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Relevant bibliographies by topics / Confirmatory factor analysis (CFA)

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Academic literature on the topic 'Confirmatory factor analysis (CFA)'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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Journal articles on the topic "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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<p>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.</p>

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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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<span>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), χ<sup>2</sup>/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. </span>

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Dissertations / Theses on the topic "Confirmatory factor analysis (CFA)"

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Edington, Joy Lynn. "Investigating the Stability of Bootstrapped Confirmatory Factor Analysis Estimates for Multiple Dimensions of the 2010 National Youth Nutrition and Physical Activity Study using Linear Structural Relations (LISREL)." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343847941.

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Al-Jalahma, Rashed. "Impact of organization culture on TQM implementation barriers." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/8554.

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This study examines the relationship between organisational culture and TQM implementation barriers to gain a more comprehensive understanding of the factors affecting TQM implementation. For TQM implementation to take root effectively, the critical role of organisational culture is widely recognised. The existence of pitfalls and obstacles (barriers) to implementing TQM is also widely recognized, as is the importance of understanding these TQM implementation barriers. Nevertheless, whilst many TQM implementation models and frameworks have been designed and proposed, no study has been located in the literature that has systematically examined the relationship between organisational culture and TQM implementation barriers. This theoretical lapse in the TQM literature necessitates an investigation of the direction and significance of the relationship which can help in devising more informed TQM implementation models. In this context, a quantitative research methodology was adopted to examine the profiles of organisational culture and of TQM implementation barriers in organisations in Bahrain and to examine the relationship between these variables. Bahrain is presently going through a rapid expansion in quality management system adoption. Accordingly, the research uses four constructs of organisational culture as independent variables and six constructs of TQM implementation barriers identified through the literature as dependent variables. A set of hypotheses was developed describing the expected relationships between these two sets of variables. The study adopted a positivist, deductive approach using an online survey questionnaire to obtain quantitative data for hypothesis testing. The research instrument was assessed for validity and reliability through structured interviews. Responses to the survey were obtained from 325 organisations located in Bahrain. Analysis of Moment Structure (AMOS) version 16.0 was used to test the measurement model using Confirmatory Factor Analysis (CFA), and to test the structural model using Structural Equation Modelling (SEM). Both models showed a very good fit to the data, with good construct validity and reliability. The findings of the study showed that group culture, which is believed to be an ‘ideal’ culture for TQM implementation helps decrease employee barriers, information barriers and customer related barriers as predicted. However group culture wasn’t found to help decrease top management barriers. Rational culture was found to decrease top management barriers as predicted but it wasn’t found to help decrease employee and customer barriers. The findings confirm the significant impact of hierarchical culture in the Bahrain context in decreasing planning and process management barriers. Developmental culture’s potential to lower employee and customer barriers was observed but was not found to be statistically significant. This research makes several contributions in both academic and practical terms. Theoretically, positioning organisational culture as an antecedent of TQM implementation barriers, this study is the first holistic approach that attempts to empirically investigate which type of organisational culture is related to which TQM implementation barriers. Understanding the nature, strength and direction of these relationships can help to inform and support future TQM implementation attempts. Practically, this research will benefit organisations who have not been able to fully realise TQM, or who are in the process of planning the introduction of TQM. The findings of the study can help Bahraini organisations to realise the long term quality objectives of the Bahrain Centre of Excellence’s Vision 2030 programme. Furthermore, the study has contributed a new empirically tested scale for measuring TQM implementation barriers - a valuable tool on its own, or in conjunction with the organisational culture profile assessment tool - for both practitioners wishing to examine their readiness for TQM or progress in creating a TQM ethos, and for future researchers wishing to extend our understanding of the influence of TQM barriers and/or culture on major organisational improvement interventions. It is expected that replication of this study in other countries and regions with different culture and context may help in developing an improved model of TQM implementation. Implications for managers and future research are advanced.

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Poznyak, Dmytro. "The American Attitude: Priming Issue Agendas and Longitudinal Dynamic of Political Trust." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1342715776.

