# Analyzing Social Science Data: 50 Key Problems in Data Analysis

SAGE, Sep 17, 2002 - Social Science - 401 pages

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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something about discriminant validity and convergent validity

### Contents

 How to Code Questions with Multiple Answers 10 Can the Respondents Answers be Relied on? 17 How to Check that the Right Tfling is being Measured 25 Is the Sample Large Enough to Achieve Statistical 26 How to Prepare Variables for Analysis 33 How to Identify and Change the Level 40 How to Deal with Questions that Fail to Identify Real 48 How to Rearrange the Categories of a Variable 54
 How to Analyse a Single Variable 195 How to Use Graphs for Single Variables 203 Which Summary Statistics to Use to Describe 218 Which Statistic to Use to Generalize about 228 How to Analyse Two Variables 237 Which Graph to Use 246 exnuptial children by age group percentages 250 How to Narrow down the Choice When 265

 What to do with Gaps in the Data 64 What to do with People who Dont Know Have 72 How to Tell if the Relationship is Linear 82 two variables 83 How to Tell if Outlier Cases are a Problem 92 What to do if the Required Variable is not Available 99 Comparing 107 How to Reduce the Amount of Data to Analyse 113 How to Build a Good Likert Scale 124 How to Build a Scale Using Factor Analysis 134 Part Four How and When to Generalize 147 How to Weight Samples to Adjust for Bias 160 What are Tests of Significance? 166 What Factors Affect Significance Levels? 175 using different variation assumptions 184 Should Confidence Interuals be Used? 187
 Wftich Correlation? 274 How to Tell if Groups are Different 288 Which Test of Significance? 293 How are Confidence Intervals used in Bivariate Analysis? 306 How to Cany out Multivariate Analysis 315 Using Conditional Tables as a Method 321 Using Conditional Correlations for Elaboration Analysis 328 Using Partial Correlations for Elaboration Analysis 337 WItat Type of Data are Needed for Multiple Regression? 343 How to do a Multiple Regression 353 How to Use Noninterval Variables in Multiple Regression 368 Wliat does the Multiple Regression Output Mean? 374 Wttat Other Multivariate Methods are Available? 383 References 391 Copyright

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David De Vaus is Associate Professor of Sociology at La Trobe University, Melbourne. He is the author of Surveys in Social Research and Research Design in Social Research. He is an international authority in the field of social research.