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
Recommended Citation
Bowman, Steven R., "Does testosterone affect sexist attitudes in men? A simulated analysis" (2020). Cal Poly Humboldt theses and projects. 430.
https://digitalcommons.humboldt.edu/etd/430