Statistical Persuasion : How to Collect, Analyze, and Present Data... Accurately, Honestly, and Persuasively

by Robert W. Pearson

• ISBN13: 9781412974967
• ISBN10: 1412974968
• Format: Paperback
• Copyright: 2010-01-20
• Publisher: SAGE Publications, Inc

Summary

This text helps readers understand how to collect, manage, evaluate, and analyze data. It also provides guidelines for the presentation of analysis, especially for nonacademic audiences without training in statistical analysis. These guidelines help ensure that statistics and graphical displays tell the story that analysts want to convey while protecting their analysis from methodological criticism. Author Robert Pearson focuses attention on the conceptual understanding of statistics, while referring (sparingly) to specific formulas when they help reveal a conceptual point about the statistics.Key Features· Combines a concern for the design, collection, measurement, and the management of data with its analysis and presentation· Provides examples and data concerning real world problems in education, crime, government performance, and other policy arenas· Clearly demonstrates the steps used to generate the appropriate statistics and graphs in Excel and SPSS and then provides exercises to replicate and elaborate on these examplesThis book and its supporting materials are ideally suited for graduate students in professional degree programs in public policy, education, social work, criminology, urban planning, and related schools as well as advanced undergraduates in these fields. The book's explanations, descriptions, illustrations, and step-by-step exercises create the skills and knowledge required of a policy analyst, advisor, consultant or the elected or appointed public official or nonprofit officer who wants to be better able to interpret and evaluate others' applied social research. Its data sets, solutions sets, instructors' manual, lecture slides, and student workbook provide instructors with a complete and fully integrated instructional package.

Table of Contents

Preface

Acknowledgments

Introduction

Research Design and Data Collection

Measurement

Data Editing, Transformation, Index Construction, and Weights

Statistics as Description

Charts and Graphs

Percentages and Contingency Tables

Samples and Statistical Inference

Statistics as Group Differences

Statistics as Relationships

Regression Analysis

Detecting and Correcting Violations of Regression Assumptions

Time Series Analysis, Program Assessment, and Forecasting

Presenting Persuasive Statistical Analyses

From Whence Do Data Come? Key Statistical Sites From the U.S. Government

How to Select the Right Statistics

In-Class Questionnaire

References

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