Using Exploratory Factor Analysis for Locating Invariant Referents in Factor Invariance Studies

Using Exploratory Factor Analysis for Locating Invariant Referents in Factor Invariance Studies

On The Factor Structure invariance of the PhD UEE Using Multigroup Confirmatory Factor Analysis

The aim of the current study was twofold: (1) to validate the internal structure of the general English (GE) section of the university entrance examination for Ph.D applicants into the English programs at state universities in Iran (Ph.D. UEE), and (2) to examine the factor structure invariance of the Ph.D. UEE across two proficiency levels. Structural equation modeling (SEM) was used to analyz...

Studying Measurement Invariance Using Confirmatory Factor Analysis

For any such use of scale scores, there is a critical assumption that the scale is measuring the same trait in all of the groups. If that assumption holds, then comparisons and analyses of those scores are acceptable and yield meaningful interpretations. But if that assumption is not true, then such comparisons and analyses do not yield meaningful results. This is the general issue of (MI). mea...

Exploratory factor analysis in validation studies: uses and recommendations.

BACKGROUND The Exploratory Factor Analysis (EFA) procedure is one of the most commonly used in social and behavioral sciences. However, it is also one of the most criticized due to the poor management researchers usually display. The main goal is to examine the relationship between practices usually considered more appropriate and actual decisions made by researchers. METHOD The use of explor...

Sparse Exploratory Factor Analysis.

Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortuna...