Opis: Nonparametric Statistics for Social and Behavioral Sciences - Marie Kraska-MIller

Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures. It also demonstrates practical applications of the most common nonparametric procedures using IBM's SPSS software. This text is the only current nonparametric book written specifically for students in the behavioral and social sciences. Emphasizing sound research designs, appropriate statistical analyses, and accurate interpretations of results, the text: Explains a conceptual framework for each statistical procedure Presents examples of relevant research problems, associated research questions, and hypotheses that precede each procedure Details SPSS paths for conducting various analyses Discusses the interpretations of statistical results and conclusions of the research With minimal coverage of formulas, the book takes a nonmathematical approach to nonparametric data analysis procedures and shows students how they are used in research contexts. Each chapter includes examples, exercises, and SPSS screen shots illustrating steps of the statistical procedures and resulting output.Introduction to Research in Social and Behavioral Sciences Basic Principles of Research Planning for Research Types of Research Designs Sampling Procedures Validity and Reliability of Measurement Instruments Steps of the Research Process Introduction to Nonparametric Statistics Data Analysis Overview of Nonparametric Statistics and Parametric Statistics Overview of Parametric Statistics Overview of Nonparametric Statistics Importance of Nonparametric Methods Measurement Instruments Analysis of Data to Determine Association and Agreement Pearson Chi-Square Test of Association and Independence Contingency Coefficient Phi Coefficient and Cramer's V Coefficient Kendall's Taub and Tauc Kappa Statistic Spearman Rank-Order Correlation Coefficient Analyses for Two Independent Samples Fisher's Exact Test for 2 x 2 Tables Median Test Wilcoxon-Mann-Whitney U Test Kolmogorov-Smirnov Two-Sample Test Hodges-Lehman Estimate for Confidence Interval Moses Extreme Reaction Test Analysis of Multiple Independent Samples Kruskal-Wallis One-Way Analysis of Variance by Ranks Test Extended Median Test Jonckheere-Terpstra Test with Ordered Alternatives Analysis of Two Dependent Samples McNemar Change Test Sign Test for Two Related Samples Wilcoxon Signed Rank Test Hodges-Lehman Estimate for Confidence Interval Tests for Multiple Related Samples Cochran Q Test Friedman Analysis of Variance by Ranks Test Kendall's Coefficient of Concordance (W) Analysis of Single Samples Binomial Test One-Sample Sign Test One-Sample Runs Test for Randomness Pearson Chi-Square Test for Goodness-of-Fit Kolmogorov-Smirnov One-Sample Test Index A Summary, Exercises, and References appear at the end of each chapter.

Szczegóły: Nonparametric Statistics for Social and Behavioral Sciences - Marie Kraska-MIller

Tytuł: Nonparametric Statistics for Social and Behavioral Sciences
Autor: Marie Kraska-MIller
Producent: CRC Press Inc.
ISBN: 9781466507609
Rok produkcji: 2013
Ilość stron: 260
Oprawa: Twarda
Waga: 0.51 kg

Recenzje: Nonparametric Statistics for Social and Behavioral Sciences - Marie Kraska-MIller