Factorial Structure and Measurement Invariance of the Acceptance and Action Questionnaire-Stigma (AAQ-S) in Spain

The objective of the present study was to validate and adapt the Acceptance and Action Questionnaire-Stigma (AAQ-S) to the Spanish context. Method: The study included the participation of 1212 subjects, with an average age of 17.12 years old. Results: The confirmatory factorial analysis revealed a number of adequate fit indices for the new version of the scale χ2/df = 3.24; Comparative Fit Index = 0.96; Incremental Fit Index = 0.96; Root Mean Square Error of Approximation = 0.060; Standardized Root Mean Square Residual = 0.035, in which the factorial structures displayed gender invariance. The two factors comprise the scale both exhibited high internal consistency (+0.90) and temporal stability. Conclusion: The Spanish version of the AAQ-S proved to be a robust and adequate psychometric instrument. In this sense, future lines of research focused on determining the role of psychological flexibility in stigma and the processes of change at the base of interventions could benefit substantially from the use of AAQ-S.

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Construct validity of the Individual Lifestyle Profile scale in times of social distancing

Revista Brasileira de Atividade Física & Saúde ◽

10.12820/rbafs.26e0235 ◽

2021 ◽

Vol 26 ◽

pp. 1-8

Author(s):

Thiago Ferreira de Sousa ◽

Sueyla Ferreira da Silva dos Santos ◽

Silvio Aparecido Fonseca ◽

Gerleison Ribeiro Barros ◽

Mauro Virgílio Gomes de Barros ◽

...

Keyword(s):

Root Mean Square Error ◽

Construct Validity ◽

Root Mean Square ◽

Goodness Of Fit ◽

Mean Square ◽

Fit Indices ◽

Root Mean Square Residual ◽

On Line ◽

The Individual ◽

Fit Index

Os objetivos do estudo foram estimar o nível de confiabilidade e validade fatorial da escala “Perfil do Estilo de Vida Individual” em tempos de distanciamento social, por meio da análise fatorial confirmatória (AFC). Para tanto, a escala “Perfil do Estilo de Vida Individual” em tempos de distanciamento social foi empregada em um estudo realizado com amostras de estudantes e servidores de instituições de ensino superior de diferentes regiões brasileiras. A amostra final correspondeu a 4.694 adultos que responderam o formulário on-line. Para a avaliação de constructo foi realizada a análise de consistência interna via Alfa de Cronbach’s (a) e correlação de Spearman. Empregou-se a AFC para testar a estrutura fatorial hipotética da escala. A consistência interna geral foi de a de 0,778 e houve correlações significativas, porém, inferiores a ± 0,799 para os itens dos mesmos constructos e ± 0,499 entre os itens de constructos diferentes. Na AFC, após ajustes na estrutura do modelo, ocorreu a adequação para todos os indicadores (Goodness-of-fit Index: 0,976; Comparative Fit Index: 0,937; Normalized Fit Indices: 0,932; Tucker-Lewis Indices: 0,914; Root Mean Square Error of Approximation: 0,047; Root Mean-Square Residual: 0,031; Standardized Root Mean-Square Residual: 0,0337), com a exceção para os valores de p do Qui-quadrado e razão entre Qui-quadrado e graus de liberdade. Conclui-se que a escala “Perfil do Estilo de Vida Individual” em tempos de distanciamento social, mostrou consistência interna e estrutura fatorial satisfatórias para orientar a avaliação do estilo de vida (individual ou de grupos) e as intervenções para promover estilos de vida saudáveis.

