scholarly journals Review of the Internal Structure, Psychometric Properties, and Measurement Invariance of the Work-Related Rumination Scale – Spanish Version

2021 ◽  
Vol 12 ◽  
Author(s):  
Ernesto Rosario-Hernández ◽  
Lillian V. Rovira-Millán ◽  
César Merino-Soto
Keyword(s):  
Health Psychology ◽  
Occupational Health ◽  
Psychometric Properties ◽  
Internal Structure ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Spanish Version ◽  
Equation Modeling ◽  
Occupational Health Psychology ◽  
Work Related

Background: The aim of the current study was to examine the internal structure and assess the psychometric properties of the Work-Related Rumination Scale (WRRS) – Spanish version in a Puerto Rican sample of workers. This instrument is a 15-item questionnaire, which has three factors, affective rumination, problem-solving pondering, and detachment. This measure is used in the occupational health psychology context; however, there is little evidence of its psychometric properties.Materials and Methods: A total sample of 4,100 from five different study samples was used in this cross-sectional study design in which the WRRS was used. We conducted confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to examine the internal structure of the Work-Related Rumination Scale. Measurement invariance across sex and age was examined.Results: The three-factor model was supported; however, four items were eliminated due to their cross-loadings and factorial complexity. This 11-item Spanish version of the WRRS was invariant across sex and age. Reliability of the three-factors of WRRS were within the range of 0.74 to 0.87 using Cronbach’s alpha and McDonald’s omega. Correlations between the three factors were as expected as well as with other established measures.Conclusion: The results suggest that the WRRS-Spanish version appears to be a reliable and valid instrument to measure work-related rumination using its three factors. Comparison across sex and age appear to be useful in occupational health psychology research setting since results suggest that the WRRS is invariant regarding those variables.

Testing Measurement Invariance Across Spanish and English Versions of the Physical Self-Description Questionnaire: An Application of Exploratory Structural Equation Modeling

2014 ◽  
Vol 36 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Inés Tomás ◽  
Herbert W. Marsh ◽  
Vicente González-Romá ◽  
Víctor Valls ◽  
Benjamin Nagengast
Keyword(s):  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Cross Cultural ◽  
Spanish Version ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Alternative Approach ◽  
Cultural Comparisons ◽  
Sport And Exercise

Test of measurement invariance across translated versions of questionnaires is a critical prerequisite to comparing scores on the different versions. In this study, we used exploratory structural equation modeling (ESEM) as an alternative approach to evaluate the measurement invariance of the Spanish version of the Physical Self-Description Questionnaire (PSDQ). The two versions were administered to large samples of Australian and Spanish adolescents. First, we compared the CFA and ESEM approaches and showed that ESEM fitted the data much better and resulted in substantially more differentiated factors. We then tested measurement invariance with a 13-model ESEM taxonomy. Results justified using the Spanish version of the PSDQ to carry out cross-cultural comparisons in sport and exercise psychology research. Overall, the study can stimulate research on physical self-concept across countries and foster better cross-cultural comparisons.

Investigating the Multidimensionality and Psychometric Properties of the Children’s Anger Rumination Scale (CARS): A Bifactor Exploratory Structural Equation Modeling Framework

Assessment ◽  
2021 ◽  
pp. 107319112110435
Author(s):  
Elli Spyropoulou ◽  
Theodoros Giovazolias
Keyword(s):  
Psychometric Properties ◽  
Measurement Invariance ◽  
Psychosocial Functioning ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Equation Modeling ◽  
Factorial Structure ◽  
Modeling Framework ◽  
Convenience Sample ◽  
Anger Rumination

Anger Rumination (AR) represents a maladaptive cognitive process that contributes negatively to psychosocial functioning. The purpose of the present study was to investigate the psychometric properties (e.g., factorial structure, measurement invariance, and reliability) of the Children’s Anger Rumination Scale (CARS). Factorial structure was tested by contrasting alternative model representations of the instrument (one- and four-factor independent cluster models–confirmatory factor analysis [ICM-CFA], exploratory structural equation modelling [ESEM], bifactor-CFA and bifactor-ESEM) in a convenience sample of 552 Greek students ( Mage = 11.50 years; 53.6% girls). The hypothesized bifactor-ESEM solution, composed by a general anger rumination factor and four specific factors (Angry Afterthoughts, Thoughts of Revenge, Angry Memories, and Understanding of Causes) provided the best fit to the data and revealed the unitary dimensionality of the CARS. Measurement invariance across gender and age in level of the latent means indicated no significant differences in relation to AR tendency. The CARS showed internal consistency, one-month test–retest reliability as well as desirable patterns of convergent and discriminant validity. The predictive power of the instrument was also supported as participants’ AR propensity was found to explain both depressive symptoms and bullying behaviors. Overall, our findings indicate that the CARS is a developmentally appropriate and psychometrically sound instrument that conceptualizes AR as an unidimensional construct among children and preadolescents.

