|Semester||Spring Semester, 2021|
|Department||MA Program of Sociology, First Year PhD Program of Sociology, First Year MA Program of Sociology, Second Year PhD Program of Sociology, Second Year|
|Course Name||Intermediate Statistical Methods|
The course expects every student to spend at least 6 hours per week (including in-class time) to prepare for and review course material.
To be arranged.
Please help each other by all means to exchange notes for missed class sessions study for exams etc. The assignments that you turn in should be your own work, however. Any form of violation will result in a "zero" for that particular assignment or an "F" for the course at my discretion.
“(i) Do your own work. Plagiarizing from other students, books and journals, the internet, and other sources is a serious offense and is not acceptable. Plagiarism is automatic grounds for failing the course. Be sure to fully cite your work in regard to any paper due for the course. Plagiarism is the deliberate or reckless representation of another's words, thoughts, or ideas as one's own without attribution in connection with the submission of academic work, whether graded or otherwise. (ii) All academic work in this course, including homework, quizzes, and exams, is to be your own work unless otherwise specified. It is your responsibility if you have any doubt to confirm whether or not, and in what form, collaboration is permitted.”
Mid-term Presentation: 15%
Final Research Paper: 35%
A+:100~90; A:89~85; A-:84~80; B+:79~77; B: 76~73; B-:72~70 (For graduate students, the passing grade is 70)
Please see the attached "Statistical Literacy Rubrics" for the assessment criteria of all assignments (i.e., homework, presentations, and the final paper).
Each student is required to present a preliminary research project of his/her choice in the mid-term. The project should be related to the final research paper. A typical presentation includes:
1. A brief review of the literature - at least one paper related to the intended research questions and using multivariate analysis should be reviewed and discussed in the presentation.
2. Research questions/hypotheses
3. Data utilized - the data set should be appropriate for the intended multivariate analysis
4. Preliminary data analyses and results - Here the focus is only on the statistical method of concern.
The presentation should be 15 minutes at most.
Final research paper
The course requires each student to use a data set on a topic of their choice. The data set preferably should contain many observations and variables. The task is to develop a series of research hypotheses based on theory or past empirical evidence and then apply some of the multivariate techniques covered in class on such data for testing them.
|Textbook & Reference|
Agresti, Alan, 2018. Statistical Methods for the Social Sciences. Upper Saddle River, NJ: Pearson International Education.
|Urls about Course|