DSOC 6190 - Quantitative Research Methods

Fall. 4 credits. Letter grades only.

Prerequisite: statistics course.

D. Gurak.

Graduate-level course in measurement and analysis of survey, demographic, and observational data. Topics include linear regression, analysis of variance, and analysis of covariance with both continuous and categorical variables. Non-linear regression models are also introduced in the form of logistic and multinomial logistic regression. Examples are illustrated using data from sources such as the General Social Survey, the U.S. Census and the American Community Survey. Students familiarize themselves with data cleaning, missing data estimation, variable transformations, sub-setting, and other data handling procedures using statistical programs such as STATA, SPSS, and SAS. Students are responsible for lab assignments involving the preparation of basic data preparation and analysis programs.

Outcome 1: Explain, evaluate, and effectively interpret factual claims, theories and assumptions in the student’s discipline(s) (especially in one or more of the college’s priority areas of land grant-agricultural sciences, applied social sciences, environmental sciences, and/or life sciences) and more broadly in the sciences and humanities.

Outcome 2: Articulate the views of people with diverse perspectives.

Outcome 3: Communicate effectively through writing, speech and visual information.

Outcome 4: Demonstrate the capability to work both independently and in cooperation with others.

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