Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and structural equation modeling (SEM) have long histories in clinical research. Although CFA has largely superseded EFA, CFAs of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differe...

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of abbreviated math anxiety scale (amas), proposed by hopko, mahadevan, bare & hunt. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. the confirmatory factor analysis (cfa) was carrie...

Factor structures obtained by exploratory factor analysis (EFA) often turn out to fit poorly in confirmative follow-up studies. In the present study, the authors assessed the extent to which results obtained in EFA studies can be replicated by confirmatory factor analysis (CFA) in the same sample. More specifically, the authors used CFA to test three different factor models on several correlati...

Combining items into parcels in confirmatory factor analysis (CFA) can improve model estimation and fit. Because adequate model fit is imperative for CFA tests of measurement invariance, parcels have frequently been used. However, the use of parcels as indicators in a CFA model can have detrimental effects on tests of measurement invariance of factor loadings. Using simulated data with a known ...

An exploratory factor analysis and several confirmatory analyses were performed to evaluate the factorial structure of the Revised Mathematics Anxiety Rating Scale (RMARS) through the responses of 805 college students. On 559 students’ scores, the instrument’s construct validity was tested through a confirmatory factor analysis (CFA) and was found to be inadequate. An exploratory factor analysi...