scholarly journals Confirmatory factor analysis of the Warwick-Edinburgh Mental Wellbeing Scale among youth in Mexico

2017 ◽  
Vol 62 (1) ◽  
pp. 309-315 ◽  
Author(s):  
Steven Hoffman ◽  
Heidi A Rueda ◽  
Matthew C Lambert
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Mental Wellbeing ◽  
Fit Indices ◽  
Chi Square ◽  
Confirmatory Factor ◽  
Health Assessments ◽  
Chi Square Test

The internal structure of the Warwick-Edinburgh Mental Wellbeing Scale was evaluated using confirmatory factor analysis for a sample of youth living in Michoacán, Mexico. While the chi-square test of model fit suggested misfit to the data, the alternative fit indices and standardized factor loadings supported the conclusion that the items are adequate and reliable indicators of a single underlying latent factor. The utilization of this strengths-based mental health instrument could help circumvent some of the negativity and stigma inherent in traditional mental health assessments.

scholarly journals The Cultural Dependence of the Ethical Sensitivity Scale Questionnaire: The Case of Iranian Kurdish Teachers

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Khalil Gholami ◽  
Kirsi Tirri
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Original Study ◽  
Model Fit ◽  
Ethical Sensitivity ◽  
Fit Indices ◽  
Good Theory ◽  
Error Covariance ◽  
Confirmatory Factor ◽  
Reasonable Model

A good theory-based tool for measuring ethical sensitivity, which is usable in different contexts, is scarce. In this study, we examined the Ethical Sensitivity Scale Questionnaire (ESSQ) in line with its seven-dimension structure. The scale was presented to a sample of 556 Iranian Kurdish teachers in primary, middle, and high schools. A confirmatory factor analysis was conducted to scrutinize the original factor structure of the ESSQ. The results confirmed that the ESSQ supports a reasonable model fit to study the seven dimensions of ethical sensitivity as it was developed in the original study. However, some modifications were conducted to free high error covariance between four pairs of items in the scale. This modification increased the fit indices and thus resulted in a good model fit. In addition to examining the satiability of the ESSQ, a further analysis showed that the level of ethical sensitivity in the targeted sample was high.

scholarly journals POTRET GAYA KEPUTUSAN PEMBELIAN MASYARAKAT KOTA PADANG DALAM MEMBELI MOBIL SEGMEN LOW MPV

2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Surya Dharma ◽  
Reni Yuliviona ◽  
Riesa Diana Utari
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Purchasing Decisions ◽  
Chi Square ◽  
Car Use ◽  
Confirmatory Factor ◽  
Decision Making Styles ◽  
Chi Square Test

<em>The main aim of this research was to identify Low MPV consumers’ decision making style in Padang by using Consumer Styles Inventory (CSI).  According to the CSI, one can capture what decision-making styles low-MPV car use.   Furthermore,  this research also discusses the type of Low-MPV differences among consumers.  Confirmatory factor analysis (CFA) was used to confirm the decision-making styles and Chi-Square Test to distinguish the differences between Low MPV type.    The results shows that there are differences in purchasing decisions making style between Toyota Avanza, Suzuki Ertiga, Honda Mobilio and Daihatsu Xenia.  Toyota Avanza consumers identified as perfectionist style and Suzuki Ertiga consumers as price conscious style while making a decission to buy</em><em>The main aim of this research was to identify Low MPV consumers’ decision making style in Padang by using Consumer Styles Inventory (CSI).  According to the CSI, one can capture what decision-making styles low-MPV car use.   Furthermore,  this research also discusses the type of Low-MPV differences among consumers.  Confirmatory factor analysis (CFA) was used to confirm the decision-making styles and Chi-Square Test to distinguish the differences between Low MPV type.    The results shows that there are differences in purchasing decisions making style between Toyota Avanza, Suzuki Ertiga, Honda Mobilio and Daihatsu Xenia.  Toyota Avanza consumers identified as perfectionist style and Suzuki Ertiga consumers as price conscious style while making a decission to buy</em>

scholarly journals Pembuktian Validitas terkait Struktur Tes Potensi Akademik Pascasarjana (PAPS) Universitas Gadjah Mada

