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Research methods in the social sciences / Chava Frankfort-Nachmias, David Nachmias.

By: Contributor(s): Material type: TextTextPublisher: New York : St. Martin's Press, c1996Edition: Fifth EditionDescription: xxii, 600, 17 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780340662267
  • 0340662263
Subject(s): DDC classification:
  • 300.72 20 F.C.R.
Contents:
Foundations of empirical research: the scientific approach; conceptual foundations of research; ethics in social science research. Design and structure of research: research designs - experiments; research designs - correlational and quasi-experimental designs; measurement; sampling and sample design. Data collection: observational methods; survey research; questionnaire construction; qualitative research; secondary data analysis. Data processing and analysis: data preparation and analysis; the univariate distribution; bivariate analysis; control, elaboration and multivariate analysis; index construction and scaling methods; inferences. Appendices: introduction to SPSS; the summation sign; random digits; areas under normal curve; distribution of t; critical values of F; critical values of U in the Mann-Whitney test; distribution of X2; research reports.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Main library A3 Faculty of Economics & Political (Economics) 300.72 F.C.R. (Browse shelf(Opens below)) Available 00003372
Books Books Main library A3 Faculty of Economics & Political (Economics) 300.72 F.C.R. (Browse shelf(Opens below)) Available 00007698

Includes bibliographical references and indexes.

Foundations of empirical research: the scientific approach; conceptual foundations of research; ethics in social science research. Design and structure of research: research designs - experiments; research designs - correlational and quasi-experimental designs; measurement; sampling and sample design. Data collection: observational methods; survey research; questionnaire construction; qualitative research; secondary data analysis. Data processing and analysis: data preparation and analysis; the univariate distribution; bivariate analysis; control, elaboration and multivariate analysis; index construction and scaling methods; inferences. Appendices: introduction to SPSS; the summation sign; random digits; areas under normal curve; distribution of t; critical values of F; critical values of U in the Mann-Whitney test; distribution of X2; research reports.

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