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

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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1

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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2

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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3

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

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4

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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5

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

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6

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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7

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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8

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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9

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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10

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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11

Harrington, Donna. Confirmatory Factor Analysis. Oxford University Press, Incorporated, 2009.

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12

Confirmatory Factor Analysis. SAGE Publications, Incorporated, 2022.

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13

Miksza, Peter, and Kenneth Elpus. Exploratory and Confirmatory Factor Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0013.

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This chapter consists of data-driven examples of how factor analysis as a statistical tool can be applied in music education research. The chapter presents examples of how factor analysis methods can be used to identify latent variables, which in turn can be used to represent a broad set of measured variables. Exploratory and confirmatory factor analysis techniques are compared and illustrated with data-driven examples. The examples highlight some of the major considerations and basic steps for performing factor analyses so that the reader can begin to imagine how to apply this technique to their own research questions.

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14

Brown, Timothy A. Confirmatory Factor Analysis for Applied Research. Guilford Publications, 2006.

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15

Adegunle, Samod, and Adebukola Taiwo. Confirmatory Factor Analysis of Pseudo-Dyscalculia Scale. Independently Published, 2022.

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16

Haig, Brian D. Exploratory Factor Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0006.

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Chapter 6 argues that exploratory factor analysis is an abductive method of theory generation that exploits a principle of scientific inference known as the principle of the common cause. Factor analysis is an important family of multivariate statistical methods that is widely used in the behavioral and social sciences. The best known model of factor analysis is common factor analysis, which has two types: exploratory factor analysis and confirmatory factor analysis. A number of methodological issues that arise in critical discussions of exploratory factor analysis are considered. It is suggested that exploratory factor analysis can be profitably employed in tandem with confirmatory factor analysis.

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17

Brown, Timothy A. Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications, 2014.

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18

Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications, 2015.

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19

Brown, Timothy A. Confirmatory Factor Analysis for Applied Research, Second Edition. Guilford Publications, 2014.

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20

Confirmatory Factor Analysis for Applied Research, Second Edition. The Guilford Press, 2015.

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21

Thompson, Bruce. Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. American Psychological Association (APA), 2004.

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22

A confirmatory factor analysis of the Precompetitive stress inventory. 1993.

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23

A confirmatory factor analysis of the Precompetitive stress inventory. 1993.

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24

A confirmatory factor analysis of the Precompetitive stress inventory. 1993.

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25

Goodwin, Grant Edward. The freedom from distractability factor: Does a confirmatory factor analysis support its presence? 1989.

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26

Harrington, Donna. Confirmatory Factor Analysis. Pocket Guides to Social Work Research Methods. Oxford University Press, 2008.

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27

Schwartz, Shalom H. Evaluating the structure of human values with confirmatory factor analysis. 2004.

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28

Amos 3.6: Easy Structural Equation Modeling and Confirmatory Factor Analysis. Lawrence Erlbaum, 1996.

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29

Confirmatory Factor Analysis for Applied Research (Methodology In The Social Sciences). The Guilford Press, 2006.

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30

Brown, Timothy A. Confirmatory Factor Analysis for Applied Research (Methodology In The Social Sciences). The Guilford Press, 2006.

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31

Byrne, Barbara M. Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models. Springer, 2012.

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32

Stevison, Melinda Gay. A confirmatory factor analysis of teaching presence within the Florida Online Reading Professional Development program. Proquest, Umi Dissertation Publishing, 2011.

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33

A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models. Springer, 2011.

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34

Streiner, David L., Geoffrey R. Norman, and John Cairney. Health Measurement Scales. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.001.0001.

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Health Measurement Scales is the ultimate online guide to developing and validating measurement scales that are to be used in the health sciences. It covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis.

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