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Public Program Analysis

A New Categorical Data Approach

  • Authors
  • Ron N. Forthofer
  • Robert G. Lehnen

Table of contents

  1. Front Matter
    Pages N1-xxi
  2. Foundations

    1. Front Matter
      Pages 1-1
    2. Ron N. Forthofer, Robert G. Lehnen
      Pages 3-6
    3. Ron N. Forthofer, Robert G. Lehnen
      Pages 7-18
    4. Ron N. Forthofer, Robert G. Lehnen
      Pages 19-38
  3. Simple Applications of the WLS Approach

    1. Front Matter
      Pages 39-39
    2. Ron N. Forthofer, Robert G. Lehnen
      Pages 41-54
    3. Ron N. Forthofer, Robert G. Lehnen
      Pages 55-74
    4. Ron N. Forthofer, Robert G. Lehnen
      Pages 75-97
    5. Ron N. Forthofer, Robert G. Lehnen
      Pages 98-118
  4. Advanced Applications of the WLS Approach

    1. Front Matter
      Pages 119-119
    2. Ron N. Forthofer, Robert G. Lehnen
      Pages 121-145
    3. Ron N. Forthofer, Robert G. Lehnen
      Pages 146-163
    4. Ron N. Forthofer, Robert G. Lehnen
      Pages 164-190
    5. Ron N. Forthofer, Robert G. Lehnen
      Pages 191-210
    6. Ron N. Forthofer, Robert G. Lehnen
      Pages 211-215
  5. Back Matter
    Pages 217-294

About this book

Introduction

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.

Keywords

coding contingency table data analysis evaluation health information organization public health research service

Bibliographic information