Fall 2024  |  SOC 5811 Section 001: Social Statistics for Graduate Students (17035)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
jr or sr or grad student
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 01:00PM - 02:15PM
UMTC, West Bank
Blegen Hall 210
Enrollment Status:
Open (10 of 24 seats filled)
Also Offered:
Course Catalog Description:
In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.
Class Notes:
Click this link for more detailed course information: http://classinfo.umn.edu/?tvanheuv+SOC5811+Fall2024
Class Description:
In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule.

Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. This course focuses on the practical application and substantive understanding of the linear regression models, rather than a full expounding of the mathematical details and statistical theory underlying these models. We will work closely with real data throughout the semester, which will also introduce students to the process of data management.
Who Should Take This Class?:
Graduate students and advanced undergraduate students
Learning Objectives:
1. Understand the basic logic of statistical modeling.
2. Construct an appropriate model to appropriately address a research question.
3. Estimate and interpret linear regression models in Stata.
4. Write clean, reproducible, legible code in Stata.
5. Communicate results from multiple regression analyses for a broad audience.
6. Become familiar with visualizing multivariate relationships and presenting regression output in professional tables.
Grading:
100% Three computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams
Textbooks:
https://bookstores.umn.edu/course-lookup/17035/1249
Instructor Supplied Information Last Updated:
5 May 2023

ClassInfo Links - Fall 2024 Sociology Classes

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