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Structural Equation Modeling in Psychology: The History, Development and Current Challenges

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  • Leila Karimi
  • Denny Meyer

Abstract

Structural Equation Modeling (SEM) represents a series of cause-effect relationships between variables combined into composite testable models (Shipley, 2000). It is extensively used by researchers in different disciplines and is a technique often used in psychology. SEM has attracted attention primarily because it lends itself to effectively studying problems or models that are hard to assess using other procedures. This paper traces the history of SEM in discipline of psychology, and discusses the current developments, the use/misuse of SEM techniques and practical recommendations to direct future research in the discipline.

Suggested Citation

  • Leila Karimi & Denny Meyer, 2014. "Structural Equation Modeling in Psychology: The History, Development and Current Challenges," International Journal of Psychological Studies, Canadian Center of Science and Education, vol. 6(4), pages 123-123, December.
    • Handle: RePEc:ibn:ijpsjl:v:6:y:2014:i:4:p:123
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    References listed on IDEAS

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    1. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    2. P. Bentler, 1986. "Structural modeling and psychometrika: An historical perspective on growth and achievements," Psychometrika, Springer;The Psychometric Society, vol. 51(1), pages 35-51, March.
    3. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 443-459, December.
    4. Louis Guttman, 1952. "Multiple group methods for common-factor analysis: Their basis, computation, and interpretation," Psychometrika, Springer;The Psychometric Society, vol. 17(2), pages 209-222, June.
    5. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    6. Ledyard Tucker, 1955. "The objective definition of simple structure in linear factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 20(3), pages 209-225, September.
    7. P. Bentler, 1968. "Alpha-maximized factor analysis (alphamax): Its relation to alpha and canonical factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 33(3), pages 335-345, September.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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