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Validade de constructo do módulo do questionário ISAQ-A para mensurar barreiras para a prática de atividades físicas no lazer de universitários

Revista Brasileira de Atividade Física & Saúde ◽

10.12820/rbafs.v.22n3p233-241 ◽

2017 ◽

Vol 22 (3) ◽

pp. 233-241

Author(s):

Thiago Ferreira de Sousa ◽

Silvio Aparecido Fonseca

Keyword(s):

Root Mean Square ◽

Mean Square ◽

Fit Indices ◽

Root Mean Square Residual ◽

Fit Index

O objetivo deste estudo foi analisar a validade de constructo e a consistência interna do módulo do questionário ISAQ-A para mensurar barreiras para a prática de atividades físicas no lazer de universitários, tendo como base a proposta de agrupamento em três fatores. Foi realizado um estudo transversal com amostra de 970 universitários de uma instituição de ensino superior do Estado da Bahia de média etária de 23,5 anos (±5,2 anos) e 54,5% do sexo feminino. O módulo do questionário ISAQ-A mensura 12 tipos de barreiras, com a possibilidade de resposta até três opções, por ordem de importância. Para analisar a validade de constructo, considerou-se a proposta de agrupamento das barreiras em três fatores: barreiras pessoais, barreiras situacionais e barreiras de recursos/oportunidades, mediante a análise fatorial confirmatória (AFC). A consistência interna foi avaliada por meio do alfa de Cronbach’s. A consistência interna geral foi de 0,95, e entre os fatores, variou de 0,86 para o fator situacional a 0,90 para o fator de recursos/ oportunidades. Os resultados da AFC mostraram adequação da proposta de classificação das barreiras em três fatores (Comparative Fit Index = 0,96; Standardized Root Mean-Square Residual = 0,03; Tucker-Lewis Indices = 0,95; Normalized Fit Indices = 0,96). Conclui-se que o módulo do questionário ISAQ-A para a mensuração de barreiras para a prática de atividades físicas no lazer de universitários apresentou níveis adequados de validade de constructo e de consistência interna.

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Validation of an Adapted Version of the Statistical Anxiety Scale in English and Its Relationship to Attitudes Toward Statistics

SAGE Open ◽

10.1177/21582440211001378 ◽

2021 ◽

Vol 11 (1) ◽

pp. 215824402110013

Author(s):

Monique O’Bryant ◽

Prathiba Natesan Batley ◽

Anthony J. Onwuegbuzie

Keyword(s):

Root Mean Square ◽

Discriminant Validity ◽

Factor Model ◽

The United States ◽

Anxiety Scale ◽

Mean Square ◽

Statistics Anxiety ◽

Root Mean Square Residual ◽

Two Factors ◽

Attitudes Toward Statistics

The aims of this study were to validate an instrument that measured statistics anxiety and to examine how attitudes toward statistics predict statistics anxiety using the Attitudes Toward Statistics (ATS) Scale for a sample of 323 undergraduate social science majors enrolled in colleges and universities in the United States. A confirmatory factor analysis suggested retaining a revised two-factor model of the Statistical Anxiety Scale (SAS) to measure statistics anxiety, namely, help and interpretation anxiety ([Formula: see text] = 49.37, df = 38.13, p = .105, comparative fit index [CFI] = .959, standardized root mean square residual [SRMR] = .035, root mean square error of approximation [RMSEA] = .076). An examination of discriminant validity of the scores of the SAS with scores of the ATS subscales revealed that statistics anxiety and attitudes toward statistics are distinct constructs. Structural equational modeling was used to determine whether attitude toward course and attitude toward field were predictors of examination anxiety and asking for help anxiety. Of the two factors of the ATS scale, attitudes toward field and attitudes toward course, the latter predicted examination anxiety better than the former did, although both were moderate predictors of examination anxiety. We recommend that statistics educators consider the role of statistics anxiety as well as attitudes toward statistics and the field when designing their pedagogical approach.

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Factorial Structure of the EOCL-1 Scale to Assess Executive Functions

Frontiers in Psychology ◽

10.3389/fpsyg.2021.585145 ◽

2021 ◽

Vol 12 ◽

Author(s):

Carlos Ramos-Galarza ◽

Jorge Cruz-Cárdenas ◽

Mónica Bolaños-Pasquel ◽

Pamela Acosta-Rodas

Keyword(s):

