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Multilevel analysis : techniques and applications / Joop J. Hox

By: Material type: TextTextSeries: Quantitative methodology seriesPublication details: New York : Routledge, 2010Edition: 2nd edDescription: x, 382 p. : ill ; 23 cmISBN:
  • 9781848728455 (hardback : alk. paper)
  • 184872845X (hardback : alk. paper)
  • 9781848728462 (pbk. : alk. paper)
  • 1848728468 (pbk. : alk. paper)
  • 9780203852279 (electronic book)
  • 0203852273 (electronic book)
Subject(s):
Contents:
Introduction to multilevel analysis -- The basic two-level regression model -- Estimation and hypothesis testing in multilevel regression -- Some important methodological and statistical issues -- Analyzing longitudinal data -- The multilevel generalized linear model for dichotomous data and proportions -- The multilevel generalized linear model for categorical and count data -- Multilevel survival analysis -- Cross-classified multilevel models -- Multivariate multilevel regression models -- The multilevel approach to meta-analysis -- Sample sizes and power analysis in multilevel regression -- Advanced issues in estimation and testing -- Multilevel factor models -- Multilevel path models -- Latent curve models
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Holdings
Item type Current library Call number Copy number Status Notes Date due Barcode
Open Shelf Open Shelf UMPLIB GAMBANG HA29 .H69 2010 (Browse shelf(Opens below)) 1 Available 0000054451
Open Shelf Open Shelf UMPLIB GAMBANG HA29 .H69 2010 (Browse shelf(Opens below)) 2 Available c.2 0000055033

Includes bibliographical references and indexes

Introduction to multilevel analysis -- The basic two-level regression model -- Estimation and hypothesis testing in multilevel regression -- Some important methodological and statistical issues -- Analyzing longitudinal data -- The multilevel generalized linear model for dichotomous data and proportions -- The multilevel generalized linear model for categorical and count data -- Multilevel survival analysis -- Cross-classified multilevel models -- Multivariate multilevel regression models -- The multilevel approach to meta-analysis -- Sample sizes and power analysis in multilevel regression -- Advanced issues in estimation and testing -- Multilevel factor models -- Multilevel path models -- Latent curve models

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