Shawn Woodhouse, Ph.D.
WOODHOUSE, SUMMER, 2001
Women, therefore, are at a disadvantage and may understand
that they must promote strategies which will improve their situation such as
affirmative action.
Discrimination in admissions and faculty employment has been a problem in academia throughout this nation’s history. The Civil Rights Movement led to political and legal remedies for this problem, among them anti-discrimination provisions in admissions (Title VI) and employment (Title VII), and affirmative action (Executive Order 11246), which all provided substantial gains for underrepresented groups in higher education (Travers & Rebore, 1995).
Long known as the “marketplace of ideas,” universities have in recent
years had the reputation of providing equity for all students and faculty. Yet,
affirmative action, a primary tool by which to promote equity in higher
education, is being challenged in the courts and legislatures of states such as
California, Texas, Florida, and Washington. In addition, this study was
conducted at a time when the Missouri General Assembly was considering
legislation, similar to initiatives in other states, which would “…abolish
minority preferences in the State’s system of public employment, education, and
contracting…” (Garnier, 1998).
This study examines faculty employment data to determine what it reveals
about trends in faculty hiring based upon gender. This study also examines
faculty perceptions of the impact of affirmative action on employment practices
in the University of Missouri System.
Background
Research has shown that there is a correlation
between race, gender, and professional rank in higher education institutions.
Males, particularly white males, hold higher paying jobs at research
universities, while women are relegated to the less prestigious ranks and less
prestigious colleges (Wilson, 1995). According to Wilson, 66.5% of white males
held the majority of high-paying faculty positions as compared to 21% of women
in 1995. Conversely, at low-paying two-year colleges, 47.9% of the teachers were
women (Wilson, 1995). Longitudinal studies of women faculty representation
indicated that they obtained rank and tenure at a slower rate than their male
counterparts. In 1992, women comprised 32.5% of full-time faculty (Wilson,
1992).
Review of Literature
Summers (1995) conducted a study which
indicated that women were quite more favorable in their attitudes toward
affirmative action. In addition, men felt that they were less apt to encounter
affirmative action, and more importantly, that their careers would be negatively
affected should they encounter it, which relates to the idea of self-interest as
a variable which affects responses to affirmative action.
Self interest recurred as a variable which affects opposition to race
targeted interventions in research conducted by Stack (1997). Veilleux and
Tougas (1989) redefined self-interest as affecting one’s group rather than one’s
personal situation in assessing men’s attitudes toward affirmative action
programs. Consequently, those men who believed that men as a group would be
deprived of opportunities for hiring, promotion, and salary as a result of
affirmative action were opposed to these programs.
In addition, when men perceived that women as a group were being unfairly
treated and that their career opportunities were limited based upon sex
differences, they were favorable to programs designed to help this group.
Tougas, Beaton, and Veilleux (1991) also employed a comprehensive model of
self-interest to predicting women’s reactions to affirmative action. Results
showed that even if women recognize that their group’s situation has not
improved by past efforts, they will not approve of affirmative action unless
they feel that present organizational practices are discriminatory to women.
Research Questions
1. Are there differences between gender
groups regarding faculty perceptions of the impact of affirmative action
policies on employment practices in the University of Missouri System?
2. What do faculty data for the University of Missouri System reveal
about trends in faculty hiring based upon gender for the years 1993-97?
Method
The survey used for this study was produced as part
of a larger Public Research Institute (PRI) study for the Office of Human
Relations at San Francisco State University (SFSU) (DeLeon, Browning, &
Newton, 1996). Some questions were modified to reflect the University of
Missouri's setting and population.
Population and Sample
The University of Missouri System
manages four campuses in different regions of Missouri: University of
Missouri-Columbia (UMC), University of Missouri-Kansas City (UMKC), University
of Missouri-Rolla (UMR), and University of Missouri-St. Louis (UMSL). A random
sample of 616 tenured and tenure-track faculty members in the University of
Missouri system received a questionnaire. Stratified random sampling was
successively employed to determine the number of faculty members on each of the
four campuses to be surveyed, yielding a total of 329 (53%) on the UMC campus;
113 (18%) on the UMKC campus; 83 (13%) on the UMR campus; and 91 (15%) on the
UMSL campus. Two mailings were sent to faculty campus addresses.