Executive Functions ◽

Root Mean Square ◽

Convergent Validity ◽

Behavioral Observation ◽

Behavioral Activity ◽

Mean Square ◽

Factorial Structure ◽

Validity And Reliability ◽

Root Mean Square Residual ◽

Fit Index

The process of assessing executive functions through behavioral observation scales is still under theoretical and empirical construction. This article reports on the analysis of the factorial structure of the EOCL-1 scale that assesses executive functions, as proposed by the theory developed by Luria, which has not been previously considered in this type of evaluation. In this scale, the executive functions taken into account are error correction, internal behavioral and cognition regulatory language, limbic system conscious regulation, decision making, future consideration of consequences of actions, goal-directed behavior, inhibitory control of automatic responses, creation of new behavioral repertoires, and cognitive–behavioral activity verification. A variety of validity and reliability analyses were carried out, with the following results: (a) an adequate internal consistency level of executive functions between α = 0.70 and α = 0.83, (b) significant convergent validity with a scale that assesses frontal deficits between r = −0.07 and r = 0.28, and (c) the scale’s construct validity that proposes a model with an executive central factor comparative fit index (CFI) = 0.93, root mean square error of approximation (RMSEA) = 0.04 (LO.04 and HI.04), standardized root mean square residual (SRMR) = 0.04, and x2(312) = 789.29, p = 0.001. The findings are discussed based on previous literature reports and in terms of the benefits of using a scale to assess the proposed executive functions.

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Avaliação da estrutura fatorial do Body Shape Questionnaire: análise fatorial exploratória ou confirmatória?

Jornal Brasileiro de Psiquiatria ◽

10.1590/0047-2085000000205 ◽

2018 ◽

Vol 67 (3) ◽

pp. 201-207 ◽

Cited By ~ 1

Author(s):

Wanderson Roberto da Silva ◽

João Marôco ◽

Juliana Alvares Duarte Bonini Campos

Keyword(s):

Root Mean Square Error ◽

Mean Square Error ◽

Root Mean Square ◽

Body Shape ◽

Mean Square ◽

Root Mean Square Residual ◽

Fit Index ◽

Tucker Lewis Index

RESUMO Objetivo: Conduzir uma discussão sobre as estratégias adotadas para avaliação da estrutura fatorial de instrumentos psicométricos utilizando como exemplo os modelos fatoriais do Body Shape Questionnaire (BSQ). Métodos: Foram avaliados sete modelos fatoriais diferentes do BSQ, que foram obtidos por meio de análise fatorial exploratória (AFE) e estão apresentados na literatura. A análise fatorial confirmatória desses modelos foi realizada para a amostra de estudo utilizando-se aos índices qui-quadrado pelos graus de liberdade (χ2/gl), Comparative Fit Index (CFI), Tucker-Lewis index (TLI), Root Mean Square Error of Approximation (RMSEA) e Weighted Root Mean Square Residual (WRMR). As validades convergente e discriminante foram avaliadas a partir da variância extraída média e do coeficiente de determinação entre os fatores do BSQ, respectivamente. A confiabilidade dos modelos foi avaliada a partir da confiabilidade composta e do coeficiente alfa de Cronbach. Resultados: Participaram 739 universitárias com média de idade de 20,4 (desvio-padrão = 2,4) anos. Todos os modelos apresentaram adequado ajustamento para a amostra de estudo, contudo a validade discriminante esteve comprometida neles. A confiabilidade dos modelos também foi adequada. Conclusão: Apesar de todos os modelos testados do BSQ apresentarem bons indicadores psicométricos, salienta-se que eles foram obtidos em amostras diferentes utilizando-se AFE e sem justificativa teórica plausível para a construção dos fatores, o que pode dificultar a escolha de um modelo para utilização em ambiente clínico. Assim, diante da importância de preservação do conceito teórico durante o desenvolvimento do instrumento, sugere-se cautela na utilização de modelos sem sustentação teórica.

