scholarly journals The Precision of the Overall Data-Model Fit for Different Design Features in Confirmatory Factor Analysis

2021 ◽  
Vol 11 (1) ◽  
pp. 6766-6774
Author(s):  
D. Almaleki
Keyword(s):  
Factor Analysis ◽  
Data Model ◽  
Empirical Evaluation ◽  
Model Fit ◽  
Fit Indices ◽  
Multiple Features ◽  
Study Results ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Study Context

Factor Analysis (FA) is the study of variance within a group. Within-Subject Variance (WSV) is affected by multiple features in a study context such as the Experimental Design (ED) or the Sampling Design (SD). The aim of this study is to provide an empirical evaluation of the influence of different aspects of ED and SD on WSV in the context of FA in terms of model precision. The study results showed that the precisions of the overall model fit indices TLI and CFI, as functions of VTF, STV, h2, and their interaction, varied, as did the precisions of the overall model fit indices GFI, AGFI, and RMSEA as functions of VTF, STV, and their interactions. Overall, when the VTF is 4:1 or 7:1, the required STV is 16:1 or above 32:1 or above to show precision in factor solution.

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 Professional Fulfillment: Concept and Instrument Proposition

Psico-USF ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 27-39
Author(s):  
Ligia Carolina Oliveira-Silva ◽  
Juliana Barreiros Porto ◽  
John Arnold
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Model Fit ◽  
Career Goals ◽  
Equation Modeling ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
The Right ◽  
Professional Fulfillment

Abstract This paper aims to propose a concept and an instrument of professional fulfillment (PF), which is theoretically defined as the perception of having attained or being on the right track for attaining one’s most important career goals. The Professional Fulfillment Scale (PFS) was developed in order to operationalize PF, being tested across two studies. Regarding Study 1, in which 406 workers took part, results from exploratory factor analysis evidenced construct validity for PFS. In Study 2, in which 270 workers took part, results from confirmatory factor analysis and structural equation modeling presented satisfactory model fit indices for PFS. We conclude that both the professional fulfillment concept and the scale are useful for mapping people’s importance and achievement of career goals and evaluation of progress, working as a diagnostic tool for career management.

scholarly journals A study on development of Perceived Quality-Image Scale in Sports Organizations

2018 ◽  
Vol 15 (4) ◽  
pp. 2407
Author(s):  
Yeşim Bayrakdaroglu ◽  
Dursun Katkat
Keyword(s):  
Reliability Analysis ◽  
Model Fit ◽  
Measurement Tool ◽  
Fit Indices ◽  
Confirmatory Factor Analyses ◽  
Sports Organizations ◽  
Confirmatory Factor ◽  
Quality Image ◽  
Model Fit Indices ◽  
Marketing Activities

The purpose of this study is to research how marketing activities of international sports organizations are performed and to develop a scale determining the effects of image management on public. The audiences of interuniversity World Winter Olympic sheld in Erzurum in 2011 participated in the research. Explanatory and Confirmatory Factor Analysis, reliability analysis were performed over the data obtained. All model fit indices of 25-item and four-factor structure of quality-image scale perceived in sports organizations applied were found to be at good level. In line with the findings obtained from the explanatory and confirmatory factor analyses and reliability analysis, it can be uttered that the scale is a valid and reliable measurement tool that can be used in field researches.

Measuring Employability Skills of Budding IT Professionals in India

2021 ◽  
Vol 12 (1) ◽  
pp. 51-73
Author(s):  
Khushbu Khurana ◽  
Rajnish Kumar Misra
Keyword(s):  
Factor Analysis ◽  
Phase 1 ◽  
Model Fit ◽  
Employability Skills ◽  
Measurement Scale ◽  
Fit Indices ◽  
Technology Planning ◽  
Skill Sets ◽  
Confirmatory Factor ◽  
Two Phases

