scholarly journals Validation of the Mental Toughness Measure of Athletes and Non-athletes with the Structural Equation Model

2021 ◽  
Vol 119 ◽  
pp. 01001
Author(s):  
Issam Eddine Ben Chelbi ◽  
Jaouad Alem ◽  
Driss Boudhiba ◽  
Sabeur Hamrouni ◽  
Riadh Khalifa ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Scientific Research ◽  
Equation Model ◽  
Model Fit ◽  
Mental Toughness ◽  
Psychological Constructs ◽  
Arabic Speaking

The use of structural equation models (SEM) in scientific research perform a promising methodological and empirical direction to validate the measurement of psychological constructs. The aim of this paper is to validate the measurement of mental toughness of athletes and non-athletes with SEM. The sample consisted of 853 Tunisian participants (444 males and 409 females; 409 athletes and 444 non-athletes), aged 14 to 27 years (M=20.38 SD=4.12). The sample completed the Arabic translated questionnaire of Clough, Earle [1] which measures six components of their mental toughness. The SEM approved a good model fit (χ²=1146.33; df =1065; CFI=.93; SRMR=.063; RMSEA=.009) which allows for a valid Arabic-speaking measure of the six components of mental toughness.

scholarly journals Local Fit Evaluation of Structural Equation Models Using Graphical Criteria

2017 ◽  
Author(s):  
Felix Thoemmes ◽  
Yves Rosseel ◽  
Johannes Textor
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Global Approach ◽  
Goodness Of Fit Test ◽  
Single Index ◽  
Model Misfit

Evaluation of model fit is critically important for every structural equation model and sophisticated methods have been developed for this task. Among them are the χ2 goodness-of-fit test, decomposition of the χ2, derived measures like the popular RMSEA or CFI, or inspection of residuals or modification indices. Many of these methods provide a global approach to model fit evaluation: A single index is computed that quantifies the fit of the entire SEM to the data. In contrast, graphical criteria like d-separation or trek-separation allow to derive implications that can be used for local fit evaluation, an approach that is hardly ever applied. We provide an overview of local fit evaluation from the viewpoint of SEM practitioners. In the presence of model misfit, local fit evaluation can potentially help in pinpointing where the problem with the model lies. For models that do fit the data, local tests can identify the parts of the model that are corroborated by the data. Local tests can also be conducted before a model is fitted at all, and they can be used even for models that are globally under-identified. We discuss appropriate statistical local tests, and provide applied examples. We also present novel software in R that automates this type of local fit evaluation.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

scholarly journals Analisis Model Hubungan Attachment OrangT Dan Attachment Sahabat Terhadap Character Strength Dengan Teknik Analisis Structural Equetion Modeling (SEM)

2019 ◽  
Vol 7 (2) ◽  
pp. 104-112
Author(s):  
Natris Idriyani
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Model ◽  
Random Sampling ◽  
Structural Equation ◽  
Character Strengths ◽  
Equation Model ◽  
Model Fit ◽  
Confirmatory Factor ◽  
Cluster Random Sampling

