Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach
In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We dis...
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| Veröffentlicht in: | Psychological bulletin 1988-05, Vol.103 (3), p.411-423 |
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| container_end_page | 423 |
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| container_issue | 3 |
| container_start_page | 411 |
| container_title | Psychological bulletin |
| container_volume | 103 |
| creator | Anderson, James C Gerbing, David W |
| description | In this article, we
provide guidance for substantive researchers on the use of structural equation modeling in
practice for theory testing and development. We present a comprehensive, two-step modeling
approach that employs a series of nested models and sequential chi-square difference
tests. We discuss the comparative advantages of this approach over a one-step approach.
Considerations in specification, assessment of fit, and respecification of measurement
models using confirmatory factor analysis are reviewed. As background to the two-step
approach, the distinction between exploratory and confirmatory analysis, the distinction
between complementary approaches for theory testing versus predictive application, and
some developments in estimation methods also are discussed. |
| doi_str_mv | 10.1037/0033-2909.103.3.411 |
| format | Article |
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provide guidance for substantive researchers on the use of structural equation modeling in
practice for theory testing and development. We present a comprehensive, two-step modeling
approach that employs a series of nested models and sequential chi-square difference
tests. We discuss the comparative advantages of this approach over a one-step approach.
Considerations in specification, assessment of fit, and respecification of measurement
models using confirmatory factor analysis are reviewed. As background to the two-step
approach, the distinction between exploratory and confirmatory analysis, the distinction
between complementary approaches for theory testing versus predictive application, and
some developments in estimation methods also are discussed.</description><identifier>ISSN: 0033-2909</identifier><identifier>EISSN: 1939-1455</identifier><identifier>DOI: 10.1037/0033-2909.103.3.411</identifier><identifier>CODEN: PSBUAI</identifier><language>eng</language><publisher>Washington, DC: American Psychological Association</publisher><subject>Biological and medical sciences ; Confirmatory Factor Analysis ; Factor Analysis ; Fundamental and applied biological sciences. Psychology ; Human ; Mathematical Modeling ; Psychology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychometrics. Statistics. Methodology ; Social research ; Statistical Analysis ; Statistics. Mathematics</subject><ispartof>Psychological bulletin, 1988-05, Vol.103 (3), p.411-423</ispartof><rights>1988 American Psychological Association</rights><rights>1988 INIST-CNRS</rights><rights>Copyright American Psychological Association May 1988</rights><rights>1988, American Psychological Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27869,27924,27925,30999</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=7789187$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Masters, John C</contributor><creatorcontrib>Anderson, James C</creatorcontrib><creatorcontrib>Gerbing, David W</creatorcontrib><title>Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach</title><title>Psychological bulletin</title><description>In this article, we
provide guidance for substantive researchers on the use of structural equation modeling in
practice for theory testing and development. We present a comprehensive, two-step modeling
approach that employs a series of nested models and sequential chi-square difference
tests. We discuss the comparative advantages of this approach over a one-step approach.
Considerations in specification, assessment of fit, and respecification of measurement
models using confirmatory factor analysis are reviewed. As background to the two-step
approach, the distinction between exploratory and confirmatory analysis, the distinction
between complementary approaches for theory testing versus predictive application, and
some developments in estimation methods also are discussed.</description><subject>Biological and medical sciences</subject><subject>Confirmatory Factor Analysis</subject><subject>Factor Analysis</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Mathematical Modeling</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Social research</subject><subject>Statistical Analysis</subject><subject>Statistics. 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Psychology</topic><topic>Human</topic><topic>Mathematical Modeling</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychometrics. Statistics. Methodology</topic><topic>Social research</topic><topic>Statistical Analysis</topic><topic>Statistics. 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provide guidance for substantive researchers on the use of structural equation modeling in
practice for theory testing and development. We present a comprehensive, two-step modeling
approach that employs a series of nested models and sequential chi-square difference
tests. We discuss the comparative advantages of this approach over a one-step approach.
Considerations in specification, assessment of fit, and respecification of measurement
models using confirmatory factor analysis are reviewed. As background to the two-step
approach, the distinction between exploratory and confirmatory analysis, the distinction
between complementary approaches for theory testing versus predictive application, and
some developments in estimation methods also are discussed.</abstract><cop>Washington, DC</cop><pub>American Psychological Association</pub><doi>10.1037/0033-2909.103.3.411</doi><tpages>13</tpages></addata></record> |
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| ispartof | Psychological bulletin, 1988-05, Vol.103 (3), p.411-423 |
| issn | 0033-2909 1939-1455 |
| language | eng |
| recordid | cdi_proquest_journals_614361636 |
| source | EBSCOhost APA PsycARTICLES; Periodicals Index Online; Applied Social Sciences Index & Abstracts (ASSIA) |
| subjects | Biological and medical sciences Confirmatory Factor Analysis Factor Analysis Fundamental and applied biological sciences. Psychology Human Mathematical Modeling Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Social research Statistical Analysis Statistics. Mathematics |
| title | Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach |
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