| Description |
1 online resource (251 pages) : illustrations |
| Contents |
1. Introduction -- 2. Description of responses -- 3. Description of relationships between variables -- 4. Confidence intervals and statistical tests of hypothesis -- 5. Introduction to linear, logistic, poisson, and other regression models -- 6. About statistical modelling -- 7. Principles for the validation of a composite score -- 8. Introduction to structural equation modelling -- 9. Introduction to data manipulation using R |
| Summary |
"Useful for readers wishing to transfer knowledge of survey analysis and its application in other statistical packages to R. Insights in how a practitioner can use R to analyze one particular survey are very helpful and can be readily applied to one's own work. this text would be handy to have on my bookshelf to refer to when conducting survey analyses. a good book to have "--Gregory E. Gilbert, The American Statistician, November 2014" excellently written and documented. The text covers many of the real-life concerns that arise when analyzing questionnaire data . I recommend the book to any researchers and post-graduates embarking upon questionnaire design and analysis for the first time, especially in the field of social sciences."-International Statistical Review, 80, 2012"[T]he book is nicely compact, well organized, and for the reader who is already familiar with R, sampling, and survey methodology, it is quite easy to jump from section to section and read through them quickly. I have found myself already referring to portions of the text as I consider various survey analyses, and I have recommended at least portions of it to students and colleagues. an interesting and well-written book ."-Ronald D. Fricker, Jr., Journal of Statistical Software, Vol. 46, January 2012 |
| Notes |
"A Chapman & Hall book." |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Questionnaires -- Data processing.
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R (Computer program language)
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REFERENCE -- Research.
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Questionnaires -- Data processing
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R (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781439817674 |
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1439817677 |
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