Experimental Design and Analysis

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Steven R. Brown - Nottingham Trent 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 (General)

September 1990 | 96 pages | SAGE Publications, Inc

Description
Contents

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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