: Children and Family-responsiveness by Academic Discipline

   

Women   

Men

Chemistry

Avg. # of children   

.799   

.928

Avg. Supervisor Support   

32.49   

33.95

Avg. Organizational Support   

9.78   

10.81

English

Avg. # of children   

.624   

.792

Avg. Supervisor Support   

33.67   

35.27

Avg. Organizational Support   

9.85   

10.98

Table 4 considers the relationship between bias avoidance and the tenure system.  As shown in Table 1, just over 18 percent of women and just over 8 percent of men in the sample are in non-tenured/tenure-track faculty positions.  It is possible that these individuals purposefully seek out such positions as a way to balance work and family commitments.  However, the evidence does not fit this possibility.  Although perceptions of organizational support are higher for non-tenured/tenure-track faculty, perceived supervisor support is higher among men who hold tenured or tenure-track positions as opposed to men who do not.  Further, although rates of childrearing are again consistently lower for women across the categories, both women and men (separately), engage in childrearing more frequently in tenured or tenure-track positions.  

These findings do not necessarily show that individuals cannot use non-tenure-track jobs as a device for balancing work and family commitments.  What it does suggest, strongly, is that a majority of individuals employed in these positions are not using the jobs as a way to achieve balance. It does not appear that a large number of individuals are currently seeking 'freeway flyer' status as a way to make time for their families.

Table 4: Children and Family-responsiveness by Tenure/Tenure-Track Status

   

Women   

Men

Tenured or Tenure-track

Avg. # of children   

.668   

.865

Avg. Supervisor Support   

33.22   

34.65

Avg. Organizational Support   

9.77   

10.89

Non-Tenured/Tenure-track

Avg. # of children   

.648   

.814

Avg. Supervisor Support   

34.10   

34.28

Avg. Organizational Support   

10.10   

10.92

Summary
Although we are far from providing the last word on these issues, analysis of the national survey results suggests the following answers to the four

 questions posed in the introduction.

Acknowledgements
The Principal Investigators on the Mapping Project are Robert Drago and Carol Colbeck.  The national survey was administered by Steven Maczuga at the Population Research Institute, with help from Research Assistants Michael Slade Mitchell and Amy Varner.  We thank these people, those who helped with earlier survey development, including particularly Alicia Grandey, and the many faculty who gave generously of their time to make the survey a success.  This document was written by Robert Drago and Amy Varner.

References

Bailyn, Lotte. (1993). Breaking the Mold: Women, Men, and Time in the New Corporate World. New York: Free Press.

Bond, James T., Ellen Galinsky and Jennifer E. Swanberg. (1998). The 1997 National Study of the Changing Workforce. New York: Families and Work Institute.

Drago, Robert, Ann C. Crouter, Mark Wardell, and Billie S. Willits. (2001). “Final Report for the Faculty and Families Project,” The Pennsylvania State University Work/Family Working Paper #01-02, University Park PA, March.

_______ and Joan Williams. (2000). “A Half-Time Tenure Track Proposal,” Change: The Magazine of Higher Learning 32(6), 46-51.

Friedman, Dana E., Cathy Rimsky, and Arlene Johnson. (1996). College and University Reference Guide to Work-family Programs. New York, NY: Families & Work Institute.

Thomas, L.T. and D.C. Ganster. (1995). "Impact of Family-Supportive Work Variables on Work-Family Conflict and Strain: A Control Perspective," Journal of Applied Psychology 80(1), 6-15.

Williams, Joan. (1999). Unbending Gender: Why Work and Family Conflict and What to Do About It. New York: Oxford University Press.

 

Appendix: Sample of Institutions

For the project, we used the 1994 Carnegie rankings as applied to the 2000 Carnegie list.  The reason for using the later list was to obtain a more up-to-date sample.  The reason for using the earlier rankings was to provide a finer breakdown by institutional rank, as compared to the more recent classification method.  See http://www.carnegiefoundation.org/Classification/index.htm for a discussion of changes in the classification or to download the 2000 list with the 1994 classifications included.

The basic strategy was to randomly select approximately 35 percent of the institutions within each category to include in the study.  As shown in a comparison of the first two numeric columns of Table A1 (below), we selected this percentage in most categories, including Master's Colleges and Universities, BA Colleges I and II, and Specialized Schools - Engineering and Technology.  Four exceptions to this rule were made.  First, all Research Universities were sampled, in part because these institutions are large and produce most of the Ph.D.s who go on to become faculty at other institutions.  Second, we included all institutional members of CUWFA, and all  leadership campuses from an earlier study of these issues.  This exception raised the number of Doctoral Universities included in the original sample from 39 to 40.  Third, only nine percent of Associate of Arts Colleges were included in order to prevent the very large number of such institutions from swamping the sample.  Fourth, we excluded nine categories of institutions, including eight specialized types (e.g., business or law) and tribal colleges and universities.  The only such category covering more than 70 institutions was for theological seminaries (275 institutions), a group where we believed the response rate for a survey concerning family issues would be particularly low (this suspicion was at least partly confirmed by two prospective respondents from Catholic institutions who believed the survey was inappropriate for them as nuns).  Because of concerns regarding the role of technology in the future of the society, we did however include 35 percent of the specialized schools in this area.

The right-hand column in Table A1 lists the numbers of institutions where at least one faculty member responded.  To be included in the final sample, names and email addresses of faculty in Chemistry and English had to be provided over the world-wide web to the general public.  Out of the 702 institutions originally identified, 510 provided such information.  Out of that 510, it was the case for only three institutions that no one responded.  Therefore, virtually all of the difference between the original and final samples of institutions can be accounted for by differences in the public provision of faculty information.  Looking down the column, the general pattern is one where percentages found in the final sample fall as we move from Research to Doctoral to BA and Associate of Arts Colleges.  The pattern is not completely consistent, since BA Colleges I yielded an almost nine percentage point higher figure than Master's Colleges and Universities; nonetheless, the pattern clearly exists.  We suspect, but do not attempt to prove here, that these differences reflect the greater size (e.g. economies of scale) and resources associated with institutions toward the top of the list.  If this is so, then we undoubtedly undersampled faculty at poorer institutions, a phenomenon compounded by our initial decision to sample a far lower percentage of Associate of Arts Colleges.  This undersampling implies that any attempt to project sample averages onto the general population of Chemistry and English faculty in the U.S. should employ appropriate weights.


Table A1: Sample of Institutions for the National Survey of Faculty

Classification # in 2000 Carnegie List # in Original Sample # in Final Sample(% of Original)
Research Univ.s

126

126 113 (89.7%)
Doctoral Univ.s 110 40 31 (77.5%)
Master's Colleges & Univ.s 530 184 130 (70.7%)
BA Colleges I 164 58 46 (79.3%)
BA Colleges II 468 163 103 (63.2%)
Assoc. of Arts Colleges 1353 119 77 (64.7%)
Specialized - Engin. & Techn. 35 12 7 (58.3%)
Special., Tribal & Not Classif. 1155 - -
TOTALS 3941 702 507 (72.2%)