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.

","Graduate students and advanced undergraduate students","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.

","100% Three computer data analysis assignments.","ComputationsShort Answer

","60% Lecture
40% Laboratory","10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams","","","5 May 2023"
"17322","SOC","Sociology","5811","001","Social Statistics for Graduate Students","Tom VanHeuvelen","Lecture","","","No Special Consent Required","In Person","","jr or sr or grad student","","September 5, 2023 through December 13, 2023 Monday, Wednesday 01:00PM - 02:15PM TCWESTBANK BlegH 105","Fall 2023, Fall 2022, Fall 2021","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.","Click this link for more detailed course information: http://classinfo.umn.edu/?tvanheuv+SOC5811+Fall2023
","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.

","Graduate students and advanced undergraduate students","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.

","100% Three computer data analysis assignments.","ComputationsShort Answer

","60% Lecture
40% Laboratory","10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams","","","5 May 2023"
"17811","SOC","Sociology","5811","001","Social Statistics for Graduate Students","Tom VanHeuvelen","Lecture","3 Credits","Student Option","No Special Consent Required","In Person","","jr or sr or grad student","","September 6, 2022 through December 14, 2022 Monday, Wednesday 01:00PM - 02:15PM TCWESTBANK AndH 150","Fall 2023, Fall 2022, Fall 2021","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.","5 seats reserved for Sociology graduate students and 5 seats reserved for BS Majors Click this link for more detailed course information: http://classinfo.umn.edu/?tvanheuv+SOC5811+Fall2022
","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.

","Graduate students and advanced undergraduate students","Understand the basic logic of statistical modeling.

Construct an appropriate model to appropriately address a research question.

Estimate and interpret linear regression models in Stata.

Write clean, reproducible, legible code in Stata.

Communicate results from multiple regression analyses for a broad audience.

Become familiar with visualizing multivariate relationships and presenting regression output in professional tables.

","100% Three computer data analysis assignments.","ComputationsShort Answer

","60% Lecture
40% Laboratory","10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams","","","4 April 2022"
"18840","SOC","Sociology","5811","001","Social Statistics for Graduate Students","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","UMNTC Liberal Education Requirement

","Exclude fr or soph 5000 level courses","SOC 3811 Section 001","September 7, 2021 through December 15, 2021 Tuesday, Thursday 09:45AM - 11:00AM TCWESTBANK AndH 210","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","1 seats reserved for sociology graduate student. 1 reserved for Soc BS major until 5/3/21. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2021
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","Sociology majors and students from other disciplines.","Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data."," For SOC 3811:

75% Three Exams

25% Two computer data analysis assignments.

For SOC 5811:

100% Three computer data analysis assignments.

","ComputationsShort Answer

","60% Lecture
40% Laboratory"," For SOC 3811:

10-35 PowerPoint slides reading per week; 2 computer problem sets; 3 exams.

For SOC 5811:

10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams.

","","","16 May 2017"
"13498","SOC","Sociology","5811","001","Social Statistics for Graduate Students","Rob Warren","Lecture","","","No Special Consent Required","Completely Online","UMNTC Liberal Education Requirement

Online Course

","Exclude fr or soph 5000 level courses","SOC 3811 Section 001","September 8, 2020 through December 16, 2020 Tuesday, Thursday 09:45AM - 11:00AM OFFCAMPUS . REMOTE","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","This course is completely online in a synchronous format. The course will meet online at the scheduled times. http://classinfo.umn.edu/?warre046+SOC5811+Fall2020
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","Sociology majors and students from other disciplines.","Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.","100% Three computer data analysis assignments.","ComputationsShort Answer

","60% Lecture
40% Laboratory","10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams","","","24 March 2017"
"16823","SOC","Sociology","5811","001","Social Statistics for Graduate Students","Elizabeth Wrigley-Field","Lecture","","","No Special Consent Required","In Person Term Based","UMNTC Liberal Education Requirement

","","SOC 3811 Section 001","September 3, 2019 through December 11, 2019 Tuesday, Thursday 09:45AM - 11:00AM TCWESTBANK AndH 210","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","Lab section WILL meet first week of class. Click this link for more detailed course information: http://classinfo.umn.edu/?ewf+SOC5811+Fall2019
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","Sociology majors and students from other disciplines.","Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.","48% Data Analysis Assignments

45% Quizzes

7% Learning Reflections

","ComputationsShort Answer

","60% Lecture
40% Laboratory","10-35 pages reading per week (note: textbook reading is slow because it requires stopping to do practice problems along the way); weekly quizzes; 3 longer analytical memos. SOC 5811 students do all the SOC 3811 work plus three additional course meetings to discuss more advanced topics and some additional advanced problems on the data analysis assignments.","","","29 April 2019"
"17054","SOC","Sociology","5811","001","Social Statistics for Graduate Students","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","UMNTC Liberal Education Requirement

","","SOC 3811 Section 001","September 4, 2018 through December 12, 2018 Tuesday, Thursday 09:45AM - 11:00AM TCWESTBANK AndH 210","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","Lab section will NOT meet first week of class. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2018
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","Sociology majors and students from other disciplines.","Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data."," For SOC 3811:

75% Three Exams

25% Two computer data analysis assignments.

For SOC 5811:

100% Three computer data analysis assignments.

","ComputationsShort Answer

","60% Lecture
40% Laboratory"," For SOC 3811:

10-35 PowerPoint slides reading per week; 2 computer problem sets; 3 exams.

For SOC 5811:

10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams.

