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EDUC 536: Inquiry II – Inferential Track



Course Description This is the second inquiry course, and as such, it builds upon the broad foundation provided in Inquiry I of being a good consumer of research and understanding how systematic inquiry is conducted in education using qualitative and quantitative methods. Inquiry II deepens and extends this knowledge by providing more in-depth focus on how to conduct research using one of these paradigms in particular and prepares students to engage in their own dissertation inquiry around a problem of practice. Both tracks emphasize techniques to ensure data quality and use of sound sampling strategies, whether purposeful or random, to generate valid, meaningful, and trustworthy conclusions. The inferential track of Inquiry II emphasizes describing and exploring relationships among quantified variables with the intent to generalize the findings from the particular (sample) to the population using descriptive and inferential statistics. Students will learn through experiential exercises how to design/select instruments, collect, analyze, interpret, and present data.


educ_536_attendance_and_participation_rubric.pdf

Week 1: Overview of Course Research Designs Research Questions Variables Experiments Threats to Validity



Week 2: Conceptualization, Operationalization, and Measurement Reliability Validity



Week 3: Sampling



Week 4: Survey Design



Week 5: Quiz 1 Review Central Tendency Variability Displays of Data



Week 6: Quiz 1--Intro to SPSS



Week 7: Correlation Hypothesis Testing Normal Curves & Standardization



Week 8: Statistical Significance z-tests t-tests



Week 9: ANOVA MANOVA Factorial ANOVA Correlation Coefficients



Week 10: Regression



Week 11: Chi-Square Meta-Analysis



Week 12: Ethics of Research Quiz 2 Review



Week 13: Quiz 2 Group Project Work Session



Week 14: No Class –Happy Thanksgiving!



Week 15: Group Project Work Session



Week 16: Final Presentations



SPSS & Statistics Notes



SPSS & Statistics: Beginners



SPSS & Statistics: Intermediate



SPSS & Statistics: Diving Deeper



RStats Glossary



RStats Glossary



Kenneth Martin Hill


[email protected]