This book is for students who are embarking on a qualitative research project in psychology or a related discipline. While focusing mainly on undergraduate dissertations, this book will also be useful for postgraduate students. It takes you through planning a qualitative project, stage by stage, addressing key issues and concerns along the way. The focus throughout is on how to make your project excellent! Packed full of examples from student projects to help you to put theory into practice, the book guides you through: . designing your research . ethical considerations . collecting your data…mehr
This book is for students who are embarking on a qualitative research project in psychology or a related discipline. While focusing mainly on undergraduate dissertations, this book will also be useful for postgraduate students. It takes you through planning a qualitative project, stage by stage, addressing key issues and concerns along the way. The focus throughout is on how to make your project excellent! Packed full of examples from student projects to help you to put theory into practice, the book guides you through: . designing your research . ethical considerations . collecting your data . analysing your data . writing your report or dissertation. In addition, the book will help you with time management and working with your supervisor, as well as providing guidance on how you can use your project as the basis for publication or further study.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Roger E. Kirk received his Ph.D. in experimental psychology from the Ohio State University and did post doctoral study in mathematical psychology at the University of Michigan. He was a Distinguished Professor of Psychology and Statistics at Baylor University. He founded, and for 25 years, directed Baylor's Behavioral Statistics Ph.D. program and the Institute of Statistics, now the Department of Statistical Science. He published extensively in the areas of statistics, psychoacoustics, and human engineering, and authored five statistics books. Experimental Design: Procedures for the Behavioral Sciences, his first book, was identified by the Institute for Scientific Information as one of the most frequently cited books in its field. In recognition of his teaching effectiveness, he was named the Outstanding Tenured Teacher in the College of Arts and Sciences and designated a Master Teacher, Baylor University's highest teaching honor. He was the 2005 recipient of the Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring from the Division of Evaluation, Measurement, and Statistics of the American Psychological Association.
Inhaltsangabe
Chapter 1. Research Strategies and the Control of Nuisance Variables Chapter 2. Experimental Designs: an Overview Chapter 3. Fundamental Assumptions in Analysis of Variance Chapter 4. Completely Randomized Design Chapter 5. Multiple Comparison Tests Chapter 6. Trend Analysis Chapter 7. General Linear Model Approach to ANOVA Chapter 8. Randomized Block Designs Chapter 9. Completely Randomized Factorial Design with Two Treatments Chapter 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design Chapter 11. Hierarchical Designs Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding Chapter 13. Analysis of Covariance Chapter 14. Latin Square and Related Designs Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding
Chapter 1. Research Strategies and the Control of Nuisance Variables Chapter 2. Experimental Designs: an Overview Chapter 3. Fundamental Assumptions in Analysis of Variance Chapter 4. Completely Randomized Design Chapter 5. Multiple Comparison Tests Chapter 6. Trend Analysis Chapter 7. General Linear Model Approach to ANOVA Chapter 8. Randomized Block Designs Chapter 9. Completely Randomized Factorial Design with Two Treatments Chapter 10. Completely Randomized Factorial Design with Three or More Treatments and Randomized Block Factorial Design Chapter 11. Hierarchical Designs Chapter 12. Split-Plot Factorial Design: Design with Group-Treatment Confounding Chapter 13. Analysis of Covariance Chapter 14. Latin Square and Related Designs Chapter 15. Confounded Factorial Designs: Designs with Group-Interaction Confounding Chapter 16. Fractional Factorial Designs: Designs with Treatment-Interaction Confounding
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