scholarly journals A New Story on the Multidimensionality of the MSPSS: Validity of the Internal Structure through Bifactor ESEM

2022 ◽  
Vol 19 (2) ◽  
pp. 935
Author(s):  
César Merino-Soto ◽  
Alicia Boluarte Carbajal ◽  
Filiberto Toledano-Toledano ◽  
Laura A. Nabors ◽  
Miguel Ángel Núñez-Benítez
Keyword(s):  
Internal Structure ◽  
Structural Equation ◽  
Perceived Social Support ◽  
Educational Institution ◽  
Detailed Examination ◽  
Equation Modeling ◽  
General Factor ◽  
Confirmatory Factor ◽  
Bifactor Models ◽  
Correlated Factors

The internal structure of the Multidimensional Scale of Perceived Social Support (MSPSS) in adolescents has been evaluated with some factorial analysis methodologies but not with bifactor exploratory structural equation modeling (ESEM), and possibly the inconsistency in the internal structure was dependent on these approaches. The objective of the study was to update evidence regarding its internal structure of MSPSS, by means of a detailed examination of its multidimensionality The participants were 460 adolescents from an educational institution in the Callao region, Lima, Peru. The structure was modeled using unidimensional, three-factor and bifactor models with confirmatory factor analysis (CFA) and ESEM approaches. The models showed good levels of fit, with the exception of the unidimensional model; however, the multidimensionality indicators supported the superiority of the bifactor ESEM. In contrast, the general factor was not strong enough, and the interfactorial correlations were substantially lower. It is concluded that the MSPSS can be interpreted by independent but moderately correlated factors, and there is possible systematic variance that potentially prevented the identification of a general factor.

scholarly journals Dimensionality of the Wisconsin Schizotypy Scales-Brief Forms in College Students

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Eduardo Fonseca-Pedrero ◽  
Mercedes Paino ◽  
Javier Ortuño-Sierra ◽  
Serafín Lemos-Giráldez ◽  
José Muñiz
Keyword(s):  
College Students ◽  
Internal Structure ◽  
Structural Equation ◽  
Equation Modeling ◽  
Measuring Instruments ◽  
Magical Ideation ◽  
Final Sample ◽  
Confirmatory Factor ◽  
Physical Anhedonia ◽  
Wisconsin Schizotypy Scales

Wisconsin Schizotypy Scales are one of the most used measuring instruments for the assessment of psychometric risk for psychosis. The main goal of the present study was to analyze the internal structure of the Wisconsin Schizotypy Scales-Brief (WSS-B) forms and the reliability of the scores in a large sample of college students. The final sample was comprised by a total of 1349 students, 288 males, with a mean age of 20.48 years (SD = 2.58). The results indicated that the WSS-B scores presented adequate psychometric properties. Cronbach’s alfa coefficient for total scores in WSS-B ranged from 0.86 to 0.93. Analysis of the internal structure of the WSS-B, through confirmatory factor analysis and exploratory structural equation modeling, yielded a four factor solution (Magical Ideation, Perceptual Aberration, Social Anhedonia, and Physical Anhedonia) as the most adequate. Statistically significant differences in mean scores of WSS-B by sex were found. These results provided new validity evidence of the WSS-B scores in an independent sample of nonclinical young adults. The WSS-B seems to be useful, brief, and easy to administrate for the screening of extended psychosis phenotype in the general population.

An SEM Assessment of the Internal Structure and Predictive Validity of the Abbreviated Early Adolescent HOME Inventory

Assessment ◽  
2018 ◽  
Vol 27 (6) ◽  
pp. 1285-1299
Author(s):  
Samuel B. Green ◽  
Amy L. Pennar ◽  
Robert H. Bradley
Keyword(s):  
Internal Structure ◽  
Youth Development ◽  
Structural Equation ◽  
Self Control ◽  
Early Adolescent ◽  
Equation Modeling ◽  
General Factor ◽  
Maladaptive Behaviors ◽  
Early Child Care ◽  
Content Domain

