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Hierarchical linear modeling : guide and applications / editor, G. David Garson.


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Publication date:
Thousand Oaks, Calif. : Sage, c2013.
  • Book
  • xix, 371 p. : ill ; 24 cm.
Includes bibliographical references and index.
  • Preface
  • Fundamentals of hierarchical linear (multilevel) modeling / G. David Garson
  • Preparing to analyze multilevel data / G. David Garson
  • Introductory guide to hlm with hlm6 software / G. David Garson
  • Introductory guide to hlm with sas software / G. David Garson
  • Introductory guide to hlm with spss software / G. David Garson
  • Introductory and intermediate applications
  • A random intercepts model of gpa and sat scores using spss / Forrest C. Lane, Kim F. Nimon, & J. Kyle Roberts
  • A random intercept regression model using hlm : cohort analysis of a mathematics curriculum for mathematically promising students / Carissa L. Shafto & Jill L. Adelson
  • Random coefficients modeling with hlm : assessment practices and the achievement gap schools / Gregory J. Palardy
  • Emotional reactivity to daily stressors using a random coefficients model with sas proc mixed : a repeated measures analysis / Shevaun Neupert
  • Hierarchical linear modeling of growth curve trajectories using hlm / David F. Greenberg & Julie A. Phillips
  • A piecewise growth model using hlm to examine change in teaching practices following a science teacher professional development intervention / Jaime L. Maerten-Rivera
  • Studying reaction to repeated life events with discontinuous change models using hlm / Maike Luhmann & Michael Eid
  • A cross-classified multilevel model for first-year college natural science performance using sas / Brian F. Patterson
  • Cross-classified multilevel models using stata: how important are schools and neighbourhoods for children's educational attainment? / George Leckie
  • Predicting future events from longitudinal data with multivariate hierarchical models and bayes' theorem using sas / Larry J. Brant & Shan L. Sheng
  • Index.
Garson, G. David.

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