Equity in Academic Labor Market: A Research Plan

Equity in academic labor market is a major subject of in-depth sociological research (Author and Philips, 1993). The findings of different studies indicate that a person’s progress depend dependent on factors such as gender and race (Glazer-Raymo, 2001). The purpose of this study therefore is to examine the impact of gender on teachers’ perceptions of their compensation, their level of organizational support and their opportunities for career advancement. The second task is to understand how the academic discipline affects the progress of an educator. This study will utilize personal in-home surveys as the main statistical method of data collection. Respondents shall answer questions concerning their workload, compensation, and opportunities for career advancement. The choice of this research design was due to its capability of capturing the attitudes and perceptions of the respondents. Furthermore, the design has an advantage of singling out better turnaround in data collection (Cresswell, 2003, p. 154). This study will be cross-sectional in nature since it will aim at observing a population at a given moment of time. The key benefit of this approach is its relative time-efficiency.

This study will interview approximately 100 respondents. This sample size ensures that the study contains an appropriate confidence level that increases the level of reliability of the results (Rumsey, 2010). The sample was determined on the basis of the whole population size. The respondents will be stratified into two equal groups: (a) male educators and (b) female educators. These people will represent different academic disciplines. Application of the random selection technique will reduce any chances of biasness from the participants. These people will be asked specific question about their degree of their satisfaction with compensation package, the level of organizational support, workload, and promotion opportunities. The questionnaire will be developed independently. This research has to be carried out within 20 days. Moreover, time shall be allocated for a pilot study, in the course of which a smaller number of respondents (20 people) will be surveyed. This will enable us to see whether the research design has any deficiencies.

Thus, the study will have two independent variables (gender and academic discipline) and a set of dependent ones: (a) satisfaction with compensation policies; (b) the level of organizational support; (c) workload; (d) promotion. The questionnaire will contain a set of Likert scale items that prompt a person to describe his/her attitude toward remuneration and workload in the organization, the degree to which administration supports him/her, and his/her perceptions of career opportunities.

Several statistical tests will be applied to analyze data, collected in the course of the study. First all, Cronbach’s alpha will used to measure the reliability of the scale developed for the research. This test will be conducted after the pilot study. Cronbach’s alpha focuses on the number of items within the scales and variance of scores (Lehman, 2005, p. 142). T-test will be employed to determine the relationships between the variables. Moreover, we will rely on ANOVA since it will help in the identification of type I error. In other words, this tool helps to see whether the relationships between the variables are statistically significant. While interpreting the data, we will focus primarily on the differences in the means of two samples. Furthermore, it is necessary to understand how academic disciplines influences educators’ attitude toward their job.


Author, P. and Philips, E. (1993). Women and work: inequality in the Canadian labour market. London: J. Lorimer

Creswell. J. (2003). Research design: qualitative, quantitative, and mixed method approaches. London: SAGE.

Glazer-Raymo. J. (2001). Shattering the Myths: Women in Academe. London: JHU Press.

Lehman, A. (2005). JMP for basic univariate and multivariate statistics: a step-by-step guide. New York: SAS Publishing.

Rumsey, D. (2010). Statistics Essentials for Dummies. New York: For Dummies.