Statistics for the social sciences: a general linear model approach
Type
Book
Authors
ISBN 13
9781108814508
Category
Reference
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Publication Year
2021
Publisher
Cambridge University Press, United States
Pages
xix, 590 p.: ill.
Subject
1. Statistics--Methodology. 2. Social sciences--Statistical methods. 3. Mathematical statistics.
Tags
Abstract
The second edition of Statistics for Social Sciences prepares students from wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social science.
The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.
The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.
Description
Chapter 1 Statistics and Models
Chapter 2 Levels of Data
Chapter 3 Models of Central Tendency and Variability
Chapter 4 Visual Models
Chapter 5 Linear Transformations and Z-Scores
Chapter 6 Probability and the Central Limit Theorem
Chapter 7 Null Hypothesis Statistical Significance Testing and z-Tests
Chapter 8 One-Sample t-Tests
Chapter 9 Paired Two-Sample t-Tests
Chapter 10 Unpaired Two-Sample t-Tests
Chapter 11 Analysis of Variance
Chapter 12 Correlation
Chapter 13 Regression
Chapter 14 Chi-Squared Test
Chapter 15 Applying Statistics to Research and an Introduction to Advanced Statistical Methods
Chapter 2 Levels of Data
Chapter 3 Models of Central Tendency and Variability
Chapter 4 Visual Models
Chapter 5 Linear Transformations and Z-Scores
Chapter 6 Probability and the Central Limit Theorem
Chapter 7 Null Hypothesis Statistical Significance Testing and z-Tests
Chapter 8 One-Sample t-Tests
Chapter 9 Paired Two-Sample t-Tests
Chapter 10 Unpaired Two-Sample t-Tests
Chapter 11 Analysis of Variance
Chapter 12 Correlation
Chapter 13 Regression
Chapter 14 Chi-Squared Test
Chapter 15 Applying Statistics to Research and an Introduction to Advanced Statistical Methods
Biblio Notes
Notes:
Includes bibliographical references and index.
Includes bibliographical references and index.
Number of Copies
2
