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Data Construction and Data Analysis for Survey Research - Raymond Kent

Data Construction and Data Analysis for Survey Research

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Published: 15th August 2001
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Avoiding the more usual statistics-driven perspective, this textbook teaches an intuitive feel for handling survey data by emphasising that data analysis is more about understanding the research objectives and understanding what kinds and data have been collected. The book concludes by giving a review of strategies for coping with all the kinds of practical problems that arise in survey research. Reader-friendly throughout, the book provides numerous worked examples, end-of-chapter questions, and points for further discussion to help reinforce concepts learned. A companion website offers teaching support material as well as examples in SPSS. Companion Website: http: //www.palgrave.com/business/kent/

" I would certainly adopt this book as a primer for some social science research methods courses at undergraduate level and at masters level. The layout is good and I enjoyed reading it, especially the earlier sections." -- -- Stephen Gorard, Cardiff University
" This is a splendid book...the text bridges the gap between rather general research methods books and sophisticated and advanced texts on data analysis/survey design. This is an enormous strength." -- -- Malcolm Williams, University of Plymouth

List of Tablesp. xi
List of Figuresp. xiii
Prefacep. xv
Introductionp. 1
Learning objectivesp. 1
The scope of this bookp. 1
The structure of the bookp. 3
How to study this bookp. 4
The survey in market and social researchp. 5
Survey objectivesp. 7
Types of surveyp. 9
When to use (and when not to use) surveysp. 10
Summaryp. 11
Further readingp. 11
Referencesp. 12
Constructing Survey Data: Getting Good Quality Data
Introduction to Part 1p. 14
Designing the Data Matrixp. 15
Learning objectivesp. 15
Introductionp. 15
What are 'data'?p. 15
The process of data constructionp. 20
The format of the data matrixp. 20
The design of the data matrixp. 23
The quality of datap. 44
Background discussion: the current 'theory' of measurementp. 45
Summaryp. 48
Exercisesp. 48
Points for discussionp. 50
Further readingp. 50
Referencesp. 50
Filling the Data Matrixp. 51
Learning objectivesp. 51
Introductionp. 51
Survey design and executionp. 51
Using computer packagesp. 63
Entering data on SPSSp. 64
Saving your workp. 68
Introduction to the table tennis studyp. 68
Summaryp. 69
Exercisesp. 70
Points for discussionp. 70
Further readingp. 70
Referencesp. 71
Analysing Survey Data: Choosing the Right Data Analysis Techniques
Introduction to Part IIp. 74
Analysis objectivesp. 74
Scale typep. 75
The number of variablesp. 76
Choosing data analysis techniquesp. 77
Further readingp. 77
Tables and Charts for Categorical Variablesp. 79
Learning objectivesp. 79
Introductionp. 79
Univariate frequency tablesp. 79
Bivariate crosstabulationp. 82
Three-way and n-way tablesp. 84
Bar charts and pie chartsp. 84
Using SPSS Frequencies, Graphs, Crosstabs and Recode proceduresp. 88
Summaryp. 94
Exercisesp. 95
Points for discussionp. 95
Further readingp. 96
Tables and Charts for Interval Variablesp. 97
Learning objectivesp. 97
Introductionp. 97
Frequency tables for interval datap. 98
Metric tablesp. 99
Histograms and line graphsp. 99
Scattergramsp. 102
Using SPSS Histogram, Line and Scatterp. 103
Summaryp. 106
Exercisesp. 106
Points for discussionp. 107
Further readingp. 107
Summarising Categorical Variablesp. 108
Learning objectivesp. 108
Introductionp. 108
Univariate data summaryp. 108
Bivariate data summaryp. 109
Rank correlationp. 112
Using SPSS Crosstabs: Statisticsp. 113
Summaryp. 114
Exercisesp. 114
Points for discussionp. 115
Further readingp. 115
Summarising Interval Variablesp. 116
Learning objectivesp. 116
Introductionp. 116
Univariate data summaryp. 116
Bivariate data summaryp. 123
Multivariate proceduresp. 128
Using SPSSp. 133
Summaryp. 136
Exercisesp. 136
Points for discussionp. 137
Further readingp. 137
Sampling and the Concept of Errorp. 138
Learning objectivesp. 138
Introductionp. 138
When we need to take samplesp. 138
Sample selectionp. 139
Sample designp. 141
Sampling in practicep. 144
Sampling errorsp. 148
The concept of errorp. 150
Total survey errorp. 151
Controlling errorp. 152
Summaryp. 154
Exercisesp. 154
Points for discussionp. 155
Further readingp. 155
Referencesp. 155
Making Inferences from Samples: Categorical Variablesp. 156
Learning objectivesp. 156
Introductionp. 156
Estimationp. 157
Testing hypothese for statistical significancep. 160
Statistical inference and bivariate data summariesp. 164
Using SPSSp. 166
Summaryp. 167
Exercisesp. 168
Points for discussionp. 169
Further readingp. 169
Referencesp. 169
Making Inferences from Samples: Interval Variablesp. 170
Learning objectivesp. 170
Introductionp. 170
Estimationp. 170
Testing the null hypothesisp. 171
The significance test controversyp. 178
Using SPSSp. 181
Summaryp. 182
Exercisesp. 183
Points for discussionp. 183
Further readingp. 183
Evaluating Hypotheses and Explaining Relationshipsp. 184
Learning objectivesp. 184
Introductionp. 184
What is an 'hypothesis'?p. 184
Should hypotheses be stated in advance of undertaking the research?p. 186
Evaluating hypothesesp. 187
Analysing and explaining relationships between variablesp. 188
Summaryp. 193
Exercisesp. 193
Points for discussionp. 194
Further readingp. 194
Analysing Survey Data: Knowing How to Handle Your Data
Introduction to Part IIIp. 196
Handling Your Data Matrixp. 197
Learning objectivesp. 197
Introductionp. 197
Upgrading and downgrading scalesp. 198
Data dredgingp. 200
How many cases are needed and what size of sample should be taken?p. 201
Strategies for coping with relatively few casesp. 203
Strategies for analysing summated rating scalesp. 203
What do you do with 'don't know's?p. 211
Missing valuesp. 212
Handling multiple response itemsp. 214
Can you use statistical inference on non-random samples?p. 216
Using SPSSp. 218
Background discussion: the interpretation of Cronbach's coefficient alphap. 221
Summaryp. 222
Exercisesp. 225
Points for discussionp. 225
Further readingp. 226
Referencesp. 226
Analysing Open-ended Questionsp. 227
Learning objectivesp. 227
Introductionp. 227
Treating responses as qualitative datap. 228
Coding the datap. 229
Open versus closed questionsp. 231
Summaryp. 232
Exercisesp. 233
Points for discussionp. 233
Further readingp. 234
The Table Tennis Questionnairep. 235
Using Pinpointp. 238
SPSS Release 10.0p. 241
Glossaryp. 243
Referencesp. 247
Indexp. 249
Table of Contents provided by Syndetics. All Rights Reserved.

ISBN: 9780333763063
ISBN-10: 0333763068
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 251
Published: 15th August 2001
Publisher: SPRINGER VERLAG GMBH
Country of Publication: GB
Dimensions (cm): 24.7 x 19.0  x 1.6
Weight (kg): 0.53
Edition Number: 1