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020 _a9783031326738
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024 7 _a10.1007/978-3-031-32673-8
_2doi
050 4 _aQA1-939
072 7 _aPB
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072 7 _aMAT000000
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_2thema
100 1 _aVerma, J.P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966434
245 1 0 _aUnderstanding Structural Equation Modeling
_h[electronic resource] :
_bA Manual for Researchers /
_cby J.P. Verma, Priyam Verma.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVII, 219 p. 137 illus., 117 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
505 0 _a1. Overview Of Structural Equation Modelling -- 2. Introduction To Spss And Amos Software -- 3. Understanding Correlation And Regression -- 4. Understanding The Mediation Model -- 5. Understanding Path Analysis With Multiple Regression -- 6. Understanding Path Analysis With Structural Equation Modelling -- 7. Confirmatory Factor Analysis With Structural Equation Modelling.
520 _aThis book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disciplines. The authors employ a ‘simple to complex’ approach. The book reviews topics such as variance, covariance, correlation, multiple regression, mediation, moderation, path analysis, and confirmatory factor analysis. The authors then discuss the initial steps for performing structural equation modeling, including model specification, model identification, model estimation, model testing, and model modification. The book includes an introduction to the IBM SPSS and IBM SPSS Amos software. The authors the explain how this software can be utilized for developing measurement, structural models, and SEM models. The book provides conceptual clarity in understanding the models and discusses practical approaches to solving them. The authors also highlight how these techniques can be applied to various disciplines, including psychology, education,sociology, business, medicine, political science, and biological sciences.
650 0 _aMathematics.
_965523
650 0 _aStatistics .
_965982
650 0 _aInformation visualization.
_964751
650 0 _aMathematical analysis.
_964178
650 1 4 _aMathematics.
_965523
650 2 4 _aStatistics.
_965982
650 2 4 _aApplications of Mathematics.
_965529
650 2 4 _aApplied Statistics.
_965986
650 2 4 _aData and Information Visualization.
_966435
650 2 4 _aAnalysis.
700 1 _aVerma, Priyam.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_966436
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031326721
776 0 8 _iPrinted edition:
_z9783031326745
776 0 8 _iPrinted edition:
_z9783031326752
830 0 _aSynthesis Lectures on Mathematics & Statistics,
_x1938-1751
856 4 0 _uhttps://doi.org/10.1007/978-3-031-32673-8
912 _aZDB-2-SXSC
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