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Sanguras, Laila Y. "Construct Validation and Measurement Invariance of the Athletic Coping Skills Inventory for Educational Settings." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984216/.

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The present study examined the factor structure and measurement invariance of the revised version of the Athletic Coping Skills Inventory (ACSI-28), following adjustment of the wording of items such that they were appropriate to assess Coping Skills in an educational setting. A sample of middle school students (n = 1,037) completed the revised inventory. An initial confirmatory factor analysis led to the hypothesis of a better fitting model with two items removed. Reliability of the subscales and the instrument as a whole was acceptable. Items were examined for sex invariance with differential item functioning (DIF) using item response theory, and five items were flagged for significant sex non-invariance. Following removal of these items, comparison of the mean differences between male and female coping scores revealed that there was no significant difference between the two groups. Further examination of the generalizability of the coping construct and the potential transfer of psychosocial skills between athletic and academic settings are warranted.

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Michael, Steven T. "Attributional style : a confirmatory factor analysis." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/770937.

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The purpose of the current study was to investigate three aspects of the construct validity of attributional style assessment instruments. The first purpose was to determine the independence of stability and globality. The second was to determine if controllability was a dimension of attributional style. The third purpose was to determine if inventories that use real or hypothetical events measure attributional style equally well. One hundred fifty-nine female, and one hudred fifty-five male subjects, completed four questionnaires that assessed attributional style. Results provided some support for the general construct of attributional style. All four factors were found, which demonstrates the support for the four factor model. However, the two factor model may be the best overall method. No method factor (real or hypothetical stimulus event) solution was obtained. Possible sex differences are discussed. The findings are discussed in terms of attribution theory. Suggestions for further research are presented.
Department of Psychological Science

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Stuive, Ilse. "A comparison of confirmatory factor analysis methods: oblique multiple group method versus confirmatory common factor method." [S.l. : Groningen : s.n. ; University Library of Groningen] [Host], 2007. http://irs.ub.rug.nl/ppn/305281992.

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Rogers, Ann Kathleen. "Confirmatory factor analysis of three models of attention." Virtual Press, 1995. http://liblink.bsu.edu/uhtbin/catkey/1019479.

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The latent variable structure of the Wide Range Assessment of Memory and Learning (WRAML) test (Sheslow & Adams, 1990) has been suggested to contain an attention factor comprised of the subtests: Finger Windows, Number/Letter, and Sentence Memory. The multidimensional nature of the attention construct has not been addressed in previous studies with the WRAML. The present investigation was designed to investigate the relationship between the WRAML subtests and a diverse battery of attention tests. Three competing latent variable models of the attention construct were developed in which the WRAML subtests were hypothesized to be affected by different components of attention. The battery, administered to 120 males between 9 and 14 years of age consisted of the WRAML subtests, Digit Span, Arithmetic, Coding, Trails A, Trails B, Category Test, Speech Sounds Perception Test, Wisconsin Card Sorting Test, and a Continuous Performance Test.Significant correlations were obtained between all the tests in the battery. Confirmatory factor analysis results suggested that a four factor model of attention (Focus-Execute, Shift, Sustain, Encode) similar to that obtained by Mirsky and others, (1991) was the best data fit. The WRAML subtests were affected by the Encode element of attention in the current analysis.
Department of Educational Psychology

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Rossouw, Annelle. "Confirmatory factor analysis of the collective self esteem scale." Diss., University of Pretoria, 2010. http://hdl.handle.net/2263/30540.