2019 ◽  
Vol 46 (2) ◽  
pp. 145
Author(s):  
Wahyu Widhiarso
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Loading ◽  
Model Fit ◽  
The Other ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Academic Potential ◽  
Potential Test

This study examined the construct validity of the Graduate Academic Potential Test (PAPS). The examination was performed on all existing PAPS series (6 forms) to identify the consistency of dimensionality structure of PAPS. Data of this study were analyzed using confirmatory factor analysis (CFA). The results of the analysis support assumption that the structure of the PAPS test is unidimensional. All of the model fit indices support the decision that the unidimensional model fit the data. The study also examined factor loading that the non-verbal components, especially the quantitative components that had a higher factor weight than the other components.

scholarly journals ANALISIS IMPRESI KEPEMIMPINAN PARTISIPATIF DAN KOMPENSASI TERHADAP KINERJA BERBASIS KEPUASAN KERJA KARYAWAN

2020 ◽  
Vol 17 (2) ◽  
pp. 96-110
Author(s):  
Shalahuddin Udin
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Chi Square ◽  
Confirmatory Factor

Penelitian ini bertujuan untuk mengetahui pengaruh kepemimpinan partisipatif dan kompensasi terhadap kinerja karyawan. Sampel menggunakan 36 responden yang ditentukan berdasarkan metode non-probabilitas dengan teknik sensus. Data yang digunakan adalah data primer melalui instrumen kuesioner. Pengujian validitas dan reliabilitas menggunakan alat bantu software SPSS 25. Pengujian Confirmatory Factor Analysis (CFA) dan analisis data menggunakan SmartPLS 3.2.8. Pengujian validitas dan reliabilitas instrumen seluruhnya dinyatakan valid dan reliabel, demikian juga dengan hasil pengujian CFA seluruhnya terbukti valid dan reliabel.  Uji model fit menunjukan SRMR yang baik (0,10 atau sama dengan cut value), Chi-Square sangat baik (395,031 <552), NFI baik (0,591), dan Rms Theta tidak baik (0,237 > 0,12). Hasil penelitian membuktikan bahwa kepuasan kerja dipengaruhi signifikan oleh kepemimpinan partisipatif dengan Pvalue (0,000) < (a=0,05), kompensasi tidak terbukti berpengaruh terhadap kepuasan kerja dengan Pvalue (0,656) > (a=0,05), kepemimpinan partisipatif tidak terbukti berpengaruh  terhadap  kinerja karyawan dengan Pvalue (0,459) > (a=0,05), kompensasi terbukti berpengaruh positip dan signifikan terhadap kinerja karyawan dengan Pvalue (0,001) < (a=0,05), kepuasan kerja tidak terbukti berpengaruh terhadap kinerja karyawan dengan Pvalue (0,907) > (a=0,05). Selanjutnya, hasil analisis mediasi menunjukkan bahwa variabel kepuasan kerja tidak mampu memberikan efek mediasi antara variabel kepemimpinan partisipatif dan kompensasi terhadap variabel kinerja karyawan.   

scholarly journals Chi‐square for model fit in confirmatory factor analysis

2020 ◽  
Vol 76 (9) ◽  
pp. 2209-2211 ◽  
Author(s):  
Mousa Alavi ◽  
Denis C. Visentin ◽  
Deependra K. Thapa ◽  
Glenn E. Hunt ◽  
Roger Watson ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Chi Square ◽  
Confirmatory Factor

Effect of the number of scale points on chi‐square fit indices in confirmatory factor analysis

1997 ◽  
Vol 4 (2) ◽  
pp. 108-120 ◽  
Author(s):  
Samuel B. Green ◽  
Theresa M. Akey ◽  
Kandace K. Fleming ◽  
Scott L. Hershberger ◽  
Janet G. Marquis
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Fit Indices ◽  
Chi Square ◽  
Confirmatory Factor

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

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