Nonparametric Statistics for the Behavioral SciencesThe use of statistical tests in research; Choosing an appropriate statistical test; The one-sample case; The case of two related samples; The case of two independent samples; The case of k related samples; The case of k independent samples; Measures of correlatin and their tests of significance. |
Contents
THE USE OF STATISTICAL TESTS IN RESEARCH | 6 |
CHOOSING AN APPROPRIATE STATISTICAL TEST | 18 |
THE ONESAMPLE CASE | 35 |
Copyright | |
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analysis of variance assigned associated probability assumptions authoritarianism binomial test cell Chap Cochran column common median compute the value contingency table critical values decision deviation discussion equal exact probability example expected frequencies Fisher test given in Table independent samples interval scale Kendall Kolmogorov-Smirnov test Kruskal-Wallis test large samples larger less level of significance Mann-Whitney test median test method nonparametric statistical tests normally distributed null hypothesis Number Square Square observed value one-tailed test ordinal scale parametric tests population power-efficiency predicted probability associated probability of occurrence randomization test reader Reference to Table region of rejection rejection consists Rejection Region related samples runs test sampling distribution sets of rankings shown in Table sign test Significance Level social status strivings Square Square root statistical tests subjects TABLE OF CRITICAL tion total number two-tailed test value as large value of x² values as extreme variable Wilcoxon x2 test