Tujuan dari penelitian ini adalah ingin menguji model teoritik hubungan antara kelekatan dengan orang tua dan kelekatan sahabat dengan kekuatan karakter mahasiswa DKI Jakarta. Responden pada penelitian ini berjumlah 902 dari universitas yang ada di sekitar DKI Jakarta. Teknik pengambilan sampel menggunakan cluster random sampling. Metode pengumpulan data dalam penelitian ini menggunakan inventory dalam bentuk skala.  Alat ukur yang digunakan dalam penelitian ini adalah skala kelekatan orang tua dan sahabat, dan skala kekuatan karakter. Untuk menganalisis validitas alat ukur, penelitian ini menggunakan analisis Confirmatory Factor Analysis (CFA). Pengujian model fit dan uji hipotesis penelitian ini menggunakan teknik Structural Equation Model (SEM) dengan bantuan program software Lisrel 8.8.Berdasarkan hasil penelitian, diperoleh bahwa; terdapat kesesuaian model teoritik - hubungan antara kelekatan orang tua dan kelekatan sahabat serta kekuatan karakter mahasiswa- dengan data.  Purpose of this study was to assess the theoretical model of relationship between attachment to parents and attachment close friend with the character strengths students college in Jakarta.Respondents in this study amounted to 902 from universities around Jakarta. The sampling technique using cluster random sampling. Methods of data collection in this study using the inventory in the form of scale. Measuring instruments used in this study is the scale of attachment of parents and close friends and the scale character strengths. To analyze the validity of the measuring instrument, this study uses Analysis Confirmatory Factor Analysis (CFA). Testing the model fit and test the hypothesis of this study using the technique of Structural Equation Model (SEM) with the help of a software program lisrel 8.8.Based on the results of the study, found that; there is a fitness model theoretical- relationship between parental attachment and attachment to close friends and character strengths student college- with data.

scholarly journals The SEMinR Package

2021 ◽  
pp. 49-74
Author(s):  
Joseph F. Hair ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Nicholas P. Danks ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Software Package ◽  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Quality Reporting ◽  
Measurement Models ◽  
User Friendly

AbstractSEMinR is a software package developed for the R statistical environment (R Core Team, 2021). The package includes a user-friendly syntax for creating and estimating structural equation models using estimators such as partial least squares. In this chapter, we introduce the syntax to create, estimate, and report structural equation models using SEMinR. We demonstrate the four steps to specifying and estimating a structural equation model: (1) loading and cleaning the data, (2) specifying the measurement models, (3) specifying the structural model, and (4) estimating, bootstrapping, and summarizing the model. This chapter also describes how to export results and figures from R for professional, publication-quality reporting.

scholarly journals Perspektif Pengalaman Konsumen Terhadap Kesuksesan Event Lari Borobudur Marathon 2019

2020 ◽  
Vol 5 (2) ◽  
pp. 163-174
Author(s):  
Amelia Larassary
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Model Fit ◽  
Chi Square ◽  
Sport Event ◽  
Probability Sampling

Meningkatnya animo masyarakat dalam berpartisipasi event lari di Indonesia menunjukan nilai positif dalam bidang manajemen pemasaran olahraga. Tetapi peningkatan partisipan tersebut tidak dibarengi dengan kualitas event yang baik. Tujuan penelitian ini adalah mengonfirmasikan faktor–faktor yang mempengaruhi kesuksesan event Borobudur Marathon 2019. Penelitian kuantitatif analisis faktor konfirmatori melibatkan 60 responden berdasarkan teknik probability sampling, pengambilan data dengan menyebarkan kuesioner online. Variabel yang diteliti ialah pengalaman konsumen, kepuasan konsumen dan interaksi sosial. Untuk menguji validitas angket dan realibitas indikator angket digunakan SPSS 24 dan SPSS Amos untuk melihat model fit (Chi-square= 106,198, x2=0,27, GFI= 0,793, CMIN/DF= 2,82, CFI= 0,862, TLI= 0,821) berdasarkan Structural Equation Model (SEM). Hasil penelitian menunjukkan faktor pengalaman konsumen sebesar 70,957% yang dominan mempengaruhi kesusesan event Borobudur Marathon 2019. Faktor kepuasan konsumen memiliki pengaruh  sebesar 17,93%  dan interaksi sosial memliliki pengaruh sebesar 11,1%. Kesimpulan semua variabel saling berhubungan dan faktor pengalaman konsumen paling dominan dalam mempengaruhi kesuksesan event Borobudur Marathon 2019. Disarakan agar setiap event membuat strategi yang menjual nilai yang khas dari event tersebut, sehingga berdampak positif terhadap kesuksesan event tersebut dan perbaikan  manajerial sport event organize dalam mempromosikan potensi olahraga pariwisata.

