This is a practical non-parametric handbook of statistical tests for use in general research, but particularly useful in the fields of Behavioural and Neural Sciences. Topics covered include: a full explanation of statistical terms, correct test choice and applications, small and large sample procedures, interpretation of test results, dependence testing and independent and dependent testing of two, three or more samples. Many of these tests are based on extensive modern statistical research, so are more relevant and accurate than the earlier book on the subject (Siegel 1956). Results obtained from traditional and modern methodologies have been investigated and included for comparison of significance and variance by the reader.
This is a practical non-parametric handbook of statistical tests for use in general research, but particularly useful in the fields of Behavioural and Neural Sciences. Topics covered include: a full explanation of statistical terms, correct test choice and applications, small and large sample procedures, interpretation of test results, dependence testing and independent and dependent testing of two, three or more samples. Many of these tests are based on extensive modern statistical research, so are more relevant and accurate than the earlier book on the subject (Siegel 1956). Results obtained from traditional and modern methodologies have been investigated and included for comparison of significance and variance by the reader.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Maße
Höhe: 230 mm
Breite: 150 mm
ISBN-13
978-0-444-80934-6 (9780444809346)
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Schweitzer Klassifikation
Preface. A Explanation of statistical terms. A1 Design. A2 Assumptions. A3 Null and alternative hypotheses. A4 Interpretation of test results. A5 Small sample procedures. A6 Large sample procedures. A7 Power and efficiency. A8 Multiple tests. A9 Combination of independent tests. B Two-sample tests of heterogeneity. B1 Independent samples. B2 Dependent samples. B3 Independent matched samples. C Two-sample tests of dependence. C1 Pitman's randomization test for interval-scale data. C2 Tests for ordinal-scale data. C3 Tests for nominal-scale data. D Tests of heterogeneity for three or more samples. D1 Independent samples. D2 Dependent samples. D3 Independent matched samples. References. Appendix. I. Factorials. II. Standard normal distribution. III. Chi square distribution. IV. Wilcoxon's rank-sum test. V. Critical values for the hypergeometric distribution (Fisher's fourfold table test). VI. Binomial distribution. VII. Spearman's rank correlation test. VIII. Upper critical values for the Kruskal-Wallis test. IX. Critical values for the rank test for trend. X. Upper critical values for Friedman's test. Subject index.