Doing Quantitative Research in the Social Sciences

In a lively and accessible style, the student is introduced to research design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.

This work introduces the student equally to research design issues and the statistical procedures necessary for analysis. It provides comprehensive coverage that integrates such issues as planning, sampling, choice of statistical tests, and interpretation of results in the research process.

Autorentext
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

Inhalt

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
t-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