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Clear and concise, How to Analyze Survey Data begins with a basic overview demonstrating what statistics can do for surveys, describing measurement scales in detail and showing how to choose a method to analyze results. The book includes checklists and guidelines as well as practice exercises to enable the reader to monitor their progress. A discussion of regression, hypothesis testing, and screening and transforming data is also included.
List of contents
How to Analyze Survey Data
Learning Objectives
What Statistics Do for Surveys
Relationships or Correlation
Selecting Commonly Used Statistical Methods for Surveys
About the author
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.
Summary
Begins with a basic overview demonstrating what statistics can do for surveys, describing measurement scales in detail and showing how to choose a method to analyze results. This book includes checklists and guidelines as well as practice exercises to enable the reader to monitor their progress.
