Journal articles: 'Confirmatory factor analysis (CFA)'

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Crede, Marcus, and Peter Harms. "Questionable research practices when using confirmatory factor analysis." Journal of Managerial Psychology 34, no. 1 (February 11, 2019): 18–30. http://dx.doi.org/10.1108/jmp-06-2018-0272.

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Purpose The purpose of this paper is to describe common questionable research practices (QRPs) engaged in by management researchers who use confirmatory factor analysis (CFA) as part of their analysis. Design/methodology/approach The authors describe seven questionable analytic practices and then review one year of journal articles published in three top-tier management journals to estimate the base rate of these practices. Findings The authors find that CFA analyses are characterized by a high base rate of QRPs with one practice occurring for over 90 percent of all assessed articles. Research limitations/implications The findings of this paper call into question the validity and trustworthiness of results reported in much of the management literature. Practical implications The authors provide tentative guidelines of how editors and reviewers might reduce the degree to which the management literature is characterized by these QRPs. Originality/value This is the first paper to estimate the base rate of six QRPs relating to the widely used analytic tool referred to as CFA in the management literature.

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Nizar, Jusoh, Mohamad Wijayanuddin Ali, Tuan Abdullah Tuan Amran, Husain Alias, and Zamri Chik. "Assessment Model for Construct Occupational Accident Using Confirmatory Factor Analysis." E3S Web of Conferences 90 (2019): 03004. http://dx.doi.org/10.1051/e3sconf/20199003004.

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The objective of this paper is to assess the occupational accident model construct using confirmatory factor analysis (CFA). The data for the study were obtained from the questionnaire survey using Likert scale rated 1 to 10 on 450 workers at the oil and gas terminal in Terengganu. CFA was used to verify the fitness of measurement model construct of occupational accident. A total of 53 significant items for the overall variables of occupational accident input were studied. In conclusion, all the variables of occupational accident construct such as engineering, human, and technical factors comply with the requirements of dimensions, validity, and reliability of the CFA requirement.

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Wipulanusat, Warit, Kriengsak Panuwatwanich, and Rodney A. Stewart. "Workplace Innovation: Exploratory and Confirmatory Factor Analysis for Construct Validation." Management and Production Engineering Review 8, no. 2 (June 1, 2017): 57–68. http://dx.doi.org/10.1515/mper-2017-0018.

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AbstractWorkplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96). Both factors showed good reliability of the scale (Individual creativity:α= 0.83, CR = 0.86, and AVE = 0.62; Team Innovation:α= 0.82, CR = 0.88, and AVE = 0.61). These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation.

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Hasanah, Mizan, and Miftahuddin Miftahuddin. "Uji Validitas Konstruk Komitment Organisasi Dengan Metode Confirmatory Factor Analysis (CFA)." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 7, no. 2 (October 1, 2018): 97–103. http://dx.doi.org/10.15408/jp3i.v7i2.12108.

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Tujuan dari penelitian ini adalah untuk menguji validitas konstruk dari komitmen organisasi. Dalam penelitian ini, menggunakan tiga dimensi komitmen organisasi dari Allen & Meyer (1990) yaitu, komitmen afektif (affective commitment), komitmen berkelanjutan (continuance commitment) dan komitmen normatif (normative commitment) dengan jumlah total sebanyak 24 item. Sampel yang digunakan sebanyak 175 orang. Metode analisis faktor yang digunakan dalam penelitian ini adalah confirmatory factor analysis (CFA) dengan bantuan program lisrel 8.70 dalam pengolahan datanya. Berdasarkan perhitungan dengan metode CFA dapat disimpulkan bahwa semua dimensi memerlukan modifikasi model pengukuran untuk dapat memperoleh nilai fit. The purpose of this study is to examine the construct validity of organizational commitment. In this study, using three dimensions of organizational commitment from Allen & Meyer (1990), namely, affective commitment, continuance commitment and normative commitment with a total of 24 items. The sample used was 175 people. The factor analysis method used in this study is confirmatory factor analysis (CFA) with the help of the 8.70 lisrel program in processing the data. Based on calculations using the CFA method it can be concluded that all dimensions require modification of the measurement model to be able to obtain a fit value.

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Hemmelgarn, Anthony L., Larry R. James, Robert T. Ladd, and Terence R. Mitchell. "Testing for Cross-Situational-Consistency: A Confirmatory Factor Analytic Approach." Journal of Management 21, no. 1 (February 1995): 121–39. http://dx.doi.org/10.1177/014920639502100108.

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Numerous procedures have been suggested for investigating behaviors across situations for consistency versus situational specificity. It is proposed here that Confirmatory Factor Analysis (CFA) may provide an useful addition to these procedures. To illustrate the process, a CFA model based on simulated data is presented and tested. The results of this simulation are employed to make recommendations for conducting CFA to test for cross-situational consistency.

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Suwartono, Christiany, and Dewa Bintamur. "Validation of the Emotion Regulation Questionnaire (ERQ): Network Analysis as an Alternative of Confirmatory Factor Analysis (CFA)." ANIMA Indonesian Psychological Journal 34, no. 3 (April 25, 2019): 115–24. http://dx.doi.org/10.24123/aipj.v34i3.2300.

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Construct validity with a confirmatory factor analysis (CFA) method is often used by researchers to identify the structure of psychological measurement. Although this CFA method has provided a complete evaluation of the structure of the test, sometimes there is no consensus reached regarding the number of factors. With the CFA method, researchers determined and compared several models to choose the adequate scale structure, including the number of factors in a scale. The network analysis can play a role to help researchers. In this network analysis, the results of the analysis presented in a visual form, which can facilitate the researchers quickly identify the scale structure based on the relations, displayed in the form of lines (thick-thin) and colors (green-red). Current research aims to test the reliability and construct validity; also, shows that network analysis can be an alternative in presenting visualizations and interpretations compare with factor analysis methods, especially CFA. We used The Emotion Regulation Questionnaire (ERQ) with 954 participants aged 16-57 years. The results are either, with the CFA analysis method or network analysis; it is evident that ERQ has two factors, namely suppression and reappraisal. The results show that the network analysis method can be used as an alternative in identifying the structure of the psychological scale.

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Inceoglu, Feyza, Saim Yologlu, and Emine Kanik. "Comparative analysis of models in confirmatory factor analysis: Exploring clinical applications and interpretation." Medicine Science | International Medical Journal 12, no. 2 (2023): 562. http://dx.doi.org/10.5455/medscience.2022.12.278.

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To demonstrate the explainability of the scales with fewer dimensions instead of the number of existing dimensions by ensuring that the scale structures created by explanatory factor analysis (EFA) are verified with confirmatory factor analysis (CFA). Data from the Nutritional Behavior Scale in Children, answered by the parents of 204 children with autism spectrum disorder (ASD) were used. EFA was performed with the data obtained from the scale. In the next step, the explained variance percentages and dimensions were determined and the model goodness of fit indexes were calculated with CFA. The dimensions with the lowest explained variance percentages were removed from the model, respectively, and three different scale models were tested. The variance explanation percentage of the first eight-dimensional model created with EFA was calculated as 72.68%. The food fussiness sub-dimension was removed and CFA was applied to the model again and new indices were calculated. Finally, the emotional under-eating sub-dimension was excluded from the model, resulting in a six-dimensional Child Eating Behavior Scale (CEBS). Goodness-of-fit indices of the CFA model established with six dimensions were χ2 / df; 1.545, AIC; 715,433 and RMSEA; 0.052 was found. It has been shown that the eight, seven, and six-dimensional scale models constructed according to the percentages of variance explained for CEBS are sufficient to explain the sample and that the six-dimensional scale model can be used for CEBS. Our study is the first to use competing models in confirmatory factor analysis in reducing scale dimensions.

