Produktbild: Analyzing Social Science Data

Analyzing Social Science Data 50 Key Problems in Data Analysis

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.09.2002

Verlag

Sage Publications

Seitenzahl

402

Maße (L/B/H)

23.5/18/3 cm

Gewicht

866 g

Sprache

Englisch

ISBN

978-0-7619-5937-3

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.09.2002

Verlag

Sage Publications

Seitenzahl

402

Maße (L/B/H)

23.5/18/3 cm

Gewicht

866 g

Sprache

Englisch

ISBN

978-0-7619-5937-3

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  • Produktbild: Analyzing Social Science Data
  • PART ONE: HOW TO PREPARE DATA FOR ANALYSIS
    How to Code Data
    How to Code Questions with Multiple Answers
    Can the Respondent¿s Answers be Relied on?
    How to Check that the Right Thing is Being Measured
    TWO: HOW TO PREPARE VARIABLES FOR ANALYSIS
    How to Deal with Variables with Lots of Categories
    How to Identify and Change the Level of Measurement of Variables
    How to Deal with Questions that Fail to Identify Real Differences Between Cases
    How to Rearrange the Categories of a Variable
    What to do with Gaps in the Data
    What to do with People who ¿Don¿t Know¿, ¿Have no Opinion¿ or ¿Can¿t Decide¿
    How to Tell if the Distribution is Normal
    How to Tell if the Relationship is Linear
    How to Tell if Outlier Cases are a Problem
    What to do if the Required Variable is not Available
    How to Compare Apples with Oranges
    Comparing Scores on Different Variables
    PART THREE: HOW TO REDUCE THE AMOUNT OF DATA TO ANALYSE
    How to Work Out Which Variables to Use
    How to Combine Information from a Set of Variables into a Single Measure
    How to Build a Good Likert Scale
    How to Build a Scale Using Factor Analysis
    PART FOUR: HOW AND WHEN TO GENERALISE
    What Does it Mean to Generalize?
    How to Judge the Extent and Effect of Sample Bias
    How to Weight Samples to Adjust for Bias
    What 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 VARIABLE
    How to Use Tables Effectively to Display the Distribution of a Single Variable
    How to Use Graphs for Single Variables
    Which Summary Statistics to Use to Describe a Single Variable
    Which Statistics to Use to Generalise about a Single Variable
    PART SIX: HOW TO ANALYSE TWO VARIABLES
    How and When to Use Crosstabulations
    Which Graph to Use
    How to Narrow down the Choice When Selecting Summary Statistics
    How to Interpret a Correlation Coefficient
    Which Correlation?
    How much Impact Does a Variable Have?
    How to Tell if Groups are Different
    Which Test of Significance?
    How are Confidence Intervals used in Bivariate Analysis?
    PART SEVEN: HOW TO CARRY OUT MULTIVARIATE ANALYSIS
    Understanding Bivariate Relationships
    The Logic of Elaboration Analysis
    Using Conditional Tables as a Method of Elaboration Analysis
    Using Conditional Correlations for Elaboration Analysis
    Using Partial Tables as a Method of Elaboration Analysis
    Using Partial Correlations for Elaboration Analysis
    What Type of Data are Needed for Multiple Regression?
    How to do a Multiple Regression
    How to Use Non-interval Variables in Multiple Regression
    What Does the Multiple Regression Output Mean?
    What Other Multivariate Methods are Availabe?