12 classes matched your search criteria.

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 (0 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

Fall 2023  |  SOC 5811 Section 001: Social Statistics for Graduate Students (17322)

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
 
09/05/2023 - 12/13/2023
Mon, Wed 01:00PM - 02:15PM
UMTC, West Bank
Blegen Hall 105
Enrollment Status:
Open (9 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+Fall2023
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/17322/1239
Instructor Supplied Information Last Updated:
5 May 2023

Fall 2022  |  SOC 5811 Section 001: Social Statistics for Graduate Students (17811)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Enrollment Requirements:
jr or sr or grad student
Times and Locations:
Regular Academic Session
 
09/06/2022 - 12/14/2022
Mon, Wed 01:00PM - 02:15PM
UMTC, West Bank
Anderson Hall 150
Enrollment Status:
Open (9 of 12 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:
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
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:
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.
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/17811/1229
Instructor Supplied Information Last Updated:
4 April 2022

Fall 2021  |  SOC 5811 Section 001: Social Statistics for Graduate Students (18840)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/07/2021 - 12/15/2021
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Closed (6 of 6 seats filled)
Also Offered:
Course Catalog Description:
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.
Class Notes:
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
Class Description:
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.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
For SOC 3811:
75% Three Exams
25% Two computer data analysis assignments.

For SOC 5811:
100% Three computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
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.
Textbooks:
https://bookstores.umn.edu/course-lookup/18840/1219
Instructor Supplied Information Last Updated:
16 May 2017

Fall 2020  |  SOC 5811 Section 001: Social Statistics for Graduate Students (13498)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Class Attributes:
UMNTC Liberal Education Requirement
Online Course
Enrollment Requirements:
Exclude fr or soph 5000 level courses
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/08/2020 - 12/16/2020
Tue, Thu 09:45AM - 11:00AM
Off Campus
UMN REMOTE
Enrollment Status:
Open (5 of 6 seats filled)
Also Offered:
Course Catalog Description:
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.
Class Notes:
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
Class Description:
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.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
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/13498/1209
Instructor Supplied Information Last Updated:
24 March 2017

Fall 2019  |  SOC 5811 Section 001: Social Statistics for Graduate Students (16823)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/03/2019 - 12/11/2019
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Closed (18 of 18 seats filled)
Also Offered:
Course Catalog Description:
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.
Class Notes:
Lab section WILL meet first week of class. Click this link for more detailed course information: http://classinfo.umn.edu/?ewf+SOC5811+Fall2019
Class Description:
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.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
48% Data Analysis Assignments
45% Quizzes
7% Learning Reflections
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
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.
Textbooks:
https://bookstores.umn.edu/course-lookup/16823/1199
Instructor Supplied Information Last Updated:
29 April 2019

Fall 2018  |  SOC 5811 Section 001: Social Statistics for Graduate Students (17054)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/04/2018 - 12/12/2018
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 210
Enrollment Status:
Closed (6 of 6 seats filled)
Also Offered:
Course Catalog Description:
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.
Class Notes:
Lab section will NOT meet first week of class. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2018
Class Description:
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.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
For SOC 3811:
75% Three Exams
25% Two computer data analysis assignments.

For SOC 5811:
100% Three computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
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.
Textbooks:
https://bookstores.umn.edu/course-lookup/17054/1189
Instructor Supplied Information Last Updated:
16 May 2017

Fall 2017  |  SOC 5811 Section 001: Social Statistics for Graduate Students (13942)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/05/2017 - 12/13/2017
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 310
Also Offered:
Course Catalog Description:
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.
Class Notes:
15 seats reserved for sociology graduate students. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2017
Class Description:
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.
Who Should Take This Class?:
Sociology majors and students from other disciplines.
Learning Objectives:
Acquire knowledge of basic statistical principles and computation methods, applied to real social data. Ability to read and understand articles that analyze social data.
Grading:
For SOC 3811:
75% Three Exams
25% Two computer data analysis assignments.