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Boostanipoor, Alireza, and Bagher Sanai Zaker. "The Questionnaire of Marital Conflicts: A Confirmatory Factor Analysis (CFA)." International Journal of Psychological Studies 8, no. 1 (January 26, 2016): 125. http://dx.doi.org/10.5539/ijps.v8n1p125.

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The family provides a healthy context for growth and reform. The function of the family is to support the character formation of its members while creating among them the sense of belonging. There have always been several views about the family with healthy and unhealthy functions. What is present in all these views is that a healthy family is a family in which the spouses are in a healthy and effective relationship. However, most of the couples who attend counseling centers state that their main problems are relationship problems and conflicts. So, there have been always necessary to have a tool for measuring the concept of conflict and its dimensions in every cultural context. To meet this need, the questionnaire of marital conflict has been provided which primary from involves 42 questions in 7 subscales; which, in the present research, it has been tried, to evaluate another one of the main dimensions of marital conflict, decreased effective contact, by adding 12 questions to the primary questionnaire. Then, on its confirmatory factor analysis, the present questionnaire was filled out by 270 participants. The results are indicative of optimal psychometric properties (α=0.96), and accepted clinical and scholarly applications.

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Schneider, Alexander, Jeri E. Forster, and Meredith Mealer. "Exploratory and Confirmatory Factor Analysis of the Maslach Burnout Inventory to Measure Burnout Syndrome in Critical Care Nurses." Journal of Nursing Measurement 28, no. 1 (March 16, 2020): E18—E29. http://dx.doi.org/10.1891/jnm-d-18-00055.

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Background and PurposeBurnout syndrome is common in critical care nursing. The Critical Care Societies Collaborative recently released a joint statement and call to action on burnout in critical care professionals.MethodsWe conducted an exploratory factor analysis and confirmatory factor analysis (CFA) of the 22-item MBI.ResultsThe exploratory factor analysis identified three factors but after questions were removed; we were left with a 2-factor, 10-item abridged version of the MBI-HSS to test with CFA modeling. The CFA indicated conflicting fit indices.Conclusionswe conducted an exploratory and CFA of the abridged MBI-HSS in critical care nurses from the United States and found the two-factor model was the best fit achieved.

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Fauzi, Ahmad, Muhammad Saefi, Widi Cahya Adi, Evi Kristiana, and Nurlita Lestariani. "Instrument evaluation of conspiracy theory about COVID-19: Exploratory factor analysis and confirmatory factor analysis." International Journal of Evaluation and Research in Education (IJERE) 11, no. 2 (June 1, 2022): 491. http://dx.doi.org/10.11591/ijere.v11i2.22339.

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Students’ beliefs toward conspiracy theory (CT) of COVID-19 can be the indication of science education quality. However, a validated instrument to measure the level of students’ acceptance on the CT about COVID-19 still remains unexplored. This study aimed to evaluate the questionnaire of CT about COVID-19. The questionnaire consisted of 14 items and delivered online to the 400 students of Biology education in Indonesia. The data was analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). All items have standard deviation between 1.60 and 2.63, but one item was revealed to have insignificant correlation. The EFA result indicated that the other 13 items had loading factor 0.5 and were categorized into three dimensions. The third dimension was eliminated after the administration of CFA due to only one item in the dimension (λ>0.5). There were three items in the first dimension and two items in the second dimension resulted in λ<0.5. The correlated model from CFA disclosed good values of goodness of fit (GOF), χ2/df=2.527, root mean square error of approximation (RMSEA) standardized root mean square residual (SRMR)=0.014, comparative fit index (CFI)=0.964, goodness-of-fit index (GFI)=0.969, adjusted goodness of fit (AGFI)=0.940, Tucker-Lewis index (TLI)=0.947, and normed fit index (NFI)=0.943. Therefore, the questionnaire is strongly recommended to measure the level of students’ beliefs toward the CT of COVID-19.

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Adhikari, Yubaraj, and Birgit Senft. "A confirmatory factor analysis of hopkins symptoms checklist (HSCL-25) Nepali version." MOJ Public Health 11, no. 3 (September 22, 2022): 164–68. http://dx.doi.org/10.15406/mojph.2022.11.00395.

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Aim: To examine the validity and reliability of HSCL-25 through using CFA. Methods: A non-experimental survey design was used to examine the anxiety and depression of doctors (n=547) using online and paper-and-pencil methods with the use of N-HSCL-25. Confirmatory factor analysis (CFA) and other applicable psychometric tests were carried out. Results: A positive and strong correlation between anxiety and depression were measured with a correlation coefficient value of .88. The reliability scores of Cronbach alpha for anxiety and depression were 0.890 and 0.926 respectively. Three items, including a suicide screening item, of the depression sub-scale, and two items of the anxiety sub-scale had to extricate due to poor factor loadings. Post-hoc CFA verified Nepali version of HSCL-20, bi-factor model, with model fit scores for SMRs, RMR, and RMSEA less than 0.08. The model fit scores of NFI, TLI, AGFI, and CFI were above .90. Conclusions: CFA confirmed N-HSCL-20 with validity and reliability indicators for further use in the Nepali population. The study recommends using a separate suicide screening tool in the Nepali context.

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Önder, Fatih, Pinar Çelik, and İlhan Silay. "PSYCHOMETRIC EVALUATION ON THE TURKISH ADAPTATION OF THE SCIENTIFIC ATTITUDE INVENTORY." Journal of Baltic Science Education 11, no. 1 (March 25, 2012): 7–15. http://dx.doi.org/10.33225/jbse/12.11.07.

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The purpose of this study is to adapt Scientific Attitude Inventory-II into Turkish and to examine its factor structure. The English and Turkish versions of the scale were tested out on the students in the Department of English Language Teaching (N=40) at Dokuz Eylul University a week apart and a high degree of correlation was found between the scores of the two applications. Then Confirmatory Factor Analysis (CFA) was conducted with the data collected from 292 students in order to examine the factor structure of the scale. Following the CFA, 12, 6, 3 and 1 factor structures did not fit the data. When Exploratory Factor Analysis was conducted with the same data set, it was determined that the items in the scale could be grouped under four factors. The scale was tested out on different 255 students and CFA was conducted again. After the CFA, the four-factor structure was found to be adequate fit with the data. Key words: confirmatory analyses, exploratory analyses, psychometric evaluation, scientific attitude inventory.

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Perkins, David, Gita Mathur, and Kam Jugdev. "Project management resources and outcomes: a confirmatory factor analysis." International Journal of Managing Projects in Business 13, no. 3 (December 26, 2019): 600–615. http://dx.doi.org/10.1108/ijmpb-07-2019-0170.

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Purpose The purpose of this paper is to draw on the resource-based view of the firm from strategic management and apply it to a study of competitive advantage in the project management context. Confirmatory factor analysis (CFA) is used to examine the factors that constitute strategic characteristics of project management resources and outcomes of the project management process. Design/methodology/approach This study gathered data from 437 North American project management professionals using an existing survey tool from prior research involving a smaller sample. Findings The final model derived from CFA demonstrated construct validity, meaning acceptable convergent and discriminant validity. It showed only minor differences from a prior exploratory factor analysis (EFA). The final model consisted of two factors representing valuable project management characteristics, one factor representing rare project management characteristics, one factor representing inimitable project management characteristics, three factors representing organizational support for project management assets, one factor representing project-level performance and one factor representing firm-level performance. Research limitations/implications Limitations of the study include self-report bias and the use of a panel for data collection. Practical implications This study draws managerial attention to project management characteristics that constitute a source of competitive advantage. Originality/value The study validates a survey tool from previous research, reflects few deviations from factor structure of the prior EFA, and sets the stage for future research to elaborate on the conceptual model. It extends understanding of the characteristics of project management assets that lead to a firm’s competitive advantage.

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Benevides-Pereira, Ana Maria T., Pedro Guilherme Basso Machado, Paulo Cesar Porto-Martins, José Antonio Carrobles, and José de Oliveira Siqueira. "Confirmatory factor analysis of the ISB - Burnout Syndrome Inventory." Psychology, Community & Health 6, no. 1 (May 30, 2017): 28–41. http://dx.doi.org/10.5964/pch.v6i1.165.