","","","16 May 2017"
"13942","SOC","Sociology","5811","001","Social Statistics for Graduate Students","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","UMNTC Liberal Education Requirement

","","SOC 3811 Section 001","September 5, 2017 through December 13, 2017 Tuesday, Thursday 09:45AM - 11:00AM TCWESTBANK AndH 310","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","15 seats reserved for sociology graduate students. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2017
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","Sociology majors and students from other disciplines.","Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data."," For SOC 3811:

75% Three Exams

25% Two computer data analysis assignments.

For SOC 5811:

100% Three computer data analysis assignments.

","ComputationsShort Answer

","60% Lecture
40% Laboratory"," For SOC 3811:

10-35 PowerPoint slides reading per week; 2 computer problem sets; 3 exams.

For SOC 5811:

10-35 PowerPoint slides reading per week; 3 computer problem sets; no exams.

","","","16 May 2017"
"14093","SOC","Sociology","5811","001","Social Statistics for Graduate Students","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","UMNTC Liberal Education Requirement

","","SOC 3811 Section 001","September 6, 2016 through December 14, 2016 Tuesday, Thursday 09:45AM - 11:00AM TCWESTBANK AndH 270","Fall 2023, Fall 2022, Fall 2021","This course will introduce statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. Soc 5811 is intended for new graduate students, undergraduate honors students, and students pursuing the Sociology BS degree. prereq: Credit will not be granted if credit has been received for Soc 3811 (Soc 5811 offered Fall terms only). 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.","11 seats reserved for sociology graduate students. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2016
","This is a social statistics course for sociology graduate students and undergraduate honors students. It meets for lectures with SOC3811, but has a separate weekly lab session. It emphasizes describing data and testing hypotheses. Lectures expose students to the theoretical bases of statistical methods and how to use them in social research. Laboratory sessions teach computing skills and data manipulation techniques. Test problems and lab assignments help students to gain knowledge of basic descriptive and inferential statistics, including frequency distributions, means tests, correlation and regression. Many examples are drawn from diverse sociological topics and illustrated with national survey data.","","","100% Reports/Papers
Other Grading Information: Three papers involve statistical analyses of social datasets.","","67% Lecture
33% Laboratory","15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)","","","13 March 2016"
"10664","SOC","Sociology","5811","001","Intermediate Social Statistics","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","","","","September 8, 2015 through December 16, 2015 Tuesday, Thursday 11:15AM - 12:30PM TCWESTBANK SocSci 1114","Fall 2023, Fall 2022, Fall 2021","This course will introduce majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Soc 1001 recommended. Credit will not be granted if credit has been received for Soc 5811 (Soc 5811 Fall terms only). Undergraduates with strong math background who have completed Soc 3801 are encouraged to register for 5811 in lieu of 3811.","Click this link for more detailed course information http://classinfo.umn.edu/?knoke001+SOC5811+Fall2015
","Measurement, theory of probability, and bivariate statistics. Multiple regression analyses of sociological data.","","","100% Reports/Papers
Other Grading Information: Three papers involve statistical analyses of social datasets.","","67% Lecture
33% Laboratory","15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)","","","11 March 2012"
"10726","SOC","Sociology","5811","001","Intermediate Social Statistics","David Knoke","Lecture","","","No Special Consent Required","In Person Term Based","Delivery Medium

","","","September 2, 2014 through September 18, 2014 Tuesday, Thursday 11:15AM - 12:30PM TCWESTBANK SocSci 1114
September 25, 2014 Thursday 11:15AM - 12:39PM TCWESTBANK SocSci 1183
October 2, 2014 through December 10, 2014 Tuesday, Thursday 11:15AM - 12:30PM TCWESTBANK SocSci 1114","Fall 2023, Fall 2022, Fall 2021","Measurement, theory of probability, bivariate statistics. Multiple regression analyses of sociological data.","","Measurement, theory of probability, and bivariate statistics. Multiple regression analyses of sociological data.","","","100% Reports/Papers
Other Grading Information: Three papers involve statistical analyses of social datasets.","","67% Lecture
33% Laboratory","15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)","","","11 March 2012"
"16375","SOC","Sociology","5811","001","Intermediate Social Statistics","Yanjie Bian","Lecture","","","No Special Consent Required","In Person Term Based","Delivery Medium

","","","September 3, 2013 through December 11, 2013 Tuesday, Thursday 02:30PM - 03:45PM TCWESTBANK SocSci 278","Fall 2023, Fall 2022, Fall 2021","Measurement, theory of probability, bivariate statistics. Multiple regression analyses of sociological data.","","This course is designed for the first-year sociology graduate students. After a review of study design, descriptive statistics, and bivariate analysis in the first five weeks, the rest of the class is devoted to regression models and techniques. Grading is based on twelve weekly exercises, a midterm exam, and a term paper reporting a multiple regression analysis of social science data on a topic of student's own choice. Labs are organized to help students with the data analyses required to complete the weekly exercises and the term paper. Each student is to make a short, ungraded oral presentation of his or her term paper outline at the last class meeting of the semester. After taking this course, all students are expected to understand and to be able to evaluate statistical results up to the level of regression models as reported in major sociology journals today, and will be ready to take courses of advanced social statistics.","","","25% Midterm Exam
25% Reports/Papers
50% Written Homework","","70% Lecture
30% Laboratory","20 Pages Reading Per Week
15 Pages Writing Per Term
1 Exam(s)
1 Presentation(s)
12 Problem Set(s)","","","15 July 2008"