Understanding and applying research design / Martin Lee Abbott, Jennifer McKinney.

Wheel of Science: Premises of Research. "DUH" Science Versus "HUH" Science -- Theories and Hypotheses -- Observation and Empirical Generalization -- Ethics -- Wheel of Science: Procedures of Research. Measurement -- Using SPSS in Research -- Chi-Square and Contingency Table Analysis -- Learning from Populations: Censuses and Samples -- Correlation -- Regression -- Causation -- Wheel of Science: Designs of Research. Survey Research -- Aggregate Research -- Experiments -- Statistical Methods of Difference: Test -- Analysis of Variance -- Field Research -- Content Analysis -- Statistics and Data Management. Statistical Procedures Unit A: Writing the Statistical Research Summary -- Statistical procedures Unit B: The Nature of Inferential Statistics -- Data Management Unit A: Use and Functions of SPS -- Data Management Unit B: Using SPSS to Recode for TEST -- Data Management Unit C: Descriptive Statistics -- Using SPSS in Research.

Includes bibliographical references and index.

A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and desig.

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