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AimBurnout is a dysfunctional reaction to chronic occupational stress. The present study analysis the psychometric qualities of the Burnout Syndrome Inventory (ISB) through Confirmatory Factor Analysis (CFA).MethodEmpirical study in a multi-centre and multi-occupational sample (n = 701) using the ISB. The Part I assesses antecedent factors: Positive Organizational Conditions (PC) and Negative Organizational Conditions (NC). The Part II assesses the syndrome: Emotional Exhaustion (EE), Dehumanization (DE), Emotional Distancing (ED) and Personal Accomplishment (PA).ResultsThe highest means occurred in the positive scales CP (M = 23.29, SD = 5.89) and PA (M = 14.84, SD = 4.71). Negative conditions showed the greatest variability (SD = 6.03). Reliability indexes were reasonable, with the lowest rate at .77 for DE and the highest rate .91 for PA. The CFA revealed RMSEA = .057 and CFI = .90 with all scales regressions showing significant values (β = .73 until β = .92).ConclusionThe ISB showed a plausible instrument to evaluate burnout. The two sectors maintained the initial model and confirmed the theoretical presupposition. This instrument makes possible a more comprehensive idea of the labour context, and one or another part may be used separately according to the needs and the aims of the assessor.

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Daoud, Fawzi S., and Amjed A. Abojedi. "Equivalent Factorial Structure of the Brief Symptom Inventory (BSI) in Clinical and Nonclinical Jordanian Populations." European Journal of Psychological Assessment 26, no. 2 (January 2010): 116–21. http://dx.doi.org/10.1027/1015-5759/a000016.

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This study investigates the equivalent factorial structure of the Brief Symptom Inventory (BSI) in clinical and nonclinical Jordanian populations, using both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The 53-item checklist was administered to 647 nonclinical participants and 315 clinical participants. Eight factors emerged from the exploratory factor analysis (EFA) for the nonclinical sample, and six factors emerged for the clinical sample. When tested by parallel analysis (PA) and confirmatory factor analysis (CFA), the results reflected a unidimensional factorial structure in both samples. Furthermore, multigroup CFA showed invariance between clinical and nonclinical unidimensional models, which lends further support to the evidence of the unidimensionality of the BSI. The study suggests that the BSI is a potentially useful measure of general psychological distress in clinical and nonclinical population. Ideas for further research are recommended.

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Sani Isah, Rashidah Mohammad Ibrahim, and Fazida Karim. "VALIDATING THE CONSTRUCTS OF EMPLOYEES’ COMPETENCE MODEL TROUGH CONFIRMATORY FACTOR ANALYSIS: EVIDENCE FROM NIGERIA." International Journal of Economics (IJEC) 2, no. 1 (June 13, 2023): 71–86. http://dx.doi.org/10.55299/ijec.v2i1.396.

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In recent decades, the confirmatory factor analysis (CFA) has been embraced by several scholars in assessing the fitness of measurement model through structural equation modeling procedure. In this study, five variables namely HRM practices (recruitment and selection, training and development, performance appraisal, compensation), psychological empowerment, affective commitment, work engagement, and employee competence were applied in carrying out the CFA. Applying the CFA procedure determines the researcher’s attempt to increase the ability of latent measurement model to be more outlined and précised in drawing conclusions as well as avoiding the violation of regression assumption. It appears more efficient with the use of Cronbach Alpha, Convergent validity, Discriminant Validity and Composite Reliability in the study analysis for the researcher to apply the result for further steps. Hence, findings of this study appear to be more corresponding with the overall aim of the study. Empirically, CFA is an effective tool for ensuring the best fit of measurement model. The inability of the current analysis to carry out the CFA using individual measurement serves as a great limitation. The application of pooled CFA is certainly a key to researchers in the quest to achieve the requirement for measurement model in a study with complex constructs/items. This paper aimed at presenting to the readers particularly those at the beginning stage, the importance of applying pooled CFA in empirical studies by highlighting the findings of the current study.

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Saloom, Gazi, and Muhammad Nurrifqi Fuadi. "Uji Validitas Konstruk Kebencian Menggunakan Confirmatory Factor Analysis." JPPP - Jurnal Penelitian dan Pengukuran Psikologi 10, no. 2 (October 20, 2021): 107–13. http://dx.doi.org/10.21009/jppp.102.06.

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This research was conducted to test the construct validity of hatred. This research uses two hatred dimensions from Halperin et al., (2012), namely chronic hatred and immediate hatred with a total of 13 items. Data obtained from 361 students of UIN Syarif Hidayatullah Jakarta. The analytical method used in this study is Confirmatory Factor Analysis (CFA) with the help of the lisrel program. The results of this study indicate that all items are unidimensional. This means that all items only measure one factor so that the one-factor model theorized in the hatred can be accepted.

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Kahn, Jeffrey H. "Factor Analysis in Counseling Psychology Research, Training, and Practice." Counseling Psychologist 34, no. 5 (September 2006): 684–718. http://dx.doi.org/10.1177/0011000006286347.

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Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) have contributed to test development and validation in counseling psychology, but additional applications have not been fully realized. The author presents an overview of the goals, terminology, and procedures of factor analysis; reviews best practices for extracting, retaining, and rotating factors in EFA; describes issues related to CFA, including potential hypotheses, how parameters are estimated, and current guidelines regarding sample size and the use of fit indices; and reviews more sophisticated applications of CFA, including multiple-groups analysis and testing of hierarchical models. Finally, the author recommends how to increase the application of factor analysis to counseling psychologists’ work in research, training, and practice settings.

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J, Preszler, Elbin RJ, Eagle S, Collins MW, and Kontos AP. "A - 23 Confirmatory Factor Analysis of the Concussion Profile (CP) Screen." Archives of Clinical Neuropsychology 36, no. 4 (May 21, 2021): 663. http://dx.doi.org/10.1093/arclin/acab035.23.

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Abstract Objective The Concussion Profile (CP)-screen is intended to assess symptom domains of concussion, including migraine, vestibular, ocular, mood/anxiety, and cognitive/fatigue domains. The CP-screen was developed to develop more targeted management by identifying presentation profiles. The hypothesized profile structure of the CP-screen has not yet been psychometrically validated. An a priori five-factor structure (migraine; vestibular; ocular; mood/anxiety; cognitive/fatigue) was hypothesized. Methods Three-hundred twenty-three patients (age M = 15.62 ± 4.03 years, 59% male; 74% sport-related) seen within 30 days of concussion (M = 7.58 ± 6.10 days) completed a medical history clinical interview and the CP-screen at their first clinical visit. Multiple confirmatory factor analyses (CFAs) of CP-screen items were estimated (using robust weighted least squares estimation). Results A CFA was completed for each factor separately and then a five-factor CFA was estimated. Model fit was evaluated using the Comparative Fit Index [CFI], Tucker-Lewis Index [TLI], Root Mean Square Error of Approximation [RMSEA], and inspection of model parameters (i.e., loadings, residuals, & factor correlations). The five-factor model had excellent fit, but factor correlations indicated a second-order model was more appropriate. Thus, the final CFA included a five-factor first-order structure, with migraine, ocular, and cognitive/fatigue factors loading onto a second-order factor. All models had good fit (CFI >0.965; TLI > 0.96; RMSEA <0.072), and all loadings were significant and substantial (>0.63). Conclusions This is the first study to provide psychometric support for the profile structure of the CP-screen. These results also provide support for using these profiles to help target management of those with concussions.

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Hoang Hai, Doan. "Determining the effect of factors on human resource development in enterprises by quantitative method: The case of telecommunication of Ho Chi Minh City." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 3 (2023): 1014–21. http://dx.doi.org/10.54660/.ijmrge.2023.4.3.1014-1021.

