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Data construction and data analysis for survey research / Raymond Kent.

By: Material type: TextTextPublisher: Houndmills, Basingstoke, Hampshire ; New York : Palgrave, 2001Description: xv, 251 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0333763068
  • 9780333763063
Subject(s): DDC classification:
  • 301.0727 21
LOC classification:
  • HM535 .K45 2001
Contents:
1. Introduction -- pt. I. Constructing Survey Data: Getting Good Quality Data. 2. Designing the Data Matrix. 3. Filling the Data Matrix -- pt. II. Analysing Survey Data: Choosing the Right Data Analysis Techniques. 4. Tables and Charts for Categorical Variables. 5. Tables and Charts for Interval Variables. 6. Summarising Categorical Variables. 7. Summarising Interval Variables. 8. Sampling and the Concept of Error. 9. Making Inferences from Samples: Categorical Variables. 10. Making Inferences from Samples: Interval Variables. 11. Evaluating Hypotheses and Explaining Relationships -- pt. III. Analysing Survey Data: Knowing how to Handle your Data. 12. Handling your Data Matrix. 13. Analysing Open-ended Questions. App. 1. The Table Tennis Questionnaire -- App. 2. Using Pinpoint -- App. 3. SPSS Release 10.0.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book City Campus City Campus Main Collection 301.0727 KEN (Browse shelf(Opens below)) 1 Available A410275B
Book City Campus City Campus Main Collection 301.0727 KEN (Browse shelf(Opens below)) 1 Available A259002B
Book City Campus City Campus Main Collection 301.0727 KEN (Browse shelf(Opens below)) 1 Available A409099B

Includes bibliographical references (pages 247-248) and index.

1. Introduction -- pt. I. Constructing Survey Data: Getting Good Quality Data. 2. Designing the Data Matrix. 3. Filling the Data Matrix -- pt. II. Analysing Survey Data: Choosing the Right Data Analysis Techniques. 4. Tables and Charts for Categorical Variables. 5. Tables and Charts for Interval Variables. 6. Summarising Categorical Variables. 7. Summarising Interval Variables. 8. Sampling and the Concept of Error. 9. Making Inferences from Samples: Categorical Variables. 10. Making Inferences from Samples: Interval Variables. 11. Evaluating Hypotheses and Explaining Relationships -- pt. III. Analysing Survey Data: Knowing how to Handle your Data. 12. Handling your Data Matrix. 13. Analysing Open-ended Questions. App. 1. The Table Tennis Questionnaire -- App. 2. Using Pinpoint -- App. 3. SPSS Release 10.0.

Machine converted from AACR2 source record.

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