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Nov 29, 2024
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SOC 707 - Intermediate Statistics II (3 units)
Theory and application of statistical inference with special emphasis on multivariate models, including multiple and partial regression, factor analysis, path analysis and discriminant function analysis.
Units of Lecture: 3
Offered: Every Fall - Even Years
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to design and create cutting-edge-quality graphics/visualizations (including simulations) and tables for all the statistics in the course using spreadsheets, statistical packages and special purpose programming.
2. Students will be able to report and interpret all the statistics in the course in writing and in presentation format at a graduate level.
3. Students will be able to translate a research problem into statistical terms); formulate hypotheses; evaluate alternative candidate statistics with respect to their precision, their robustness, and their compliance with assumptions, especially concerning distributions of residuals. Distinguish serious and trivial consequences of assumption violation. Defend their choice.
4. Students will be able to identify central tendency and dispersion components in the formulas of all the statistics in the course.
5. Students will be able to compute statistics in the regression family (OLS, WLS, GLS, and multi-level analysis), factor analysis (exploratory and confirmatory) and principal components, and beginning cluster analysis and discriminant analysis using a statistical package; identify relevant estimates in output of a statistical package; identify implications of the results for the hypotheses; estimate and interpret the magnitudes of associations using both estimates, first differences and confidence intervals.
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