Understanding Social Science Research / Edition 2

by Thomas R. Black

Overview

The ability to read published research critically is essential and is different from the skills involved in undertaking research using statistical analysis. This New Edition of Thomas R Black's best-selling text explains in clear and straightforward terms how students can evaluate research, with particular emphasis on research involving some aspect of measurement. The coverage of fundamental concepts is comprehensive and supports topics including research design, data collection and data analysis by addressing the following major issues: Are the questions and hypotheses advanced appropriate and testable? Is the research design sufficient for the hypothesis? Is the data gathered valid, reliable and objective? Are the statistical techniques used to analyze the data appropriate and do they support the conclusions reached?

Each of the chapters from the New Edition has been thoroughly updated, with particular emphasis on improving and increasing the range of activities for students. As well, coverage has been broadened to include: a wider range of research designs; a section on research ethics; item analysis; the definition of standard deviation with a guide for calculation; the concept of ‘power' in statistical inference; calculating correlations; and a description of the difference between parametric and non-parametric tests in terms of research questions.

Evaluating Social Science Research An Introduction 2nd Edition will be key reading for undergraduate and postgrduate students in research methodology and evaluation across the social sciences.

Product Details

ISBN-13:	9780761973690
Publisher:	SAGE Publications
Publication date:	12/20/2001
Edition description:	Second Edition
Pages:	288
Product dimensions:	6.69(w) x 9.53(h) x (d)

Table of Contents

Evaluating Social Science Research
An Overview
Questions and Hypotheses
Research Designs and Representativeness
Data Quality
Descriptive Statistics
Graphs and Charts
Descriptive Statistics
Indicators of Central Tendency and Variability
Statistical Inference
Correlational Studies
Parametric Tests
Non-parametric Tests
Controlling Variables and Drawing Conclusions
Planning Your Own Research