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G. David Garson Multilevel Modeling (Paperback) (UK IMPORT)
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- Book Title
- Multilevel Modeling
- Title
- Multilevel Modeling
- EAN
- 9781544319292
- ISBN
- 9781544319292
- Release Date
- 09/18/2019
- Release Year
- 2019
- Subtitle
- Applications in STATA®, IBM® SPSS®, SAS®, R, & HLM™
- ISBN-10
- 1544319290
- Country/Region of Manufacture
- US
- Genre
- Language & Reference
- Subject
- Computing & Internet
- Publication Year
- 2019
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Multilevel Modeling : Applications in Stata®, Ibm® SPSS®, Sas®, R, and Hlm (Tm)
- Item Height
- 0.8in
- Item Length
- 10in
- Publisher
- SAGE Publications, Incorporated
- Item Width
- 8in
- Item Weight
- 35.2 Oz
- Number of Pages
- 552 Pages
關於產品
Product Information
Providing a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences.
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1544319290
ISBN-13
9781544319292
eBay Product ID (ePID)
27038623971
Product Key Features
Publication Name
Multilevel Modeling : Applications in Stata®, Ibm® SPSS®, Sas®, R, and Hlm (Tm)
Format
Trade Paperback
Language
English
Publication Year
2019
Type
Textbook
Number of Pages
552 Pages
Dimensions
Item Length
10in
Item Height
0.8in
Item Width
8in
Item Weight
35.2 Oz
Additional Product Features
Lc Classification Number
Ha32.G37 2020
Reviews
The practical and hands-on approach in addition to using several software make this book appealing to a wide range of readers.
Table of Content
PrefaceAcknowledgmentsAbout the AuthorChapter 1 * Introduction to Multilevel Modeling Overview What Multilevel Modeling Does The Importance of Multilevel Theory Types of Multilevel Data Common Types of Multilevel Model Mediation and Moderation Models in Multilevel Analysis Alternative Statistical Packages Multilevel Modeling Versus GEE Summary Glossary Challenge Questions With AnswersChapter 2 * Assumptions of Multilevel Modeling About This Chapter Overview Model Specification Construct Operationalization and Validation Random Sampling Sample Size Balanced and Unbalanced Designs Data Level Linearity and Nonlinearity Independence Recursivity Missing Data Outliers Centered and Standardized Data Longitudinal Time Values Multicollinearity Homogeneity of Error Variance Normally Distributed Residuals Normal Distribution of Variables Normal Distribution of Random Effects Convergence Covariance Structure Assumptions Summary Glossary Challenge Questions With AnswersChapter 3 * The Null Model Overview Testing the Need for Multilevel Modeling Likelihood Ratio Tests Partition of Variance Components Examples Summary Glossary Challenge Questions With AnswersChapter 4 * Estimating Multilevel Models Fixed and Random Effects Why Not Just Use OLS Regression? Why Not Just Use GLM (ANOVA)? Types of Estimation Robust and Cluster-Robust Standard Errors Summary Glossary Challenge Questions With AnswersChapter 5 * Goodness of Fit and Effect Size in Multilevel Models Overview Goodness of Fit Measures and Tests Effect Size Measures Effect Size and Endogeneity Summary Glossary Challenge Questions With AnswersChapter 6 * The Two-Level Random Intercept Model Overview SPSS Stata SAS HLM 7 R Summary Glossary Challenge Questions With AnswersChapter 7 * The Two-Level Random Coefficients Model Overview SPSS Stata SAS HLM 7 R Significance (p) Values for Variance Components Summary Glossary Challenge Questions With AnswersChapter 8 * The Three-Level Unconditional Random Intercept Model with Longitudinal Data Overview SPSS Stata SAS HLM 7 R Summary Glossary Challenge Questions With AnswersChapter 9 * Repeated Measures and Heterogeneous Variance Models Overview SPSS SAS Stata R HLM 7 Summary Glossary Challenge Questions With AnswersChapter 10 * Residual and Influence Analysis for a Three-Level RC Model About This Chapter Overview Why Residual Analysis? Data Model Model Diagnostics SAS Stata SPSS HLM 7 R Summary Glossary Challenge Questions With AnswersChapter 11 * Cross-Classified Linear Mixed Models Overview Data Model Research Purpose Stata SPSS SAS HLM 7 R Summary Glossary Challenge Questions With AnswersChapter 12 * Generalized Linear Mixed Models Overview Estimation Methods Data Model Stata SAS SPSS HLM 7 R Summary Glossary Challenge Questions With AnswersAppendix 1: Data Used in Examples. Refers to Student Companion WebsiteAppendix 2: Reporting Multilevel ResultsReferencesIndex
Copyright Date
2020
Topic
Programming Languages / General, Methodology, Mathematical & Statistical Software, Statistics
Lccn
2019-007218
Dewey Decimal
519.54028553
Intended Audience
College Audience
Dewey Edition
23
Genre
Computers, Education, Psychology, Social Science
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