Expanding Statistical Frontiers in Sexual Science: Taxometric, Invariance, and Equivalence Testing

Area of Science:

• Sexual science research methodology
• Quantitative analysis in social sciences
• Statistical modeling for sexuality studies

Background:

• Investigating complex questions in sexual science requires sophisticated statistical approaches.
• Traditional quantitative methods demand extensive statistical knowledge and programming skills.
• Accessibility to advanced analytical tools has been a barrier for many sexuality researchers.

Purpose of the Study:

• To introduce sexual scientists to powerful, accessible quantitative analyses available through open-source software.
• To reduce barriers to implementing advanced statistical methods in sexuality research.
• To equip researchers with tools to test substantive theories about sexuality more rigorously.

Main Methods:

• Discussion of taxometric analysis for understanding discrete vs. continuous sexualities.
• Explanation of measurement variability and differential item functioning tests.
• Overview of equivalence testing for comparing sexuality-related groups.

Main Results:

• Open-source software provides powerful yet accessible capacity for advanced quantitative tests.
• New analyses like taxometric analysis, measurement variability, differential item functioning, and equivalence testing are detailed.
• Conceptual overviews, historical context, common misunderstandings, and best practices with reproducible coding examples are provided.

Conclusions:

• Sexual scientists can leverage new statistical opportunities to conduct stronger quantitative tests.
• Familiarity with these advanced analyses will enhance the ability to test substantive theories in sexual science.
• Adoption of these methods will advance the field by improving the rigor of sexuality research.