Analyzing Associations Between Anxiety and Premature Ejaculation Using Longitudinal Data and Structural Equation Modeling

D2 Article in a professional book


Internal Authors/Editors


Publication Details

List of Authors: Daniel Ventus
Publisher: Sage
Publication year: 2018
Journal: Sage Research Methods Cases
Book title: Sage Research Methods Cases
Title of series: SAGE Research Methods Cases in Sociology
Volume number: Part 2


Abstract

As part of my PhD research project, I was interested in what causes
premature ejaculation. This case study presents analyses on possible
causal associations between premature ejaculation and anxiety, as well
as sexual distress and depression. The statistical method, structural
equation modeling, is introduced and applied, as is the concept of
latent variables. The results showed no long-term associations between
the study variables, and possible interpretations of this result are
presented. Pros and cons of using a previously collected data set are
discussed.


Last updated on 2020-30-05 at 05:20