To explore factors associated with occupational sex segregation in the United States over the past four decades, we analyzed U.S. Bureau of Labor Statistics data for the percent of women employed in 60 varied occupations from 1972 to 2010. Occupations were assessed on status, people-things orientation, and data-ideas orientation. Multilevel linear modeling (MLM) analyses showed that women increasingly entered high-status occupations from 1972 to 2010, but women's participation in things-oriented occupations (e.g., STEM fields and mechanical and construction trades) remained low and relatively stable. Occupations' data-ideas orientation was not consistently related to sex segregation. Because of women's increased participation in high-status occupations, occupational status became an increasingly weak predictor of women's participation rates in occupations, whereas occupations' people-things orientation became an increasingly strong predictor over time. These findings are discussed in relation to theories of occupational sex segregation and social policies to reduce occupational sex segregation.
The authors used a nominal response item response theory model to estimate category boundary discrimination (CBD) parameters for items drawn from the Emotional Distress item pools (Depression, Anxiety, and Anger) developed in the Patient-Reported Outcomes Measurement Information Systems (PROMIS) project. For polytomous items with ordered response categories, CBD parameters index the degree to which a particular dichotomous distinction (e.g., a response in category two vs. one) discriminates trait levels. Findings indicated that 25 of the 86 PROMIS items displayed statistically significant (p ≤ .05) within-item variation in CBD parameters as judged by a Wald test. The most common finding was that the CBD parameter for the first (never vs. rarely) and last (sometimes vs. often/always) response distinction were higher than the CBD parameters for the remaining distinction (rarely vs. sometimes). The implications of significant CBD variation for model choice, scale analysis, and for scoring individual differences are reviewed.
A psychometric analysis was conducted using the nominal response model under the item response theory framework to construct the Positive Family Relationships scale. Using data from the Fullerton Longitudinal Study, this scale was constructed within a long-term longitudinal framework spanning middle childhood through adolescence. Items tapping this construct were completed annually by mothers when children were aged 9 to 17 years. The scale measures a construct customized for each age with uniquely informative items consisting exclusively of discriminating response categories as evaluated using the nominal response model. By using longitudinal data, the study is innovative in implementing the method of test equating to a psychological construct across nine assessments spanning 8 years. Future research pertaining to validity is discussed.
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