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Student Survey Responses - Unofficial Report

For Fall 2003 course: INTA 6003 S - Empirical Research Meth
Instructor: Dion, Michelle Lynn   CRN: 82325   Class Size: 24   Final Survey

CORE QUESTIONS
ITEM (5)
STRONGLY
AGREE
AGREE PARTLY
AGREE &
PARTLY
DISAGREE
DISAGREE (1)
STRONGLY
DISAGREE
N/A NO. OF
RESP.
INTER-
POLATED
MEDIAN
1. COURSE SEEMED WELL PLANNED AND ORGANIZED 3 5 0 1 0 0 9 4.2
2. GOOD JOB COVERING COURSE OBJECTIVES/CONTENT 3 5 1 0 0 0 9 4.2
3. EXPLAINED COMPLEX MATERIAL CLEARLY 4 2 3 0 0 0 9 4.3
4. WAS APPROACHABLE AND WILLING TO ASSIST 7 2 0 0 0 0 9 4.9
5. ENCOURAGED STUDENTS TO CONSULT WITH HIM/HER 7 2 0 0 0 0 9 4.9
6. CLASS ATTENDANCE IMPORTANT IN PROMOTING LEARNING OF MATERIAL 6 2 1 0 0 0 9 4.8
7. NUMBER OF ASSIGNMENTS WAS REASONABLE 4 4 0 1 0 0 9 4.4
8. EXAMS COVERED COURSE CONTENT/OBJECTIVES 4 5 0 0 0 0 9 4.4
9. EXAMS WERE OF APPROPRIATE DIFFICULTY 4 4 0 0 0 0 8 4.5
10. THE INSTRUCTOR WAS AN EFFECTIVE TEACHER 5 3 1 0 0 0 9 4.6
CORE ITEM CLUSTERS

Student Comments about the Class or Instructor

I already filled out your WebCT survey!

Please, get rid of the book. It sucked. It maybe better to have this class 3 days a week for one hour at a time. We get overwhelmed with all the material being dropped on us in a 3 hour long session, plus we dont get enough time to absorb the material before we move on to the next one.

Congratulations on a great semester! Even though the material was dry and hard your explanations and assignments made the class enjoyable and the jargon of statistics more comprehensive. Thanks

This was an excellent course, and very helpful. I have taken two other empirical research methods previous to this course, but never understood the material. Dr. Dion is very adept at explaining the material in a manner than I understood, and I came out of this course feeling that I am more accomplished at research.

I think there is a difficult balance between making sure everything is covered and covering everything in sufficient detail. Overall I think you handled it very well, and I understand that a big part of the challenge for me was that I had never taken statistics before. I''m not sure if there is a way to bridge the gap while engaging neophytes like myself and the more experienced students. Perhaps if those less adept at statistics did a series of smaller projects while the more stats-minded had a larger paper, both extremes could be accomodated. Because of my inexperience with the subject matter, my project got a little out of hand, and I think that it might have aversely affected my grade. Smaller projects might have worked a little better for me in terms of imposing stricter boundaries on what I was doing.

I really feel like I have learned a lot after completing this course. Working on individual projects gave us students the chance to work on something we personally were interested in. The projects also made sure that every student was doing his/her own work on each section. If anyone had any questions or problems about how to do a certain section of the paper, a group would form to work on it together by comparing projects. Individual work, in this case, was also group work...I think it''s the best way to make sure everyone learns how to conduct and interpret research. Every book (esp. the Multivariate Research one) was useful except the Essential Statistics one. I also like how laid-back the class was and how the material was directly applied to our projects in order for us to grasp statistical and substantive concepts better. It was hard to participate a lot since understanding the reading wasn''t so easy sometimes. Maybe having us research an outside article and picking its research apart in class would be helpful. The number of assignments was just right, although it would have been helpful to know about the last one (the article analysis)a little earlier (for time-management purposes). I really enjoyed the class and think I have a better idea of how to do a research project. You were a great professor, easygoing and helpful. Good luck next semester!

I liked the fact that the class project brought clarity to how emperical methods in research should be used. It was also great to have a professor who was so available to provide assistance and knowledgeable about where to find data. What I found frustrating were the time frames with which we had to work and the ''specific to general approach'' for some explanations. My recommendations: 1. Instead of providing many examples for us to extract the general format of a research paper, help the students develop a generalized understanding of the format, and provide one or two good examples. (I think this is the plan for next time) 2. For the assignments, given that the class was on Monday, it would have been better to have clarity established about the deliverables earlier so we could have started and then had a class period in which to raise questions (this would save on the office hours visits too). For two of the portions we had pretty much a week from having an understanding what was required to the deadline. I realize some may procrastinate, but if it were up to me, I''d have all the assignments included with the syllabus, in similar fashion as the data analysis guidelines were presented to us in the handout. Final note: it would be nice to highlight to the perfectionists that they cannot write a perfect paper, have all the best sources, or produce perfect results. Encourage them to take a best effort approach and work with what they have. In hind-sight, I made the work much harder on myself than it had to be.


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