| Description |
1 online resource (312 pages) |
| Contents |
Cover; Half Title; Title; Copyright; Dedication; Contents; List of Tables; List of Figures; Preface to the First Edition; Preface to the Second Edition; 1 Introduction; A Fear of Statistics?; A Small Example; An Overview of the Chapters; Measurement and Levels of Measurement; Computers and Statistics; Important Terms; Suggested Readings; 2 Organization and Presentation of Data; Rates; Frequency Distribution; Pictorial Presentation; An SPSS Example: FREQUENCIES; Important Terms; Suggested Readings; 3 Descriptive Measures: Centrality; The Mode; The Median; Quartiles, Deciles, and Percentiles |
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The MeanGrouped Data; Coded Data; Notes on the Measures of Centrality; An SPSS Example; Important Terms; Suggested Readings; Quick Quiz Answers; Important Symbols Introduced in This Chapter; 4 Measures of Dispersion; Ranges; Deviation Measures; The Standard Deviation and the Normal Distribution; An SPSS Example: z-Scores; Important Terms; Suggested Readings; Quick Quiz Answers; 5 Bases of Statistical Inference, I: Probability and the Logic of Hypothesis Testing; Probability: A Way of Viewing the World; Basic Rules of Probability; Probability and Social Science |
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The Binomial Distribution and the Normal CurveProbability and the Logic of Hypothesis Testing; One-Tail and Two-Tail Tests; Important Terms; Suggested Readings; Quick Quiz Answers; 6 Bases of Statistical Inference, II: Sampling and Estimation; Populations and Samples; The Sampling Distribution of a Statistic; How Big Must a Sample Be?; An Adjustment for Small Populations; Estimation; The Standard Error; Sample Size and the Standard Error; Estimation from Finite Populations; Important Terms; Suggested Readings; Quick Quiz Answers; 7 Testing for the Difference Between Means; The t-Test |
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An SPSS Example of the t-TestImportant Terms; Suggested Readings; Quick Quiz Answers; 8 Analysis of Variance; An SPSS Example: ANOVA; Important Terms; Suggested Readings; 9 Measuring the Association Between Two Nominal Variables; The Concept of Statistical Association; Percentage Difference; Chi-Square: A Test of Statistical Independence; Additional Notes on Chi-Square; Other Measures of Association Based on Chi-Square; Lambda: A ""Proportional Reduction in Error"" Measure for Nominal-Level Data; The General Logic of PRE: Prediction Rules and Error Rules; Goodman and Kruskal's Tau |
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An SPSS ExampleImportant Terms; Suggested Readings; Quick Quiz Answers; 10 Measuring the Association Between Two Ordinal Variables; Gamma: A Symmetric Measure of One-Way Association; Kendall's Tau Statistics: Symmetric Measures of Mutual Association; Which Measure to Use?; Somers's d: An Asymmetric Measure of Association; Testing for the Significance of Gamma, Tau, and d; Spearman's Rank-Order Correlation Coefficient, Rho; An SPSS Example; Important Terms; Suggested Readings; Quick Quiz Answers; 11 Measuring the Association Between Two Interval Variables; The Pearson r2 as a PRE Measure |
| Notes |
The Pearson r |
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Print version record |
| Subject |
Social sciences -- Statistical methods.
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Empirische Sozialforschung
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Sozialwissenschaften
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Statistik
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Einführung
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Mathematics.
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mathematics.
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applied mathematics.
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Mathematics
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Social sciences -- Statistical methods
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| Form |
Electronic book
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| ISBN |
9780429969317 |
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0429969317 |
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