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Self-esteem and measurement thereof is a very prominent phenomenon in psychology and related fields of study. In contrast to traditional measures of selfesteem which focus on individual self-esteem, Luhtanen and Crocker (1992) developed a measure of Collective self-esteem (CSE) with the following subscales: membership self-esteem, private collective self-esteem, public collective self-esteem and importance to identity. The aim of this study was to determine if the instrument is a valid measurement of collective self-esteem in the South African context. The CSE was evaluated using item analysis and confirmatory factor analysis. According to the findings of this study the Collective Self Esteem Scale is a reliable instrument for South African use, but confirmatory factor analysis determined that it is not factorially valid. The fit indexes indicate that the theorized four-factor model is not a good fit to the data in the South African context and should pave the way for further research on the construct validity of the Collective Self esteem Scale. Copyright 2010, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. Please cite as follows: Rossouw, A 2010, Confirmatory factor analysis of the collective self esteem scale, MCom dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-02212012-122435 / > C12/4/134/gm
Dissertation (MCom)--University of Pretoria, 2010.
Human Resource Management
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Valtinson, Gale Rene. "A multi-sample confirmatory factor analysis of work-family conflict." Virtual Press, 1998. http://liblink.bsu.edu/uhtbin/catkey/1115719.

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The large-scale entrance of women into the workforce over the past two decades has fundamentally changed the nature of work and family life. This trend has been associated with a constellation of emerging challenges and conflicts in balancing work and family spheres. Gutek, Searle, and Klepa (1991) developed two models for explaining work-family conflict. The Rational Model proposed that workfamily conflict is directly proportionate to the amount of time one spends in work and family activities. The Gender Role Model proposed that work-family conflict is moderated by gender role socialization, in that men are predicted to experience greater work-family conflict when family responsibilities interfere with their career, whereas women are predicted to experience greater conflict when their career interferes with their family responsibilities. To date, models of work-family conflict have been largely derived from White samples, and it has not been established that our models can be generalized across culture. Distinct cultural histories between Black and White women suggest potential differences in how work-family conflict is experienced across ethnicity.The purpose of this study was to test a measure of work-family conflict for invariance across ethnicity. Participants were 111 Black and 119 White, married, middle-income mothers with dependent children who worked outside of the home on a full-time basis. It was hypothesized that Gutek et al.'s (1991) measure of work-family conflict would demonstrate variance across ethnicity. The study further extended Gutek's research by hypothesizing that White women would experience greater work-family conflict when work interfered with family responsibilities than the reverse, and that Black women would be equally sensitive to interference with either domain. Results of a multi-sample confirmatory factor analysis failed to confirm the hypothesis of construct bias or the prediction that White women would be more sensitive to work interference with family life than the reverse. The results of this study supported the prediction that among Black women, there would be no differences in the relationship between family interference with work and work interference with family on total work-family conflict. Limitations of the present study and implications for future research were discussed.
Department of Counseling Psychology and Guidance Services

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Alarcon, Gene Michael. "The Relationship between Burnout and Engagement: A Confirmatory Factor Analysis." Wright State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=wright1187021596.

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Books on the topic "Confirmatory factor analysis (CFA)"

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Sutarto, Auditya. Learn to Perform Confirmatory Factor Analysis (CFA) in R With Data From Work From Home (2020). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Inc., 2023. http://dx.doi.org/10.4135/9781529666540.

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Angell, Rob. Learn to Perform a Confirmatory Factor Analysis (CFA) in SPSS AMOS With Data From the International Sponsorship Study (2016). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469618.

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Confirmatory factor analysis. New York, N.Y: Oxford University Press, 2009.

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Thompson, Bruce. Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington: American Psychological Association, 2004. http://dx.doi.org/10.1037/10694-000.

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A primer of LISREL: Basic applicationsand programming for confirmatory factor analytic models. New York: Springer-Verlag, 1989.

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Byrne, Barbara M. A primer of LISREL: Basic applications and programming for confirmatory factor analytic models. New York: Springer-Verlag, 1989.

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Zimmer, Catherine. Learn to Perform Confirmatory Factor Analysis in Stata With Data From the General Social Survey (2016). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781529700091.

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Angell, Rob. Learn to Test for Metric Invariance Using Multi-Group Confirmatory Factor Analysis (MGCFA) in SPSS AMOS With Data From the International Sponsorship Study (2016). 1 Oliver's Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526469625.

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Shevlin, Mark. Exploratory and confirmatory factor analysis in clinical and health psychology. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780198527565.003.0019.

