Basic Statistics for Social Research offers an introduction to core general statistical concepts and methods. It covers procedural aspects of the application of statistical methods for data-description ; and hypothesis-testing ; distributions, tabulations, central tendency, variability, independence, correlation and regression. 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. The book is designed for students in the social sciences.
ROBERT A. HANNEMAN is a professor of sociology at the University of California,Riverside.
AUGUSTINE J. KPOSOWA is a professor of sociology at the University of California, Riverside.
MARK D. RIDDLE is the Director of Institutional Research at Antioch University Los Angeles.
Tables and Figure
Part 1 Univariate Description
Chapter 1: Statistics and the Research Process
Chapter 2: Frequency Distribution
Chapter 3: Central Tendency
Chapter 4: Dispersion
Chapter 5: Distribution Shape
Part 2 Inference and Hypothesis Testing
Chapter 6: The Normal Distribution
Chapter 7: Basic Ideas of Statistical Inference
Chapter 8: Hypothesis Testing for One Sample
Chapter 9: Hypothesis Testing for Two Samples
Chapter 10: Multiple Group Tests for Proportions: Chi-square
Chapter 11: Multiple Sample Tests for Means: One-way ANOVA
Part 3 Association and Prediction
Chapter 12: Association with Categorical Variables
Chapter 13: Association with Interval/Ratio Variables
Chapter 14: Prediction for Interval/Ratio Outcomes
Chapter 15: Prediction for Categorical Outcomes