There were a total of 291 respondent, 34 (14.3%) of whom were located on
the UMSL campus; 125 (52.5%) on the UMC (the flagship) campus; 45 (18.9%) on the
UMKC campus; and 34 (14.3%) on the UMR campus. There were 137 (48.2%) white
respondents and 147 (51.8%) ethnic minority respondents.
There were 205 (74.3%) males and 71 (25.7%) females. There were 101
(34.9%) full professors; 128 (44.3%) associate professors; and 60 (20.8%)
assistant professors. Of this total, 224 (77.2%) were tenured; 64 (22.1%) were
tenure-track; and 2 (0.7%) were not tenure track.
Results of Statistical Analysis
The Chi-square (X2) test of independence was employed
to test the research questions. The statistical package SAS was used to analyze
the data. Table
1 indicates that nearly 100 percent of the male and female respondents
agreed with the affirmative action policy on their campuses, but the responses
of women faculty were slightly higher. Approximately 63 percent of the male
respondents also believed that there is a scarcity of women faculty in their
fields while 65% of women faculty did not believe that women faculty are scarce
in their fields. Additionally, 62% of the male respondents did not believe that
women faculty in their fields lack the specialties needed, but the percentage
was greater (83%) for female faculty.
The majority (69%) of male respondents did not believe that minority
faculty is less qualified than white male faculty, but the percentage was even
higher for female respondents (84.51). Moreover, 68% of male faculty did not
believe that there is low motivation to hire minority faculty in their
department while women faculty was divided in their opinion on the issue.
Approximately 68% of women faculty did not believe that finding qualified
women faculty takes more time and effort than finding qualified white male
faculty, but male faculty were divided in their opinion on the issue. In
addition, approximately 77 percent of male faculty believed that their
departments had been thorough in their efforts to recruit minority faculty, but
the percentage was lower (60%) for female respondents.
Lastly, 63% of the male respondents indicated that they would not support
legislation to abolish minority preferences, but an overwhelming majority of the
women (87%) indicated that they would not support legislation to abolish
minority preferences.
Table
2 indicates that there were more newly hired White male faculty in a given
year than any minority faculty group. The data for minority faculty new hires
were very scant, with some fluctuation of 1-4 hires for individual years.
Similarly, table
3 indicates that more White female faculty were employed than any other
racial group. African American, Asian American, Hispanic, and American Indian
female faculty followed, respectively. As with male faculty, the hiring data for
all female minority faculty were extremely scant, with some fluctuation of 1-2
hires for individual years.
Discussion
This study provides strong evidence that gender
group membership is important in understanding employees’ perceptions of
affirmative action programs (Parker, Baltes, & Christiansen, 1997). Faculty
perceptions in this study may have been a function of their political ideologies
or their belief that affirmative action serves as a vehicle by which to create a
more equitable workplace for women (Parker, et al., 1997).
Ambivalence and concordance rather than opposition more accurately
characterized the difference in perceptions between gender groups in this study.
The only item on which the groups had a difference of opinion was the scarcity
of women. Both groups agreed with the system affirmative action policy and
supported minority preferences for the State’s system of public employment and
education, except the percentage was higher for women on both items. Female
faculty responses may be reflective of their belief that affirmative action
policies work more in their favor in selection decisions (Graves & Powell,
1994). Stack (1997) indicated that women are more supportive of help-oriented
programs to nurture the opportunities of the disadvantaged than men.
These differences in perceptions among gender groups may have also been
attributed to the historically conditioned perceptions that are embedded in
American society (Bax, 1996). The American workplace is structured upon the
white male system, or the “old boy” network, which thrives on power relations
(Schaef, 1992). White males compete to acquire and hold on to key positions in
order to secure their place in a system which perpetuates the employment of
those who have similar values and beliefs. Women, therefore, are at a
disadvantage and may understand that they must promote strategies which will
improve their situation such as affirmative action.
Conclusion
Researchers who have studied faculty
representation in academe have consistently indicated that the number of women
faculty has increased, but not enough to impact the disparity that currently
exists in the academic workplace. The gender groups only differed in opinion
substantially regarding the scarcity of women. Both groups agreed with the
system affirmative action policy and supported minority preferences, except the
percentages were higher for women. Female faculty responses may be reflective of
their belief that affirmative action policies work more in their favor in
selection decisions (Graves & Powell, 1994).