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This article aims to identify the degree of the effect of factors affecting the human resource development in telecommunication of Ho Chi Minh city. The factors identified in the proposed research model include: recruitment, training and career development, working environment and remuneration policy. The article mainly uses quantitative research methods with tools such as exploratory factor analysis (EFA), Confirmatory factor analysis (CFA) as well as Structural equation modeling SEM. The results of CFA confirmatory factor model analysis and SEM linear structure with 500 data show the appropriateness of the research factor model. From that, a number of appropriate policy implications are proposed for human resource development in telecommunication enterprises in Ho Chi Minh City (HCMC).

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Li, Fuzhong, and Peter Harmer. "Confirmatory Factor Analysis of the Group Environment Questionnaire with an Intercollegiate Sample." Journal of Sport and Exercise Psychology 18, no. 1 (March 1996): 49–63. http://dx.doi.org/10.1123/jsep.18.1.49.

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This study was designed to assess the factorial construct validity of the Group Environment Questionnaire (GEQ; Carron, Widmeyer, & Brawley, 1985) within a hypothesis-testing framework. Data were collected from 173 male and 148 female intercollegiate athletes. Based on Carron et al.’s (1985) conceptual model of group cohesion, the study examined (a) the extent to which the first-order four-factor model could be confirmed with an intercollegiate athlete sample and (b) the degree to which higher order factors could account for the covariation among the four first-order factors. The a priori models of GEQ, including both the first- and second-order factor models, were tested through confirmatory factor analysis (CFA). CFA results showed that the theoretically specified first- and second-order factor models fit significantly better than all alternative models. These results demonstrated that the GEQ possesses adequate factorial validity and reliability as a measure of the sport group cohesion construct for an intercollegiate athlete sample.

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Yudhistira, Santi, Deasyanti Deasyanti, and Fellianti Muzdalifah. "Construct Validity of Unidimensional General Self-Efficacy Using Confirmatory Factor Analysis." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 10, no. 1 (May 1, 2021): 60–66. http://dx.doi.org/10.15408/jp3i.v10i1.17150.

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Self-efficacy is a specific domain which is divided into several aspects (e.g., magnitude, strength, and generality) based on Bandura’s theory. However, many researchers attempt to generalize the concept of self-efficacy to examine personal competence in a broader view. This study aims to test the validity of items on the General Self-Efficacy Scale (GSES), a measuring instrument that was developed by Ralf Schwarzer and designed by Matthias Jerusalem in 1979 to regulate the construction of self-efficacy as a broader concept of personality. This research used the Confirmatory Factor Analysis (CFA) method on 643 students in the Jabodetabek area to test the instrument’s validity and the CFA test results showed that out of the 10 items tested, the written statement is valid to measure the General Self-Efficacy variable.

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Singh, Shailendra, and Abhijit Bhattacharya. "Work Values Scale: A Confirmatory Factor Analytic Study." Asia Pacific Business Review 3, no. 2 (July 2007): 92–101. http://dx.doi.org/10.1177/097324700700300210.

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This paper attempts to address two issues: describe the difference between Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) and to examine whether the factor structure of ‘Work values Scale’ developed by Blood (1969) on U.S. sample holds valid in India. The participants in the study were equitably drawn: 250 junior and middle level managers from seven private and three public sector work organizations of North India. Their age ranged from 28 to 57 years. These executives belonged to wide range of functional areas, including accounts, engineering, personnel, production, quality control, R & D and sales. An attempt was made to represent most of the departments, as far as practicable. The average job experience of the respondents was 11.13 years and their educational qualification was a University or College Graduation or equivalent professional training. The most striking difference between EFA and CFA, is of investigators’ theory. In EFA, the investigator may not have any theoretical hypothesis in mind and may examine, common structure underlying the data. On the other hand, in CFA, investigators have prior information and theoretical basis of hypothesis regarding structure of the data and seek to confirm or reject the hypothesized structure. Based on Blood (1969), we proposed that work values scale will have two factors: Protestant Work Value and Non-Protestant Work Value. Data confirmed two-factor structure solution. Thus, the study suggests that there is a cross-cultural similarity among US and Indian managers on work values scale.

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Canivez, Gary L., Ryan J. McGill, Stefan C. Dombrowski, Marley W. Watkins, Alison E. Pritchard, and Lisa A. Jacobson. "Construct Validity of the WISC-V in Clinical Cases: Exploratory and Confirmatory Factor Analyses of the 10 Primary Subtests." Assessment 27, no. 2 (December 5, 2018): 274–96. http://dx.doi.org/10.1177/1073191118811609.

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Independent exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) research with the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V) standardization sample has failed to provide support for the five group factors proposed by the publisher, but there have been no independent examinations of the WISC-V structure among clinical samples. The present study examined the latent structure of the 10 WISC-V primary subtests with a large ( N = 2,512), bifurcated clinical sample (EFA, n = 1,256; CFA, n = 1,256). EFA did not support five factors as there were no salient subtest factor pattern coefficients on the fifth extracted factor. EFA indicated a four-factor model resembling the WISC-IV with a dominant general factor. A bifactor model with four group factors was supported by CFA as suggested by EFA. Variance estimates from both EFA and CFA found that the general intelligence factor dominated subtest variance and omega-hierarchical coefficients supported interpretation of the general intelligence factor. In both EFA and CFA, group factors explained small portions of common variance and produced low omega-hierarchical subscale coefficients, indicating that the group factors were of poor interpretive value.

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Mubarok, Fikri, and Miftahuddin Miftahuddin. "Uji Validitas Konstruk Psychological Well-Being Scale Dengan Metode Confirmatory Factor Analysis (CFA)." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 7, no. 1 (July 30, 2019): 22–32. http://dx.doi.org/10.15408/jp3i.v7i1.12105.

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Tujuan dari penelitian ini adalah untuk menguji validitas konstruk dari psychological well-being scale. Dalam penelitian ini peneliti menguji enam dimensi psychological well-being dari Ryff (1989) yaitu, self-acceptance, positive relation with others, autonomy, environmental mastery, purpose in life, dan personal growth dengan jumlah 42 item. Subjek penelitian adalah perawat pada salah satu Rumah Sakit di Jakarta Cempaka Putih yang terdiri dari 171 orang. Metode analisis data yang digunakan dalam penelitian ini adalah confirmatory factor analysis (CFA) dengan bantuan software lisrel 8.70. Berdasarkan perhitungan dengan metode CFA dapat disimpulkan bahwa semua dimensi memerlukan modifikasi model pengukuran untuk memperoleh nilai fit. The purpose of this study is to examine construct validity from psychological well-being scale. In this study researchers tested six dimensions of psychological well-being from Ryff (1989), namely, self-acceptance, positive relations with others, autonomy, environmental mastery, purpose in life, and personal growth with a total of 42 items. The research subjects were nurses at one of the hospitals in Jakarta Cempaka Putih consisting of 171 people. The data analysis method used in this study is confirmatory factor analysis (CFA) with the help of lisrel 8.70 software. Based on calculations using the CFA method it can be concluded that all dimensions require modification of the measurement model to obtain a fit value.

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Fadare, Olajide O., William R. Doucette, Caroline A. Gaither, Jon C. Schommer, Vibhuti Arya, Brianne Bakken, David H. Kreling, David A. Mott, and Matthew J. Witry. "Use of the Professional Fulfillment Index in Pharmacists: A Confirmatory Factor Analysis." Pharmacy 9, no. 4 (September 26, 2021): 158. http://dx.doi.org/10.3390/pharmacy9040158.