Psychometric properties of the Beck Anxiety Inventory and Snaith-Hamilton Pleasure Scale in Spanish-speaking countries during the COVID-19 pandemic

2021 ◽  
Author(s):  
Gabriel Alonso González-Medina ◽  
Kyle M. Lang ◽  
Israel Rios-Castillo ◽  
Leslie Landaeta Diaz
Keyword(s):  
Psychometric Properties ◽  
Measurement Invariance ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Psychological Research ◽  
Equation Modeling ◽  
Beck Anxiety Inventory ◽  
Spanish Speaking ◽  
Psychometric Studies

Psychometric studies are needed to decide the most suitable instrument in psychological research. Whereas Beck Depression Inventory has more psychometrics studies in Spanish-speaking countries, Beck Anxiety Inventory has less evidence. Additionally, anhedonia is a crucial construct to understand the relationship between depression and anxiety and their outcomes. However, there a scarce psychometric studies in anhedonia measures in non-English languages. Therefore, the first objective was to describe the Beck Anxiety Inventory and Snaith-Hamilton Pleasure Scale (SHAPS) psychometric properties. The second objective was to evaluate the measurement invariance of two psychometric scales, the Beck Anxiety Inventory (BAI) and the Snaith-Hamilton Pleasure Scale (SHAPS), in 12 Spanish-speaking countries. The first included 1287 participants over 18 years of age from Chile. The second with a sample of 9954 participants from 12 Spanish-speaking countries. We analyze the construct, convergent, concurrent, and discriminant validities using confirmatory factor analysis and structural equation modeling. This study showed good internal consistency for both scales. First, we provided evidence for construct validity, convergent validity, concurrent validity, and discriminant validity in a Chilean sample. Secondly, we established measurement invariance between Chile and those other 11 countries. This study represents the most thorough psychometric analysis of the BAI and SHAPS in the context of which we are aware.

Psychometric Properties of the Body Checking Questionnaire (BCQ) and of the Body Checking Cognitions Scale (BCCS): A Bifactor-Exploratory Structural Equation Modeling Approach

Assessment ◽  
2019 ◽  
pp. 107319111985841
Author(s):  
Christophe Maïano ◽  
Alexandre J. S. Morin ◽  
Annie Aimé ◽  
Geneviève Lepage ◽  
Stéphane Bouchard
Keyword(s):  
Structural Equation Modeling ◽  
Psychometric Properties ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Eating Attitudes ◽  
The Body ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Body Checking ◽  
Two Measures

This research sought to assess the psychometric properties of the French versions of the Body Checking Questionnaire and the Body Checking Cognitions Scale among community samples. A total sample of 922 adolescents and adults was involved in a series of two studies. The results from the first study supported factor validity and reliability of responses obtained on these two measures, and showed that both measures were best represented by a bifactor-exploratory structural equation modeling representation of the data. The results from the second study replicated these conclusions, while also supporting the measurement invariance of the bifactor-exploratory structural equation modeling solution and the equivalence of the correlations among the two measures (i.e., convergent validity) across samples. This second study also supported the criterion-related validity of ratings on both measures with measures of global self-esteem, physical appearance, social physique anxiety, fear of negative appearance evaluation, and disturbed eating attitudes and behaviors. Finally, the results of this last study also supported the measurement invariance and lack of differential item functioning of both measures in relation to sex, age, diagnosis of eating disorders, and body mass index.

Validating the Factor Structure of the Stigma of Suicide Scale–Short Form Spanish Version Among Healthcare Students

Crisis ◽  
2020 ◽  
pp. 1-5
Author(s):  
Ruthmarie Hernández-Torres ◽  
Paola Carminelli-Corretjer ◽  
Nelmit Tollinchi-Natali ◽  
Ernesto Rosario-Hernández ◽  
Yovanska Duarté-Vélez ◽  
...  
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Short Form ◽  
Small Sample Size ◽  
Small Sample ◽  
Spanish Version ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Healthcare Students ◽  
Spanish Speaking

Abstract. Background: Suicide is a leading cause of death among Spanish-speaking individuals. Suicide stigma can be a risk factor for suicide. A widely used measure is the Stigma of Suicide Scale-Short Form (SOSS-SF; Batterham, Calear, & Christensen, 2013 ). Although the SOSS-SF has established psychometric properties and factor structure in other languages and cultural contexts, no evidence is available from Spanish-speaking populations. Aim: This study aims to validate a Spanish translation of the SOSS-SF among a sample of Spanish-speaking healthcare students ( N = 277). Method: We implemented a cross-sectional design with quantitative techniques. Results: Following a structural equation modeling approach, a confirmatory factor analysis (CFA) supported the three-factor model proposed by Batterham and colleagues (2013) . Limitations: The study was limited by the small sample size and recruitment by availability. Conclusion: Findings suggest that the Spanish version of the SOSS-SF is a valid and reliable tool with which to examine suicide stigma among Spanish-speaking populations.

Analyzing Observed Composite Differences Across Groups

Methodology ◽  
2013 ◽  
Vol 9 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Holger Steinmetz
Keyword(s):  
Monte Carlo ◽  
Structural Equation Modeling ◽  
Measurement Invariance ◽  
Structural Equation ◽  
Monte Carlo Study ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Latent Mean Differences ◽  
Partial Invariance ◽  
Mean Differences

Although the use of structural equation modeling has increased during the last decades, the typical procedure to investigate mean differences across groups is still to create an observed composite score from several indicators and to compare the composite’s mean across the groups. Whereas the structural equation modeling literature has emphasized that a comparison of latent means presupposes equal factor loadings and indicator intercepts for most of the indicators (i.e., partial invariance), it is still unknown if partial invariance is sufficient when relying on observed composites. This Monte-Carlo study investigated whether one or two unequal factor loadings and indicator intercepts in a composite can lead to wrong conclusions regarding latent mean differences. Results show that unequal indicator intercepts substantially affect the composite mean difference and the probability of a significant composite difference. In contrast, unequal factor loadings demonstrate only small effects. It is concluded that analyses of composite differences are only warranted in conditions of full measurement invariance, and the author recommends the analyses of latent mean differences with structural equation modeling instead.

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