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

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.

Author(s):  
Sapphasit Kaewhao

The research objectives were to verify the structural equation model of Ecological Footprint (EF) and Public Mind Inspiration (PMI) affecting the Pro-environmental Behaviour (PB) of undergraduate students. The samples were 400 undergraduates of Rajabhat Mahasarakham University, collected by The MultiStage sampling technique. The research tool was a five-rating scaled questionnaire. The data was analysed by employing descriptive statistics and the factor analysis with LISREL Mplus. The results revealed that EF and PMI were able to explain the variation of PB with 72.00 percent. EF had the most direct effect on PB with an effect of 0.45, subsequently was PMI with an effect of 0.42. Moreover, EF had an effect on PMI with an effect of 0.31 and was able to predict the variation of PMI with 75.00 percent. The structural equation model of EF affecting PB through PMI verified the proposed model. It fitted with all observed variables in line with the criteria of a ChiSquare/df value less or equal to 1.929 and it was less than or equal to 5.00 ( χ /df 5.00 2  ). RMSEA (Root Mean Square Error Approximation) equalled 0.045 (RMSEA < 0.05) and RMR (Root Mean Square Residual) equalled 0.024 (RMR < 0.05) and included the index level of model congruent value of Goodness of Fit Index (GFI) equal to 0.95, and Adjust Goodness of Fit Index (AGFI) equal to 0.93, which are between 0.90-1.00.


2020 ◽  
Vol 42 (5) ◽  
pp. 368-385
Author(s):  
Scott Rathwell ◽  
Bradley W. Young ◽  
Bettina Callary ◽  
Derrik Motz ◽  
Matt D. Hoffmann ◽  
...  

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.


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 ◽  
...  

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.


2015 ◽  
Vol 6 (2) ◽  
Author(s):  
M. Rakesh Krishnan ◽  
C. Ganesh

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).


2019 ◽  
pp. 003329411988405
Author(s):  
Cirilo H. Garcia Cadena ◽  
Leopoldo Daniel González ◽  
Adrián Valle de la O

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.


Diagnostica ◽  
2019 ◽  
Vol 65 (1) ◽  
pp. 49-59
Author(s):  
Johannes Graser ◽  
Christiane Heimlich ◽  
Augustin Kelava ◽  
Stefan G. Hofmann ◽  
Ulrich Stangier ◽  
...  

Zusammenfassung. Zur Erfassung der 3 Emotionsregulationsstrategien Unterdrücken, Anpassen / Neubewerten und Akzeptieren wurde der Affective Style Questionnaire für Jugendliche (ASQ-Y) adaptiert und an einer entsprechenden Stichprobe (N = 1 092) validiert. Die Dimensionalität des englischen Originalfragebogens und der deutschen Version für Erwachsene konnte auch für Jugendliche bestätigt werden. Während der Analyse kam das ESEM-Verfahren (Exploratory Structural Equation Modeling) zum Einsatz, die Kennwerte bewegten sich im akzeptablen bis sehr guten Bereich. Der Comparative Fit Index (CFI) erreichte einen akzeptablen Wert von .938, ebenso der Tucker–Lewis Index (TLI) mit einem Wert von .911. Der Root Mean Square Error of Approximation (RMSEA) lag bei einem sehr guten Wert von .050, das Standardized Root Mean Square Residual (SRMR) erreichte einen guten Wert von .030. Die internen Konsistenzen der 3 Skalen (Unterdrücken: α = .77; Anpassen / Neubewerten: α = .76; Akzeptieren: α = .76) erreichten (vergleichbar mit dem englischen Original und der deutschen Erwachsenenstichprobe) zufriedenstellende Werte. Die Subskalen zeigten hypothesenkonforme diskriminante und konvergente Zusammenhänge mit etablierten Verfahren des Forschungsbereichs Emotionsregulation, was für die Konstruktvalidität spricht. Insgesamt ist der ASQ-Y als Messinstrument zur Erfassung von verschiedenen Emotionsregulationsstrategien bei Jugendlichen geeignet und ökonomisch in seiner Anwendung. Der ASQ-Y kann in der Allgemeinbevölkerung und in der Prävention eingesetzt werden. Nach entsprechender Validierung ist der Einsatz auch im klinischen Setting möglich.


Author(s):  
Mia Widianti

Penelitian ini bertujuan untuk menguji teori dan model yang fit dengan data empiris mengenai masalah pengaruh kemandirian terhadap prestasi belajar Bahasa Indonesia kelas XI SMA Di Kota Depok Jawa Barat tahun ajaran 2015/2016. Metode yang digunakan penelitian ini adalah metode kuantitatif dengan pendekatan survey. Populasi penelitian adalah siswa SMA Negeri di Kota Depok Jawa Barat. Sampel penelitian ditentukan dengan teknik sampel acak proporsional sebanyak 306 siswa. Pengumpulan data menggunakan tes objektif dan kuesioner skala Model Likert. Data diperoleh berdasarkan kemampuan siswa menjawab soal Bahasa Indonesia dankemandirian dalam belajar. Analisis data menggunakan Structural Equation Modeling (SEM), dengan bantuan program aplikasi LISREL 8.80. Hasil penelitian dari 2 variabel laten dan 9 variabel kontruk yang cocok dengan model yang diusulkan, diperoleh dari uji hipotesis berdasarkan nilai GAMMA memiliki standar loading sebesar 0.68 error sebesar 0.05 nilai t-hitung sebesar 12.62 bila dikonsultasikan dengan nilai ttabel dengan jumlah sampel > 100 : α 0.05 maka diperoleh ttabel sebesar 1.96. karena thitung 12.62 > ttabel 1.96 maka dapat disimpulkan; kemandirian belajar berpengaruh secara signifikan terhadap prestasi belajar siswa mata pelajaran Bahasa Indonesia. Kemudian untuk uji kecocokan model, merujuk pada kecocokan model fit yang dapat diterima. Untuk nilai Chi-Square Probability sebesar 285.76 < 128. 8039 (good fit), RMSEA = root mean standar error apriximations sebesar 0.18 > 0.05 (marginal fit) Root Mean Square Residual (RMR) = 0.18 ≥ 0.08 (Good fit) Goodness of Fit Index (GFI) = 0.90 > 0.90 (good fit) Adjusted Goodness of Fit Index (AGFI) = 0. 90 > 0.90 (good fit) Parsimony Goodness of Fit Index (PGFI) = 0.35 > 0.05 (good fit) Non-Normed Fit Index (NNFI) = 0.95 > 0.90 (good fit) Comparative Fit Index (CFI) = 0.95 > 0.90 (good fit) Incremental Fit Index (IFI) = 0.95 > 0.90 Relative Fit Index (RFI) = 0.95 > 0.90


Author(s):  
Rahmad Abdilah ◽  
Budi Rahardjo ◽  
Rajesri Govindaraju

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.


2021 ◽  
Vol 10 (13) ◽  
pp. e272101321111
Author(s):  
Feng Yu Hua ◽  
Francine Náthalie Ferraresi Rodrigues Queluz ◽  
Elaine Rabelo Neiva ◽  
Marisete Peralta Safons

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.


Author(s):  
Marco Batista ◽  
Marta Leyton-Román ◽  
Samuel Honório ◽  
Jorge Santos ◽  
Ruth Jiménez-Castuera

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.


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