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Statistical Persuasion

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

April 2010 | 424 pages | SAGE Publications, Inc
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 examples

This 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.

1. Introduction
2. Research Design and Data Collection
3. Measurement
4. Data Editing, Transformation, Index Construction, and Weights
5. Statistics as Description
6. Charts and Graphs
7. Percentages and Contingency Tables
8. Samples and Statistical Inference
9. Statistics as Group Differences
10. Statistics as Relationships
11. Regression Analysis
12. Detecting and Correcting Violations of Regression Assumptions
13. Time Series Analysis, Program Assessment, and Forecasting
14. Presenting Persuasive Statistical Analyses

I plan to recommend this text to our math department as a supplement to the existing Introduction to Statistics text.

Mr James Anthos
Business Administration Prog, South University - Columbia
May 17, 2011

I am using this text to enhance current lecture materials.

Dr Jean Bronk
Schools of Graduate and Professional Programs, St Mary's University - Twin Cities
March 24, 2011

The focus was different than the focus for my course.

Professor Jeanne Horst
Psychology Dept, Eastern Mennonite University
March 22, 2011

This is a good supplementary reading text.

Professor Paul Hackett
Marketing Communication Dept, Emerson College
September 1, 2010

THe text is very well written and readable. However, I do not want to encourage my statistcs students to use Excel EVER, so I didn't recommend this book. It is a great book to those who may use Excel for data analysis.

Dr Kristen Archbold
College of Nursing, University of Arizona
August 23, 2010

This is a good entry level statistics textbook for students with social sciences major. There are no hard math concepts but all of straight forward description to allow students to understand the basics of quantitative analytical approaches. The explanation of the SPSS (now named as PASW) is clear. Supplemental exercises are easy to follow. I don't think students will have anymore fear to math, statistics, and computer software after reading this book.

Dr Jeff Shen
School Of Psychology, Capella University
March 15, 2010

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ISBN: 9781412974967

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