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This chapter focuses on exploratory and confirmatory factors analysis (CFA) in clinical and health psychology. It discusses the factor analysis model, how health and clinical psychologists use factor analysis, exploratory factor analysis (EFA), and CFA.

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Tran, Thanh V., Tam Nguyen, and Keith Chan. Assessing and Testing Cross-Cultural Measurement Equivalence. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.003.0004.

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A cross-cultural comparison can be misleading for two reasons: (1) comparison is made using different attributes and (2) comparison is made using different scale units. This chapter illustrates multiple statistical approaches to evaluating the cross-cultural equivalence of the research instruments: data distribution of the items of the research instrument, the patterns of responses of each item, the corrected item–total correlation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis using the parallel test and tau-equivalence test. Equivalence is the fundamental issue in cross-cultural research and evaluation.

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Book chapters on the topic "Confirmatory factor analysis (CFA)"

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Jöreskog, Karl G., Ulf H. Olsson, and Fan Y. Wallentin. "Confirmatory Factor Analysis (CFA)." In Multivariate Analysis with LISREL, 283–339. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33153-9_7.

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Johnston, Ron. "Confirmatory Factor Analysis (CFA)." In Encyclopedia of Quality of Life and Well-Being Research, 1194–95. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_524.

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de Mesquita, José Marcos Carvalho, and Erik Kostelijk. "Confirmatory Factor Analysis (CFA)." In Marketing Analytics, 152–72. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003196617-9.

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Starbuck, Craig. "Unsupervised Learning." In The Fundamentals of People Analytics, 261–82. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28674-2_14.

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AbstractThis chapter covers dimension reduction techniques that have utility in exploring and confirming the factor structure of psychological instrumentation; techniques include exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and principal components analysis (PCA). K-means and hierarchical clustering methods are examined for surfacing patterns and insights in unsupervised settings in which there is no outcome variable.

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Sholahuddin, M., M. A. Abdullah, M. N. Barom, I. N. Tahir, and Wiyadi. "Dimensions of Islamic business coaches' role: A second order confirmatory factor analysis (CFA)." In Contemporary Research on Management and Business, 152–55. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003295952-39.

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Groß, Thomas. "Toward Valid and Reliable Privacy Concern Scales: The Example of IUIPC-8." In Human Factors in Privacy Research, 55–81. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28643-8_4.

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AbstractValid and reliable measurement instruments are crucial for human factors in privacy research. We expect them to measure what they purport to measure, yielding validity, and to measure this consistently, offering us reliability. While there is a range of privacy concern instruments available in the field and their investigation continues unabated, we shall focus on a brief form of the scale Internet users? Information privacy concerns (IUIPC-8) as an example. We not only present IUIPC-8 itself, but also consider methods for the evaluation of valid and reliable measurement instruments. In this, confirmatory factor analysis (CFA) serves us as a valuable tool. Our inquiry takes into account the ordinal and non-normal data yielded by the IUIPC questionnaire, compares multiple models to confirm the three-dimensionality is a fixed term, typically written with hyphen of the scale, examines global and local fit, and, finally, estimates construct validity and internal consistency reliability metrics. We offer a comparison between IUIPC-10 and IUIPC-8 drawing on two independent samples. In conclusion, we highlight properties of the scale and considerations for its use in practice.

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Supriyadi, Heri, Dominicus Savio Priyarsono, Dominicus Savio Priyarsono, and Trias Andati. "Analysis of Internal Fraud in the Microloan Process with Confirmatory Factor Analysis (CFA) and the Extreme Gradient Boosting (XGBoost) Method." In Proceedings of the Business Innovation and Engineering Conference (BIEC 2022), 238–55. Dordrecht: Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-144-9_23.

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Chui, Wing-Yip, Shu-Kam Lee, Yuk-Lan Mok, and Chun-Kei Tsang. "The Diagnostic Criteria of Gambling Disorder of DSM-5 in Chinese Culture: By Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT)." In Applied Psychology Readings, 73–86. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8034-0_5.