The conceptualization of faculty perceptions in this study may be
twofold. Faculty perceptions may imply that there has been a convergence of
ideological values underlying the political framework of the American workplace.
That is to say, faculty who agreed to participate in the study were either more
liberal or felt an obligation to conform to social standards by providing
socially desirable responses in order to dispel the implication of racial bias.
Faculty reactions to various items on the questionnaire and their divergence
from the theoretical framework of contemporary research suggests the latter
explanation.
Because affirmative action targets historically disadvantaged groups,
white males tend to be the only group that does not benefit from affirmative
action. Male responses in this study consistently contradicted the theoretical
and empirical frameworks which suggest that they generally resist affirmative
action policies. Although a substantial percentage indicated that they would
support legislation to abolish minority preferences in Missouri, the majority
indicated that they would not.
An overwhelming percentage of women faculty strongly agreed with their
campus affirmative action policies and indicated that they would not support
legislation to abolish minority preferences. This group has been historically
excluded from participation in academia as professional personnel and may not
have recognized any improvements in their social condition until affirmative
action was implemented. This could explain their overwhelming acceptance of
affirmative action.
The implications of this study challenge us to consider whether the
hegemonic ideals that once permeated the knowledge hierarchy of academia have
diverged to include the intellectual perspectives of academic professionals from
every cultural, social, and economic origin. The ideological infrastructure that
guides educational policy and constitutes the ethos of academic institutions
must incorporate diversity. Consequently, higher education can live up to the
reputation of being a “marketplace of ideas.”
Dr. Shawn Woodhouse is an Assistant Professor at the Univesity of
Missouri-St. Louis. Dr Woodhouse can be reached by e-mail at:
Shawn_Woodhouse@umsl.edu
References
Bax, P. F. (1996). Women in academia: Is affirmative action helping?
Thresholds in Education, 22(1), 19-24.
DeLeon, R., Browning, R., & Newton, J. (1996). Human relations at San Francisco State University: The faculty perspective. (Public Research Institute).
Garnier, D. (1998). SB 0681 repeals quotas and preferences by state and local governments. [on-line] Available: http://www.senate.state.mo.us/bills/SB681.html
Graves, L. M., & Powell, G. N. (1994). Effects of sex-based preferential
selection and discrimination on job attitudes. Human Relations, 47(2),
133-155.
Parker, C. P., Baltes, B. B., & Christiansen, N. D. (1997).
Support for affirmative action, justice perceptions, and work attitudes: A study
of gender and racial-ethnic group differences. Journal of Applied
Psychology, 82(3), 376-389.
Schaef, A. (1992). Women’s reality:
An emerging female system in a white male society. San Francisco: Harper
Collins Publishers.
Stack, S. (1997). Women’s opposition to
race-targeted interventions. Sex Roles, 36(9-10),
543-550.
Summers, R. J. (1995). Attitudes toward different methods of
affirmative action. Journal of Applied Social Psychology, 25(12),
1090-1104.
Tougas, F., Beaton, A. M., & Veilleux, F. (1991). Why
women approve of affirmative action: The study of a predictive model.
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(1989). Male acceptance of affirmative action programs for women: The results of
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Education, p. A19.
