Doing Quantitative Research in the Social Sciences An Integrated Approach to Research Design, Measurement and Statistics
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Description: 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 researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $110.00
Copyright year: 1999
Publisher: SAGE Publications, Limited
Publication date: 5/17/1999
Size: 7.50" wide x 9.75" long x 1.25" tall
Thomas R Black teaches research methods and statistics in the School of Educational Studies, University of Surrey and is also author of the best-selling Doing Quantitative Research in the Social Sciences
|Introduction to Research Design|
|The Nature of Enquiry|
|Beginning the Design Process|
|Initial Sources of Invalidity and Confounding|
|Identifying Populations and Samples|
|Additional Sources of Confounding by the Measurement Process and Interactions|
|Refining the Designs|
|Principles of Measurement and Collecting Factual Data|
|Measuring Attitudes, Opinions and Views|
|Evaluating Data Quality|
|Determining Instrument Reliability and Validity|
|Turning Data Into Information Using Statistics|
|Descriptive Statistics Using a Spreadsheet|
|Probability and Statistical Significance|
|Power, Errors and Choosing a|
|Ex Post Facto, Experimental And Quasi-Experimental Designs: Parametric Tests|
|Comparing Two Groups|
|One-Way Analysis of Variance|
|Randomized Block Designs and Analysis of Covariance|
|Nonparametric Tests: Nominal and Ordinal Variables|
|One and Two Samples|
|Multiple and Related Samples|
|Describing Non-Causal Relationships|
|Correlation and Association|