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How To Design Survey Studies de Arlene G. Fink

How To Design Survey Studies

Autor Arlene G. Fink
en Limba Engleză Paperback – 13 ian 2003
''''&BAD:quot;This book lays out the essential information about commonly used designs for the reader. The presentation of extremely complicated and technical information is excellent. The exercises are very valuable to use in the classroom as they will help to reinforce the learning of design principles.&BAD:quot;''--Kathleen Sexton-Radek, Elmhurst College''Which survey design should you select and use for your survey? For what purpose do you want to use your survey---to describe, compare, or predict attitudes, knowledge or behavior? In this book, the author provides lots of examples and explanations of the major features of high-quality survey systems. Guidelines are provided for experimental and observational designs of surveys, as well as for cross-sectional, cohort and case-control designs. In addition, the author provides checklists of risks to avoid for internal and external validity of a design. New to this edition is coverage of descriptive and experimental factorial designs.
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Specificații

ISBN-13: 9780761925781
ISBN-10: 0761925783
Pagini: 96
Dimensiuni: 152 x 229 x 7 mm
Greutate: 0.15 kg
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Recenzii

"This book lays out the essential information about commonly used designs for the reader. The presentation of extremely complicated and technical information is excellent. The exercises are very valuable to use in the classroom as they will help to reinforce the learning of design principles."

Cuprins

How to Design Survey Studies: Learning Objectives
Ch 1. Useful Surveys
Features of Well-Designed Survey Studies
Measurable Objectives
Sound Research Design
Reliable and Valid Instruments
Appropriate Analysis
Accurate Reporting
Accurate Reporting
Checklist of Questions to Ask When Choosing a Survey Design
Ch 2. Classification of Designs for Survey Studies
Experiments
Concurrent Controls and Random Assignment
Guidelines for Experimental Designs Involving Randomly Assigned Concurrent Controls
Concurrent Controls but No Random Assignment
Self-Controls
Historical Controls
Combinations
Descriptions (or Observations)
Cross-sectional Designs
Cohort Designs
Case-Control Designs
Internal and External Validity
Internal Invalidity: Checklist of Risks to Avoid
External Invalidity: Checklist of Risks to Avoid
Nine Commonly Used Study Designs
Exercises
Answers
Suggested Readings
Glossary
About the Author

Notă biografică

Arlene Fink (PhD) is Professor of Medicine and Public Health at the University of California, Los Angeles, and president of the Langley Research Institute. Her main interests include evaluation and survey research and the conduct of research literature reviews as well as the evaluation of their quality. Dr. Fink has conducted scores of evaluation studies in public health, medicine, and education. She is on the faculty of UCLA¿s Robert Wood Johnson Clinical Scholars Program and is a scientific and evaluation advisor to UCLA¿s Gambling Studies and IMPACT (Improving Access, Counseling & Treatment for Californians with Prostate Cancer) programs. She consults nationally and internationally for agencies such as L¿institut de Promotion del la Prévention Secondaire en Addictologie (IPPSA) in Paris, France, and Peninsula Health in Victoria, Australia. Professor Fink has taught and lectured extensively all over the world and is the author of more than 130 peer-reviewed articles and 15 textbooks.

Descriere

"This book lays out the essential information about commonly used designs for the reader. The presentation of extremely complicated and technical information is excellent. The exercises are very valuable to use in the classroom as they will help to reinforce the learning of design principles."
--Kathleen Sexton-Radek, Elmhurst College
Which survey design should you select and use for your survey? For what purpose do you want to use your survey---to describe, compare, or predict attitudes, knowledge or behavior? In this book, the author provides lots of examples and explanations of the major features of high-quality survey systems. Guidelines are provided for experimental and observational designs of surveys, as well as for cross-sectional, cohort and case-control designs. In addition, the author provides checklists of risks to avoid for internal and external validity of a design. New to this edition is coverage of descriptive and experimental factorial designs.