| Item | Percent |
| Team Project (600 pts) | 60% |
| Class activities (300 pts.) | 30% |
| Final Exam (100 pts) | 10% |
| TOTAL | 100% |
Letter grades are assigned as follows:
I reserve
the right to curve class grades if I feel it necessary. Any curving, if
done, will never adversely affect your grade with regard to the above schedule.
For example, if everyone in the class gets above 90% for their final grades,
everyone will receive an A. If everyone in the class gets between 75% and
88%, I may curve the grades so that 88% is an A. Any grade curving
will be done solely at my discretion.
Late assignments are not accepted. Please plan accordingly and remember that Murphy's Law operates at 100% in the computer labs - especially towards the end of the semester. Do NOT wait until the last minute to do class assignments, prepare analyses, or write project reports!!
The project will consist of eight parts, each coinciding with a stage of the research process and with the organization of the text. The eight parts are described in further detail below. I will be happy to review and make comments on your report drafts up to 72 hours before the due date. I strongly advise you to take advantage of this review process! All projects are due at class time unless otherwise noted.
All written reports MUST be word-processed. If you save each written report on disk, your final report will be much easier to prepare because the final written report includes significant portions of the previous seven reports and each part of the project builds on the previous reports. Team presentations will be made in the evening during the last week of classes. All class members are required to attend class presentations. Please make any necessary adjustments to your schedule now.
Projects are graded on quality and depth of analysis and professionalism of both the presentation and the written reports (yes, this includes spelling and grammar). Effective communication is a critical skill for those employed in business fields. Some evidence of effective written communication is clarity of expression, logical arguments, good organization, and lack of spelling and grammatical errors. You will be graded on all of these elements. Spelling and grammatical errors indicate carelessness, lack of effort to proofread, and insufficient time allowed for accurate completion of written reports. Each spelling error, typo, or grammatical error will cost you 1/2 point. I strongly suggest careful proofreading of all written assignments. I also suggest that you use the College of Business Communication Handbook (available in the Bookstore) as a reference for effective writing.
The research team receives a grade for each part of the project. Individual project grades may be equal to, higher than, or lower than the team grade. An individual's project grade is determined from both the team grades and peer evaluations. Two peer evaluations are required; one for Parts I - III, the other for Parts IV - VIII.
**This individual's scores may be dropped from the team's scores and the team average recomputed. This procedure is selected based upon score discrepancies and/or written comments.
Peer evaluations are strictly confidential. No one in the class may see anyone else's peer evaluation.
Part
One: (20 pts) Problem Definition and (partial) Research Proposal
Maximum:
2 pages, typed, double-spaced
Due: Tuesday,
Jan. 29
Description:
This brief analysis should include a project title, statement of the problem,
purpose and scope of the project. The scope includes both the research
questions you plan to investigate and those items that you will not be
examining in this research.
Part Two:
(20 pts) Proposed Research Design
Maximum:
1 page
Due: Thursday,
Jan. 31
Description:
Identify the type of research you have selected as appropriate for answering
this research question and support your decision.
Part Three:
(40 pts) Secondary Data Report and Data Collection Method
Maximum:
10 pages
Due: Thursday,
Feb. 7
Description:
For this project report, you will collect any and all secondary data you
deem relevant to help define or answer the research problem with regard
to your preliminary hypotheses and/or research proposal. If appropriate
this data may be reported in charts, graphs, and/or tables with necessary
documentation and source citations/references. Finally, you must identify
and justify the primary data that you will collect to further illuminate
the research problem and answer your research hypotheses and identify the
method you will use to collect this data.
Part Four:
(40 pts**) Data Collection Forms
Maximum:
None
Due: Thursday,
Feb. 21
Description:
Submit the form you will use to collect your primary data.
If you
are doing a survey: Include dummy tables for your planned future data
analyses. NOTE: Do not blow off these dummy tables. These are extremely
important and take time to design. Every question in your survey should
appear in at least one dummy table. If you have a question that doesn’t
show up in a dummy table, that question probably shouldn’t be in the questionnaire.
If you
are doing qualitative research: (e.g., focus groups) Include the list
of desired topics of discussion and the corresponding probe questions.
