Dichotomy of Perception: An Analysis of Faculty Perspectives on Affirmative Action in the University of Missouri System

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.



Introduction

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.
International Journal of Psychology, 26(6), 761-776.

Travers, P. D., & Rebore, R. W. (1995). Foundations of education: Becoming a teacher. (4th ed.) Massachusetts: Allyn and Bacon.

University Office of Human Relations. (1996, Fall). Human relations at San Francisco State University: The faculty perspective. San Francisco: San Francisco State University Public Research Institute.

Veilleux, F., & Tougas, F. (1989). Male acceptance of affirmative action programs for women: The results of altruistic or egotistical motives. International Journal of Psychology, 24, 485-496.

Wilson, J. K. (1995-96). The myth of reverse discrimination in higher education. The Journal of Blacks in Higher Education, 10, 88-93.

Wilson, R. (1992, May 13). Education department study of faculty members finds most have full-time appointments. The Chronicle of Higher Education, p. A19.

 

 

Table 1. Perceptions by Gender
_______________________________________________________________________________________

GENDER                                                     
Vairable
Male
f(%)
Female
f(%)
x2

Agree
Strongly 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

Note: UMSL = University of Missouri-St. Louis; UMKC = University of Missouri-Kansas City; UMR = University of Missouri-Rolla; UMC = University of Missouri-Columbia