Hierarchical linear modeling : guide and applications

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Bibliographic Details
Main Author Garson, G. David, 1943- (Author, Editor)
Format Book
LanguageEnglish
Published Thousand Oaks, Calif. : Sage Publications, c2013
Subjects
lineární modely
statistické modely
statistický software
linear models
statistical models
statistical software
příručky
handbooks, manuals, etc
ISBN9781412998857
Physical Descriptionxix, 371 s. : il. ; 23 cm

Cover

Table of Contents:
  • 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

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