Multilevel Modeling for Social and Personality Psychology

Author:   John B. Nezlek
Publisher:   Sage Publications Ltd
ISBN:  

9780857024015


Pages:   120
Publication Date:   15 February 2011
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Multilevel Modeling for Social and Personality Psychology


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Overview

The volume begins with a rationale for multilevel modeling (MLM). Different aspects of MLM such as centering and modeling error terms are discussed, and examining hypotheses within the multilevel framework is considered in detail. Step by step instructions for conducting multilevel analyses using the program HLM are presented, and these instructions are linked to data sets and program files on a website. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented.

Full Product Details

Author:   John B. Nezlek
Publisher:   Sage Publications Ltd
Imprint:   Sage Publications Ltd
Dimensions:   Width: 15.60cm , Height: 1.20cm , Length: 23.40cm
Weight:   0.320kg
ISBN:  

9780857024015


ISBN 10:   0857024019
Pages:   120
Publication Date:   15 February 2011
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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John B. Nezlek is Professor of Psychology at the College of William and Mary

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