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Experimental design and analysis [electronic resource] / Steven R. Brown, Lawrence E. Melamed.

By: Brown, Steven R. (Steven Randall), 1939-.
Contributor(s): Melamed, Lawrence E.
Material type: TextTextSeries: Quantitative applications in the social sciences: no. 07-074.Publisher: Newbury Park, Calif. : Sage Publications, c1990Description: 1 online resource (vi, 86 p.) : ill.ISBN: 0585216835 (electronic bk.); 9780585216836 (electronic bk.); 9781412984218 (electronic bk.); 1412984211 (electronic bk.).Subject(s): Social sciences -- Statistical methods | Statistical hypothesis testing | Sciences sociales -- M�ethodes statistiques | Tests d'hypoth�eses (Statistique) | SOCIAL SCIENCE -- Methodology | Statistische methoden | Sociale wetenschappen | Estatistica aplicada as ciencias sociais | Sciences sociales -- M�ethodes statistiques | Tests d'hypoth�eses (statistique) | Social sciences Statistical mathematicsGenre/Form: Electronic books.Additional physical formats: Print version:: Experimental design and analysis.DDC classification: 300/.1/5195 Other classification: 70.03 Online resources: EBSCOhost
Contents:
1. Introduction and overview -- 2. Variability -- 3. t test -- 4. Analysis of variance -- 5. Completely randomized design -- 6. Comparisons and trends -- A priori comparisons -- The dunn test -- Trend analysis -- A posteriori comparisons -- 7. Treatments by blocks -- 8. Algorithms -- Nesting and cross-classifying subjects -- Degrees of freedom and sums of squares -- Mean squares and F ratios -- 9. Factorial design -- A Posteriori Testing -- Hierarchical designs -- 10. Split-plot and repeated measures designs.
Summary: Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.
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Includes bibliographical references (p. 84-85).

1. Introduction and overview -- 2. Variability -- 3. t test -- 4. Analysis of variance -- 5. Completely randomized design -- 6. Comparisons and trends -- A priori comparisons -- The dunn test -- Trend analysis -- A posteriori comparisons -- 7. Treatments by blocks -- 8. Algorithms -- Nesting and cross-classifying subjects -- Degrees of freedom and sums of squares -- Mean squares and F ratios -- 9. Factorial design -- A Posteriori Testing -- Hierarchical designs -- 10. Split-plot and repeated measures designs.

Description based on print version record.

Experimental design is one of the most fundamental topics in social science statistics. This book introduces the reader to the elements of experimental design and analysis through careful explanations of the procedures as well as through illustrations using actual examples.

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Other editions of this work

Experimental design and analysis by Brown, Steven R. ©1990
Experimental design and analysis by Brown, Steven R. ©1990
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