What This Document Is
This is a class task assignment for Intermediate Sociological Statistics (SOC 402) at the University of Illinois at Chicago. It’s designed to provide practical application of statistical modeling techniques learned in the course, specifically focusing on logistic regression analysis. Students will work with a real-world dataset to test hypotheses and evaluate model fit. The assignment requires the use of SAS statistical software and careful interpretation of results.
Why This Document Matters
This assignment is crucial for students enrolled in SOC 402 seeking to solidify their understanding of applying sociological statistical methods. It’s particularly beneficial when you’re ready to move beyond theoretical concepts and engage in hands-on data analysis. Successfully completing this task will demonstrate your ability to formulate and test hypotheses, interpret statistical output, and communicate findings effectively – skills essential for advanced sociological research. This assignment builds directly on previous coursework and prepares you for more complex statistical analyses.
Topics Covered
* Logistic Regression Modeling
* Hypothesis Testing (Nested Models & Joint Hypotheses)
* Likelihood Ratio Tests
* Model Fit Statistics (including BIC)
* Pseudo R-squared Measures (various types)
* Data Manipulation and Analysis using SAS
* Interpretation of Statistical Output
* Race and Ethnicity as Predictor Variables
What This Document Provides
* A detailed assignment prompt with specific tasks to complete.
* Clear instructions on the dataset to be used (nsfhib11) and the variables included.
* Guidance on the expected format for submitting your work (SAS program and output).
* Specific analytical tasks involving re-estimation of models and hypothesis testing.
* Requirements for both SAS-based analysis and written interpretation of results.
* Direction on how to present your findings in a neat, concise, and easily-graded manner.