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Author Heck, Ronald H.

Title Multilevel and longitudinal modeling with IBM SPSS / Ronald H. Heck, the University of Hawaii at Manoa, Scott L. Thomas, Claremont Graduate University, Lynn N. Tabata, the University of Hawaii at Manoa
Published New York, NY : Routledge, 2013
Online access available from:
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Description 1 online resource
Series Quantitave methodology series
Quantitave methodology series
Contents Cover; Multilevel and Longitudinal Modeling with IBM SPSS; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1 Introduction to Multilevel Modeling with IBM SPSS; Our Intent; Overview of Topics; Analysis of Multilevel Data Structures; Partitioning Variation in an Outcome; Developing a General Multilevel-Modeling Strategy; Illustrating the Steps in Investigating a Proposed Model; 1. One-Way ANOVA (No Predictors) Model; 2. Analyze a Level 1 Model with Fixed Predictors; 3. Add the Level 2 Explanatory Variables; 4. Examine Whether a Particular Slope Coefficient Varies Between Groups
5. Adding Cross-Level Interactions to Explain Variation in the SlopeSyntax Versus IBM SPSS Menu Command Formulation; Model Estimation and Other Typical Multilevel-Modeling Issues; Sample Size; Power; Differences Between Multilevel Software Programs; Standardized and Unstandardized Coefficients; Missing Data; Missing Data at Level 2; Missing Data in Vertical Format in IBM SPSS MIXED; Design Effects, Sample Weights, and the Complex Samples Routine in IBM SPSS; An Example Using Multilevel Weights; Summary; Chapter 2 Preparing and Examining the Data for Multilevel Analyses; Data Requirements
Creating an Individual-Level Identifier Using "Compute"Creating a Group-Level Identifier Using "Rank Cases"; Creating a Within-Group-Level Identifier Using "Rank Cases"; Centering; Grand-Mean Centering; Group-Mean Centering; Checking the Data; A Note About Model Building; Summary; Chapter 3 Defining a Basic Two-Level Multilevel Regression Model; From Single-Level to Multilevel Analysis; Building a Two-Level Model; Research Questions; The Data; Specifying the Model; Graphing the Relationship Between SES and Math Test Scores with IBM SPSS Menu Commands
File LayoutGetting Familiar with Basic IBM SPSS Data Commands; Recode: Creating a New Variable Through Recoding; Recoding Old Values to New Values; Recoding Old Values to New Values Using "Range"; Compute: Creating a New Variable That Is a Function of Some Other Variable; Match Files: Combining Data From Separate IBM SPSS Files; Aggregate: Collapsing Data Within Level 2 Units; VARSTOCASES: Vertical Versus Horizontal Data Structures; Using "Compute" and "Rank" to Recode the Level 1 or Level 2 Data for Nested Models; Creating an Identifier Variable
Graphing the Subgroup Relationships Between SES and Math Test Scores with IBM SPSS Menu CommandsBuilding a Multilevel Model with IBM SPSS MIXED; Step 1: Examining Variance Components Using the Null Model; Defining Model 1 (Null) with IBM SPSS Menu Commands; Interpreting the Output From Model 1 (Null); Step 2: Building the Individual-Level (or Level 1) Random Intercept Model; Defining Model 2 with IBM SPSS Menu Commands; Interpreting the Output From Model 2; Step 3: Building the Group-Level (or Level 2) Random Intercept Model; Defining Model 3 with IBM SPSS Menu Commands
Summary This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research que
Bibliography Includes bibliographical references and index
Notes Print version record
Subject PASW (Computer file)
SPSS (Computer file)
Social sciences -- Longitudinal studies.
Social sciences -- Statistical methods.
Genre/Form Longitudinal studies.
Form Electronic book
Author Tabata, Lynn Naomi.
Thomas, Scott L.
ISBN 1135074178 (electronic bk.)
1299813968 (ebk)
9781135074173 (electronic bk.)
9781299813960 (ebk)