Welcome to SSCI321-Section 90

Welcome!

Welcome to SSCI321 - 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).

"Getting ready for the class" module assignments

There are five assignments to get ready for the class. You can find these assignments under the module named "Getting ready for the class" (The second module).

Feel free to submit assignments during the break if you wish. I will grade the assignments in 48 hours during the break.

1

[gr] Google Drive assignment (must be submitted first) (due by 01/21 - 11:57 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.

2

[gr] Syllabus quiz (due by 01/21 - 11:58 pm)

• No resubmission option. No backtracking. No time limit.

3

[gr] RStudio lab assignment: Account and packages (due by 01/21 - 11:59 pm)

• There is a video instruction for this assignment.

• This assignment needs to be submitted third. 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 receiving full credit from this assignment, students cannot continue the course.

4

[gr] Introduce yourself (due by 01/22 - 11:58 pm)

• When graded, you will receive a notification email with feedback. Follow the feedback and resubmit it until you receive full credit within the deadline.

5

[gr] Canvas notification settings assignment (due by 01/22 - 11:59 pm)

• When graded, you will receive a notification email with feedback. Follow the feedback and resubmit it until you receive full credit within the deadline.

• DO NOT submit this assignment before getting full credit from the "[gr] Google Drive assignment (must be submitted first)" assignment.

Deadlines

1. 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.

2. Once the assignment deadline and the flexibility day has passed, students are granted an additional three-day window to submit their work.

   1. 10% deduction will be applied for the first day of delay after the flexibility day,

   2. 15% deduction for the second day of delay,

   3. 20% deduction for the third day of delay. Then the submission window closes.

Where are the due dates?

1. The Modules page show each assignment's due date.

2. When you click on the assignment, you see more details, such as "Due" again, and

3. "Available until" information:

   1. For this sample assignment, the due date is Oct 2 - 11:59:00pm.

   2. After the deadline has passed, students can submit this assignment by Oct 3 - 11:59:00pm without a deduction (1 day late; no deduction).

   3. If submitted by Oct 4 - 11:59:00pm, the maximum grade could be 90 (2 days late; 10% deduction).

   4. If submitted by Oct 5 - 11:59:00pm, the maximum grade could be 85 (3 days late; 15% deduction).

   5. If submitted by Oct 6 - 11:59:00pm, the maximum grade could be 80 (4 days late; 20% deduction).

   6. Then the submission window closes. Not possible to submit this assignment.

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:

1. RStudio: Descriptive statistics (lab lecture)

2. Concepts and indicators (regular lecture)

Each lecture is accompanied by two 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?]

Assignments

Lecture assignments

Each regular lecture comes with an assignment.

Lecture quizzes

Each lecture (both regular and lab) comes with a quiz.

• [Optional] Lecture reflection: No need to submit a lecture reflection if you're satisfied with your lecture quiz. Low in-class quizzes can be compensated with a lecture reflection.

Lab assignments

Each lab lecture comes with a lan assignment. These assignments are to assess their data analysis skills in RStudio. Each lab comes with a lab lecture video and sample lab assignment video.

Exams

1. Midterm (03/20 due by 11:59pm @ online - time limited)

2. Final exam (05/12 due by 11:59pm @ online - time limited)

Assignment submissions

1. Assignments should not be attached. For this class, students will not download or upload any documents.

2. Assignments should be submitted to Canvas using Google LTI: [How to submit an assignment]: This link is located at the top of each assignment.

Incorrect submissions

1

Wrong document submission:

• If students submit a wrong document and comment "submitted a wrong document" on the Canvas assignment section before the assignment is graded, 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. See "Guidelines and rubrics" ➜ "How to post a comment on an assignment" page on Canvas (the first module called "Resources").

• 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.

2

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. See "Guidelines and rubrics" ➜ "How to post a comment on an assignment" page on Canvas (the first module called "Resources").

3

Submission made but mistakes detected later:

If mistakes are detected after submission and students wish to revise their assignment, they should type “wait” in the Canvas comment section before the assignment is graded. Once the corrections are made in the Google Drive class folder, they should add a second comment saying, “check Google Drive.” The date of the second comment will be considered the official submission date.

• This is the main reason why students should review their document before and immediately after submission.

How to work for this class?

1. Do the reading and take notes.

2. Review the slides and take notes.

3. Watch the lecture video and take notes.

4. Review your notes, then take the lecture quiz.

5. [For lab lectures]

   1. Upload the specific lab lecture’s R script file to RStudio and watch the lecture video. As you watch, run the codes as shown on the video and take notes.

   2. Watch the sample lab assignment video and take notes.

   3. If you have errors in your previous lab assignments, review the correct code and interpretations that I post as Canvas comments. Paste that code into the specific R script files and run it.

6. Complete the assignment.

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 lecture quizzes.

As soon as you are enrolled, email me, and I will reasonably adjust the missed deadlines if you are enrolled after those deadlines. Start with the assignments under the “Getting ready for the class” module (the second module) in the order seen on the Canvas module page, then lecture reflections and other assignments.

Office hours

1. Monday and Wednesday, 3:30 – 4:30 pm at my office (CAHSS 2306) & before or after my classes. Different in-person and online office hours.

2. And, by appointment

Schedule a meeting using this link