scholarly journals Propriedades psicométricas da versão brasileira do Exame Geronto Psicomotor

2021 ◽  
Vol 10 (13) ◽  
pp. e272101321111
Author(s):  
Feng Yu Hua ◽  
Francine Náthalie Ferraresi Rodrigues Queluz ◽  
Elaine Rabelo Neiva ◽  
Marisete Peralta Safons
Keyword(s):  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Fit Index

O presente estudo verificou as evidências de validade e confiabilidade da versão brasileira do Exame Geronto Psicomotor (EGP-Br). 215 idosos, com idade média de 70,22 anos (DP: + 6,59) responderam a um questionário demográfico e foram avaliados com o EGP-Br. Os dados foram analisados por Análise Fatorial Exploratória e o alfa de Cronbach,  considerando os índices de ajuste: GFI (Goodness of Fit Index), AGFI (Ajusted Goodness of Fit Index) e RMSR (Root Mean Square Residual) e a Variância Média Extraída. A estrutura fatorial apresentou três fatores: Fator 1 = Cognição (α = 0,90); Fator 2 = Mobilidade Articular (α = 0,80); Fator 3 = Equilíbrio (α = 0,70), com bons índices de ajuste (GFI = 0,99; AGIF = 0,99; RMSR = 0,03). Os parâmetros psicométricos dos fatores 1, 2 e 3 foram respectivamente: Validade Convergente = 0,55; 0,70; 0,50. Validade Discriminante = 0,74; 0,84; 0,70. Conclui-se que o EGP-Br apresenta boas evidências de validade e confiabilidade, adequadas para utilização no contexto brasileiro.

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

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.

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

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).

A New Brief Scale to Measure Optimism

2019 ◽  
pp. 003329411988405
Author(s):  
Cirilo H. Garcia Cadena ◽  
Leopoldo Daniel González ◽  
Adrián Valle de la O
Keyword(s):  
Root Mean Square ◽  
Goodness Of Fit ◽  
Self Esteem ◽  
Factorial Invariance ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Fit Index ◽  
Item Scale

This research was done to find if using maximum likelihood could reduce the Interactive Optimism Scale-Garcia to a new valid and reliable shorter version. There were 502 adults: 263 women and 239 men ( Mage = 34.67, SD = 12.27). It was used in confirmatory factor analysis. A four-item scale is obtained, having excellent goodness of fit: [χ2/ df = .609, GFI (Jöreskog and Sörbom’s Goodness-of-Fit Index) = .999, NFI (Normed Fit Index) = .999, CFI (Bentler’s Comparative Fit Index) = 1.000, RMSEA (Steiger–Lind root mean square error of approximation) = .000 (90% CI = .0001, .077); SRMR (standardized root mean square residual) = .007], as well as factorial invariance across sexes; the scale has good internal consistency (ω = .869, α = .858, ordinal α = .906). Brief Interactive Optimism Scale-G correlates significantly with self-esteem ( r = .779, p < . 01, 95% CI [.816, .736]), depression ( r = −.810, p < .01, 95% CI [.843, .772]), and psychopathy ( r = −.670, p < . 01, 95% CI [.723, .611]). In conclusion, Brief Interactive Optimism Scale-G is a good option for measuring optimism in Mexicans.

scholarly journals PENGEMBANGAN MODEL ADOPSI TEKNOLOGI E-VOTING

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Rahmad Abdilah ◽  
Budi Rahardjo ◽  
Rajesri Govindaraju
Keyword(s):  
Root Mean Square ◽  
Goodness Of Fit ◽  
Electronic Voting ◽  
P Value ◽  
Mean Square ◽  
Root Mean Square Residual ◽  
Fit Index ◽  
Meansquare Error ◽  
Voting Model

