The past two decades have witnessed a dramatic increase in the demand for analyses of health and public affairs program data. Governments at the federal and state levels have stimulated, if not mandated, much of this increased de mand and spawned numerous not-for-profit and quasi-public organizations research groups, lobbying organizations, consulting firms-who actively use analytic techniques. Program analysis is a broad term that encompasses activities such as pro gram planning and prediction, program assessment, and program evaluation. Though purposes differ and techniques vary, the common…mehr
The past two decades have witnessed a dramatic increase in the demand for analyses of health and public affairs program data. Governments at the federal and state levels have stimulated, if not mandated, much of this increased de mand and spawned numerous not-for-profit and quasi-public organizations research groups, lobbying organizations, consulting firms-who actively use analytic techniques. Program analysis is a broad term that encompasses activities such as pro gram planning and prediction, program assessment, and program evaluation. Though purposes differ and techniques vary, the common denominator for all applications is the attempt to use quantitative techniques to provide compre hensive and objective analyses. Program analysis in public health and public affairs shares another common feature: In many cases the data collected for these applications are categorical in nature-that is, discrete information rep resented by categories. Whether a defendant in a criminal trial is convicted (yes, no), the number of times a person visits a community health center in a month (0,1,2,3, ... ), how a person feels about a proposed program (agree, disagree, not sure, no opinion)-these are examples of categorical data. This book describes a multivariate categorical data analysis technique the weighted-least-squares (WLS) approach developed by Grizzle, Starmer, and Koch (GSK)-applied to program analysis in health and public affairs. It is written for in-service professionals who desire an introduction to applied cate gorical data analysis and for preservice students who are studying quantitative methods.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
I: Foundations.- 1. Multidimensional Contingency Tables.- 2. Guidelines for Analysis.- 3. Contingency Table Analysis: The WLS Approach.- II: Simple Applications of the WLS Approach.- 4. One Response and Two Factor Variables.- 5. Interaction Among Factor Variables.- 6. Mean Scores.- 7. Log-Linear Models.- III: Advanced Applications of the WLS Approach.- 8. Multiple Response Functions.- 9. Rank Correlation Methods.- 10. Rank Choice Analysis.- 11. Follow-Up Life Table Analysis.- 12. Selected WLS Literature.- Appendixes.- Appendix A: Matrix Notation.- Matrix Definitions.- Matrix Arithmetic.- The Inverse Matrix.- System of Linear Equations-Scalar Presentation.- System of Linear Equations-Matrix Presentation.- Summary.- Exercises.- Appendix B: The Linear Model.- Traditional Approach to ANOVA.- Linear Model Approach to ANOVA.- Coding Methods.- Testing Hypotheses.- Two-Way ANOVA.- Interaction.- Summary.- Exercises.- Appendix C: Table of Chi-Square Values.- Appendix D: The GENCAT Computer Program.- An Overview of GENCAT.- Entering the Data to GENCAT.- Left-Hand Side of the Equation.- Right-Hand Side of the Equation.- Testing Individual Hypotheses.- Summary of Major Input to GENCAT.- GENCAT Input and Output for Chapter 4.- References.
I: Foundations.- 1. Multidimensional Contingency Tables.- 2. Guidelines for Analysis.- 3. Contingency Table Analysis: The WLS Approach.- II: Simple Applications of the WLS Approach.- 4. One Response and Two Factor Variables.- 5. Interaction Among Factor Variables.- 6. Mean Scores.- 7. Log-Linear Models.- III: Advanced Applications of the WLS Approach.- 8. Multiple Response Functions.- 9. Rank Correlation Methods.- 10. Rank Choice Analysis.- 11. Follow-Up Life Table Analysis.- 12. Selected WLS Literature.- Appendixes.- Appendix A: Matrix Notation.- Matrix Definitions.- Matrix Arithmetic.- The Inverse Matrix.- System of Linear Equations-Scalar Presentation.- System of Linear Equations-Matrix Presentation.- Summary.- Exercises.- Appendix B: The Linear Model.- Traditional Approach to ANOVA.- Linear Model Approach to ANOVA.- Coding Methods.- Testing Hypotheses.- Two-Way ANOVA.- Interaction.- Summary.- Exercises.- Appendix C: Table of Chi-Square Values.- Appendix D: The GENCAT Computer Program.- An Overview of GENCAT.- Entering the Data to GENCAT.- Left-Hand Side of the Equation.- Right-Hand Side of the Equation.- Testing Individual Hypotheses.- Summary of Major Input to GENCAT.- GENCAT Input and Output for Chapter 4.- References.
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