Experiment Design and Statistical Methods For Behavioural and Social Research: 1st Edition (Paperback) book cover

Experiment Design and Statistical Methods For Behavioural and Social Research

1st Edition

By David R. Boniface

Chapman and Hall/CRC

272 pages

Purchasing Options:$ = USD
Paperback: 9780412542305
pub: 1994-05-15
SAVE ~$18.00
$120.00
$102.00
x

FREE Standard Shipping!

Description

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research.

The text covers:

  • repeated measures

  • unbalanced and non-randomized experiments and surveys

  • choice of design

  • adjustment for confounding variables

  • model building and partition of variance

  • covariance

  • multiple regression

    Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

  • Table of Contents

    Part One: Statistical Design and Analysis for Basic Experiments

    Introduction

    Introduction to Four Basic Designs

    Overview of Concepts and Techniques

    Single-Factor Independent Groups Design

    Single-Factor Repeated Measures Design

    Two-Factor Independent Groups Design

    Single-Factor Independent Groups Design with Covariate

    Contrasts and Comparisons among Means

    Power and Sensitivity in Design Decisions

    Part Two: Unbalanced, Randomised and Survey Designs

    Unbalanced and Confounded Designs

    Multiple Regression

    Part Three: Analysis for Further Experiment Designs

    Two-Factor Designs with Between- and Within-Subject Factors

    Three-Factor Designs

    Appendices

    References

    Index

    Subject Categories

    BISAC Subject Codes/Headings:
    MAT029000
    MATHEMATICS / Probability & Statistics / General