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Doing quantitative research in the social sciences : an integrated approach to research design, measurement and statistics
Black, Thomas R., 1999Verfügbar |
Ja (1)
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Exemplare gesamt | 1 |
Exemplare verliehen | 0 |
Reservierungen | 0Reservieren |
Medienart | Buch | ||||
ISBN | 978-0-7619-5353-1 | ||||
Verfasser | Black, Thomas R.
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Systematik | A - Nachschlagewerke | ||||
Schlagworte | social sciences, research, statistical methods, quantitative methods | ||||
Verlag | SAGE | ||||
Ort | London [u.a.] | ||||
Jahr | 1999 | ||||
Umfang | XIV, 751 p. | ||||
Altersbeschränkung | keine | ||||
Auflage | 1. publ. | ||||
Sprache | englisch | ||||
Verfasserangabe | Thomas R. Black | ||||
Illustrationsang | graf. Darst., Ill. | ||||
Annotation | Summary Doing Quantitative Research in the Social Sciences : An Integrated Approach to Research Design, Measurement and Statistics by Black, Thomas R. Terms of use This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to Table of Contents Terms of Use Part one Introduction To Research Design The Nature of Enquiry Beginning the Design Process Initial Sources of Invalidity and Confounding Basic Designs Identifying Populations and Samples Additional Sources of Confounding by the Measurement Process and Interactions Refining the Designs Part Two Measurement Design Principles of Measurement and Collecting Factual Data Measuring Attitudes, Opinions and Views Measuring Achievement Evaluating Data Quality Determining Instrument Reliability and Validity Part Three Turning Data Into Information Using Statistics Descriptive Statistics Using a Spreadsheet Probability and Statistical Significance Power, Errors and Choosing a Part Four Ex Post Facto, Experimental And Quasi-Experimental Designs: Parametric Tests Comparing Two Groups f003t f001-Test One-Way Analysis of Variance Factorial Designs Randomized Block Designs and Analysis of Covariance Part Five Nonparametric Tests: Nominal And Ordinal Variables Nonparametric Tests One and Two Samples Nonparametric Tests Multiple and Related Samples Part Six Describing Non-Causal Relationships Correlation and Association Regression |
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