Experiment Design and Statistical Methods For Behavioural and Social Research

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CRC Press, May 15, 1994 - Mathematics - 272 pages
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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.
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    Contents

    Introduction to four basic designs
    6
    Overview of concepts and techniques
    17
    Singlefactor independent groups design
    26
    Singlefactor repeated measures design
    38
    Twofactor independent groups design
    50
    Singlefactor independent groups design with covariate
    68
    Contrasts and comparisons among means
    76
    Power and sensitivity in design decisions
    84
    Multiple regression
    130
    Twofactor designs with between and wi thinsubjects factors
    145
    Threefactor designs
    161
    Hints on use of computer programs
    187
    Solutions to exercises for Chapters 413
    217
    Approximate degrees of freedom for test of significance
    243
    References
    258
    Copyright

    Unbalanced NonRandomized and Survey Designs
    99

    Common terms and phrases

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