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An overview of structural equation modeling

Its beginnings, historical development, usefulness and controversies in the social sciences

Bibliographic Data

ID23328308
AuthorsPiotr Tarka (0000-0002-3178-7366, Poznań University of Economics and Business, corresponding author)
Year2018
Volume52
Issue1
Pages313-354
Publication date2018-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQuality & Quantity (JOURNAL)
Journal identifiersISSN: 0033-5177 • E-ISSN: 1573-7845
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11135-017-0469-8
PMID29416184
OpenAlexW2570564972
LanguageEN
Citations received103
References cited281

This paper is a tribute to researchers who have significantly contributed to improving and advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and presents its beginnings, historical development, its usefulness in the social sciences and the statistical and philosophical (theoretical) controversies which have often appeared in the literature pertaining to SEM. Having described the essence of SEM in the context of causal analysis, the author discusses the years of the development of structural modeling as the consequence of many researchers’ systematically growing needs (in particular in the social sciences) who strove to effectively understand the structure and interactions of latent phenomena. The early beginnings of SEM models were related to the work of Spearman and Wright, and to that of other prominent researchers who contributed to SEM development. The importance and predominance of theoretical assumptions over technical issues for the successful construction of SEM models are also described. Then, controversies regarding the use of SEM in the social sciences are presented. Finally, the opportunities and threats of this type of analytical strategy as well as selected areas of SEM applications in the social sciences are discussed.

Context (archaeology) · Engineering ethics · Epistemology · Management science · Social science · Sociology · Structural equation modeling · Computer Science · Engineering · History · Mental Health Research Topics · Philosophy

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    Chih-Ping Chou, Chih‐Ping Chou et al.•Multivariate Behavioral Research•1990

  • The Effects of Sampling Error and Model Characteristics on Parameter Estimation for Maximum Likelihood Confirmatory Factor Analysis

    David W Gerbing, James C Anderson•Multivariate Behavioral Research•1985

  • A Comment on Model Evaluation and Modification

    K A Bollen•Multivariate Behavioral Research•1990

  • The Specific Analysis of Structural Equation Models

    Roderick P McDonald•Multivariate Behavioral Research•2004

  • Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables

    Sik-Yum Lee, Sik‐yum Lee et al.•Multivariate Behavioral Research•2004

  • Evaluating Small Sample Approaches for Model Test Statistics in Structural Equation Modeling

    Jonathan Nevitt, Gregory R Hancock•Multivariate Behavioral Research•2004

  • Tetrad and SEM

    Judea Pearl•Multivariate Behavioral Research•1998

  • A Structural Modeling Approach to a Multilevel Random Coefficients Model

    MICHAEL J ROVINE, Peter C M Molenaar•Multivariate Behavioral Research•2000

  • Causal Independence and Faithfulness

    James Woodward•Multivariate Behavioral Research•1998

  • The Need for Alternative Measures of Fit in Covariance Structure Modeling

    Robert C Maccallum•Multivariate Behavioral Research•1990

  • Overcoming Problems in Confirmatory Factor Analyses of MTMM Data

    Herbert W Marsh, Barbara M Byrne et al.•Multivariate Behavioral Research•1992

  • Some Cautions Concerning The Application Of Causal Modeling Methods

    Norman Cliff•Multivariate Behavioral Research•1983

  • Single Sample Cross-Validation Indices for Covariance Structures

    Michael W Browne, Robert Cudeck•Multivariate Behavioral Research•1989

  • Presidential Address

    Robert C Maccallum•Multivariate Behavioral Research•2003

  • Should Model Modifications be Oriented Toward Improving Data Fit or Encouraging Creative and Analytical Thinking

    Leslie A Hayduk•Multivariate Behavioral Research•1990

Unique citing works103
Citations per year14,71
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 99

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