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Most research on pharmacist professional wellbeing has focused on measuring burnout. However, using valid and reliable instruments to assess professional fulfillment in pharmacists can expand understanding of pharmacists’ professional wellbeing. This study aimed to (1) establish the validity of the Professional Fulfillment Index (PFI) for a sample of pharmacists licensed in the United States (US) using confirmatory factor analysis (CFA), and (2) compare the professional wellbeing of pharmacists across demographics and work settings. Data for this study were obtained from the 2019 National Pharmacy Workforce Survey (NPWS). The survey assessed pharmacist professional wellbeing using the PFI. The model fit of the PFI was assessed using CFA. Multiple linear regression was used to compare pharmacist wellbeing across demographics and work settings. The CFA affirmed that the PFI possesses a satisfactory model fit for use in pharmacists. Regression analysis showed higher burnout (work exhaustion and interpersonal disengagement) was associated with decreasing age, being female, working more hours, and working in a community pharmacy. Higher professional fulfillment was associated with men, and working in non-community pharmacy work settings. The PFI is a psychometrically reliable and valid instrument for assessing the professional wellbeing of pharmacists.

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Hoofs, Huub, Rens van de Schoot, Nicole W. H. Jansen, and IJmert Kant. "Evaluating Model Fit in Bayesian Confirmatory Factor Analysis With Large Samples: Simulation Study Introducing the BRMSEA." Educational and Psychological Measurement 78, no. 4 (May 23, 2017): 537–68. http://dx.doi.org/10.1177/0013164417709314.

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Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures. For increasing sample sizes, however, the applicability of current fit statistics evaluating model fit within Bayesian CFA is limited. We propose, therefore, a Bayesian variant of the root mean square error of approximation (RMSEA), the BRMSEA. A simulation study was performed with variations in model misspecification, factor loading magnitude, number of indicators, number of factors, and sample size. This showed that the 90% posterior probability interval of the BRMSEA is valid for evaluating model fit in large samples ( N≥ 1,000), using cutoff values for the lower (<.05) and upper limit (<.08) as guideline. An empirical illustration further shows the advantage of the BRMSEA in large sample Bayesian CFA models. In conclusion, it can be stated that the BRMSEA is well suited to evaluate model fit in large sample Bayesian CFA models by taking sample size and model complexity into account.

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Saptono, Ari. "Development Instruments Through Confirmatory Factor Analysis (CFA) in Appropriate Intensity Assessment." Dinamika Pendidikan 12, no. 1 (June 1, 2017): 13–19. http://dx.doi.org/10.15294/dp.v12i1.10578.

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The research aims to develop the valid and reliable measurement instruments of entrepreneurship intention in vocational secondary school students. Multi stage random sampling was used as the technique to determine sample (300 respondents). The research method used research and development with confirmatory factor analysis (CFA). Result of confirmatory factor analysis (CFA) at the second order with robust maximum likelihood method shows that valid and reliable instrument with the acquisition value of loading factor is more than 0.5 (> 0,5) and a significance value of t is more than 1,96 (> 1,96). Reliability test results shows that the value of the combined construct reliability (CR) of 0.97and a variance value extract (VE) to 0.52 is greater than the limit of acceptance CR ? 0.70 and VE ? 0.50. The conclusion of the measurement instruments of entrepreneurship intention with three dimensions and 31 items met the standards of validity and reliability in accordance with the instrument development process.

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Husain, T., Maulana Ardhiansyah, and Dedin Fathudin. "Confirmatory factor analysis: Model testing of financial ratio's with decision support systems approach." International Journal of Advances in Applied Sciences 10, no. 2 (June 1, 2021): 115. http://dx.doi.org/10.11591/ijaas.v10.i2.pp115-121.

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The decision support systems approach can be developed into both computer-based and quantitative analysis tools. This research uses a model test with a confirmatory factor analysis (CFA) technique on matrix covariance against SEM methods to measure financial ratios. DSS analysis using numerical calculations aided by mathematical models through six phases. The first three phases of a structured approach to building multivariate models and the next three phases, namely estimation, interpretation, and validation, are developing from data input that has been selected using LISREL Version 8.72. The Financial Ratio's testing model with a CFA approach derived into a mathematical (quantitative) model can explain the complexity of the relationship between the goodness-of-fit models (GOF) with a different approach from prior research. The goodness-of-fit test results in this study produced scores on each of the financial ratio measurement models at an accuracy level of CR of 78.49, TATO of 1.26, DER of 41.41, ROA of minus 0.033, and PBV of 540.92. This means that PBV has the highest standardized loading factors to determine the measurement of Financial Ratio's. The CFA measurement based on SEM can be used to make appropriate decisions and combine a model comparison and redevelopment of the CFA technique and model testing with other software such as SPSS, PLS, AMOS, and others

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Pedroso, Rosemeri, Luciana Zanetello, Luciano Guimarães, Márcia Pettenon, Veralice Gonçalves, Juliana Scherer, Felix Kessler, and Flavio Pechansky. "Confirmatory factor analysis (CFA) of the Crack Use Relapse Scale (CURS)." Archives of Clinical Psychiatry (São Paulo) 43, no. 3 (June 2016): 37–40. http://dx.doi.org/10.1590/0101-60830000000081.

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Alias, Rosima, Mohd Hanapiah Ismail, and Nurhanis Sahiddan. "A Measurement Model for Leadership Skills Using Confirmatory Factor Analysis (CFA)." Procedia - Social and Behavioral Sciences 172 (January 2015): 717–24. http://dx.doi.org/10.1016/j.sbspro.2015.01.424.

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Le, Bao Gia, Hai Thanh Nguyen, Nguyet Thi Minh Tran, and Minh Hoang Nguyen. "CUSTOMER’S SATISFACTION AND LOYALTY TO SERVICE QUALITY OF HOTEL SYSTEM IN VINH LONG PROVINCE." Scientific Journal of Tra Vinh University 1, no. 28 (December 1, 2017): 11–20. http://dx.doi.org/10.35382/18594816.1.28.2017.40.

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This study aims to analyse factors that affect customer’s satisfaction and loyalty about service quality of hotel system in Vinh Long province. The data were collected from294 respondents. The statistical software AMOS, the consistency coefficient measured with Cronbach’s Alpha for scaling test, Exploratory FactorAnalysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) were used for the analysis. The results indicated This study aims to analyse factors that affect customer’s satisfaction and loyalty about service quality of hotel system in Vinh Long province. The data were collected from 294 respondents. The statistical software AMOS, the consistency coefficient measured with Cronbach’s Alpha for scaling test, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) were used for the analysis. The results indicated

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Pristianti, Mila Candra. "Top 100 Cited Research of Confirmatory Factor Analysis (CFA) in Education From 2012 to 2021." International Journal of Current Educational Research 1, no. 1 (June 30, 2022): 68–83. http://dx.doi.org/10.53621/ijocer.v1i1.140.

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The aim of this research is to analyze the trends and future research opportunities related to confirmatory factor analysis in education. This research uses a descriptive bibliometric analysis and literature review to determine research trends. The data in this research used the Scopus database during 2012-2021. Data in form .CSV was analyzed using Ms. Excel and data in form .RIS was analyzed using VOSviewer. The conclusion from this research are the trend of research on this topic has increased every year in the last ten years. The most widely used keyword is confirmatory factor analysis. Research related to CFA in education has a wide and good opportunity to be carried out for several reasons including: (1) the trend shows a good graph and continues to increase; (2) the number of citations per paper per year shows a number with a high average; (3) From many studies, it is stated that CFA has a contribution in educational research. For future research, we can focus on discussing CFA in a multidisciplinary manner or discussing CFA trends in education using databases other than Scopus.

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Syah, Muhammad Fahmi Johan, Sharul Effendy Janudin, and Mahaliza Mansor. "CONFIRMATORY FACTOR ANALYSIS (CFA) OF THE ACCOUNTING TEACHER PROFESSIONAL IDENTITY SCALE (ATPIS)." Jurnal Pendidikan Ilmu Sosial 32, no. 2 (December 15, 2022): 155–72. http://dx.doi.org/10.23917/jpis.v32i2.20260.

