The course provides conceptual understanding and skills necessary for selection of appropriate statistical procedures, computer computation of procedures, and appropriate interpretation of statistical measures. Content includes basic descriptive statistics through an introduction to the General Linear Model using multiple regression and correlation analysis. The course covers advanced hypothesis formulation development, selection and testing of measurement strategies in complex research designs, including experimental, quasi-experimental, single subject, survey, and quantitative design. Students develop skills to do computer computation and interpret the statistics. Students become skilled in using these techniques to analyze results of research designs used for social work research.
Emphasis is on the relationship of data analysis and research design.
Each student participates as part of a research team to design, carry out, analyze, and distribute a research project. Students select the research topic, design, and measures for the study. Expands knowledge learned in SOWK 810 to enhance ability to undertake significant and methodologically rigorous social work research in a substantive area. Covers the evolution of social work education as part of the American university. Attention is on seminal issues that have been of concern to social work educators and curriculum development and educational structure, rather than teaching methodologies or techniques.