DSOC 6190

DSOC 6190

Course information provided by the Courses of Study 2020-2021.

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, the American Community Survey, and the National Center for Educational Statistics. 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.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: statistics course or permission of instructor.

Outcomes
  • Find, download, and manage data useful for social science analysis.
  • Create and manage a syntax file to establish a record of all methodological work.
  • Pose research questions and design statistical methods to answer the questions.
  • Implement appropriate statistical tests when needed.
  • Present and defend questions, methods and findings.

View Enrollment Information

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 4 Credits Graded

  •  2581DSOC 6190  LEC 001

    • MWWarren Hall 175
    • Sep 2 - Dec 16, 2020
    • Sipple, J

  • Instruction Mode: In Person Transition to Online
    Prerequisite: statistics course.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

Enrollment Information
Syllabi: 1 available
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 20818DSOC 6190  LEC 002

    • MWOnline Meeting
    • Sep 2 - Dec 16, 2020
    • Sipple, J

  • Instruction Mode: Online
    Prerequisite: statistics course.