Women in Science: Disaggregating Between- and Within-Person Effects Using a Novel Modeling Framework

Women in Science: Disaggregating Between- and Within-Person Effects Using a Novel Modeling Framework Public Deposited

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Creator

Burfeind, Chelsea
- Affiliation: College of Arts and Sciences, Department of Psychology and Neuroscience

Abstract

Extant research indicates that females are less likely than males to pursue a degree in the fields of science, technology, engineering, and math (STEM), despite equal achievement in the subjects. This project aimed to examine the longitudinal relationship between interest and achievement in math in adolescents while implementing a novel modeling framework. The residualized autoregressive latent trajectory (RALT) was implemented to completely disaggregate between-and within-person effects, and a multiple-group model was utilized to test for gender differences in the RALT parameters. Males and females were shown to differ at the between-person level, with females reporting higher levels of math achievement and lower levels of interest in math than males. Within-person effects were not shown to vary systematically by gender. This project provided a thorough analysis of a substantive topic through the use of a new modeling framework.

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