The purpose of this study is to identify employability skills among aspiring engineering graduates and develop measurement scale to assess their skill sets. This research has been conducted in two phases: Phase 1 covers the scale development process and Phase 2 covers exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and validation. The findings of EFA resulted in ten factors of employability. Subsequently, CFA identified nine different factors: leadership, critical thinking, numeracy, sociability, using technology, planning and organizing, problem-solving, teamwork, and emotional intelligence skills. The values of CFA met the acceptance level of different fit indices and thus, resulted in a good model fit. Further, the internal consistency of the total scale yielded Cronbach's alpha value (α = 0.82). The threshold values of CR, AVE, and MSV also met the required criteria. Thus, it received a valid and reliable 26-item measurement scale of employability which can prove to be useful for academia, students, and employers in computer science and information technology.

scholarly journals Exploratory and confirmatory factor analysis of the Roteiro de Avaliação da Consciência Fonológica, a phonological awareness test

2017 ◽  
Vol 34 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Acácia Aparecida Angeli dos SANTOS ◽  
Thatiana Helena de LIMA
Keyword(s):  
Factor Analysis ◽  
Public Schools ◽  
Confirmatory Factor Analysis ◽  
Phonological Awareness ◽  
Exploratory Factor Analysis ◽  
Fit Indices ◽  
School Students ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
The One

Abstract The objective of this study is to investigate the evidence of construct validity of a phonological awareness instrument. Exploratory factor analysis was carried out on data collected from 510 elementary and middle school students in 2nd and 6th grades attending two different public schools in the city of São Paulo, Brazil; most were males with mean age of 8.4 years. Confirmatory factor analysis was carried out on data collected from 427 students from other four Brazilian states in the same grades; most were females with mean age of 9.3 years. The instrument used was the Roteiro de Avaliação da Consciência Fonológica, a phonological awareness test. The exploratory factor analysis showed a three-factor solution. As for the confirmatory factor analysis, of the two models tested, the one that indicated better model fit indices was composed of three factors. The model found is adequate for the task carried out in this study. However, more studies should be carried out to further refine the instrument.

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 The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation

2020 ◽  
pp. 001316442094289
Author(s):  
Amanda K. Montoya ◽  
Michael C. Edwards
Keyword(s):  
Factor Analysis ◽  
Root Mean Square ◽  
Exploratory Factor Analysis ◽  
Model Fit ◽  
Mean Square ◽  
Fit Indices ◽  
Scale Evaluation ◽  
Number Of Factors ◽  
Model Fit Indices ◽  
The Impact

Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the ubiquity of correlated residuals and imperfect model specification. Our research focuses on a scale evaluation context and the performance of four standard model fit indices: root mean square error of approximate (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI), and Tucker–Lewis index (TLI), and two equivalence test-based model fit indices: RMSEAt and CFIt. We use Monte Carlo simulation to generate and analyze data based on a substantive example using the positive and negative affective schedule ( N = 1,000). We systematically vary the number and magnitude of correlated residuals as well as nonspecific misspecification, to evaluate the impact on model fit indices in fitting a two-factor exploratory factor analysis. Our results show that all fit indices, except SRMR, are overly sensitive to correlated residuals and nonspecific error, resulting in solutions that are overfactored. SRMR performed well, consistently selecting the correct number of factors; however, previous research suggests it does not perform well with categorical data. In general, we do not recommend using model fit indices to select number of factors in a scale evaluation framework.

The poor fit of model fit for selecting number of factors in exploratory factor analysis for scale evaluation

2020 ◽  
Author(s):  
Amanda Kay Montoya ◽  
Michael C. Edwards
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Evaluation Framework ◽  
Model Fit ◽  
Model Specification ◽  
Fit Indices ◽  
Scale Evaluation ◽  
Number Of Factors ◽  
Model Fit Indices ◽  
The Impact

Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the ubiquity of correlated residuals and imperfect model specification. Our research focuses on a scale evaluation context and the performance of four standard model fit indices: root mean squared error of approximate (RMSEA), standardized root mean squared residual (SRMR), comparative fit index (CFI), and Tucker-Lewis index (TLI), and two equivalence test-based model fit indices: RMSEAt and CFIt. We use Monte Carlo simulation to generate and analyze data based on a substantive example using the positive and negative affective schedule (N = 1000). We systematically vary the number and magnitude of correlated residuals as well as nonspecific misspecification, to evaluate the impact on model fit indices in fitting a two-factor EFA. Our results show that all fit indices, except SRMR, are overly sensitive to correlated residuals and nonspecific error, resulting in solutions which are over-factored. SRMR performed well, consistently selecting the correct number of factors; however, previous research suggests it does not perform well with categorical data. In general, we do not recommend using model fit indices to select number of factors in a scale evaluation framework.

scholarly journals Confirmatory and Exploratory Factor Analysis for Validating the Phlegm Pattern Questionnaire for Healthy Subjects

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Hyunho Kim ◽  
Boncho Ku ◽  
Jong Yeol Kim ◽  
Young-Jae Park ◽  
Young-Bae Park
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Exploratory Factor Analysis ◽  
Healthy Subjects ◽  
Discriminant Validity ◽  
Correlation Coefficients ◽  
Model Fit ◽  
Healthy Population ◽  
Fit Indices ◽  
Model Fit Indices

Background. Phlegm pattern questionnaire (PPQ) was developed to evaluate and diagnose phlegm pattern in Korean Medicine and Traditional Chinese Medicine, but it was based on a dataset from patients who visited the hospital to consult with a clinician regarding their health without any strict exclusion or inclusion. In this study, we reinvestigated the construct validity of PPQ with a new dataset and confirmed the feasibility of applying it to a healthy population.Methods. 286 healthy subjects were finally included and their responses to PPQ were acquired. Confirmatory factor analysis (CFA) was conducted and the model fit was discussed. We extracted a new factor structure by exploratory factor analysis (EFA) and compared the two factor structures.Results. In CFA results, the model fit indices are acceptable (RMSEA = 0.074) or slightly less than the good fit values (CFI = 0.839, TLI = 0.860). Many average variances extracted were smaller than the correlation coefficients of the factors, which shows the somewhat insufficient discriminant validity.Conclusions. Through the results from CFA and EFA, this study shows clinically acceptable model fits and suggests the feasibility of applying PPQ to a healthy population with relatively good construct validity and internal consistency.

scholarly journals Construction of Moral Disengagement Scale for Adults: A Reliable Measure

2021 ◽  
Vol 36 (2) ◽  
pp. 199-223
Author(s):  
Ayesha Saif ◽  
Saima Riaz
Keyword(s):  
Factor Analysis ◽  
Moral Disengagement ◽  
Item Analysis ◽  
Principal Component ◽  
Indigenous Research ◽  
Fit Indices ◽  
Confirmatory Factor ◽  
Model Fit Indices ◽  
Test Retest Reliability ◽  
Age Range

The main objective of current research was development of an indigenous Moral Disengagement Scale for Adults (MDS-A) in Urdu language. The subsequent objective was the establishment of reliability of newly developed Scale. Initially an item pool of 116 items was formulated based on Bandura’s model (2002) which was reduced to 106 items and later 92 items after expert’s evaluation and item analysis, respectively. Exploratory Factor Analysis (EFA) was conducted on 92 items scale by administering it on 579 adults (250 men and 329 women), age range of 19-83 years from villages and various educational institutes of district Gujrat, Pakistan. EFA by using Principal Component Analysis with Varimax Orthogonal Rotation resulted in six factor solution of 63 items. Later Confirmatory Factor Analysis (CFA) confirmed the six-factor structure on an independent sample of 413 adults (193 men and 220 women) with age range 19-80 years from Gujrat district, Pakistan. After deletion of 43 items, CFA yielded good model fit indices for final 20 items MDS-A. MDS-A had very satisfactory Cronbach’s alpha reliability and test-retest reliability. MDS-A also demonstrated construct validity in terms of highly significant item-total correlations and subscale-to-scale total correlations. Overall, a reliable and valid scale for measurement of moral disengagement among adults in Pakistani culture is available for further indigenous research and counselling settings.

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