Discusses the most common quantitative research methods needed for research with human subjects. This text covers aspects of experimental design and analysis required for small - and large - scale research both in real world settings and in laboratories.
Discusses the most common quantitative research methods needed for research with human subjects. This text covers aspects of experimental design and analysis required for small - and large - scale research both in real world settings and in laboratories.
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
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
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