Experimental Design and Analysis

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Steven R. Brown - Nottingham Trent University, UK, Open University, UK
Lawrence E. Melamed - Kent State University, Ohio, USA

Volume: 74

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research

96 pages | SAGE Publications, Inc

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.

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

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Steven R. Brown

Lawrence E. Melamed

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. More About Author

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