Basic Statistics for Social Research 1st Edition by Robert Hanneman, Augustine Kposowa, Mark Riddle 0470587989 9780470587980

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ISBN 10: 0470587989

ISBN 13: 9780470587980

Author: Robert A. Hanneman, Augustine J. Kposowa, Mark D. Riddle

Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. It covers logical and procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions, tabulations, central tendency, variability, independence, correlation and regression. The book has been designed for students in the social sciences by its choice of topics, examples, and exercises. The book’s emphasis is applied. The use of math and theory are deliberately limited, and the authors focus on how the concepts and tools of statistics are used in the analysis of social science data, rather than on the mathematical and computational aspects. The book also emphasizes the use of computer software to calculate statistics. Each chapter is organized around a general idea or ideas that are explained at the beginning, and then applied in increasing detail in the body of the text. The authors’ intent is to convey and develop a conceptual understanding of a core idea (for example, dispersion) and to use the detailed elaboration of procedures and applications to real problems to more deeply ingrain the core concept. The book emphasizes the logic of inquiry over the mechanics of calculation.The logical steps in describing a distribution, testing a hypothesis, or making a prediction are used to organize the discussions of the technical details of applying the processes to different data types. Research questions and applications are taken from a wide variety of sub-fields in sociology. The textbook relies on minimal math, and approach that works well with students of extremely diverse academic and social backgrounds. 

Basic Statistics for Social Research 1st Table of contents:

PART I: Univariate Description

Chapter 1: Using Statistics

Why Study Statistics?

Tasks for Statistics: Describing, Inferring, Testing, Predicting

Statistics in the Research Process

Basic Elements of Research: Units of Analysis and Variables

Chapter 2: Displaying One Distribution

Summarizing Variation in One Variable

Frequency Distributions for Nominal Variables

Frequency Distributions for Ordinal Variables

Frequency Distributions for Interval/Ratio Variables

Summarizing Data Using Excel

Chapter 3: Central Tendency

The Basic Idea of Central Tendency

The Mode

The Median

The Mean

Chapter 4: Dispersion

The Basic Idea of Dispersion

Dispersion of Categorical Data

Dispersion of Interval/Ratio Data

Chapter 5: Describing the Shape of a Distribution

The Basic Ideas of Distributional Shape

The Shape of Nominal and Ordinal Distributions

Unimodality

Skewness

Kurtosis

Some Common Distributional Shapes

Chapter 6: The Normal Distribution

Introduction to the Normal Distribution

Properties of Normal Distributions

The Standard Normal, or Z, Distribution

Working with Standard Normal (Z) Scores

Finding Areas “Under the Curve”

PART II: Inference and Hypothesis Testing

Chapter 7: Basic Ideas of Statistical Inference

Introduction to Statistical Inference

Sampling Concepts

Central Tendency Estimates

Assessing Confidence in Point Estimates

Chapter 8: Hypothesis Testing for One Sample

Hypothesis Testing

The Testing Process

Tests about One Mean

Tests about One Proportion

Chapter 9: Hypothesis Testing for Two Samples

Comparing Two Groups

Comparing Two Groups’ Means

Comparing Two Groups’ Proportions

Nonindependent Samples

Using Excel for Two-Sample Tests

Interpreting Group Differences

Chapter 10: Multiple Sample Tests of Proportions: Chi-Squared

Comparing Proportions across Several Groups

Testing for Multiple Group Differences

Describing Group Differences

Chapter 11: Multiple Sample Tests for Means: One-Way ANOVA

Comparing Several Group Means with Analysis of Variance

Analyzing Variance and the F-Test

Analyzing Variance

The F-Test

Comparing Means

PART III: Association and Prediction

Chapter 12: Association with Categorical Variables

The Concept of Statistical Association

Association with Nominal Variables

Association with Ordinal Variables

Chapter 13: Association of Interval/Ratio Variables

Visualizing Interval/Ratio Association

Significance Testing for Interval/Ratio Association

Chapter 14: Regression Analysis

Predicting Outcomes with Regression

Simple Linear Regression

Applying Simple Regression Analysis

Multiple Regression

Applying Multiple Regression

Chapter 15: Logistic Regression Analysis

Predicting with Nonlinear Relationships

Logistic Regression

The Logistic Regression Model

Interpreting Effects in Logistic Regression

Estimating Logistic Regression Models with Maximum Likelihood

Applying Logistic Regression

Assessing Partial Effects

Extending Logistic Regression

APPENDIX

Chi-Squared Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01

F-Distribution: Critical Values for Commonly Used Alpha = 0.05 and Alpha = 0.01

Standard Normal Scores (Z-Scores), and Cumulative Probabilities (Proportion of Cases Having Scores below Z)

Student’s t-Distribution: Critical Values for Commonly Used Alpha Levels

Index

End User License Agreement

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