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Measures of fit impacts: Application to the causal model of consumer involvement

International Journal of Market Research ◽

10.1177/1470785318796950 ◽

2018 ◽

Vol 61 (1) ◽

pp. 77-92

Author(s):

Eric Rakotoasimbola ◽

Sam Blili

Keyword(s):

Sample Size ◽

Root Mean Square ◽

Goodness Of Fit ◽

Causal Model ◽

Estimation Method ◽

Generalized Least Squares ◽

Consumer Involvement ◽

Mean Square ◽

Fit Indices ◽

Fit Index

Using the Monte Carlo simulation method, this study analyzes the impacts on fit indices by the degree of nonnormality of variables, the sample size, and the choice of estimation method. To address these issues, we use the causal model of consumer involvement as elaborated by Mittal and Lee. Results of this study show that adjusted goodness of fit index (AGFI) and goodness of fit index (GFI) are subject to variation in sample size, and their use requires a sample size of at least 300 observations to be reliable. Comparative fit index (CFI) and root mean square error of approximation (RSMEA) are more reliable with the generalized least squares (GLS) compared with maximum likelihood estimation (MLE) method under different settings of sample size and degree of nonnormality. Finally, for the standardized root mean square residual (SRMR), it is recommended that it is used with the MLE method. This study provides prescriptions for the choice of fit indices and the requirements of sample size and estimation method to test the causal model of consumer involvement. The method used here can be extended to any model before fitting it to real data. It helps researchers to prevent conflictual results regarding the choice of fit indices.

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The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes

Journal of Sport and Exercise Psychology ◽

10.1123/jsep.2020-0031 ◽

2020 ◽

Vol 42 (5) ◽

pp. 368-385

Author(s):

Scott Rathwell ◽

Bradley W. Young ◽

Bettina Callary ◽

Derrik Motz ◽

Matt D. Hoffmann ◽

...

Keyword(s):

Factor Analysis ◽

Structural Equation Modeling ◽

Root Mean Square ◽

Structural Equation ◽

Equation Modeling ◽

Mean Square ◽

Root Mean Square Residual ◽

Confirmatory Factor ◽

Masters Athletes ◽

Fit Index

Adult sportspersons (Masters athletes, aged 35 years and older) have unique coaching preferences. No existing resources provide coaches with feedback on their craft with Masters athletes. Three studies evaluated an Adult-Oriented Coaching Survey. Study 1 vetted the face validity of 50 survey items with 12 Masters coaches. Results supported the validity of 48 items. In Study 2, 383 Masters coaches completed the survey of 50 items. Confirmatory factor analysis and exploratory structural equation modeling indicated issues with model fit. Post hoc modifications improved fit, resulting in a 22-item, five-factor model. In Study 3, 467 Masters athletes responded to these 22 items reflecting perceptions of their coaches. Confirmatory factor analysis (comparative fit index = .951, standardized root mean square residual = .036, and root mean square error of approximation = .049) and exploratory structural equation modeling (comparative fit index = .977, standardized root mean square residual = .019, and root mean square error of approximation = .041) confirmed the model. The resultant Adult-Oriented Sport Coaching Survey provides a reliable and factorially valid instrument for measuring adult-oriented coaching practices.

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The Dark Triad Traits and the Prediction of Eudaimonic Wellbeing

Frontiers in Psychology ◽

10.3389/fpsyg.2021.693778 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yaqian Liu ◽

Na Zhao ◽

Min Ma

Keyword(s):

Family Support ◽

Root Mean Square ◽

Well Being ◽

Dark Triad ◽

Mediation Effect ◽

Mean Square ◽

Subjective Well Being ◽

Root Mean Square Residual ◽

Fit Index ◽

Eudaimonic Wellbeing

Although numerous studies have focused on personality traits related to well-being, the relationship between the Dark Triad Traits and eudaimonic well-being is still unclear. The purpose of the present study was to explore how the Dark Triad Traits (i.e., narcissism, Machiavellianism, and psychopathy) affect eudaimonic well-being. Further, this study also aimed to explore the mediation effect of family support and hedonic wellbeing. The results showed that the present model had a good model fit (χ2/df = 1.91, p < 0.001, comparative-fit-index (CFI) = 0.96, tucker-lewis-index (TLI) = 0.95, root mean square error of approximation (RMSEA) = 0.04, standardized root mean square residual (SRMR) = 0.04). There is a significant association between the Dark Triad Traits and eudaimonic wellbeing. Specifically, narcissism directly predicts eudaimonic wellbeing, while the effects of Machiavellianism and psychopathy on eudaimonic wellbeing are serial two-mediator models, which are mediated by family support and hedonic wellbeing. The results would enrich theoretical studies on personality while providing some practical evidence on how to improve the subjective well-being of individuals.

