Graduation Date

Fall 2020

Document Type

Thesis

Program

Master of Arts degree with a major in Psychology, option Academic Research

Committee Chair Name

Amanda Hahn

Committee Chair Affiliation

HSU Faculty or Staff

Second Committee Member Name

Amber Gaffney

Second Committee Member Affiliation

HSU Faculty or Staff

Third Committee Member Name

Ethan Gahtan

Third Committee Member Affiliation

HSU Faculty or Staff

Keywords

Testotserone, Sexism, Data simulation

Subject Categories

Psychology

Abstract

Sexism continues to negatively affect the lives of women across many cultures and modern societies. Although sexism has a damaging effect on people overall, women are disproportionately affected. Previous research on the topic generally explores attitudes, culture, socioeconomic status, sexual and violent crime census data, and developmental factors, but there is a lack of research investigating potential links among biological factors, such as hormone levels, and sexist attitudes. The present study used simulated data to simulate a study investigating the relationship between endogenous testosterone, cognitive aggression, and sexist attitudes. Using the faux, pwr2ppl, and ProcessR packages in R Studio open-source statistical software, I utilized means and standard deviations from current literature to simulate and analyze computer generated data for ambivalent sexism, aggression, and endogenous testosterone. A simulated analysis was employed here because the COVID-19 pandemic rendered data collection impossible. Although it is not possible to draw conclusions about any actual relationship among these variables without actual data, this paper demonstrates how performing simulated analyses can be a useful tool in teaching, preliminary research, and conserving time and financial resources. The findings also highlight the relevance and importance of investigating the relationship between endogenous testosterone and sexism.

Citation Style

APA

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