Sentences with word «bifactor»

A confirmatory bifactor analysis of the hospital anxiety and depression scale in an Italian community sample.

We contribute to the literature on the relations of temperament to externalizing and internalizing problems by considering parental emotional expressivity and child gender as moderators of such relations and examining prediction of pure and co-occurring problem behaviors during early to middle adolescence using bifactor models (which provide unique and continuous factors for pure and co-occurring internalizing and externalizing problems).

Besides that, the inspection of model's parameters lead us to conclude that in our community sample, as in similar studies testing bifactor models and involving both clinical and community participants, all HADS items, except item # 14, loaded more highly on the general factor than on each specific group factor.

Future research could also evaluate new confirmatory factor analysis techniques like Bifactor ESEM.

Therefore, unidimensionality based only on bifactor analysis is often questionable (Joshanloo et al., 2017; Joshanloo & Jovanovic, 2016).

Given the complexities of research in real - world settings, this routinely involves innovative research designs (e.g., cluster - randomization, multi-phase and piecewise designs, multiple baseline and dynamic wait - list designs), modern measurement methods (e.g., Rasch, IRT, bifactor measurement models), and advanced statistical models for longitudinal and nested data (e.g., mixed - effect regression models, SEM - based models).

Alternative statistics for evaluating bifactor models were used in the current study.

The hospital anxiety and depression scale bifactor structure.

A variation of this model was also tested by adding a covariance between items 2 and 3 and a covariance between items 7 and 8; 3) a CFA bifactor model (Schmid & Leiman, 1957, c.f. Reise, 2012), with presence and search in two factors and simultaneously tapping a general factor of life meaning, according to Reise et al. (2007), as quoted in Hammer & Toland, 2016).

Consequently, two competing optimal models emerged: 1) the two - factor bifactor with covariances model, and 2) the two - factor ESEM with covariances model (see all fit statistics in Table 3 and Figure 1 for path diagram).

This study evaluates a model for considering domain - general and domain - specific associations between teacher - child interactions and children's development, using a bifactor analytic strategy.

The purpose of this study was to evaluate the following: 1) the construct validity of the Meaning in Life Questionnaire (Steger et al., 2006), Greek Version using different explorative and confirmative factorial analysis approaches like Bifactor EFA, ICM - CFA, Bifactor CFA and ESEM; 2) the measurement invariance of MLQ across gender; 3) the internal consistency reliability of the MLQ; and 4) the convergent and discriminant validity of the MLQ with measures of well - being and mental distress.

However, Bifactor models always tend to support unidimensionality (Joshanloo, Jose, & Kielpikowski, 2017).

Two - factor ESEM representation was notably better than the ICM - CFA models and marginally better than the bifactor model.

However, bifactor analysis has received some criticism (Reise et al., 2013; Reise, 2012; Joshanloo et al., 2017).

However, like ICM - CFA methods, Bifactor analysis ignores cross-loadings therefore resulting in a general factor with an overestimated variance (Morin et al., 2016a).

TITLE: Using Bifactor EFA, Bifactor CFA and Exploratory Structural Equation Modeling to Validate Factor Structure of the Meaning in Life Questionnaire, Greek Version

KEYWORDS: MLQ Factor Structure, ESEM, ICM - CFA, Bifactor EFA, Bifactor CFA, Measurement Invariance, Greece

Using Bifactor EFA, Bifactor CFA and Exploratory Structural Equation Modeling to Validate Factor Structure of the Meaning in Life Questionnaire, Greek Version