Social Statistics: The Basics and Beyond / Edition 1

Social Statistics: The Basics and Beyond / Edition 1

by Thomas J. Linneman
     
 

ISBN-10: 0415805015

ISBN-13: 9780415805018

Pub. Date: 12/16/2010

Publisher: Taylor & Francis

With just the right level of detail, and a graphically innovative approach, this book carefully guides students through the statistical techniques they will encounter in the real world. The basics are covered in a non-intimidating way for your students, plus multiple regression, interaction effects, logistic regression, non-linear effects. The book uses three

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Overview

With just the right level of detail, and a graphically innovative approach, this book carefully guides students through the statistical techniques they will encounter in the real world. The basics are covered in a non-intimidating way for your students, plus multiple regression, interaction effects, logistic regression, non-linear effects. The book uses three datasets throughout: General Social Survey, American National Election Studies, World Values Survey, and includes SPSS demonstrations at the end of each chapter.

Most of your students will likely take only one stats course and use only one stats book in their college careers. This one innovatively equips them for their worlds ahead, regardless of the career paths they follow.

Product Details

ISBN-13:
9780415805018
Publisher:
Taylor & Francis
Publication date:
12/16/2010
Series:
Contemporary Sociological Perspectives Series
Edition description:
Older Edition
Pages:
576
Product dimensions:
7.50(w) x 9.30(h) x 1.10(d)

Related Subjects

Table of Contents

Part 1: The Basics 1. Data: What They Are and What We Do With Them 2. Telling Visual Stories: Tables and Graphs 3. The Center and What Surrounds It: Measures of Central Tendency and Variation 4. Speaking Beyond the Sample with Crosstabs: The Chi-Square Test 5. Speaking Beyond the Sample with a Mean or Proportion: Confidence Intervals 6. Speaking Beyond the Sample with More Than One Mean: T-Tests and ANOVA 7. Ratio-Level Relationships: Bivariate Correlation and Regression 8. Speaking Beyond the Sample with Slopes: Inference and Regression Part 2: Beyond the Basics 9. Dichotomies as Independent Variables: Reference Grouping 10. The Logic and Power of Controlling: Nested Regression Models 11. Comparing and Contrasting Regression Slopes: Beta Coefficients 12. Catching Up or Falling Behind: Interaction Effects 13. Predicting Probabilities Instead of Values: Logistic Regression 14. Telling Visual Stories with Regression: Path Analysis 15. Questioning the Greatness of Straightness: Nonlinear Relationships

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