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Analyzing Social Science Data: 50 Key Problems in Data Analysis
 
 
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Analyzing Social Science Data: 50 Key Problems in Data Analysis [Paperback]

David de Vaus (Author)

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Book Description

0761959386 978-0761959380 June 15, 2002 1st

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


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Inside This Book (learn more)
First Sentence:
Coding is a method of representing categories and values of a variable so that: responses are converted to a form suited to statistical analysis; data become more manageable by grouping similar responses. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
conditional tables, partial gamma, factor based scales, case satisfies condition, conditional correlations, elaboration analysis, overlapping variance, substantive hypothesis, partial table, bias variable, low significance level, different correlation coefficients, entering variables, reverse coding, interval variables, data analysis stage, ordinal variables, conditional relationships, numeric expression, job prestige, cent confidence level
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Analyze Descriptive Statistics, High Low, Category Axis, Title Line, Transform Compute, Error of the Estimate, New Value Add, Square Adjusted, Square Std, Test Variable List, Age Figure, Analyze Scale, Column Continue, Dependent List, Roman Catholic, Australian Election Survey, Mean Square, Model Sum of Squares, Square Change, Continue Titles, Define Groups, Histogram Continue, Low Transform, Missing Missing Case, Next Enter Insert
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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