scholarly journals The Examination of Model Fit Indexes with Different Estimation Methods under Different Sample Sizes in Confirmatory Factor Analysis

2016 ◽  
pp. 432-432
Author(s):  
Ayfer SAYIN
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Estimation Methods ◽  
Sample Sizes ◽  
Confirmatory Factor ◽  
Fit Indexes

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.

scholarly journals Trisilas Local Wisdom Scale , Silih Asih, Silih Asah, Silih Asuh

2020 ◽  
Vol 5 (2) ◽  
pp. 121
Author(s):  
Nandlia Fauzia ◽  
Sri Maslihah ◽  
Diah Zaleha Wyandini
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Confirmatory Factor

Penelitian ini bertujuan untuk mengembangkan alat ukur nilai kearifan lokal trisilas yang berasal dari falsafah budaya suku Sunda. Responden pada penelitian ini adalah masyarakat suku Sunda sebanyak 310 orang. Jumlah butir skala nilai kearifan lokal trisilas sebelum diujikan adalah 45 butir, lalu setelah diujikan berjumlah 17 butir. Penelitian ini menggunakan analisis faktor yaitu dengan metode CFA (Confirmatory Factor Analysis) untuk dapat menganalisis validitas konstruk. CFA ini digunakan untuk menguji model faktor alat ukur nilai kearifan lokal Trisilas berdasarkan pada indeks kecocokan parameter model fit. CFA menunjukkan kecocokan model yang baik diantaranya nilai RMSEA sebesar 0.066, nilai GFI sebesar 0.904 serta nilai CFI sebesar 0.890 yang mana seluruh parameter yang digunakan peneliti untuk menganalisis faktor alat ukur nilai kearifan lokal Trisilas telah sesuai dengan kriteria minimum nilai indeks kecocokan suatu model. Kata kunci: Confirmatory Factor Analysis, masyarakat suku Sunda, nilai kearifan lokal trisilas

scholarly journals Psychometric Properties of the 25-Item Connor-Davison Resilience Scale: Preliminary Data for a Romanian Military Population

2021 ◽  
Vol 26 (1) ◽  
pp. 31-38
Author(s):  
Iulia-Clarisa Giurcă ◽  
Adriana Baban ◽  
Sebastian Pintea ◽  
Bianca Macavei
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Preliminary Data ◽  
Model Fit ◽  
Military Population ◽  
Resilience Scale ◽  
Confirmatory Factor

AbstractThe following study is aimed at investigating the construct validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC 25) on a Romanian military population. The exploratory factor analysis was conducted on 434 male military participants, aged between 24 and 50 years (M = 34.83, S.D. = 6.14) and the confirmatory factor analysis was conducted on a sample of 679 military participants, of 605 men and 74 women, aged between 18 and 59 years (M = 38.37, S.D. = 9.07). Factor analysis of the scale showed it to be a bidimensional, rather than a multidimensional instrument, as the original five-factor structure was not replicated in this military Romanian sample. Moreover, EFAs suggested that a 14-item bidimensional model should be retained and CFA confirmed that this model fit the data best.

scholarly journals Measuring adolescent attitudes towards dementia: The revalidation and refinement of the A-ADS

2020 ◽  
pp. 135910532095347
Author(s):  
Nicolas Farina ◽  
Alys W Griffiths ◽  
Laura J Hughes ◽  
Sahdia Parveen
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Concurrent Validity ◽  
Principal Component ◽  
Model Fit ◽  
Single Factor ◽  
Confirmatory Factor ◽  
Adolescent Attitudes ◽  
Good Internal Consistency

The A-ADS is one the first validated measures of attitudes of dementia in adolescents, though further validation is needed. 630 adolescents were recruited from secondary schools in England. A Principal Component Analysis was completed ( n = 230) followed by a Confirmatory Factor Analysis ( n = 400). Reducing the A-ADS into a single factor, 13-item measure (Brief A-ADS) improved the model fit of the measure (χ2 = 182.75, DF = 65, CMIN/DF = 2.81, p < 0.001, CFI = 0.90, RMSEA = 0.07). The scale demonstrated good internal consistency, good predictive and concurrent validity. Building on the validation of the A-ADS, the Brief A-ADS is suitable to capture attitudes towards dementia amongst adolescents.

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.

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