Also, submit your plan for analyzing the data.
Important
Note: The original data collection form you submit will have to
be revised to meet both my and your client's approval. This usually
takes 6-8 revisions. The faster you get your data collection form
approved, the sooner you can start collection data. Virtually everygroup
from previous classes has indicated that data collection took longer than
they thought it would and that they waited to long to start data collection.
PLEASE GET YOUR DATA COLLECTION FORM APPROVED AS EARLY AS POSSIBLE!!!!
**20 point
bonus if final data collection form is approved by Tuesday, March 5.
Part Five:
(40 pts) Sampling, Data Collection and Field Procedures
Maximum:
4 pages, not including tables/charts
Due: Tuesday,
March 5
Description:
Define and justify your target sample. Select and support the type of sampling
strategy you will use to collect data. Determine the appropriate sample
size and show your calculations in a table or chart. Describe your field
procedures in detail and the processes you will employ to reduce non-sampling
error.
Part Six:
(20 pts) Data Analysis: Part A, Descriptive Statistics
Maximum:
None
Due: Tuesday,
April 9
Description:
Describe your sample and results of sample representativeness tests. Report
descriptive statistics for each question on your survey. Depending on question
type, include number of responses, number and percent in each category,
number and percent valid/missing responses, mean, median, mode, and standard
deviation. Interpret results of each question.
Part Seven:
(20 pts) Data Analysis: Part B, Inferential Statistics
Maximum:
None
Due: Tuesday,
April 16 at 5:00 PM
Description:
Report the results of your crosstab and inferential statistics data analysis
using appropriate verbal descriptions and tables/charts/graphs. If not
completely obvious from the results, include a description of the type
of statistical analysis done. This report is usually best organized by
having explanatory text with accompanying appendices/tables/charts. The
text should identify the hypothesis being tested, tell the results of the
test, and explain what it means in practical terms. The appendices should
include the results of your statistical testing to provide support for
the conclusions you are making. You may use the actual output from the
data analysis as support IF it is neat, well organized, and properly referenced
in the text.
Part Eight:
(400 pts) Written Research Report (200 pts) and Oral Presentation (200
pts)
Maximum:
Written
Report
- 20 pages, including Title Page, Executive Summary, and Text.
Figures, Graphs, Charts, Tables, and References are not included in the
20-page maximum.
Oral
Presentation
- 30 minutes.
Due: Written
- Tuesday, April 23 at 5:00 PM
Oral -
Tuesday, April 30 or Wednesday, May 1
Description:
The written portion of the report summarizes the research by presenting:
NOTE: The
written report is NOT just a concentration of the previous six parts. You
must make revisions, often extensive, to some of your previous reports.
For example, Parts 1 - 5 were written before you actually collected and
analyzed the data (i.e., future tense). However, in the final report you
must report what you actually did (i.e., past tense). Also, some parts
of previous reports, such as calculations for sample size, may not need
to be included in the final report or may appear in appendices.
The oral portion consists of presentation of the highlights of the written report (with appropriate visual materials) to the class, your research client, and potential visitors.
You may work on these modules at any time, but each module must be completed by March 7. Late certifications do not count towards your class activities grade.
To get certified on a module, you must correctly work through a number of multistage problems (usually 3 or 4). The program allows you a limited number of misses (usually 3 or 4). If you exceed the allowed misses, you will be ejected from the certification mode and have to start over again with a new set of problems to get certified. Therefore, there is no partial credit for certifications; for each module you are either certified or not. Getting certified may take you longer than you think because the program is fairly sensitive to rounding differences and 100% sensitive to typographical errors. Allow yourself enough time to get certified in each module.
Quizzes and Other Class Activities (180 points): Quizzes are given at the beginning of class. If you are not seated and ready in the classroom when the quiz is handed out, you are considered absent for that quiz. Small group activities and/or discussions comprise other class activities. Quizzes and class activities generally count between 10 to 25 points each.
SPSS Assignments (24 points): SPSS for Windows will be used to analyze your research data. This is an extremely powerful, yet rather easy to use (at least in the Windows version) data analysis program. We will go over the basics of the SPSS program in class. Two homework assignments will familiarize you with most of the major procedures you will use in your data analyses.