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Ardi, Zadrian, Ifdil, Yan Guspriadi, and Chiedu Eseadi. "The Confirmatory Factor Analysis (CFA) of the Zadrian-Ifdil Problem Checklist (ZIPC) College Student Version as a Comprehensive Measurement Application for Millennial Generation." In Proceedings of the Unima International Conference on Social Sciences and Humanities (UNICSSH 2022), 1410–20. Paris: Atlantis Press SARL, 2023. http://dx.doi.org/10.2991/978-2-494069-35-0_169.

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Gatignon, Hubert. "Confirmatory Factor Analysis." In Statistical Analysis of Management Data, 77–154. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-8594-0_4.

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Conference papers on the topic "Confirmatory factor analysis (CFA)"

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Nur, Lutfi, Disman Disman, Eeng Ahman, Heny Hendrayati, and Arief Budiman. "Measuring Lecturer Motivation Scales: A Second-Order Confirmatory Factor Analysis (CFA)." In 6th Global Conference on Business, Management, and Entrepreneurship (GCBME 2021). Paris, France: Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220701.074.

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Puron-Cid, G., J. R. Gil-Garcia, D. E. Luna-Reyes, L. F. Luna-Reyes, S. Picazo-Vela, and R. Sandoval-Almazan. "Using Confirmatory Factor Analysis (CFA) as a Tool to Improve the Assessment of Digital Government." In dg.o '17: 18th Annual International Conference on Digital Government Research. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3085228.3085290.

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Chen, Xiaoli, and Shiyu Chang. "Cognitive prediction model for geophysical prospecting instruments’ user interface based on Confirmatory factor analysis." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001748.

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Geophysical prospecting instruments are indispensable in promoting the development of geophysics. The current user interface of geophysical prospecting instruments is still inadequate in user experience design. In this research, we use qualitative and quantitative analysis to develop a model to measure user perception of geophysical instruments. In the first part, through two questionnaire surveys (N=178), a quantitative index system for geophysical prospecting instruments’ user interface is proposed. In the second part, this article uses the Statistical Product and Service Solutions (SPSS) to conduct an exploratory factor analysis (EFA) and presents a conceptual model. This paper uses the Analysis of Moment Structure (AMOS) to construct and optimize the confirmatory factor analysis (CFA) models in the third part. The result of this research is a second-order three-factor confirmatory factor analysis model is proposed. This model explains the user’s cognitive level that affects the interface of geophysical instruments from three dimensions: reasonable layout (R), interaction friendliness (I), visual simplicity (V). According to this cognitive model, designers can better understand users’ mental level in the design stage, and future products will be more in line with user preferences.

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Isfarudi, Isfarudi, Paulina Pannen, and Rahayu Dwi Riyanti. "CONFIRMATORY FACTOR ANALYSIS (CFA) FOR TESTING CONSTRUCT VALIDITY AND RELIABILITY OF TRANSLATED ATTRAKDIFF QUESTIONNAIRE OF STUDENTS EXPERIENCE IN ONLINE LEARNING." In 16th International Technology, Education and Development Conference. IATED, 2022. http://dx.doi.org/10.21125/inted.2022.1516.

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Aghimien, Douglas, Clinton Aigbavboa, Ayodeji Oke, and Ahmad Taki. "Unearthing the outcome of construction digitalisation – a South African perspective." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003095.

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For most construction organisations in developing countries like South Africa, embracing digitalisation is constrained by the absence of evidence pointing to the outcome features of using digital technologies. This study, therefore, set out to unearth the potential outcomes of construction digitalisation by drawing from the perspective of construction professionals in diverse construction-related organisations across South Africa. The study adopted a post-positivism philosophical stance using quantitative research conducted through a questionnaire survey. Data were analysed using mean item score, Kruskal-Wallis H-Test and Confirmatory Factor Analysis (CFA). With good internal consistency, construct validity, and acceptable fit indices, CFA confirmed that an organisation's ability to deliver projects within the agreed schedule, quality and cost is improved with digitalisation, with better digital uptake and transformation achieved in the process. This implies that for a construction industry like South Africa, characterised by poor project performance due to the slow adoption of technological advancement, embracing construction digitalisation is a must in this current era of the fourth industrial revolution.

