Welcome to SBS321-02
Welcome!
Welcome to SBS321 - Survey Research!
My name is Tolga Tezcan, associate professor of sociology, and I'm your instructor. You can check my CV here.
This page will make you familiar with the course, structure, what to expect, and some other important information.
Syllabus
The syllabus is here, also under the "Resources" page of Canvas (The first module).
Read the syllabus before the first class and bring me your questions.
First meeting
Our first meeting is held on 08/26 - Monday at 10 am at Heron Hall - Room 104.
Please arrive the classroom at least 5 minutes early.
I will explain the class structure, go over the syllabus in detail, and answer your questions.
There will be a graded attendance quiz. Make sure to bring an electronic device to take the attendance quiz on Canvas. Ensure you have access to Canvas.
If you cannot attend the first class, you have an opportunity to write 700 words lecture reflection to compensate for the missed points.
Assignments for the first class
There are a couple of assignments associated with the first class.
Feel free to submit these assignments during the summer if you wish. I will grade the assignments in 48 hours during the summer.
You can find these assignments under the module named "Week 1."
Assignments with a [fw] code (except for the syllabus quiz) can be resubmitted unlimited times within the deadline period.
[fw] Google Drive assignment (the assignment that must be submitted first) (due by 08/27 - 11:59 pm)
There is a video instruction for this assignment.
This assignment needs to be submitted first. When graded, you will receive a notification email with feedback. Follow the feedback and resubmit it until you receive full credit within the deadline. Without getting full credit from the “Google Drive Assignment” (comes with unlimited attempts within the deadline), students cannot continue the course. Do not submit the rest of the assignments before getting full credit from this assignment.
[fw] Canvas notification settings assignment (due by 08/28 - 11:54 pm)
[fw] Google Calendar assignment (due by 08/28 - 11:55 pm)
There is a video instruction for this assignment.
[fw] RStudio lab assignment: account and packages (due by 08/28 - 11:56 pm)
There is a video instruction for this assignment.
[fw] Syllabus quiz (due by 08/28 - 11:57 pm)
No resubmission option. No time limit.
[fw] Introduce yourself (due by 08/28 - 11:58 pm)
[fw] lecture reflection (first class) (due by 08/28 - 11:59 pm)
You do not need to submit this if you attend the first class. You do not need to submit the rest of the lecture reflections through out the semester if you attend the classes.
Deadlines
After the deadline has passed, Canvas will automatically give a zero, but students are granted one (1) additional (flexibility) day to submit their work without a deduction.
Once the assignment deadline and the flexibility day has passed, students are granted an additional two-day window to submit their work. A 20% deduction will be applied for the first day of delay, and a 30% deduction in total for the second day of delay.
*After three days, the highest possible grade a student can receive for the assignments is 60%. To receive 60%;
Week 1 - Week 4 assignments must be submitted right after Week 4 (9/24 at 11:59pm)
Week 5 - Week 10 assignments must be submitted right after Week 10 (11/05 at 11:59pm)
Week 11 - Week 16 assignments must be submitted right after Week 16 (12/17 at 11:59pm)
Class structure
We have two lectures each week. The first class is lab, the second class is regular lecture.
Below is a sample overview, which includes two lectures:
RStudio: Descriptive statistics (lab lecture)
Introduction to survey methodology (regular lecture)
Each lecture is accompanied by three assignments (indented items are assignments associated with the specific lecture above):
Click on the lecture names to see the readings, slides, and lecture videos. See [Where are the readings, slides, and lecture videos?]
General format of the lectures
The general format of the lectures is as follows, though note that adjustments may be made for certain specific lectures:
Note: Lab lectures are listed in Table 3 (Course schedule) in the syllabus, with topics beginning with “RStudio.” Students should arrive in the classroom at least 5 minutes early on lab days to:
log in to the lab computer,
log in to RStudio Cloud (Posit), and
log in to Canvas.
download the script file, and
run the packages and data codes.
Assignments
Quizzes: Taken in the classroom and cannot be taken outside the classroom.
Lecture assignments: We'll start (and most of the time finish) these assignments during the class.
Lecture reflection: No need to submit a lecture reflection if you attend the class.
