Unit 4: Polishing and Presenting Research (materials for the other course units are accessible from the course homepage).
Materials you will find useful for this
unit:
The course's big deliverables:
The grading rubric for your final
presentation of the thesis. Note: some aspects
of this assignment will be changed due to social
distancing and masking requirements. We likely will do
the presentations using virtual meeting software.
Thesis assignments (these may be modified as their due
dates approach, so don't print them out way ahead of
time):
Thesis assignment 4: A draft of the thesis section describing your hypotheses data, variables, and methodology (which will require you to attach a codebook that you will create with this template).
Thesis assignment 5: A draft of the thesis's findings (including tables and figures) and conclusions
Professional Development Assignments (these may
be modified as their due dates approach, so don't print
them out way ahead of time):
Prof. Development 1: Mandatory mentor meetings (Specifics and grade rubric distributed by email)
Prof. Development 2: A series of BlackBoard assignments on using SPSS and interpreting its output.
Week 13 (11/12 and 11/14): Student practice presentations. These presentations will include similar content as your last one (see Unit 3, Week 10), but also include:
A correlation matrix (which should
demonstrate that you do not have multicollinearity
issues (i.e., a correlation of .7 or higher between
any of your independent variables (if you do, see Dr.
Setzler for gudance). Note: the matrix will not go
into the final version of your presentation;
this chart should be a screengrab with SPSS output.
You will be putting it up as part of your presentation
to verify that you do not have any serious
multicollinearity issues that could be messing up your
regression results.
Regression results in the finding section. For
regression models, they can be screenshots of SPSS
output for now. Your later presentations will require
polished tables and (if appropriate) graphs of
predicted probabilities.
Week 14 (11/19 and 11/21): Final, graded, practice presentations
Look for the e-mailed announcements about the timing
of your presentation. These assignments are graded.
Make sure to review complete the checklist noted in
the the presentation's instructions and
grading criteria (i.e., Prof. Assignment #3).
Week 15
On Tuesday 11/26 by 5pm (i.e., right before Thanksgiving Break), you will need to submit an electronic copy (I will print out a hard copy for you) of Thesis Assignment 5: A draft of the thesis's findings (including tables and figures) and conclusions.
Tuesday (11/26)
will be available for practice and any makeup
graded presentations.
Outside of class. as soon as a draft of your
findings section is done, you should be devoting
considerable effort to revising your entire thesis,
including work submitted earlier in the term.
Typically, the section that needs the most work is
your first major assignment ("The front end" of the
study).
No class on Thursday, 11/28: Happy Thanksgiving!
Week 16 (12/3; 12/5, with Final Presentations on Reading Day, December 6)
Tuesday will be available for practice presentations for any student who wants one more practice opportunity.
On Thursday, we
will meet briefly to wrap up the class. If
anyone needs to give a last-minute practice talk that
an be arranged.
Friday, December 6 is Reading Day, the day of your final oral presentations. As noted in the syllabus at the start of the course, your final oral presentations are scheduled for this day so that you can invite other students to see your work and so that of the department's faculty can attend the presentations. The grading rubric for the oral presentation is linked at the top of the schedule, as has been the case all term.
Week 17
The final version of your thesis paper is due by no later than 3pm, Monday, December 9, It should be submitted by e-mail as an attachment. It needs to be in Word or PDF format.
To make it easier to find things, I have broken up the assignments calendar into multiple units. The material for the previous parts of the course can be accessed by going to the course homepage and following the appropriate links.