The Home Observation for Measurement of the Environment (HOME) Inventory is designed to assess the quality and quantity of support, stimulation, and structure provided to children in the home environment. HOME has been widely used for research and applied purposes. We focused on an abbreviated version of the Early Adolescent HOME (EA-HOME-A) that was administered to 15-year-old adolescents and their parents ( N = 958) as part of the NICHD (National Institute of Child Health and Human Development) Study of Early Child Care and Youth Development. Our study had two objectives. First, we hypothesized and tested a bifactor model that specified a general factor in support of the use of the HOME total score and group factors for subsets of items in support of the content domain scores. Second, we applied structural equation modeling to relate the EA-HOME-A factors to outcome factors assessing maladaptive behaviors, autonomy, self-control, and cognitive–academic performance. The results supported the construct validity of the EA-HOME-A with respect to its internal structure as well as its correlates.

The General Factor of Well-Being: Multinational Evidence Using Bifactor ESEM on the Mental Health Continuum–Short Form

Assessment ◽  
2017 ◽  
Vol 27 (3) ◽  
pp. 596-606 ◽  
Author(s):  
Ylenio Longo ◽  
Veljko Jovanović ◽  
Joana Sampaio de Carvalho ◽  
Dominika Karaś
Keyword(s):  
Mental Health ◽  
Structural Equation ◽  
Short Form ◽  
Well Being ◽  
Total Sample ◽  
Equation Modeling ◽  
General Factor ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Competing Models

The Mental Health Continuum–Short Form (MHC-SF) is a widely used scale aimed at assessing three components of well-being: emotional, social, and psychological. The factor structure of the MHC-SF has been under debate over the past 10 years. The main goal of the present study was to examine the dimensionality of the MHC-SF. Confirmatory factor analyses (CFA), bifactor CFA, exploratory structural equation modeling (ESEM), and bifactor ESEM were used to evaluate competing models of the MHC-SF structure. The total sample consisted of 7,521 participants from four countries: The Netherlands, Poland, Portugal, and Serbia. The results indicated that the three CFA factors were very highly related, and that a bifactor ESEM model provided the best fit to the data in all samples. Our findings provided support for the bifactor structure of well-being with a strong general factor explaining most of the variance in the items.

Factor Structure of the Dyadic Adjustment Scale

2019 ◽  
Vol 35 (3) ◽  
pp. 326-334 ◽  
Author(s):  
Dóra Vajda ◽  
Barna Konkolÿ Thege ◽  
Sándor Rózsa
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Dyadic Adjustment ◽  
Equation Modeling ◽  
General Factor ◽  
Dyadic Adjustment Scale ◽  
Confirmatory Factor ◽  
Dyadic Satisfaction ◽  
The Individual ◽  
Relationship Of

Abstract. The Dyadic Adjustment Scale (DAS) is one of the most widely used instruments for measuring relationship quality. Considering the discrepancies across studies regarding the relationship of the underlying constructs of the DAS, the aim of the present study was to examine the factor structure of the scale by applying bifactor models using confirmatory factor analytic (CFA) and exploratory structural equation modeling (ESEM) approaches. The sample consisted of 483 couples recruited in Hungary. The analysis revealed that the bifactor-ESEM yielded the best fit to the data (CFI = .90, RMSEA = .05, WRMR = .88). Further, strict invariance between the sexes was observed for this model. Omega hierarchical coefficients indicated outstanding reliability for the general factor (.86), acceptable estimates for the Dyadic Consensus (.60) and Cohesion (.57) subdomains, but poor reliability for the Dyadic Satisfaction (.22) and Affectional Expression (.36) factors; suggesting that the individual interpretation of these latter two subconstructs must be made with caution.

