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.

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

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.

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).

Development and Validation of a Survey to Assess Patient-Perceived Medication Knowledge and Confidence in Medication Use

2014 ◽  
Vol 22 (1) ◽  
pp. 120-134 ◽  
Author(s):  
Arinze Nkemdirim Okere ◽  
Colleen M. Renier ◽  
Jacqueline Morse
Keyword(s):  
Factor Analysis ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Survey Methods ◽  
Primary Objective ◽  
Mean Square ◽  
Validity And Reliability ◽  
Medication Knowledge ◽  
Confirmatory Factor ◽  
Fit Index

Background and Purpose: The primary objective of this study is to establish the validity and reliability of a perceived medication knowledge and confidence survey instrument (Okere–Renier Survey). Methods: Two-stage psychometric analyses were conducted to assess reliability (Cronbach’s α >.70) of the associated knowledge scale. To evaluate the construct validity, exploratory and confirmatory factor analyses were performed. Results: Exploratory factor analysis (EFA) revealed three subscale measures and confirmatory factor analysis (CFA) indicated an acceptable fit to the data (goodness-of-fit index [GFI = 0.962], adjusted goodness-of-fit index [AGFI = 0.919], root mean square residual [RMR = 0.065], root mean square error of approximation [RMSEA] = 0.073). A high internal consistency with Cronbach’s α of .833 and .744 were observed in study Stages 1 and 2, respectively. Conclusions: The Okere–Renier Survey is a reliable instrument for predicting patient-perceived level of medication knowledge and confidence.

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 KONSTRUK KINERJA KEPALA SEKOLAH DASAR DI DAERAH ISTIMEWA YOGYAKARTA

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Samsul Hadi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Second Order ◽  
Mean Square ◽  
Confirmatory Factor ◽  
Fit Index

Penelitian ini bertujuan untuk mengetahui model konstruk dan struktural kinerja kepala sekolah. Hasil penelitian ini diharapkan dapat memberi sumbangan terhadap pengukuran kinerja kepala sekolah di masa yang akan datang. Penelitian ini merupakan penelitian expost facto dengan populasi guru dan kepala sekolah dasar di Daerah Istimewa Yogyakarta. Sampel sebanyak 1239 guru dan 208 kepala sekolah dasar dipilih secara acak. Data guru dan kepala sekolah dianalisis dengan Second-Order Confirmatory Factor Analysis (Second-Order CFA) secara terpisah dan divalidasi silang dengan multi-sample CFA. Pengujian kecocokan model dilakukan menggunakan χ2 Satorra-Bentler dengan taraf signifikansi 5%, Comparative Goodness of Fit Index (CFI), dan Root Mean Square Error Approximation (RMSAE). Hasil penelitian menunjukkan hal-hal sebagai berikut. 1) Kinerja kepala sekolah mempunyai dimensi kepemimpinan, manajemen, dan kepribadian. 2) Berdasarkan data kepala sekolah, koefisien jalur dari dimensi dan muatan faktor dari indikator yang ada dalam model cukup tinggi, bernilai positif, dan signifikan. 3) Hasil validasi silang model konstruk kinerja kepala sekolah menggunakan data guru dan data kepala sekolah menunjukkan tidak ada perbedaan model. Kata kunci: model konstruk, persamaan pengukuran, persamaan struktural, kinerja kepala sekolah

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 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 Validation of the Patient-Centred Care Competency Scale Instrument for Finnish Nurses

2021 ◽  
Vol 11 (6) ◽  
pp. 583
Author(s):  
Riitta Suhonen ◽  
Katja Lahtinen ◽  
Minna Stolt ◽  
Miko Pasanen ◽  
Terhi Lemetti
Keyword(s):  
Factor Analysis ◽  
Root Mean Square ◽  
Goodness Of Fit ◽  
Item Analysis ◽  
Healthcare Delivery ◽  
Mean Square ◽  
Cronbach’S Alpha ◽  
Patient Centred Care ◽  
Cronbach's Alpha ◽  
Confirmatory Factor

Patient-centredness in care is a core healthcare value and an effective healthcare delivery design requiring specific nurse competences. The aim of this study was to assess (1) the reliability, validity, and sensitivity of the Finnish version of the Patient-centred Care Competency (PCC) scale and (2) Finnish nurses’ self-assessed level of patient-centred care competency. The PCC was translated to Finnish (PCC-Fin) before data collection and analyses: descriptive statistics; Cronbach’s alpha coefficients; item analysis; exploratory and confirmatory factor analyses; inter-scale correlational analysis; and sensitivity. Cronbach’s alpha coefficients were acceptable, high for the total scale, and satisfactory for the four sub-scales. Item analysis supported the internal homogeneity of the items-to-total and inter-items within the sub-scales. Explorative factor analysis suggested a three-factor solution, but the confirmatory factor analysis confirmed the four-factor structure (Tucker–Lewis index (TLI) 0.92, goodness-of-fit index (GFI) 0.99, root mean square error of approximation (RMSEA) 0.065, standardized root mean square residual (SRMR) 0.045) with 61.2% explained variance. Analysis of the secondary data detected no differences in nurses’ self-evaluations of contextual competence, so the inter-scale correlations were high. The PCC-Fin was found to be a reliable and valid instrument for the measurement of nurses’ patient-centred care competence. Rasch model analysis would provide some further information about the item level functioning within the instrument.

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