Project3 - plan (FMSN40)

Only for students on FMSN40 ...with data gathering!

New (2/4): What the plan should contain, and the timeline of the Project, see below.

New (2/4): Lecture notes 8/4: lecture_FMSN40_vt20.pdf

New (8/4): Lecture video: at the end of this page.

The "...with data gathering" part means that you should come up with your own Project 3 and collect your own data.

You should work in groups of (approx) 2 students. I am grouping you in the same groups as you have for Project 1, unless you are working with a non-FMSN40-student. Then you have to form a new pair for Project 3.

You have one extra lecture (8 April) and an extra computer session (28 April) were you will get help coming up with a (preliminary) plan. You can also discuss it on one of the Project help slots 8/4 at 13.15-15.

Submit the plan Tuesday 28 April at 16.00. Expect feedback before 10 the next day. You may have to submit a revised plan.

Then go out and collect the data. Submit the data by Monday 18 May at 16.00 from: Project3 - data (FMSN40), together with a final revision of the plan.

The plan should contain the following:

1. Title

Supply a preliminary title for your project.

2. Aim of the project

Describe the problem that you are going to investigate.

3. Data description

What is an observation unit (the rows in your data frame)? Different persons? Countries? Brands? Years?
What are the variables (the columns in your data frame)?
Describe your intended response variable () and the independent variables (). You must have at least three independent variables!
For each variable, state its type, its measurement unit or its categories, and why you suspect it might be relevant to your problem.

4. Sample size calculation

Make an estimate of the minimal sample size you will need in order to estimate your regression model.

5. Proposed data collection

Describe how you are going to collect your data.
If it is from a webpage, supply the link.
If using a questionnaire, supply it.
If using an experimental design, supply it.

About Project 3

Project 3 deals with both the ''data gathering'' and ''other regressions'' parts of the course.

1. Come up with a problem that can be solved by some type of regression model. There is no need to restrict yourself to linear or logistic regression so do not worry about normally distributed errors, and such.
   The lecture on Wednesday 8 April will cover a number of things that you will need to keep in mind here.
   Feel free to discuss your plans with the other groups but each group must come up with a different project.
2. Write a project plan (in English or Swedish) describing the problem you intend to investigate, including a description of the variables you intend to measure and how to collect them, instructions above.
   The extra computer exercise on 28 April is dedicated to helping with this.
   Submit the plan by Tuesday 28 April at 16.00. Expect feedback the next day, after which you may need to revise the plan.
3. Collect the data (and revise your plan as necessary).
4. Attend Lecture 11 and 12 and decide what type of regression might be suitable for your data.
5. Submit a revised project plan (pdf), including intended choice of regression type, and the collected data (preferably as RData) on Project3 - data (FMSN40) at 16.00 Monday 18 May.
6. Analyze the data.
7. Present your study to (some of) your fellow FMSN40 students (and me) 25-27 May.
   The presentation should be 20 minutes long (in English) and the persons in the group must do about equal amounts of the talking.I intend to book four (five if necessary) groups during each 2-hour (105min) slot and you are expected to attend the other presentations in your slot.
   We will use Zoom. Presenters must have Video!
   Submit your slides before your presentation; Project3 - presentation

Lecture video (in Swedish) 8/4: