CCD 604 Data Analysis, Interpretation, and Presentation

This course develops graduate students’ capacities to analyze, interpret, verbally summarize, and graphically present a variety of quantitative and qualitative data collected for their research studies. Students evaluate the reliability, internal and external validity, and generalizability of quantitative data, as well as the dependability, trustworthiness, and naturalistic generalizability of qualitative data in order to support appropriate conclusions that may be suggested by the data. Candidates engage in critical discussions focused on organizing data presentations in tables, figures, and graphs and interpreting the data effectively with defensible conclusions and recommendations supported by the data. Pre-requisite(s): Admission to an NLU doctoral program or permission of the NCE Doctoral Studies chair. Co-requisite(s): None. 3 semester hours

Credits

3