Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis
Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and
structural equation modeling (SEM) have long histories in clinical research. Although CFA …
structural equation modeling (SEM) have long histories in clinical research. Although CFA …
[HTML][HTML] Development of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies.
U Orth, RY Erol, EC Luciano - Psychological bulletin, 2018 - psycnet.apa.org
To investigate the normative trajectory of self-esteem across the life span, this meta-analysis
synthesizes the available longitudinal data on mean-level change in self-esteem. The …
synthesizes the available longitudinal data on mean-level change in self-esteem. The …
Bayesian structural equation modeling: a more flexible representation of substantive theory.
This article proposes a new approach to factor analysis and structural equation modeling
using Bayesian analysis. The new approach replaces parameter specifications of exact …
using Bayesian analysis. The new approach replaces parameter specifications of exact …
A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality
This study illustrates an overarching psychometric approach of broad relevance to
investigations of 2 sources of construct-relevant psychometric multidimensionality present in …
investigations of 2 sources of construct-relevant psychometric multidimensionality present in …
Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM), and bifactor‐ESEM
This chapter focuses on Exploratory Structural Equation Modeling (ESEM), incorporating
bifactor‐ESEM, which represent an overarching data analytic framework in which classical …
bifactor‐ESEM, which represent an overarching data analytic framework in which classical …
Passion: Does one scale fit all? Construct validity of two-factor passion scale and psychometric invariance over different activities and languages.
Abstract The Passion Scale, based on the dualistic model of passion, measures 2 distinct
types of passion: Harmonious and obsessive passions are predictive of adaptive and less …
types of passion: Harmonious and obsessive passions are predictive of adaptive and less …
Short assessment of the Big Five: Robust across survey methods except telephone interviewing
We examined measurement invariance and age-related robustness of a short 15-item Big
Five Inventory (BFI–S) of personality dimensions, which is well suited for applications in …
Five Inventory (BFI–S) of personality dimensions, which is well suited for applications in …
Development and initial validation of the Life Skills Scale for Sport
Objectives The aim of this research was to develop a measure of life skills development
through sport. Method Four studies were conducted to develop the Life Skills Scale for Sport …
through sport. Method Four studies were conducted to develop the Life Skills Scale for Sport …
Supporting students' motivation for e-learning: Teachers matter on and offline
In e-learning environments that are characterized by minimal peer and teacher regulation,
motivation is particularly critical but poorly understood. Students' prior experience with …
motivation is particularly critical but poorly understood. Students' prior experience with …
What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups.
Scalar invariance is an unachievable ideal that in practice can only be approximated; often
using potentially questionable approaches such as partial invariance based on a stepwise …
using potentially questionable approaches such as partial invariance based on a stepwise …