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- Assessment 1
- Escala de Bienestar Psicológico de Ryff 1
- Intentional Delay 1
- PANAS 1
- Procrastination 1
- Ryff’s Psychological Well-Being Scale 1
- Validity 1
- análisis factorial 1
- bienestar 1
- bifactor models 1
- complementary statistical fit indices 1
- confirmatory factor analyses 1
- factor analysis 1
- malas especificaciones 1
- misspecifications 1
- modelamiento de ecuaciones estructurales 1
- procrastinación, postergación intencional, validez, evaluación 1
- review 1
- revisión 1
- structural equation modeling 1
- validez 1
- validity 1
- well-being 1
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1
Testing misspecifications in structural equation modeling
Published 2018“…In this sense, modification indices provide useful information about additional specifications that could be done to improve model fit. …”
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2
Best Practices in the Use of Bifactor Models: Conceptual Grounds, Fit Indices and Complementary Indicators
Published 2018“…To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions.…”
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3
Review of Methodologies Used in Factorial Studies of Ryff’s Psychological Wellbeing Scales (Spanish Version)
Published 2018“…A direct search of digital databases for instrumental studies that analyze the PWBS-E identified nine papers providing relevant information. As for studies using confirmatory factor analysis, differences regarding software and estimation methods were observed, but the majority of them does not indicate which type of correlation matrix was used. …”
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4
Psychometric analysis of a purposeful delay scale in Peruvian college students
Published 2022“…Furthermore, the bivariate association between the dimensions of the construct and the measures of academic burnout, depression and anxiety was significant (r> .20), although a subsequent hierarchical regression indicated that it only provides a significant variation to academic burnout (ΔR2> .10). …”
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