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  <titleInfo>
    <title>Principles and Practice of Structural Equation Modeling</title>
  </titleInfo>
  <name type="personal">
    <namePart>Kline, Rex B.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kline, Rex B.</namePart>
  </name>
  <name type="personal">
    <namePart>Little, Todd D</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xxu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>: Guilford Press</publisher>
    <dateIssued>©2016</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvii, 534 pages)  : illustrations. 24cm. </extent>
  </physicalDescription>
  <abstract>Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results</abstract>
  <tableOfContents>Part I. Concepts and tools --
Coming of age --
Regression fundamentals --
Significance testing and bootstrapping --
Data preparation and psychometrics review --
Computer tools --
Part II. Specification and identification --
Specification of observed variable (path) models --
Identification of observed-variable (path) models --
Graph theory and the structural causal model --
Specification and identification of confirmatory factor analysis models --
Specification and identification of structural regression models --
Part III. Analysis --
Estimation and local fit testing --
Global fit testing --
Analysis of confirmatory factor analysis models --
Analysis of structural regression models --
Part IV. Advanced techniques and best practices --
Mean structures and latent growth models --
Multiple-samples analysis and measurement invariance --
Interaction effects and multilevel structural equation modeling --
Best practices in structural equation modeling.</tableOfContents>
  <note type="statement of responsibility">/ Rex B Kline</note>
  <subject>
    <topic>Mathematics</topic>
  </subject>
  <subject>
    <topic>Probabilities &amp; applied mathematics</topic>
  </subject>
  <subject>
    <topic>Structural equation modeling</topic>
  </subject>
  <subject>
    <topic>Models, Statistical</topic>
  </subject>
  <subject>
    <topic>Statistical methods -- Data processing</topic>
  </subject>
  <subject>
    <topic>MATHEMATICS -- Probability &amp; Statistics -- General</topic>
  </subject>
  <classification authority="ddc" edition="4th ed. ">519.535 KLI</classification>
  <identifier type="isbn">9781462523344</identifier>
  <identifier type="">:Brijwasi Book Distributors  :H-87, Lalita Park laxmi Nagar Delhi 110092</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">190114</recordCreationDate>
    <recordChangeDate encoding="iso8601">20190129141008.0</recordChangeDate>
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