Experimental Design and Analysis

Informationen zum Autor Current research centers on the development of neuropsychological diagnostic instruments for determining the visual processing deficits associated with right hemisphere brain lesions. Currently, a multifaceted search task is being employed in an attempt to distinguish parvo from magnocellular processing disorders. A second interest is in the sex differences that exist in the expression of these visual processing disorders and in other areas of neuropsychological assessment. Work also continues on the use of the Kent Perceptual Processing Inventory in neuropsychological assessment of learning disabilities and ADHD. Klappentext This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multigroup situation, the logic of the t test and completely randomized designs. Zusammenfassung Introduces the elements of experimental design and analysis. The text covers such topics as the fundamental concept of variability! hypothesis testing! how ANOVA can be extended to the multi-group situation and random designs. Inhaltsverzeichnis Introduction and Overview Variability Test Analysis of Variance Completely Randomized Design Comparisons and Trends Treatments by Blocks Algorithms Factorial Design Spilt-Plot and Repeated Measures Designs

Produktdetails

• Autoren: Steven Brown, Steven R. Brown, Brown Steven R., Lawrence Melamed, Lawrence E. Melamed, Melamed Lawrence E.
• Verlag: Sage Publications Ltd
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 15.09.1990
• EAN: 9780803938540
• ISBN: 978-0-8039-3854-0
• Seiten: 96
• Abmessung: 140 mm x 215 mm x 6 mm
• Serien: Quantitative Applications in t; Quantitative Applications in the Social Sciences; Quantitative Applications in t
• Themen: Naturwissenschaften, Medizin, Informatik, Technik; SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics, Social research & statistics, Social research and statistics