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

Journal of Sex Research
John Kitchener Sakaluk

Abstract

Sexual scientists must choose from among myriad methodological and analytical approaches when investigating their research questions. How can scholars learn whether sexualities are discrete or continuous? How is sexuality constructed? And to what extent are sexuality-related groups similar to or different from one another? Though commonplace, quantitative attempts at addressing these research questions require users to possess an increasingly deep repertoire of statistical knowledge and programming skills. Recently developed open-source software offers powerful yet accessible capacity to researchers wishing to perform strong quantitative tests. Taking advantage of these new statistical opportunities will require sexual scientists to become familiar with new analyses, including taxometric analysis, tests of measurement variability and differential item functioning, and equivalence testing. In the current article, I discuss each of these analyses, providing conceptual and historical overviews. I also address common misunderstandings for each analysis that may discourage researchers from implementing them. Finally, I describe current best practices when using each analysis, providing reproducible coding examples and interpretation...Continue Reading

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Citations

Dec 11, 2019·Journal of Sex Research·Taylor KohutNicole Prause
May 30, 2020·International Journal of Environmental Research and Public Health·Vanessa Sanchez-MendozaPablo Vallejo-Medina
Jul 7, 2020·Archives of Sexual Behavior·Nathan D LeonhardtChanae Valdez
Aug 1, 2021·Archives of Sexual Behavior·Nathan D LeonhardtFrederick O Lorenz
Oct 6, 2021·Archives of Sexual Behavior·Amy A ConroyJames Mkandawire

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Software Mentioned

dplyr
R Studio
RunTaxometrics
ARSR Stats Review .
TOSTER
Matrix
Mplus
lavaan
psych
BayesFactor

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