Table 1. Perceptions by
Gender
_______________________________________________________________________________________
GENDER |
Vairable |
Male f(%) |
Female f(%) |
x2 |
Agree |
93(45.81) 97(47.78) |
22(31.88) 46(66.67) |
|
Affirmative Action Policy Uninformed Not Very Informed Moderatley Informed Very Informed |
7(3.41) 32(15.61) 110(53.66) 56(27.32) |
3(4.23) 19(26.76) 35(49.30) 14(19.72) |
5.036 |
Affirmative Action Goals Strongly Negative Moderatly Negative Moderatley Positve Very Positive |
4(2.00) 24(12.00) 102(51.00) 70(35.00) |
1(1.52) 6(9.09) 30(45.45) 29(43.94) |
1.807 |
Affirmative Action Implementation Strongly Negative Moderately Negative Moderately Positive Very Positive |
11(5.47) 45(22.39) 117(58.21) 28(13.93) |
2(2.99) 13(19.40) 48(71.64) 4(5.97) |
4.987 |
Affirmative Action Results Strongly Negative Moderately Negative Moderately Positive Very Positive |
15(7.65) 58(29.59) 112(57.14) 11(5.61) |
6(9.23) 15(23.08) 40(61.54) 4(6.15) |
1.079 |
Scarcity-Minorities Not At All Moderately Greatly |
24(11.71) 64(31.22) 117(57.07) |
12(16.90) 19(26.76) 40(56.34) |
1.444 |
Scarcity-Women Not At All Moderately Greatly |
73(36.14) 84(41.58) 45(22.28) |
45(65.22) 18(26.09) 6(8.70) |
18.311*** |
Lack Specialties-Minorites Not At All Moderatley Greatly |
90(45.23) 54(27.14) 55(27.64) |
36(52.17) 22(31.88) 11(15.94) |
3.779 |
Lack Specialities-Women Not At All Moderately Greatly |
124(62.31) 56(28.14) 19(9.55) |
57(83.82) 11(16.18) 0(0.00) |
12.843*** |
Less Qualified-Minorities Not At All Moderately Greatly |
138(69.35) 46(23.12) 15(7.54) |
60(84.51) 10(14.08) 1(1.41) |
7.015* |
Less Qualified Women Not At All Moderatley Greatly |
171(86.80) 24(12.18) 2(1.02) |
64(91.43) 6(8.57) 0(0.00) |
1.436 |
Low Motivation to Hire-Minorites Not At All Moderatley Greatly |
137(68.16) 33(16.42) 31(15.42) |
35(49.30) 19(26.76) 17(23.94) |
8.047** |
Low Motivation to Hire-Women Not At All Moderatley Greatly |
153(76.88) 34(17.09) 12(6.03) |
49(70.00) 15(21.43) 6(8.57) |
1.363 |
Takes More Effort to
Recruit-Minorities Not At All Moderatley Greatly |
58(28.71) 72(35.64) 72(35.64) |
22(31.43) 25(35.71) 23(32.86) |
0.246 |
Takes More Effort to Recruit-Women Not At All Moderatley Greatly |
98(49.25) 71(35.68) 30(15.08) |
46(67.65) 19(27.94) 3(4.41) |
8.745** |
Lack Resources to Recruit-Minorities Not At All Moderatley Greatly |
132(65.35) 47(23.27) 23(11.39) |
42(60.87) 15(21.74) 12(17.39) |
1.649 |
Lack Resources to Recruit-Women Not At All Moderatley Greatly |
140(70.71) 44(22.22) 14(7.07) |
50(75.76) 11(16.67) 5(7.58) |
0.926 |
Recruiting Efforts-Minorities Not At All Thorough Not Very Thorough Moderately Thorough Very Thorough |
18(8.96) 28(13.93) 61(30.35) 94(46.77 |
11(16.18) 16(23.53) 22(32.35) 19(27.94) |
9.673** |
Recruiting Efforts-Women Not At All Thorough Not Very Thorough Moderately Thorough Very Thorough |
8(4.02) 20(10.05) 69(34.67) 102(51.26) |
4(5.80) 9(13.04) 21(30.43) 35(50.72) |
1.062 |
Vote-Missouri Senate Bill 681 Yes No |
70(37.23) 118(62.77) |
9(13.24) 59(86.76) |
13.480*** |
Note: *p<.05; **p<.01; ***p<.001
Table 2. Total Tenured/Tenure-Track Newly Hired Males by Campus and Race, 1993-1997
UMSL |
UMKC |
UMR |
UMC | |
White |
23 |
29 |
25 |
103 |
African American |
7 |
1 |
0 |
6 |
Hispanic |
0 |
1 |
1 |
3 |
Asian American |
2 |
7 |
6 |
12 |
American Indian |
0 |
0 |
0 |
0 |
TOTAL |
32 |
38 |
32 |
124 |
Note: UMSL = University of Missouri-St. Louis; UMKC = University of Missouri-Kansas City; UMR = University of Missouri-Rolla; UMC = University of Missouri-Columbia
Table 3. Total Tenured/Tenure-Track Newly Hired Females by Campus and Race, 1993-1997
UMSL |
UMKC |
UMR |
UMC | |
White |
21 |
28 |
11 |
63 |
African American |
3 |
1 |
0 |
5 |
Hispanic |
0 |
0 |
0 |
2 |
Asian American |
0 |
2 |
1 |
1 |
American Indian |
0 |
1 |
0 |
2 |
TOTAL |
24 |
32 |
12 |
73 |