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Sociology

Jing Li

Quantitative Methodologist

Adjunct Associate Professor, Sociology

Member, Institute of Health Resilience and Innovation

Public Rice profile source

Average rating

3.4

16 temporary mock ratings

Difficulty

3.8

course-linked average

Courses

7

in seeded sections

Public profile

Research areas

Demography; Health; Immigration; Social Stratification and Inequality; Statistics and Methods

Courses taught

SOCI 327

Kinder Inst For Urban Research

This course offers the opportunity to work with a faculty member on that faculty member's existing research project. The course involves intensive pedagogy and mentoring including a pedagorical plan developed in conjunction with the sponsoring faculty member.

SociologyNone1-4 credits
3.95.4hAbramson, Corey, Bratter, Jenifer, Brown, Tony, Bryan, Brielle, Chavez, Sergio, Considine, Craig, Diaz, Christina, Ecklund, Elaine Howard, Elliott, Jim, Evans, Shani, Ewoodzie, Joseph, Fiel, Jeremy, Gorman, Bridget, Hordge-Freeman, Elizabeth, Jalili, Jaleh, Kimbro, Rachel, Li, Jing, Padmanabhan, Kavya, Rhodes, Anna, Roberto, Elizabeth, Turley, Ruth, Waggoner, Miranda

SOCI 403

Independent Study

Directed reading and written papers on subjects not regularly offered; advanced study of subjects on which courses are offered. Repeatable for Credit.

SociologyNone1-6 credits
3.45.9hAbramson, Corey, Bratter, Jenifer, Brown, Tony, Bryan, Brielle, Chavez, Sergio, Considine, Craig, Diaz, Christina, Ecklund, Elaine Howard, Elliott, Jim, Evans, Shani, Ewoodzie, Joseph, Fiel, Jeremy, Gorman, Bridget, Hordge-Freeman, Elizabeth, Jalili, Jaleh, Kimbro, Rachel, Li, Jing, Padmanabhan, Kavya, Rhodes, Anna, Roberto, Elizabeth, Smirnova, Michelle, Thomas, Kevin, Turley, Ruth, Waggoner, Miranda

SOCI 492

Directed Honors Research

Sociological research under faculty supervision. Includes first-semester review of relevant literature and the preparation of an outline for planned research, followed by second-semester research and the writing of an honors thesis. Open only to students in sociology honors program.

SociologyNone3 credits
3.89.8hAbramson, Corey, Bratter, Jenifer, Brown, Tony, Bryan, Brielle, Chavez, Sergio, Considine, Craig, Diaz, Christina, Ecklund, Elaine Howard, Elliott, Jim, Evans, Shani, Ewoodzie, Joseph, Ferguson, Todd, Fiel, Jeremy, Gorman, Bridget, Hordge-Freeman, Elizabeth, Jalili, Jaleh, Kimbro, Rachel, Li, Jing, Padmanabhan, Kavya, Rhodes, Anna, Roberto, Elizabeth, Smirnova, Michelle, Thomas, Kevin, Turley, Ruth, Waggoner, Miranda

SOCI 596

Statistical Programming

This course will provide a thorough introduction to the statistical software package Stata. The emphasis will be on important skills for quantitative research that are not typically covered in statistics classes. Topics will include: data management, creating graphs, presentation of results, workflow, and documenting one's work.

SociologyNone3 credits
3.38.2hLi, Jing

SOCI 605

Non-Thesis Graduate Research

Individual research not for thesis credit. Repeatable for Credit.

SociologyNone1-9 credits
3.66.7hAbramson, Corey, Bratter, Jenifer, Brown, Tony, Bryan, Brielle, Chavez, Sergio, Diaz, Christina, Ecklund, Elaine Howard, Elliott, Jim, Evans, Shani, Ewoodzie, Joseph, Fiel, Jeremy, Gorman, Bridget, Hordge-Freeman, Elizabeth, Jalili, Jaleh, Kimbro, Rachel, Li, Jing, Rhodes, Anna, Roberto, Elizabeth, Smirnova, Michelle, Thomas, Kevin, Turley, Ruth, Waggoner, Miranda

SOCI 606

Thesis Research

Thesis Research Repeatable for Credit.

SociologyNone3 credits
3.711.6hAbramson, Corey, Bratter, Jenifer, Brown, Tony, Bryan, Brielle, Chavez, Sergio, Diaz, Christina, Ecklund, Elaine Howard, Elliott, Jim, Evans, Shani, Ewoodzie, Joseph, Fiel, Jeremy, Gorman, Bridget, Hordge-Freeman, Elizabeth, Jalili, Jaleh, Kimbro, Rachel, Li, Jing, Rhodes, Anna, Roberto, Elizabeth, Smirnova, Michelle, Thomas, Kevin, Turley, Ruth, Waggoner, Miranda

SOPE 503

Quant Methods For Prog Eval

This course provides an in-depth introduction to the methods of program evaluation. The associated lab provides concrete examples for the students to gain practical experience in applying these methods. The methods presented will include: Randomized Controlled Trials, Instrumental Variables, Difference in Difference, Propensity Score Matching, and Regression Discontinuity Design. At the end of this course, students should be able to use these methods to conduct impact evaluations of social programs and to do a critical assessment of evaluations performed by others.

Social Policy EvaluationNone5 credits
3.513.6hLi, Jing, Perry, Steven

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