Electronic voting atau e-voting adalah suatumetode pengalihan pemilihan dari manual menjadilebih terkoordinir. Hal ini dilakukan dengankombinasi dari hardware dan software. Pemilih akanberpartisipasi di dalam e-voting dengan syaratmereka tidak akan ditipu. Pemilih ingin mengetahuidan percaya bahwa proses tersebut dapat di pantauoleh masyarakat yang memiliki kemampuan untukmemahami bagaimana sistem dapat bekerja.Model penelitian yang digunakan dalampenelitian ini dikembangkan berdasarkanpenelitian Tsuma dan analisis structural equationmodeling untuk menentukan bentuk model. Bentukmodel diuji dengan 19 pengujian yaitu Chi-squareatau p-value, GFI (Goodness of Fit Index), RMR(Root Mean Square Residual), RMSEA (Root MeanSquare Error of Approximation) ECVI (ExpectedCross-Validation Index), TLI/NNFI (Non-NormedFit Index), NFI (Normed Fit Index), PNFI(Parsimony Normed Fit Index), AGFI (AdjustedGoodness of Fit Index), RFI (Relative Fit Index),CFI (Comparative Fit Index), AIC, CAIC, CN(Critical N), IFI(Incremental Fit Index),PGFI(Parsimony Goodness of Fit Index), NCP(Non-centrality Parameter), CMIN/Df dan SRMR(Standardized RMR).Kata kunci : e-voting, model dan structuralequation modeling.

scholarly journals The Structural Equation Model of Intention to Discontinue Drinking Highly Caffeinated Beverage of Undergraduate Students

2020 ◽  
Vol 26 (1) ◽  
pp. 35-46
Author(s):  
Kyu Eun Lee ◽  
Yunsoo Kim
Keyword(s):  
Root Mean Square ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Health Belief ◽  
Equation Model ◽  
Mean Square ◽  
Beverage Consumption ◽  
Root Mean Square Residual ◽  
Fit Index

Purpose: The purpose of this study was to test a model for intention to discontinuation drinking high caffeinated beverages among undergraduate students. This model was based on the Ajzen’s theory of planned behavior and Becker’s health belief model.Methods: Participants consisted of 201 undergraduate students. Data were collected by questionnaires from March 11 to May 24, 2019. Collected data were analyzed using SPSS/WIN 22.0, AMOS 22.0 program.Results: The assessment of the model indicated an acceptable fit (normed x<sup>2</sup>=1.65, goodness-of-fit index [GFI]=.83, adjusted GFI=.79, comparative fit index [CFI]=.92, standardized root mean square residual [SRMR]=.05, Tucker-Lewis index [TLI]=.91, normed fit index [NFI]=.87, root mean square error of approximation [RMSEA]=.07). Perceived behavior control, subjective norm, the subjective attitude was found to have a significant direct effect on the intention to discontinuation of drinking a high caffeinated beverage. The variances of this model explained 45.3% of the variance in intention to discontinuation of drinking a high caffeinated beverage.Conclusion: These results suggest that a need to increase awareness of adverse effects and potential risks of high caffeinated beverage consumption in undergraduate students. Besides, the university and government should provide education and campaigns to prevent excessive high-caffeinated beverage consumption.

scholarly journals Validation of the Portuguese Version of the Healthy Lifestyle Questionnaire

2020 ◽  
Vol 17 (4) ◽  
pp. 1458
Author(s):  
Marco Batista ◽  
Marta Leyton-Román ◽  
Samuel Honório ◽  
Jorge Santos ◽  
Ruth Jiménez-Castuera
Keyword(s):  
Root Mean Square ◽  
Goodness Of Fit ◽  
Healthy Lifestyle ◽  
Measurement Model ◽  
Mean Square ◽  
Portuguese Version ◽  
Root Mean Square Residual ◽  
Balanced Diet ◽  
Lifestyle Questionnaire ◽  
Fit Index

