Image from Coce

Quantitative research methods in the social sciences / Paul S. Maxim.

By: Material type: TextTextPublisher: New York : Oxford University Press, 1999Description: x, 405 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0195114655
  • 9780195114652
Subject(s): DDC classification:
  • 300.727 21
LOC classification:
  • HA29 .M2968 1999
Contents:
Preface -- 1. The Scientific Method -- 2. Theory Formalization -- 3. Causality -- 4. Statistical Inference -- 5. Sampling: Basic Statistics -- 6. Sampling: Designs -- 7. Sampling: Special Problems -- 8. Experimental Designs -- 9. Measurement Theory -- 10. Classical Test Theory -- 11. Confirmatory Factor Models -- 12. Data Collection Methods and Measurement Errors -- 13. Missing Data -- 14. Interpolating and Smoothing -- 15. Computer-Intensive Hypothesis Testing -- References -- Author Index -- Subject Index.
Summary: "This book explores the problems that quantitative social scientists face in conducting research. The topics covered in this book range from the philosophical basis of scientific research to issues of statistical inference, measurement, scaling, research design, sampling, and problems with missing data. Numerous examples are drawn from a range of specialties to illustrate a variety of practical applications."--Publisher description.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book North Campus North Campus Main Collection 300.727 MAX (Browse shelf(Opens below)) 1 Available A252470B

Includes bibliographical references (pages 380-395) and index.

Preface -- 1. The Scientific Method -- 2. Theory Formalization -- 3. Causality -- 4. Statistical Inference -- 5. Sampling: Basic Statistics -- 6. Sampling: Designs -- 7. Sampling: Special Problems -- 8. Experimental Designs -- 9. Measurement Theory -- 10. Classical Test Theory -- 11. Confirmatory Factor Models -- 12. Data Collection Methods and Measurement Errors -- 13. Missing Data -- 14. Interpolating and Smoothing -- 15. Computer-Intensive Hypothesis Testing -- References -- Author Index -- Subject Index.

"This book explores the problems that quantitative social scientists face in conducting research. The topics covered in this book range from the philosophical basis of scientific research to issues of statistical inference, measurement, scaling, research design, sampling, and problems with missing data. Numerous examples are drawn from a range of specialties to illustrate a variety of practical applications."--Publisher description.

Machine converted from AACR2 source record.

There are no comments on this title.

to post a comment.

Powered by Koha