For SOC 5811:
100% Three computer data analysis assignments.
Exam Format:
Computations
Short Answer
Class Format:
60% Lecture
40% Laboratory
Workload:
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.
Textbooks:
https://bookstores.umn.edu/course-lookup/13942/1179
Instructor Supplied Information Last Updated:
16 May 2017

Fall 2016  |  SOC 5811 Section 001: Social Statistics for Graduate Students (14093)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
UMNTC Liberal Education Requirement
Meets With:
SOC 3811 Section 001
Times and Locations:
Regular Academic Session
 
09/06/2016 - 12/14/2016
Tue, Thu 09:45AM - 11:00AM
UMTC, West Bank
Anderson Hall 270
Also Offered:
Course Catalog Description:
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.
Class Notes:
11 seats reserved for sociology graduate students. Click this link for more detailed course information: http://classinfo.umn.edu/?knoke001+SOC5811+Fall2016
Class Description:
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.
Grading:
100% Reports/Papers Other Grading Information: Three papers involve statistical analyses of social datasets.
Class Format:
67% Lecture
33% Laboratory
Workload:
15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/14093/1169
Instructor Supplied Information Last Updated:
13 March 2016

Fall 2015  |  SOC 5811 Section 001: Intermediate Social Statistics (10664)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
09/08/2015 - 12/16/2015
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Social Sciences Building 1114
Also Offered:
Course Catalog Description:
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.
Class Notes:
Click this link for more detailed course information http://classinfo.umn.edu/?knoke001+SOC5811+Fall2015
Class Description:
Measurement, theory of probability, and bivariate statistics. Multiple regression analyses of sociological data.
Grading:
100% Reports/Papers Other Grading Information: Three papers involve statistical analyses of social datasets.
Class Format:
67% Lecture
33% Laboratory
Workload:
15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/10664/1159
Instructor Supplied Information Last Updated:
11 March 2012

Fall 2014  |  SOC 5811 Section 001: Intermediate Social Statistics (10726)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/02/2014 - 09/18/2014
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Social Sciences Building 1114
 
09/25/2014
Thu 11:15AM - 12:39PM
UMTC, West Bank
Social Sciences Building 1183
 
10/02/2014 - 12/10/2014
Tue, Thu 11:15AM - 12:30PM
UMTC, West Bank
Social Sciences Building 1114
Also Offered:
Course Catalog Description:
Measurement, theory of probability, bivariate statistics. Multiple regression analyses of sociological data.
Class Description:
Measurement, theory of probability, and bivariate statistics. Multiple regression analyses of sociological data.
Grading:
100% Reports/Papers Other Grading Information: Three papers involve statistical analyses of social datasets.
Class Format:
67% Lecture
33% Laboratory
Workload:
15 Pages Reading Per Week
45 Pages Writing Per Term
3 Paper(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/10726/1149
Instructor Supplied Information Last Updated:
11 March 2012

Fall 2013  |  SOC 5811 Section 001: Intermediate Social Statistics (16375)

Instructor(s)
Class Component:
Lecture
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Class Attributes:
Delivery Medium
Times and Locations:
Regular Academic Session
 
09/03/2013 - 12/11/2013
Tue, Thu 02:30PM - 03:45PM
UMTC, West Bank
Social Sciences Building 278
Also Offered:
Course Catalog Description:
Measurement, theory of probability, bivariate statistics. Multiple regression analyses of sociological data.
Class Description:
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.
Grading:
25% Midterm Exam
25% Reports/Papers
50% Written Homework
Class Format:
70% Lecture
30% Laboratory
Workload:
20 Pages Reading Per Week
15 Pages Writing Per Term
1 Exam(s)
1 Presentation(s)
12 Problem Set(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/16375/1139
Instructor Supplied Information Last Updated:
15 July 2008

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