Analyzing Social Science Data: 50 Key P... | WHSmith Books
Analyzing Social Science Data: 50 Key Problems in Data Analysis

Analyzing Social Science Data: 50 Key Problems in Data Analysis

By: David De Vaus (author)Hardback

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Description

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

About Author

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.

Contents

PART ONE: HOW TO PREPARE DATA FOR ANALYSISHow to Code DataHow to Code Questions with Multiple AnswersCan the Respondent's Answers be Relied on?How to Check that the Right Thing is Being MeasuredTWO: HOW TO PREPARE VARIABLES FOR ANALYSISHow to Deal with Variables with Lots of Categories How to Identify and Change the Level of Measurement of VariablesHow to Deal with Questions that Fail to Identify Real Differences Between CasesHow to Rearrange the Categories of a VariableWhat to do with Gaps in the DataWhat to do with People who 'Don't Know', 'Have no Opinion' or 'Can't Decide'How to Tell if the Distribution is NormalHow to Tell if the Relationship is LinearHow to Tell if Outlier Cases are a ProblemWhat to do if the Required Variable is not AvailableHow to Compare Apples with Oranges Comparing Scores on Different VariablesPART THREE: HOW TO REDUCE THE AMOUNT OF DATA TO ANALYSEHow to Work Out Which Variables to UseHow to Combine Information from a Set of Variables into a Single MeasureHow to Build a Good Likert ScaleHow to Build a Scale Using Factor AnalysisPART FOUR: HOW AND WHEN TO GENERALISEWhat Does it Mean to Generalize?How to Judge the Extent and Effect of Sample BiasHow to Weight Samples to Adjust for BiasWhat are Tests of Significance?Should Tests of Significance be Used?What Factors Affect Significance Levels?Is the Sample Large Enough to Achieve Statistical Significance?Should Confidence Intervals be Used?PART FIVE: HOW TO ANALYSE A SINGLE VARIABLEHow to Use Tables Effectively to Display the Distribution of a Single VariableHow to Use Graphs for Single VariablesWhich Summary Statistics to Use to Describe a Single VariableWhich Statistics to Use to Generalise about a Single VariablePART SIX: HOW TO ANALYSE TWO VARIABLESHow and When to Use CrosstabulationsWhich Graph to UseHow to Narrow down the Choice When Selecting Summary StatisticsHow to Interpret a Correlation CoefficientWhich Correlation?How much Impact Does a Variable Have?How to Tell if Groups are DifferentWhich Test of Significance?How are Confidence Intervals used in Bivariate Analysis?PART SEVEN: HOW TO CARRY OUT MULTIVARIATE ANALYSISUnderstanding Bivariate Relationships The Logic of Elaboration AnalysisUsing Conditional Tables as a Method of Elaboration AnalysisUsing Conditional Correlations for Elaboration AnalysisUsing Partial Tables as a Method of Elaboration AnalysisUsing Partial Correlations for Elaboration AnalysisWhat Type of Data are Needed for Multiple Regression?How to do a Multiple RegressionHow to Use Non-interval Variables in Multiple RegressionWhat Does the Multiple Regression Output Mean?What Other Multivariate Methods are Availabe?

Product Details

  • ISBN13: 9780761959373
  • Format: Hardback
  • Number Of Pages: 402
  • ID: 9780761959373
  • ISBN10: 0761959378

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
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