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Hierarchical Linear Modeling: Guide and Applications

By: Material type: TextTextPublication details: Los Angeles Sage Publications 2013Description: 371pISBN:
  • 9781412998857
DDC classification:
  • 300.74 HIE
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Item type Current library Item location Collection Call number Status Date due Barcode Item holds
Book Book NIMA Knowledge Centre 9th Floor Reading Zone General 300.74 HIE (Browse shelf(Opens below)) Available M0028755
Total holds: 0

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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