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Understanding social science research / Thomas R. Black.

By: Material type: TextTextPublication details: London ; Thousand Oaks : Sage, 2002.Edition: 2nd edDescription: 1 online resource (ix, 272 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781847871091
  • 1847871097
  • 9780857020208
  • 085702020X
Subject(s): Genre/Form: Additional physical formats: Print version:: Understanding social science research.DDC classification:
  • 300/.7/2 21
LOC classification:
  • H62 .B56 2002eb
Other classification:
  • 70.03
Online resources:
Contents:
1. Evaluating Social Science Research: An Overview -- 2. Questions and Hypotheses -- 3. Research Designs and Representativeness -- 4. Data Quality -- 5. Descriptive Statistics: Graphs and Charts -- 6. Descriptive Statistics: Indicators of Central Tendency and Variability -- 7. Statistical Inference -- 8. Correlational Studies -- 9. Parametric Tests -- 10. Non-parametric Tests -- 11. Controlling Variables and Drawing Conclusions -- 12. Planning Your Own Research.
Summary: This new edition of Black's best-selling text explains in clear and straightforward terms how students can evaluate research, emphasising research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis.
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Item type Home library Collection Call number Materials specified Status Date due Barcode
Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Previous edition: 1993.

Includes bibliographical references and index.

Print version record.

This new edition of Black's best-selling text explains in clear and straightforward terms how students can evaluate research, emphasising research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis.

1. Evaluating Social Science Research: An Overview -- 2. Questions and Hypotheses -- 3. Research Designs and Representativeness -- 4. Data Quality -- 5. Descriptive Statistics: Graphs and Charts -- 6. Descriptive Statistics: Indicators of Central Tendency and Variability -- 7. Statistical Inference -- 8. Correlational Studies -- 9. Parametric Tests -- 10. Non-parametric Tests -- 11. Controlling Variables and Drawing Conclusions -- 12. Planning Your Own Research.

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