03326nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001200153072001500165072002300180072001400203100007300217245013000290250001800420264007500438300006800513336002600581337002600607338003600633347002400669490006300693505038000756520108201136650001702218650001802235650003102253650002702284650001702311650001602328650003302344650002402377650004002401650001402441700007602455710003402531773002602565776003602591776003602627776003602663830006302699856004602762978-3-031-32673-8DE-He21320251030110821.0cr nn 008mamaa231006s2024    sz |    s    |||| 0|eng d  a97830313267387 a10.1007/978-3-031-32673-82doi 4aQA1-939 7aPB2bicssc 7aMAT0000002bisacsh 7aPB2thema1 aVerma, J.P.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aUnderstanding Structural Equation Modelingh[electronic resource] :bA Manual for Researchers /cby J.P. Verma, Priyam Verma.  a1st ed. 2024. 1aCham :bSpringer International Publishing :bImprint: Springer,c2024.  aXVII, 219 p. 137 illus., 117 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSynthesis Lectures on Mathematics & Statistics,x1938-17510 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.  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. 0aMathematics. 0aStatistics . 0aInformation visualization. 0aMathematical analysis.14aMathematics.24aStatistics.24aApplications of Mathematics.24aApplied Statistics.24aData and Information Visualization.24aAnalysis.1 aVerma, Priyam.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303132672108iPrinted edition:z978303132674508iPrinted edition:z9783031326752 0aSynthesis Lectures on Mathematics & Statistics,x1938-175140uhttps://doi.org/10.1007/978-3-031-32673-8