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Articles 1 - 3 of 3
Full-Text Articles in Quantitative Psychology
Predictors Of Female Sexual Dysfunction, Julie M. Merrell
Predictors Of Female Sexual Dysfunction, Julie M. Merrell
Loma Linda University Electronic Theses, Dissertations & Projects
Tiefer, Hall, and Tavris (2002) described factors comprising four categories of female sexual dysfunction. They suggested that unique factors need to be examined to understand sexual dysfunction in women. Socio-cultural, political, or economic factors, partner and relationship factors, psychological factors, and medical factors described as aspects of women’s lives that can be the source of sexual dysfunction. The current study examined indicators of the above factors-body shame, relationship satisfaction, sexual self-schema, positive and negative affect, and overall health-as predictors of female sexual dysfunction. The hypotheses were: Body shame and negative affect will be negatively associated with sexual function; and relationship …
Multilevel Methods: Emergent Issues And Future Directions In Measurement, Longitudinal Analyses And Non-Normal Outcomes, Paul D. Bliese, David Chan, Robert E. Ployhart
Multilevel Methods: Emergent Issues And Future Directions In Measurement, Longitudinal Analyses And Non-Normal Outcomes, Paul D. Bliese, David Chan, Robert E. Ployhart
Research Collection School of Social Sciences
The study of multilevel phenomena in organizations involves a complex interplay between methods and statistics on one hand and theory development on the other. In this introduction, the authors provide a short summary of the five articles in this feature topic and use them as a platform to discuss the broad need for work in the two areas of (a) multilevel construct validation and measurement and (b) statistical advances in variance decomposition. Within these two broad frameworks, the authors specifically discuss, first, the need to continue moving beyond notions of isomorphism in developing and testing aggregate-level constructs. Second, they discuss …
Methods Of Detecting Differential Item Functioning: A Comparison Of Confirmatory Factor Analysis Methods, Jenny Chia Yi Kuang
Methods Of Detecting Differential Item Functioning: A Comparison Of Confirmatory Factor Analysis Methods, Jenny Chia Yi Kuang
Psychology Theses & Dissertations
The present Monte Carlo study compared four confirmatory factor analysis (CFA) methods for detecting differential item functioning (DIF). The four methods were the noniterative and iterative mean and covariance structure analysis (MACS) methods, the modification index (MI) method, and the modification index-divided sample (MI-divided) method. Reference and focal groups responded to 12 items with 3 of the 12 items designed to exhibit DIF. Sample sizes of 250 and 500 were examined. In addition, three types of DIF were examined: DIF on loadings, DIF on thresholds, and DIF on both loadings and thresholds. Results indicated that for sample size 250, all …