The main objective of this study was the validation of the Healthy Lifestyle Questionnaire (EVS II), using a confirmatory factorial analysis of the measurement model, with veteran athletes. A total of 348 veteran Portuguese athletes of both genders, aged between 30 and 60 years (M = 41.64, SD = 9.83), of whom 200 were males and 148 were females, from several sports. The results of the confirmatory factor analysis demonstrate the adequacy of the adapted version of the EVS II, as the factorial structure (6 factors/24 items) has acceptable validity indexes: χ2 = 305.925, p = 0.000, df = 120.017, χ2/df = 2.549, NFI (Normed Fit Index) = 0.909, TLI (Tucker Lewis Index) = 0.918, CFI (Comparative Fit Index) = 0.944, GFI (Goodness of Fit Index) = 0.944, AGFI (Adjusted Goodness of Fit Index) = 0.909, SRMR (Standardized Root Mean Square Residual) = 0.048, RMSEA (Root Mean Square of Approximation) = 0.060, allowing evaluation of the dimensions of balanced diet, respect for mealtime, tobacco and alcohol consumption, other drugs consumption and resting habits. The adaptation to sport of the Portuguese version of EVS II can be used with reasonable confidence in the evaluation of healthy lifestyles in the context of sport.

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

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.

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

2018 ◽  
Vol 67 (3) ◽  
pp. 201-207 ◽  
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.

scholarly journals Adaptação transcultural Portugal-Brasil do Inventário de Burnout de Maslach para estudantes

2012 ◽  
Vol 46 (5) ◽  
pp. 816-824 ◽  
Author(s):  
Juliana Alvares Duarte Bonini Campos ◽  
João Maroco
Keyword(s):  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Mean Square ◽  
Fit Index

OBJETIVO: Realizar a adaptação transcultural da versão em português do Inventário de Burnout de Maslach para estudantes e investigar sua confiabilidade, validade e invariância transcultural. MÉTODOS: A validação de face envolveu participação de equipe multidisciplinar. Foi realizada validação de conteúdo. A versão em português foi preenchida em 2009, pela internet, por 958 estudantes universitários brasileiros e 556 portugueses da zona urbana. Realizou-se análise fatorial confirmatória utilizando-se como índices de ajustamento o χ²/df, o comparative fit index (CFI), goodness of fit index (GFI) e o root mean square error of approximation (RMSEA). Para verificação da estabilidade da solução fatorial conforme a versão original em inglês, realizou-se validação cruzada em 2/3 da amostra total e replicada no 1/3 restante. A validade convergente foi estimada pela variância extraída média e confiabilidade composta. Avaliou-se a validade discriminante e a consistência interna foi estimada pelo coeficiente alfa de Cronbach. A validade concorrente foi estimada por análise correlacional da versão em português e dos escores médios do Inventário de Burnout de Copenhague; a divergente foi comparada à Escala de Depressão de Beck. Foi avaliada a invariância do modelo entre a amostra brasileira e a portuguesa. RESULTADOS: O modelo trifatorial de Exaustão, Descrença e Eficácia apresentou ajustamento adequado (χ²/df = 8,498; CFI = 0,916; GFI = 0,902; RMSEA = 0,086). A estrutura fatorial foi estável (λ: χ²dif = 11,383, p = 0,50; Cov: χ²dif = 6,479, p = 0,372; Resíduos: χ²dif = 21,514, p = 0,121). Observou-se adequada validade convergente (VEM = 0,45;0,64, CC = 0,82;0,88), discriminante (ρ² = 0,06;0,33) e consistência interna (α = 0,83;0,88). A validade concorrente da versão em português com o Inventário de Copenhague foi adequada (r = 0,21;0,74). A avaliação da validade divergente do instrumento foi prejudicada pela aproximação do conceito teórico das dimensões Exaustão e Descrença da versão em português com a Escala de Beck. Não se observou invariância do instrumento entre as amostras brasileiras e portuguesas (λ:χ²dif = 84,768, p < 0,001; Cov: χ²dif = 129,206, p < 0,001; Resíduos: χ²dif = 518,760, p < 0,001). CONCLUSÕES: A versão em português do Inventário de Burnout de Maslach para estudantes apresentou adequada confiabilidade e validade, mas sua estrutura fatorial não foi invariante entre os países, apontando ausência de estabilidade transcultural.

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

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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