Missed in-class quizzes can be compensated with a lecture reflection. Those who wish to improve specific in-class quiz grades can also submit lecture reflections.
Exams
Midterm (10/23 - 10am @ classroom, in-person)
Final exam (12/18 - 10am @ classroom, in-person)
Assignment submissions
Assignments should not be attached. For this lecture, students will not download or upload any documents.
Assignments should be submitted to Canvas using Google LTI: [How to submit an assignment].
As explained in [How to submit an assignment],
The copied version of the Google Doc assignments must be in the correct weekly subfolders. If they are not, move them: [How to move a file in Google Drive]
If the name of the weekly subfolders or Google Doc assignments are incorrect. rename them: [How to rename a file and folder in Google Drive]
When the lecture assignment has a [Highlighting and Commenting] link at the very top, students must annotate the instructions following the [Highlighting and Commenting] guideline before starting the assignment; otherwise, they will receive a -10 penalty.
When there is “WC” (Word count) under the responses, students must provide the word count of their responses; otherwise, they will receive a -5 penalty. Incorrect word counts also receive a -5 penalty.
What are the benefits of attending classes?
Less work: No need to write a 700-word lecture reflection to compensate for each missed in-class quiz.
Better comprehension: During the 30-40 minute lecture, you will take notes for in-class quizzes, helping you better understand the content (see “Maximizing learning within limited time” under the “Teaching and Learning Structure” in the syllabus).
Immediate feedback: After the in-class quiz and a 5-minute break, you will begin the assignment, and I will provide individual feedback right away and answer any questions.
One-on-one meetings: I always arrive 15 minutes early to the class and stay 15 minutes late. Schedule an appointment and ask me your questions before or after class, or during the break.
Making friends and networking: Over half of the assignments are done in groups (2-3 members, with different peers each class). This helps you make friends and look forward to seeing each other.
College Experience: Regular attendance provides a real college life experience. College is more than just grades; it is about networking and developing social skills.
How to work for this class?
Attend the classes.
Do the reading before coming to class.
Review the slides before coming to class.
Take notes during the class (paper-pen-method).
Watch the lab lecture videos after class if you were late or struggled.
Watch the lab lectures videos before coming to a lab class if you struggled during the previous lab lectures.
Incorrect submissions
Students should review their document before and immediately after submission.
Assignments submitted to Canvas will be graded, and grades are final.
There is no resubmission option.
Assignments should be submitted to Canvas. Assignments via email, message, or Canvas comment are not accepted.
If there is no document in the weekly subfolder, no credit will be given even if a submission is made that would normally receive full credit.
Some exceptions:
Wrong document submission:
If students submit a wrong document and comment "submitted a wrong document" on the Canvas assignment section before grading, the correct document from their Google Drive week folder will be graded without deduction. Assignments revised or created after the due date do not qualify for this option.
If no comment is made and the correct document is already in the Google Drive week folder at the time of grading, it will be graded with a 10% deduction, using Google Doc Version History. Assignments revised or created after the due date do not qualify for this option.
Submission made but no document in the Google Drive weekly subfolder:
If submission is made and there is no document in the weekly subfolder, zero will be given and I will contact the student. Upon notification, the student may move the file to the relevant week's subfolder and type "moved" in the Canvas comment section of the assignment. The assignment will then be graded with a 10% deduction. Assignments revised or created after this communication do not qualify for this option.
Late enrollment
If you are enrolled late in this class, read the syllabus and the welcoming page that was sent through the announcement (check the very top of class Canvas page) immediately. Since you have missed some classes, you can submit lecture reflections to compensate for missed in-class quizzes.
Submitting lecture reflections for lab classes and lab assignments is mandatory. Otherwise, you will lose 1% for each missed lab class lecture reflection and lab assignment from your overall grade, in addition to receiving a zero for missed in-class quizzes and missed assignments. As soon as you are enrolled, email me, and I will reasonably adjust the missed deadlines.
Start with the assignments under Week 1 (with the “fw” codes) in the order seen on the Canvas module page, then lecture reflections and other assignments.
Office hours
Tuesdays and Thursdays, 2:00 – 3:00 pm at my office (CAHSS 2306) &
Before or after my classes
Schedule a meeting using this link
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