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Weisburd, Davidauthor

4th ed. 2014.

1 online resource (XVII, 783 pages 81 illustrations, 5 illustrations in color.)

Introduction: Statistics as a Research Tool -- Measurement: The Basic Building Block of Research -- Representing and Displaying Data -- Describing the Typical Case: Measures of Central Tendency -- How Typical is the Typical Case?: Measuring Dispersion -- The Logic of Statistical Inference: Making Statements about Populations from Sample Statistics -- Defining the Observed Significance Level of a Test: A Simple Example Using the Binomial Distribution -- Steps in a Statistical Test: Using the Binomial Distribution to make Decisions about Hypotheses -- Chi-Square: A Test Commonly Used for Nominal-Level Measures -- The Normal Distribution and its Application to Tests of Statistical Significance -- Comparing Means and Proportions in Two Samples -- Comparing Means Among More Than Two Samples -- Measuring the Association for Nominal and Ordinal Variables -- Measuring Association for Interval-Level Data -- An Introduction to Bivariate Regression -- Multivariate Regression -- Multivariate Regression: Additional Topics -- Logistic Regression -- Multivariate Regression with Multiple Category Nominal or Ordinal Measures -- Growth Curve Modeling -- Hierarchical Design -- Special Topics: Confidence Intervals -- Special Topics: Statistical Power -- Special Topics: Experimental Design -- Appendices -- Glossary -- Index

Britt, Chester