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This study aims to test the ATPIS which has previously been developed using exploratory Factor Analysis (EFA). This scale consists of five latent factors with 23 manifest variable items. The target population is Indonesian accounting teachers in Central Java who are members of the Accounting Subject Teachers' Conference (MGMP), totaling 1747 people. From the total population, 351 respondents were selected. The data analysis technique of this research was CFA and model fit analysis. The results showed that the proposed model was proven to be valid where the ATPI loading factor for the five factors had a value of more than 0.70. In contrast, the latent sub-construct variable in the manifest variable had a loading factor of more than 0.50. Revision of the model was done by eliminating one latent variable, APC3, a manifest variable from active in professional communities. The results of the model revision indicated that the overall loading factor value increased with the better model fit. Therefore, this ATPIS can be utilized as an instrument to measure the professional identity of accounting teachers. Nevertheless, it is still possible to develop a revised version of ATPIS with several new sub-construct latent variables that have not been tested.

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Molina, Jonatan, Mateu Servera, and G. Leonard Burns. "Structure of ADHD/ODD Symptoms in Spanish Preschool Children: Dangers of Confirmatory Factor Analysis for Evaluation of Rating Scales." Assessment 27, no. 8 (April 2, 2019): 1748–57. http://dx.doi.org/10.1177/1073191119839140.

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Confirmatory factor analysis (CFA) is often used to evaluate attention-deficit/hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) symptom ratings by parents and teachers. An ADHD-inattention (IN), ADHD-hyperactivity/impulsivity (HI), and ODD three-factor model is usually the best model. Acceptable CFA models, however, can hide symptoms with poor convergent and discriminant validity. To demonstrate this issue, CFA models (i.e., cross-loadings set to zero) along with exploratory CFA models (i.e., cross-loadings allowed) were applied to parent ( n = 308) and teacher ( n = 258) ratings of ADHD/ODD symptoms with Spanish preschool children ( Mage = 4.78, SD = .84, 56% boys). While the three-factor CFA model provided an acceptable-fit with moderate to substantial symptom-factor loadings, the three-factor exploratory CFA model, however, found a large number of the symptoms failed to show convergent and discriminant validity. These outcomes argue for the use of exploratory CFA procedures in the initial evaluation of ADHD/ODD rating scales.

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Kim, Hyunho, Boncho Ku, Jong Yeol Kim, Young-Jae Park, and Young-Bae Park. "Confirmatory and Exploratory Factor Analysis for Validating the Phlegm Pattern Questionnaire for Healthy Subjects." Evidence-Based Complementary and Alternative Medicine 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/2696019.

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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.

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DiStefano, Christine, Heather L. McDaniel, Liyun Zhang, Dexin Shi, and Zhehan Jiang. "Fitting Large Factor Analysis Models With Ordinal Data." Educational and Psychological Measurement 79, no. 3 (December 29, 2018): 417–36. http://dx.doi.org/10.1177/0013164418818242.

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A simulation study was conducted to investigate the model size effect when confirmatory factor analysis (CFA) models include many ordinal items. CFA models including between 15 and 120 ordinal items were analyzed with mean- and variance-adjusted weighted least squares to determine how varying sample size, number of ordered categories, and misspecification affect parameter estimates, standard errors of parameter estimates, and selected fit indices. As the number of items increased, the number of admissible solutions and accuracy of parameter estimates improved, even when models were misspecified. Also, standard errors of parameter estimates were closer to empirical standard deviation values as the number of items increased. When evaluating goodness-of-fit for ordinal CFA with many observed indicators, researchers should be cautious in interpreting the root mean square error of approximation, as this value appeared overly optimistic under misspecified conditions.

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Freitas, Noélle de Oliveira, Marina Paes Caltran, Suleimy C. Mazin, Rosana Aparecida Spadoti Dantas, and Lidia Aparecida Rossi. "Confirmatory Factor Analysis and Reliability of the Burn Specific Health Scale–Revised in Brazilian Burned Patients." Journal of Nursing Measurement 26, no. 3 (December 2018): 425–34. http://dx.doi.org/10.1891/1061-3749.26.3.425.

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Background and Purpose: The aim of the study was to analyze the factor structure and the reliability of the Brazilian-Portuguese version of the Burn Specific Health Scale—Revised (BSHS-R) in a sample of Brazilian burned adults. Methods: This study was a cross-sectional study. The internal consistency was analyzed using Cronbach’s α, considering coefficients ≥.70 as appropriate. We conducted confirmatory factor analysis (CFA) to test the hypothesis that the BSHS-R Brazilian-Portuguese version has a factor structure similar to the original. We assessed the factor structure of the BSHS-R Brazilian-Portuguese version by CFA, examining three models: three-factor, six-factor, and seven-factor structure. Results: The participants were 299 burned adults. The CFA indicated good model fit indices for the seven-factor model (root mean square error of approximation = .062; goodness-of-fit index = .844; adjusted goodness-of-fit index = .809; Akaike information criterion = 1,054.06). The seven-factor BSHS-R Brazilian-Portuguese version showed Cronbach’s α of .93. Conclusions: The BSHS-R Brazilian-Portuguese version with seven factors is reliable and valid and measures the perceived health status construct.

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Bouih, Abdelouahed, Driss Benattabou, Bendaoud Nadif, Mohamed Benhima, and Ismail Benfilali. "The Rosenberg Self-esteem Scale: A Confirmatory Factor Analysis Study." European Journal of Psychology and Educational Research 5, no. 2 (December 15, 2022): 143–60. http://dx.doi.org/10.12973/ejper.5.2.143.

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The aim of the present study is to conduct a confirmatory factor analysis (CFA) of the Rosenberg Self-esteem Scale (RSES) as part of the study of affective variables using a sample of English as a foreign language (EFL) university students in Morocco. Two hundred and six (N = 206) participants of undergraduate, graduate, and post-graduate levels completed the self-esteem (SE) questionnaire. Using classical methods of factor extraction before employing more robust techniques comprising minimum average partial (MAP) and parallel analysis (PA) to perform preliminary factor analysis (FA) using principal axis factoring (PAF), results conclusively and parsimoniously yielded a one-factor solution with acceptable construct reliability (Composite Reliability). CFA results, including goodness-of-fit indexes, confirmed that the one-factor model was better fitting compared to its competing independent two-factor counterpart, but marginally less so compared to the correlated version of the latter. Two out of the three constructed models showed good fit indexes, thus demonstrating the conformity of two measurement models with their respective hypothesized structural models. Furthermore, using the heterotrait-monotrait (HTMT) ratio, both two-factor models showed acceptable discriminant validity. The obtained results further corroborate both the one-factor and two-factor solutions reported in previous works for which we present new evidence from a Moroccan EFL context.

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Hariono, Awan. "Validitas dan Reliabilitas Konstruk Instrumen Asesmen Keterampilan Bermain Korfball Menggunakan Analisis Exploratory Factor Analysis dan Confirmatory Factor Analysis." Jorpres (Jurnal Olahraga Prestasi) 17, no. 1 (January 30, 2021): 84–89. http://dx.doi.org/10.21831/jorpres.v17i1.37173.

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Penelitian ini bertujuan untuk mengembangkan validitas konstruk dan reliabilitas konstruk penilaian keterampilan bermain korfball. Penelitian ini merupakan penelitian dan pengembangan yang menerapkan model pengembangan yang dimodifikasi dari Strand Wilson. Instrumen utama yang digunakan adalah lembar kontrol kinerja yang digunakan untuk mengamati keterampilan bermain korfball. Analisis data dilakukan dengan teknik Exploratory Factor Analysis (EFA) yang dilanjutkan dengan teknik Confirmatory Factor Analysis (CFA) sehingga menjadi instrumen yang baik untuk melakukan observasi keterampilan bermain korfball. Hasilnya adalah sebagai berikut. Instrumen yang digunakan untuk mengukur keterampilan bermain korfball dinilai valid, reliabel, dan memenuhi kriteria instrumen baik yang menunjukkan bahwa model asesmen yang dikembangkan sesuai dengan data yang sebenarnya. Validity and reliability of the instrument construction skills assessment of korfball using exploratory factor analysis and confirmatory factor analysis AbstractThis research aims to develop construct validity and construct reliability of korfballball-playing skill assessment. This research is research and development applying the modified development model of Strand Wilson. The performance control sheets are used as the main instrument, employed to observe the korfball-playing skills. The data were analyzed using the Exploratory Factor Analysis (EFA) technique which is prolonged by the Confirmatory Factor Analysis (CFA) technique to make a good instrument for performing korfball-playing skills observation. The result is as follows. The instrument used to measure korfball-playing skill is considered valid, reliable, and meets the criteria of a good instrument which shows that the developed assessment model is fit to the actual data.

