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Bemærk: Kan ikke leveres før jul.
This book takes an original approach to teaching about qualitative research by providing rich examples of stories of various student qualitative research experiences.
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Provides methods for determining the validity of evidence and how to justify an acceptable level of "proof" based on science, experience, and values
Bemærk: Kan ikke leveres før jul.
Drawing on the work of David Cooperrider and other pioneers in the area of appreciative inquiry (AI) to bridge the gap between consulting activity and academic... Læs mere
Bemærk: Kan ikke leveres før jul.
Including a new section on evaluation accountability, this Third Edition details 30 standards which give advice to those interested in planning, implementing and using program evaluations.
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Extending upon the work presented in her first multi-award-winning book, Communicating in the Clinic, in this book Ellingson teaches others how to use crystallization, providing practical guidance for researchers' and students' implementation, thereby de-mystifying the process.
Bemærk: Kan ikke leveres før jul.
Provides a user-friendly, practical discussion of (a) what the procedure is and why it is used, (b) the assumptions underlying the procedure, (c) what to look for when interpreting output, and (d) how to write the results of the analysis in correct APA style.
Bemærk: Kan ikke leveres før jul.
Explores the many conceptual choices that an evaluator needs to make - from attention to stakeholders, to weighing ethical risks, to writing a useful report - when doing an evaluation. This book presents evaluation as a series of choices for the reader.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Using real research on antisocial behaviours such as cyberbullying, prejudice and discrimination, this text helps readers across the social sciences to understand the underlying theory behind statistical methods.
Bemærk: Kan ikke leveres før jul.
Clearly and precisely shows how SEM can be used to answer or provide insight to substantive questions, specifically by weaving a small set of empirical examples and data throughout the chapters
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Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.
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Covers the important new developments in meta-analysis methods over the last 14 years