scholarly journals Limitations in the systematic analysis of structural equation model fit indices

2017 ◽  
Vol 16 (1) ◽  
pp. 69-85 ◽  
Author(s):  
Sarah A Rose ◽  
Barry Markman ◽  
Shlomo Sawilowsky
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Model Fit ◽  
Fit Indices ◽  
Systematic Analysis ◽  
Model Fit Indices

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 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.

Self-Handicapping and Burnout

2012 ◽  
Vol 110 (1) ◽  
pp. 187-196 ◽  
Author(s):  
Ahmet Akin
Keyword(s):  
Structural Equation Model ◽  
Emotional Exhaustion ◽  
Structural Equation ◽  
Maslach Burnout Inventory ◽  
Equation Model ◽  
Personal Accomplishment ◽  
The Self ◽  
Model Fit ◽  
Relationship Of ◽  
The Relationship

Self-handicapping is a process containing strategies of externalization in which an individual can excuse failure and internalize success. This study investigated the relationship of self-handicapping with measures of burnout. The Self-handicapping Scale and the Maslach Burnout Inventory were administered to 309 university students. Self-handicapping was positively correlated to emotional exhaustion, lowered personal accomplishment, and depersonalization. A structural equation model fit the data well and accounted for 20% of the variance in emotional exhaustion, 14% in lowered personal accomplishment, and 10% in depersonalization.

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.

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