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Sadauska, Inese, and Aleksandrs Koļesovs. "Validity and Reliability of the Acceptance and Action Questionnaire-II: Latvian Version." In 79th International Scientific Conference of University of Latvia. University of Latvia, 2021. http://dx.doi.org/10.22364/htqe.2021.05.

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The objective of this study was to assess the psychometric properties of the Latvian version of the Acceptance and Action Questionnaire-II (AAQ-II), measuring psychological flexibility described as the ability to act according to chosen values while consciously being in contact with subjectively unpleasant present moment experiences. The scale provides a single score across 7 items. The original AAQ-II was translated to Latvian and then back to English. The Satisfaction with Life Scale, Flourishing Scale and Meaning in Life Questionnaire was applied for testing the convergent validity of the AAQ-II. Participants of the study were 191 people, ranged in age from 19 to 68 (159 women, mean age M = 30.62, SD = 9.50). Reliability analysis, exploratory and confirmatory factor analysis (EFA and CFA) of the scale were performed. EFA indicated a one-factor structure. Results showed that the Latvian version of AAQ-II has good psychometric properties and convergent validity. Testing of the original model by CFA resulted in acceptable fit indices.

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Galfi, Bernadette, Kinga Kalcza-Janosi, Borbala Tamas, Andrea Barta, and Istvan Szamoskozi. "VALIDATION OF THE HUNGARIAN VERSION OF BEHAVIOR RATING INVENTORY OF EXECUTIVE FUNCTION - ADULT VERSION QUESTIONNAIRE." In 9th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2022. SGEM WORLD SCIENCE, 2022. http://dx.doi.org/10.35603/sws.iscss.2022/s06.065.

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In recent years, the topic of executive functions has been in the focus of clinical psychology because of the associations that have been observed between the appearance of several clinical symptoms and the underdevelopment of executive functions. The Behavior Rating Inventory of Executive Functions - Adult Version (BRIEF - A) is a self-reporting questionnaire which aims to measure constructs of the executive functions, such as shifting, inhibitory control, emotion regulation, self-monitoring, initiating, working memory, planning/organizing, task-monitoring, and material organizing. The aim of the study is to create a shorter version of the questionnaire, as well as to examine its psychometric properties, its reliability and validity on a population of 289 Transylvanian Hungarian adults. The three factor model resulting from the exploratory factor analysis (EFA) showed good fit indices (CFI = .946, ?2/df = 1.88, RMSEA = .056, GFI = .918) during the confirmatory factor analysis (CFA), thus assuring construct validity. The short version of the questionnaire proved to be reliable (Cronbach ? = .898) and valid in measuring the executive functions among the Transylvanian Hungarian adult population.

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de Araújo, Arthur Filipe, Maria Isabel Marques, Maria Teresa Candeias, and Armando Luís Vieira. "SUSTAINABILITY FACTORS INFLUENCING TOURISTS’ DESTINATION CHOICE DURING THE COVID-19 PANDEMIC." In GLOBAL TOURISM CONFERENCE 2021. PENERBIT UMT, 2021. http://dx.doi.org/10.46754/gtc.2021.11.055.

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As recent studies show, tourists increasingly favour hotels and other tourism businesses that adopt more sustainable practices. This trend has arguably been intensified during the COVID-19 pandemic. Indeed, due to the restrictions regarding crowded places and closed spaces, a lot of tourists have (re)discovered nature. In this context, the present study aims to analyse tourists’ evaluation of sustainability criteria and willingness to pay for items when choosing a destination during the COVID-19 pandemic. To this end, previously validated scales for sustainability criteria and willingness to pay (for a sustainable destination) were tested, through a confirmatory approach, in the context of the COVID-19 pandemic. In this context, data was collected through a survey questionnaire (n=567) with Portuguese tourists and subjected to a Confirmatory Factor Analysis (CFA). The findings show that the factors hold their dimensionality, convergent validity, and reliability in the context of Portuguese tourists travelling during the COVID-19 pandemic. Moreover, a newly proposed item, related to the importance given to the inclusion of local producers in the tourism industry’s supply chain, was validated. The findings also show that, especially when it comes to willingness to pay, factors with a direct effect on tourists’ experience are significantly more valued. Additionally, the results point to a slightly different outlook on sustainability criteria by Portuguese tourists, which is likely related to the context of the pandemic. Finally, the findings provide useful insights for destination managers aiming to attract tourists with a more sustainable behaviour.