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Sulistiawan, Agus, Erita Yuliasesti Diahsari, and Nina Zulida Situmorang. "Validity and Reliability of Organizational Commitment using Confirmatory Factor Analysis (CFA) / Validitas dan Reliabilitas Komitmen Organisasi Menggunakan Confirmatory Analisis Faktor (CFA)." Psikoislamika : Jurnal Psikologi dan Psikologi Islam 17, no. 2 (December 28, 2020): 132–42. http://dx.doi.org/10.18860/psikoislamika.v17i2.10526.

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Ruiz, Percy, Denis Cunza-Aranzábal, Michael White, Dámaris Quinteros-Zúñiga, Jania Jaimes-Soncco, and Wilter Morales-García. "Psychometric properties of the Trait Meta-Mood Scale for measuring emotional intelligence in Peruvian students." Behavioral Psychology/Psicología Conductual 30, no. 2 (September 9, 2022): 447–63. http://dx.doi.org/10.51668/bp.8322207n.

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The aim of this study was to analyze the psychometric properties of the Trait Meta-Mood Scale (TMMS-24) for measuring emotional intelligence in Peruvian students. A total of 699 Peruvian students participated. An exploratory factor analysis (EFA) was performed with 210 students and a confirmatory factor analysis (CFA) was performed with 489 students. The Spanish version of the TMMS-24 scale was used. A descriptive analysis of the items was made. The exploratory factor analysis (EFA) was performed with the unweighted least squares estimation method with promin oblique rotation, and the confirmatory factor analysis (CFA) was performed through the modeling of structural equations. Internal consistency was estimated with the ordinal a coefficient. The EFA yielded a three-factor structure and the correlations between factors were high (between .530 to .689). With the CFA, adequate goodness-of-fit indices are observed (χ2= 385.868, TLI= .963, CFI= .967, RMSEA= 0.034, SRMR= .041). The α-ordinal coefficient shows adequate internal consistency (α= .93). The TMMS-24 presents good psychometric properties for measuring emotional intelligence in Peruvian students.

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Mirza, Munazza A., Khawar Khurshid, Zawar Shah, Imdad Ullah, Adel Binbusayyis, and Mehregan Mahdavi. "ILS Validity Analysis for Secondary Grade through Factor Analysis and Internal Consistency Reliability." Sustainability 14, no. 13 (June 29, 2022): 7950. http://dx.doi.org/10.3390/su14137950.

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In differentiated learning, the teacher needs to be aware of the learning styles of students in the classroom to accommodate specific learning preferences, e.g., the Felder–Silverman learning style model. The corresponding instrument, i.e., the Felder–Silverman Index of Learning Style (ILS), was designed to assess learning styles, specifically for engineering students. The ILS has been tested at the middle school level to identify the learning styles; however, validity/reliability had not been established in earlier studies with large samples. The focus of this study was to identify the validity and reliability of an ILS instrument for middle school students (N=450) by investigating the factor structure through factor analysis. This includes internal consistency reliability and constructing validity report of the ILS. An exploratory and confirmatory factor analysis was undertaken to investigate the factor structure to establish validity. As a result of the study, the reliability of the instrument was established. Five-factors emerged through exploratory factor analysis (EFA), which were subjected to confirmatory factor analysis (CFA). The outcome provided five-factors (i.e., Comparative Fit Index (CFI), Tucker–Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), Standardized Root Mean Residual (SRMR), and Goodness of Fit (GFI)), out of which four factors were related to the four dimensions of the Felder–Silverman model, and the fifth factor was related to the association of sensing/intuitive and sequential/global dimensions of the model, which is in agreement with the theoretical construct of ILS. As a result of CFA, ILS entailing 24 items indicates a good fit with five-factor structure. CFI=0.922;TLI=0.927; RMSEA=0.026; SRMR=0.585;GFI=0.911;X2=277;df=42;p=0.60. This study suggests that the ILS for the secondary-grade students needs to be revised with fewer items to improve the reliability, as supported by empirical evidence through the EFA and CFA.

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Moyo, Patience, Ting-Ying Huang, Linda Simoni-Wastila, and Donna Harrington. "Exploratory and Confirmatory Factor Analyses of Delirium Symptoms in a Sample of Nursing Home Residents." Journal of Applied Gerontology 37, no. 2 (March 22, 2016): 228–55. http://dx.doi.org/10.1177/0733464816633859.

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Objective: This study examined the latent constructs of delirium symptoms among nursing home (NH) residents in the United States. Method: Cross-sectional NH assessment data (Minimum Data Set 2.0) from the 2009 Medicare Current Beneficiary Survey were used. Data from two independent, randomly selected subsamples of residents ≥65 years were analyzed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: There were 367 and 366 individuals in the EFA and CFA, respectively. Assessment of multiple model fit statistics in CFA indicated that the two-factor structure provided better fit for the data than a one-factor solution. The two factors represented cognitive and behavioral latent constructs as suggested by the related literature. A correlation of .72 between these constructs suggested moderate discriminant validity. Conclusion: This finding emphasizes the importance of health care providers to be attentive to both cognitive and behavioral symptoms when diagnosing, treating, and managing delirium.

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Rasmussen, Andrew, Jay Verkuilen, Nuwan Jayawickreme, Zebing Wu, and Sydne T. McCluskey. "When Did Posttraumatic Stress Disorder Get So Many Factors? Confirmatory Factor Models Since DSM–5." Clinical Psychological Science 7, no. 2 (December 20, 2018): 234–48. http://dx.doi.org/10.1177/2167702618809370.

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For over three decades confirmatory factor analysis (CFA) has been used to test the construct validity of models of posttraumatic stress disorder (PTSD). The four symptom dimensions of PTSD in the fifth edition of Diagnostic and Statistical Manual of Mental Disorders ( DSM–5) are based on CFA. Since the publication of DSM–5, the number of proposed factors has grown from four to seven. We review these models, focusing on (a) the number of symptoms per factor, indicating how well factors are identified; (b) correlations between factors, indicating how distinct they are; and (c) their external validation. Of the 27 CFAs published since 2013, almost all included factors composed of only two symptoms, and most relied on more than one. High factor correlations were the norm. Two thirds of models provided external validation. Discussion concerns implications for PTSD’s measurement and construct validity and recommendations for improving CFA in the PTSD literature.

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Awwad, Waleed M., Nouf H. Alabdulkarim, and Nojood E. Alhaidri. "Exploratory and confirmatory factor analysis of the Arabic neck disability index: A cross-sectional study." Journal of Musculoskeletal Surgery and Research 5 (July 31, 2021): 171–77. http://dx.doi.org/10.25259/jmsr_54_2021.

