The structure of the multidimensional scale of perceived social support: a meta-analytic confirmatory factor analysis.

One of the most popular instruments used to assess perceived social support is the Multidimensional Scale of Perceived Social Support (MSPSS). Although the original structure of the MSPSS was defined to include three specific factors (significant others, friends and family), studies in the literature propose different factor solutions. In this study, we addressed the controversial factor structure of the MSPSS using a meta-analytic confirmatory factor analysis approach.

A Bifactor-ESEM Representation of the Multidimensional Scale of Perceived Social Support.

The aim of this study is to examine the factor structure of Turkish version of the Multidimensional Scale of Perceived Social Support (MSPSS) and to analyze its psychometric properties through the bifactor-ESEM framework. Using a convenience sample of 1124 Turkish adults, seven different models were tested. The results supported the superiority of a bifactor-ESEM solution that included three specific factors (family, friends, and significant others) and a general factor.

A systematic review and meta-analytic confirmatory factor analysis of the perceived stress scale (PSS-10 and PSS-14).

Stress is defined as a person's interaction with their environment that is thought to threaten or affect an individual's potential, resources, and well-being. The most popular instrument to assess perceived stress is the Perceived Stress Scale (PSS). Therefore, making a systematic review of studies testing the internal structure of PSS and conducting a Meta-Analytic Confirmatory Factor Analysis (MACFA) on the database created with the information obtained from these studies are the aims of this research.

Using a bifactor exploratory structural equation modeling framework to examine the factor structure of the Depression Anxiety and Stress Scales-21.

This study proposed an improved representation of the DASS-21 factor structure developed by Lovibond and Lovibond in , 335-342 (1995) using bifactor exploratory structural equation modeling (bifactor ESEM). This research was conducted by reference to 521 Turkish adults (45.3% females; = 27.

Examining the Factor Structure of the Anxiety Sensitivity Index-3 in a Turkish Sample: The Factor Structure of the Anxiety Sensitivity Index-3.

The purpose of the current study was to investigate the factor structure of the Anxiety Sensitivity Index-3 (ASI-3) in a Turkey sample and to determine measurement invariance of the ASI-3 across gender and age groups. Confirmatory factor analysis was performed on four different models to determine the best fit model for the structure. After the best structure was determined, different models were tested for measurement invariance across gender and age groups.