Wellcome

Multilevel analysis : techniques and applications / Joop J. Hox.

By: Hox, J. JMaterial type: TextTextSeries: Quantitative methodology seriesPublication details: New York : Routledge, 2010Edition: 2nd edDescription: x, 382 p. : ill. ; [ca. 23-29] cmISBN: 9781848728455 (hardback : alk. paper); 9781848728462 (pbk. : alk. paper); 184872845X; 1848728468Subject(s): Social sciences -- Statistical methods | Analysis of variance | Regression analysisLOC classification: HA29 | .H783 2010Online resources: Click here to view Also available as an electronic resource.
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 Status Date due Barcode
Ebooks Ebooks Mysore University Main Library
Not for loan EBTF2749

Includes bibliographical references and index.

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.

Also available as an electronic resource.

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