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Nikolaev, Dmitrii. "THE INFLUENCE OF IOT DATA INPUT ON B2B MARKETING EFFECTIVENESS UNDER THE PRISM OF INTERNAL TEAMS’ CONTRIBUTION TOWARDS LOYALTY AND SATISFACTION." In 13th International Scientific Conference „Business and Management 2023“. Vilnius Gediminas Technical University, 2023. http://dx.doi.org/10.3846/bm.2023.978.

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Nowadays the data-driven approach has become a leading initiative in the context of digital transformations based on the widespread adoption of Internet of Things (IoT). The aim of the research is to estimate the impact of the IoT-related data inputs on the marketing effectiveness within the business-to-business (B2B) environment under the prism of internally involved teams on the way to customer loyalty and satisfaction. The research outcomes highlight the opportunity for maximisation of marketing effectiveness by improving the quality of the acquired lead proceeding towards customer retention. The sample data represents responses from 541 customers of the leading digital platform in Europe within the last two years. The study employs confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). A Structural Equation Modelling (SEM) model connects the constructs to the outcome variable.

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Sotelo, Melissa, Dylan Richards, Matthew Pearson, and Protective Strategies Study Team. "Self-Reported Symptoms of Cannabis Use Disorder (SRSCUD): Psychometric Testing and Validation." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.16.

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Findings from national surveys demonstrate that cannabis use peaks in young adulthood and that the annual prevalence of marijuana use among young adults (34.0%) is the highest it has been in decades (Johnston et al., 2016). We developed a 13 item measure designed to characterize the 11 symptoms of CUD as described in the DSM 5 (APA, 2013). To evaluate the performance of this Self Reported Symptoms of Cannabis Use Disorder (SRSCUD) measure, we examined its associations with other measures of CUD symptoms, negative cannabis related consequences, and other known risk factors for CUD (i.e., coping motives). Colleges students (n =7000) recruited from 9 universities in 9 states throughout the U.S. Our analyses focus on past month cannabis users (n = 2077). We split our sample in half to conduct exploratory factor analysis (EFA,n = 1011) and confirmatory factor analysis (CFA, n = 1012). All items loaded saliently on a single factor of CUD symptoms in both EFA (.553 = λ = 805) and CFA models (.524 = λ = 830) (see Table 1). In our final model, we allowed correlated errors between the two indicators of tolerance (items 10 and 11) and the two indicators of withdrawal (items 12 and 13), and obtained acceptable model fit across most indices: CFI = .941, TLI = .927, RMSEA = .059, SRMR = .042. As shown in Table 2, the total score of the SRSCUD was strongly correlated with other CUD symptoms measures (.617 < r s < .697), demonstrating convergent validity. SRSCUD was moderately positively correlated with a well known risk factor for CUD (coping motives) and moderately negative correlated with a well known protective (cannabis protective behavioral strategies). We conducted receiver operator characteristic (ROC) curve analyses to identify well how our continuous measure of CUD symptoms could identify individuals who exceed the cutoffs for probable CUD on these other symptom measures. For the most well validated measure (CUDIT R), we had excellent sensitivity/specificity (mean score of 1.5 on SRSCUD) for predicting probable CUD. Although more research evaluating performance of the SRSCUD compared to a clinical diagnosis is needed, we have preliminary evidence for construct validity of this measure.

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Reports on the topic "Confirmatory factor analysis (CFA)"

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Criqui, Joseph. A confirmatory factor analysis of two competing social power measurement systems. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6051.

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Uhland, Gary. Beyond difference scores : testing models of speed of information-processing using confirmatory factor analysis. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5717.

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