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Psychometric properties of the Cognitive and Metacognitive Learning Strategies Scales among preservice physical education teachers: A bifactor analysis

European Physical Education Review ◽

10.1177/1356336x18755087 ◽

2018 ◽

Vol 25 (3) ◽

pp. 616-639 ◽

Cited By ~ 1

Author(s):

Jiling Liu ◽

Ping Xiang ◽

Ron McBride ◽

Han Chen

Keyword(s):

Factor Analysis ◽

Physical Education ◽

Learning Strategies ◽

Root Mean Square ◽

Physical Education Teachers ◽

General Factor ◽

Mean Square ◽

Root Mean Square Residual ◽

Metacognitive Learning ◽

Fit Index

Although widely used to measure self-regulated learning strategies, the Motivated Strategies for Learning Questionnaire has not yielded satisfactory construct validity across empirical studies. This study examined its psychometric properties by focusing on one of its subscales, the Cognitive and Metacognitive Learning Strategies Scales, among 419 preservice physical education teachers ( M age = 23.05 years, SD = 4.28) from five physical education teacher preparation programmes in the southwestern United States of America. The participants responded to the 31-item Cognitive and Metacognitive Learning Strategies Scales, which assessed five categories of learning strategies: rehearsal, elaboration, organization, critical thinking, and metacognitive self-regulation. Each item was on a seven-point Likert scale. Initial confirmatory factor analysis did not support the original five-factor model. Following exploratory factor analysis identified three latent factors. Subsequent bifactor exploratory factor analysis revealed one general factor and two group factors, and following bifactor confirmatory factor analysis confirmed that this structure had an acceptable model fit, χ2 (353) = 731.327, p <.001; Root Mean Square Error of Approximation = .053; Comparative Fit Index = .907; Standardized Root Mean Square Residual = .047. A respecified bifactor model with 18 items resulted in a good fit, χ2 (120) = 161.384, p <.001; Root Mean Square Error of Approximation = .030; Comparative Fit Index = .980; Standardized Root Mean Square Residual = .034. Score reliability for the general factor Omega Hierarchical = .825; for the two group factors, Omega Scales = .211 and .238, respectively. Implications for future research and practice are discussed.

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Measuring Investment Importance Perception in Equity Shares: A Scale for Individual Investors

Drishtikon A Management Journal ◽

10.21863/drishtikon/2015.6.2.008 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

M. Rakesh Krishnan ◽

C. Ganesh

Keyword(s):

Factor Analysis ◽

Root Mean Square ◽

Goodness Of Fit ◽

Information Criterion ◽

Individual Investors ◽

Mean Square ◽

Goodness Of Fit Test ◽

Chi Square ◽

Root Mean Square Residual ◽

Fit Index

This study focused on developing a scale for measuring Investment Importance Perception in Equity shares (IIPe) of individual investors. Item generation (from equity share investors) and content validity was performed (with expert panel) to gather the initial pool of items for the scale. Exploratory Factor Analysis (EFA) was used for item reduction and for establishing the dimensions of IIPe. Further, Confirmatory Factor Analysis (CFA) was used test the measurement validity. Parameters were estimated with maximum likelihood (ML) through the use of AMOS (version 16). The assumptions for multivariate normality were checked by looking into the skewness and kurtosis value of the individual items of the scale. The chi-square goodness-of-fit test guided evaluation of model fit along with established fit indices such as goodness of fit index (GFI), comparative fit index (CFI), incremental fit index (IFI), standardized root mean square residual (SRMR), root-mean-square error of approximation (RMSEA) and Akaike Information Criterion (AIC).

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