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ERIC Number: ED119078
Record Type: RIE
Publication Date: 1972
Pages: 29
Abstractor: N/A
Reference Count: 0
Alternative Strategies for Measuring Sex Discrimination in Occupations.
Staines, Graham; And Others
Using data originally report by others, this paper focuses on the relative merits of three separate statistical approaches to measuring occupational sex discrimination. The sample was a national probability sample of 539 women and 993 men. Demographic factors such as race, sex and age, education, job tenure and supervisory status served as the predictor variables; annual income objective and perceived discrimination and various measures of job satisfaction were the dependent variables. Three statistical approaches were used to analyze the data; 1) multiple regression; 2) automatic interaction detector (AID) and 3) multiple classification analysis (MCA) determining the power of sex as a predictor of income. Method two accounted for a higher percentage of the variance in income than the first approach, showing a greater occupational discrimination based on sex. The third method accounted for 47% of the variance in income, somewhat lower compared to the other two approaches. The results indicate that sex is the third most important predictor variable of income after occupation and education; moreover women were found to receive lower salaries than men for the same kind of jobs. (SE)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A