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ERIC Number: ED282121
Record Type: RIE
Publication Date: 1986-Aug
Pages: 15
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: N/A
Using Multidimensional Scaling to Explore Biases in Implicit Job Theories.
McNelis, Kathleen
The mention of a job title can trigger descriptive and evaluative associations, suggesting that people possess shared job knowledge. This study focused on the concept of implicit job theory and explored the nature of implicit theories to understand the types of information people rely on when they think about jobs and the biases that might exist. Female (N=79) and male (N=21) college students completed the Job Similarity Survey which contained all possible pair comparisons between 15 job titles (accountant, radio/television announcer, bank teller, computer programmer, dental hygienist, dietician, electrician, insurance adjuster, librarian, physical therapist, prison guard, real estate agent, reporter, elementary school teacher, telephone operator). Subjects compared job pairs on a 7-point rating scale of similarities, and also completed the Job Descriptor Survey. The three types of similarity judgments examined were based on incumbent qualifications, tasks required to perform the jobs, and typical pay. The underlying dimensions used to make the global similarity estimates about job titles were recovered using multidimensional scaling. A "male-female" dimension was uniquely identified in the pay condition. People over-relied on sex composition information when making judgments about pay. These findings have implications for the domains of job evaluation and comparable worth. (Author/NB)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Note: Paper presented at the Annual Convention of the American Psychological Association (94th, Washington, DC, August 22-26, 1986).