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Objectives: Neck pain is the fourth leading cause of disability. The most common validated tool assessing its effect on the participant’s functional status is the neck disability index (NDI). We aimed to investigate the factorial structure of the Arabic NDI (NDI-Ar) using exploratory and confirmatory factor analysis (CFA) in a multioccupational sample. Methods: A cross-sectional study conducted in Saudi Arabia. A total of 641 participants completed the NDI-Ar. The Cronbach’s alpha test was used to test the reliability of the questionnaire. Exploratory factor analysis (EFA) was used to assess the existing factor structure within the 10-indicator NDI questionnaire. Parallel analysis (PA) and scree plot with the unidimensional congruence test, mean of item residual absolute loadings test, and explained common variance test were used to assess the number of the extractable factors and their unidimensionality. CFA was also carried out. Results: EFA of the NDI-Ar suggested the presence of two-factor solutions. However, the analysis with the tests of closeness to unidimensionality, PA tests, and the more rigorous CFA indicated that the two-factor solutions were not tenable, and a single latent factor solution is a better fit with the observed data measured on Middle Eastern people. Conclusion: The present study explored the factorial structure of the NDI-Ar. The two-factor solutions were not tenable and a single latent factor solution might be a better fit.

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Lim, Young-Jin. "Exploratory Structural Equation Modeling Analysis of the Social Network Site Use Motives Scale." Psychiatry Investigation 19, no. 2 (February 25, 2022): 146–53. http://dx.doi.org/10.30773/pi.2021.0092.

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Objective Social Network Site Use Motives Scale (SUMS) was developed under the assumption that it consists of six factors, but only four factors were extracted as a result of Exploratory Factor Analysis. The goal of the present study was to investigate whether SUMS consists of four or six factors using Confirmatory Factor Analysis (CFA) and Exploratory Structural Equation Modeling (ESEM) approach.Methods A Korean college student sample (n=600; mean age, 21 years; 58% female) filled out the SUMS and the Social Network Site Addiction Proneness Scale. CFA and ESEM were used to assess the factor structure of the SUMS.Results Results indicated that a four-factor solution to the SUMS had inadequate fit in the sample examined using both CFA and ESEM and a six-factor solution to the SUMS had insufficient fit using CFA, whereas fit was optimal using ESEM for the six-factor model. In addition, the scale showed adequate convergent validity and reliability.Conclusion These findings support the six-factor model of SNS use motives and suggest that ESEM is a more appropriate method than CFA for examining the factor structure of the SUMS. The results displayed the usefulness of the ESEM framework in the investigation of use motives.

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Nurfaizin, Nurfaizin. "Uji Validitas Konstruk Self Control Terhadap Prokrastinasi Akademik Dengan Metode Confirmatory Factor Analysis (CFA)." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 7, no. 1 (July 30, 2019): 41–48. http://dx.doi.org/10.15408/jp3i.v7i1.12107.

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AbstrakTujuan dari penelitian ini adalah untuk menguji validitas konstruk dari self-control yang digunakan sebagai alat ukur yang berhubungan dengan prokrastinasi akademik. Dalam penelitian ini adalah menggungankan lima aspek dari Sarafino (dalam Averill,1973) yaitu: 1. Behavior control, 2. Cognitive control, 3. Decisional control, 4. Informationl control, 5. Retrospective control. Dengan 45 item subjek penelitian ini adalah mahasiswa UIN Syarif Hidayatullah Jakarta dari 2006-2008 yang sedang menyusun skripsi, jumlah sampel dalam penelitian ini sebanyak 122 orang. Metode analisis data yang digunakan dalam penelitian ini adalah confirmatory factor analysis (CFA) dengan bantuan software lisrel 8.70. Berdasarkan perhitungan dengan metode CFA dapat disimpulkan bahwa semua dimensi memerlukan modifikasi model pengukuran untuk memperoleh nilai fit. The purpose of this study was to examine the construct validity of self-control which was used as a measurement tool related to academic procrastination. In this study, the five aspects of Sarafino were incorporated (in Averill, 1973), namely: 1. Behavior control, 2. Cognitive control, 3. Decisional control, 4. Information control, 5. Retrospective control. With 45 items the subject of this study were students of Syarif Hidayatullah State Islamic University Jakarta from 2006-2008 who were preparing a thesis, the number of samples in this study were 122 people. The data analysis method used in this study is confirmatory factor analysis (CFA) with the help of lisrel 8.70 software. Based on calculations using the CFA method it can be concluded that all dimensions require modification of the measurement model to obtain a fit value.

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Sudirman, Amalia Ridha, and Rena Latifa. "Validitas Konstruk dari Multidimensional Measure of Islamic Spirituality (MMS) Menggunakan Metode Confirmatory Factor Analysis (CFA)." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 8, no. 2 (November 26, 2019): 69–77. http://dx.doi.org/10.15408/jp3i.v8i2.13402.

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AbstractThis study aims to examine validity of items in Multidimensional Measure of Islamic Spirituality (MMS) scale which was first formulated by Dasti and Sitwat (1988). There are eight aspects of Islamic spirituality in this construct, namely: 1) quest and search for divinity, 2) feelings of connectedness with Allah, 3) self discipline, 4) anger-expansive, 5) self-aggrandizement, 6) meanness-generosity, 7) tolerance-intolerance, and 8) Islamic practices. Through 199 participants who are Moslem women and used to live in big cities, we conducted the validity of measuring instruments by using Confirmatory Factor Analysis (CFA) method and assisted by software Lisrel 8.7. CFA test results show that MMS scale that has been adapted into 46 items is valid. AbstrakPenelitian ini bertujuan untuk menguji validitas item dalam skala Multidimensional Measure of Islamic Spirituality (MMS) yang pertama kali dirumuskan oleh Dasti dan Sitwat (1988). Ada delapan aspek kerohanian Islam dalam konstruksi ini, yaitu: 1) pencarian keilahian, 2) perasaan terhubung dengan Allah, 3) disiplin diri, 4) kemarahan-ekspansif, 5) peningkatan diri, 6) kejelekan -generositas, 7) toleransi-intoleransi, dan 8) praktik Islam. Melalui 199 responden yang tinggal di kota-kota besar, kami melakukan validitas alat ukur dengan menggunakan metode Confirmatory Factor Analysis (CFA). Hasil tes CFA menunjukkan bahwa skala MMS yang telah diadaptasi menjadi 46 item valid.

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Baharum, Hafidza, Aniza Ismail, Zainudin Awang, Lisa McKenna, Roszita Ibrahim, Zainah Mohamed, and Nor Haty Hassan. "The Study Adapted Instruments Based on Confirmatory Factor Analysis (CFA) to Validate Measurement Models of Latent Constructs." International Journal of Environmental Research and Public Health 20, no. 4 (February 6, 2023): 2860. http://dx.doi.org/10.3390/ijerph20042860.

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A long-established approach, Confirmatory Factor Analysis (CFA) is used to validate measurement models of latent constructs. Employing CFA can be useful for assessing the validity and reliability of such models. The study adapted previous instruments and modified them to suit the current setting. The new measurement model is termed NENA-q. Exploratory factor analysis (EFA) revealed the instruments of the NENA-q model formed a construct of the second order with four dimensions, namely organizational contribution (OC), academic institution contribution (AIC), personality traits (PT), and newly employed nurses’ adaptation (NENA). Researchers administered the questionnaires to a sample of 496 newly employed nurses working in hospitals under the Ministry of Health (MOH) for the confirmation of the extracted dimensions. The study performed a two-step CFA procedure to validate NENA-q since the model involves higher-order constructs. The first step was individual CFA, while the second step was pooled CFA. The validation procedure through confirmatory factor analysis (CFA) found the model achieved the threshold of construct validity through fitness index assessment. The model also achieved convergent validity when all average variance extracted (AVE) exceeded the threshold value of greater than 0.5. The assessment of the composite reliability (CR) value indicates all CR values exceeded the threshold value of 0.6, which indicates the construct achieved composite reliability. Overall, the NENA-q model consisting of the OC construct, AIC construct, PT construct, and NENA construct for CFA has met the fitness indexes and passed the measurements of the AVE, CR, and normality test. Once the measurement models have been validated through CFA procedure, the researcher can assemble these constructs into structural model and estimate the required parameter through structural equation modelling (SEM) procedure.

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Journal articles on the topic 'Confirmatory factor analysis (CFA)'

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