David R Boniface

Experiment Design and Statistical Methods For Behavioural and Social Research

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 272
• Erscheinungstermin: 15. Mai 1994
• Englisch
• Abmessung: 246mm x 188mm x 16mm
• Gewicht: 463g
• ISBN-13: 9780412542305
• ISBN-10: 0412542307
• Artikelnr.: 20989749

Autorenporträt

David R. Boniface, University of Hertfordshire, Hatfield, UK.

Inhaltsangabe

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