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Analyzing Social Science Data: 50 Key Problems in Data Analysis

Analyzing Social Science Data: 50 Key Problems in Data Analysis

David De Vaus
4/5 ( ratings)
In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships

The book is a tour de force in making data analysis manageable and rewarding for today′s undergraduate studying research methods.

`I′m full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis′ -
Alan Bryman, Professor of Social Research, Loughborough University
Language
English
Pages
402
Format
Paperback
Release
June 14, 2002
ISBN 13
9780761959380

Analyzing Social Science Data: 50 Key Problems in Data Analysis

David De Vaus
4/5 ( ratings)
In this novel and refreshing textbook, David de Vaus directs students to the core of data analysis. The book is an authoritative guide to the problems facing beginners in the field. Analyzing Social Science Data guides students in: problems with the initial data; problems with the initial variables; how to handle too much data; how to generalize; problems of analyzing single variables; problems examining bivariate relationships; and problems examining multivariate relationships

The book is a tour de force in making data analysis manageable and rewarding for today′s undergraduate studying research methods.

`I′m full of admiration for this book. Once again, David de Vaus has come up with a superb book that is well written and organized and which will be a boon to a wide range of students. He has taken a vast array of problems that users of quantitative data analysis procedures are likely to encounter. The selection of issues and problems ... reflects the experience of a true practitioner with a grasp of his field and of the intricacies of the research process. The selection of issues clearly derives also from experience of teaching students how to do research and analyse data....A large number of practitioners will want the book. I was surprised at how much I learned from this. This will be a vital book for the bookshelves of practitioners of the craft of quantitative data analysis′ -
Alan Bryman, Professor of Social Research, Loughborough University
Language
English
Pages
402
Format
Paperback
Release
June 14, 2002
ISBN 13
9780761959380

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