Adaptation and Validation of the LGBTCI to the Spanish LGBT Working Population

2020 ◽  
pp. 106907272098233
Author(s):  
María Luz Rivero-Díaz ◽  
Esteban Agulló-Tomás ◽  
Jose Antonio Llosa
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Job Insecurity ◽  
Equation Modeling ◽  
Workplace Climate ◽  
Working Population ◽  
Spanish Speaking ◽  
Confirmatory Factor ◽  
Correlated Factors

The Lesbian, Gay, Bisexual and Transgendered Climate Inventory (LGBTCI) is the only instrument that, from a holistic viewpoint, makes it possible to evaluate the workplace climate of support and/or hostility for LGBT workers. Recently, however its factor structure has been questioned. In addition, there is not a validated version in the Spanish-speaking countries. This study has the aim of adapting and validating the LGBTCI to the Spanish context and to investigate their factor structure through more accurate procedures. 587 LGBT Spanish nationality workers completed the LGBTCI and other scales. Its internal structure was checked by exploratory and confirmatory factor analysis and by exploratory structural equation modeling. The final scale of 15 items is divided into two-correlated factors (Support and Non-Hostility). Validity was supported by showing that both sub-scales were related negatively to job insecurity and turnover intentions and positively to work satisfaction, life satisfaction, P-O fit, P-J fit. This version has suitable psychometric properties for application and will allow an advance in research on the inclusion of LGBT workers in the Spanish-speaking context.

A Psychometric Study of the Quality Perception Questionnaire

2012 ◽  
Vol 71 (2) ◽  
pp. 101-106 ◽  
Author(s):  
Raffaele Cioffi† ◽  
Anna Coluccia ◽  
Fabio Ferretti ◽  
Francesca Lorini ◽  
Aristide Saggino ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Equation Modeling ◽  
Fit Indices ◽  
Quality Perception ◽  
Italian Survey ◽  
Confirmatory Factor ◽  
Instrument Measuring ◽  
Hospital Structures

The present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients’ perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (Mage = 56.42 years; SD = 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ² difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.

Working Memory, Mental Prospection, Time Orientation, and Cognitive Insight

2013 ◽  
Vol 34 (3) ◽  
pp. 159-169 ◽  
Author(s):  
Sevtap Cinan ◽  
Aslı Doğan
Keyword(s):  
Working Memory ◽  
Structural Equation ◽  
Factor Model ◽  
Time Orientation ◽  
Equation Modeling ◽  
Cognitive Insight ◽  
Confirmatory Factor ◽  
Negative Effect ◽  
Positive Effect ◽  
Three Factor

This research is new in its attempt to take future time orientation, morningness orientation, and prospective memory as measures of mental prospection, and to examine a three-factor model that assumes working memory, mental prospection, and cognitive insight are independent but related higher-order cognitive constructs by using confirmatory factor analysis (CFA). The three-factor model produced a good fit to the data. An alternative one-factor model was tested and rejected. The results suggest that working memory and cognitive insight are distinguishable, related constructs, and that both are distinct from, but negatively associated with, mental prospection. In addition, structural equation modeling (SEM) showed that working memory had a strong positive effect on cognitive insight and a moderate negative effect on mental prospection.

Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

2019 ◽  
Vol 35 (3) ◽  
pp. 317-325 ◽  
Author(s):  
Dorota Reis
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interoceptive Awareness ◽  
Multidimensional Assessment ◽  
New Instrument ◽  
Confirmatory Factor ◽  
Complex Models ◽  
Approximate Zero ◽  
Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

How Communication in Organizations Is Related to Foci of Commitment and Turnover Intentions

2020 ◽  
pp. 1-12
Author(s):  
Sebastian Holzwarth ◽  
George Gunnesch-Luca ◽  
Roman Soucek ◽  
Klaus Moser
Keyword(s):  
Organizational Communication ◽  
Turnover Intention ◽  
Structural Equation ◽  
Affective Commitment ◽  
Turnover Intentions ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Confirmatory Factor ◽  
Communication In Organizations ◽  
Cohesion Theory

Abstract. The current study analyzes how two components of perceived organizational communication (vertical and horizontal) are related to employee turnover intentions via three types of affective commitment foci (organization, supervisor, and team). Using second-order confirmatory factor analysis and structural equation modeling techniques with a large cross-sectional dataset ( n = 3,317), our results show that, in line with social cohesion theory, vertical communication (e.g., supportiveness from the organization) is strongly related to affective organizational commitment, whereas horizontal communication (e.g., supportiveness from colleagues) is primarily related to affective team commitment. Additionally, both communication dimensions are related to affective supervisory commitment. Finally, these three foci of affective commitment incrementally explain and differentially mediate the relationship between perceived organizational communication and turnover intention.

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