Doing Quantitative Research in the Social Sciences An Integrated Approach to Research Design, Measurement and Statistics

Name: Doing Quantitative Research in the Social Sciences An Integrated Approach to Research Design, Measurement and Statistics
Price: 17.45 USD
Availability: InStock
ISBN: 9780761953531

ISBN-10: 0761953531

ISBN-13: 9780761953531

Edition: 1999

Authors: Thomas R. Black

List price: $133.00

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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…

Book details

List price: $133.00
Copyright year: 1999
Publisher: SAGE Publications, Limited
Publication date: 5/17/1999
Binding: Paperback
Pages: 768
Size: 7.50" wide x 9.70" long x 1.70" tall
Weight: 3.036
Language: English

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


Basic Designs


Identifying Populations and Samples


Additional Sources of Confounding by the Measurement Process and Interactions


Refining the Designs



Measurement Design


Principles of Measurement and Collecting Factual Data


Measuring Attitudes, Opinions and Views


Measuring Achievement


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


t-Test


One-Way Analysis of Variance


Factorial Designs


Randomized Block Designs and Analysis of Covariance



Nonparametric Tests: Nominal and Ordinal Variables


Nonparametric Tests


One and Two Samples


Nonparametric Tests


Multiple and Related Samples



Describing Non-Causal Relationships


Correlation and Association


Regression