scholarly journals Examination of the relationship between metacognitive thinking skills and scientific research self-efficacy via regression analysis and structural equation modelÜst biliş düşünme becerileri ve bilimsel araştırma özyeterliği arasındaki ilişkinin regresyon analizi ve yapısal eşitlik modeli ile incelenmesi

2017 ◽  
Vol 14 (2) ◽  
pp. 1273 ◽  
Author(s):  
Murat Tuncer ◽  
Ömer Yılmaz
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Scientific Research ◽  
Thinking Skills ◽  
Equation Model ◽  
Problem Solving Skills ◽  
Mediator Role

This study analyzed the relation between scientific research self-efficacy and metacognitive thinking skills of prospective teachers. Hence this study was executed in relational screening method. The findings of our study unveiled that a significant relation existed between Metacognition thinking subskill domains and scientific research self-efficacy. Accordingly thinking, problem solving, decision making and alternative evaluation skills explained approximately 27% of the score variance of scientific research self-efficacy. In this study three models devised on the principle of structural equation model were tested. It was concluded at the end of this study that decision-making skills played a mediator role between thinking skills and conclusion and discussion skills. Further to that it was identified that thinking skills played a mediator role between literature skills and problem-solving skills. Lastly it was identified that thinking skills played a mediator role between problem solving and conclusion and discussion skills. ÖzetBu çalışmada öğretmen adaylarının bilimsel araştırma öz-yeterlikleri ile üst biliş düşünme becerileri arasındaki ilişki araştırılmaktadır. Dolayısıyla araştırma ilişkisel tarama yöntemine göre yürütülmüştür. Araştırma sonucunda Üst biliş düşünme alt beceri alanlarıyla bilimsel araştırma özyeterliği arasında anlamlı bir ilişki olduğu belirlenmiştir. Buna göre düşünme, problem çözme,  karar verme ve alternatif değerlendirme becerileri bilimsel araştırma özyeterliğine yönelik puanlara ait varyansın yaklaşık %27’sini açıklamaktadır. Araştırmada yapısal eşitlik modeline göre kurulan üç model test edilmiştir. Araştırma sonucunda düşünme becerileri ve sonuç ve tartışma becerileri arasında karar verme becerilerinin aracılık etkisinin olduğu belirlenmiştir. Bunun yanında alanyazın becerileri ve problem çözme becerileri arasında düşünme becerilerinin aracılık etkisinin olduğu gözlenmiştir. Son olarak problem çözme ve sonuç tartışma becerileri arasında düşünme becerilerinin aracılık etkisinin olduğu saptanmıştır.

The development of a measure of root awareness to account for reading performance in the Arabic language: A development and validation study

2018 ◽  
Vol 40 (2) ◽  
pp. 303-322 ◽  
Author(s):  
SANA TIBI ◽  
JAMIE L. TOCK ◽  
JOHN R. KIRBY
Keyword(s):  
Reading Fluency ◽  
Structural Equation ◽  
Word Reading ◽  
Factor Model ◽  
Salient Feature ◽  
Arabic Language ◽  
Equation Model ◽  
Model Fit ◽  
Reading Outcomes ◽  
Arabic Speaking

ABSTRACTMorphological awareness (MA) is an important predictor of reading outcomes in different languages. The consonantal root is a salient feature of Arabic lexical structure and critical to MA. The goals of this study were to (a) develop a measure of root awareness (RA) as one dimension of MA in Arabic, and (b) validate the RA measure by predicting reading outcomes in an Arabic population. A set of RA items was administered to 194 Arabic-speaking third-grade children. A one-factor model was specified using confirmatory factor analysis to examine the model fit of the RA measure. A structural equation model was then developed to examine the relation between the RA measure and important reading outcome measures including word reading, reading fluency, and reading comprehension. The results of these analyses indicated good model fit, and the RA measure accounted for a substantial portion of the variance in the outcomes. The establishment of the RA measure is an important preliminary step to efficiently assessing MA in Arabic and could serve as an integral tool for studying reading development.

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