Analyzing Social Science Data: 50 Key Problems in Data Analysis

Analyzing Social Science Data: 50 Key Problems in Data Analysis

by David de Vaus, D. A. De Vaus, David Vaus
     
 

ISBN-10: 0761959378

ISBN-13: 9780761959373

Pub. Date: 09/17/2002

Publisher: SAGE Publications

Writing for social science students and researchers, the author discusses some of the common issues that arise when conducting data analysis. He adopts a problem approach that is based on the idea that solving problems more closely resembles the actual process of analyzing data, as opposed to more common approaches that just present a statistical focus. The fifty…  See more details below

Overview

Writing for social science students and researchers, the author discusses some of the common issues that arise when conducting data analysis. He adopts a problem approach that is based on the idea that solving problems more closely resembles the actual process of analyzing data, as opposed to more common approaches that just present a statistical focus. The fifty problems are presented in separate chapters grouped under headings dealing with preparation of data, preparation of variables, reduction of amount of required data, generalization strategies, analysis of a single variable, analysis of two variables, and multivariate analysis. Annotation c. Book News, Inc.,Portland, OR

Product Details

ISBN-13:
9780761959373
Publisher:
SAGE Publications
Publication date:
09/17/2002
Pages:
402
Product dimensions:
6.69(w) x 9.53(h) x (d)

Table of Contents

List of figures
List of tables
Preface
Pt. 1How to Prepare Data for Analysis1
1How to Code Data1
2How to Code Questions with Multiple Answers10
3Can the Respondent's Answers be Relied on?17
4How to Check that the Right Thing is being Measured25
Pt. 2How to Prepare Variables for Analysis33
5How to Deal with Variables with Lots of Categories33
6How to Identify and Change the Level of Measurement of Variables40
7How to Deal with Questions that Fail to Identify Real Differences Between Cases48
8How to Rearrange the Categories of a Variable54
9What to do with Gaps in the Data64
10What to do with People who 'Don't Know', 'Have no Opinion' or 'Can't Decide'72
11How to Tell if the Distribution is Normal75
12How to Tell if the Relationship is Linear82
13How to Tell if Outlier Cases are a Problem92
14What to do if the Required Variable is not Available99
15How to Compare Apples with Oranges: Comparing Scores on Different Variables107
Pt. 3How to Reduce the Amount to Data to Analyse113
16How to Work Out which Variables to Use113
17How to Combine Information from a Set of Variables into a Single Measure117
18How to Build a Good Likert Scale124
19How to Build a Scale Using Factor Analysis134
Pt. 4How and When to Generalize147
20What does it Mean to Generalize?147
21How to Judge the Extent and Effect of Sample Bias152
22How to Weight Samples to Adjust for Bias160
23What are Tests of Significance?166
24Should Tests of Significance be Used?171
25What Factors Affect Significance Levels?175
26Is the Sample Large Enough to Achieve Statistical Significance?180
27Should Confidence Intervals be Used?187
Pt. 5How to Analyse a Single Variable195
28How to Use Tables Effectively to Display the Distribution of a Single Variable195
29How to Use Graphs for Single Variables203
30Which Summary Statistics to Use to Describe a Single Variable218
31Which Statistic to Use to Generalize about a Single Variable?228
Pt. 6How to Analyse Two Variables237
32How and When to Use Crosstabulations237
33Which Graph to Use246
34How to Narrow down the Choice When Selecting Summary Statistics265
35How to Interpret a Correlation Coefficient267
36Which Correlation?274
37How much Impact does a Variable have?279
38How to Tell if Groups are Different288
39Which Test of Significance?293
40How are Confidence Intervals used in Bivariate Analysis?306
Pt. 7How to Carry out Multivariate Analysis315
41Understanding Bivariate Relationships: The Logic of Elaboration Analysis315
42Using Conditional Tables as a Method of Elaboration Analysis321
43Using Conditional Correlations for Elaboration Analysis328
44Using Partial Tables as a Method of Elaboration Analysis333
45Using Partial Correlations for Elaboration Analysis337
46What Type of Data are Needed for Multiple Regression?343
47How to do a Multiple Regression353
48How to Use Non-interval Variables in Multiple Regression368
49What does the Multiple Regression Output Mean?374
50What Other Multivariate Methods are Available?383
References391
Index393

Read More

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >