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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