You will have to upload your solution onto ILIAS.
The exercises are checked and rated as "Pass" or "Not pass".
A "Pass" does not mean that your solution is error-free. It simply means that it meets the minimum standards. It is therefore essential that you always compare your work with the suggested solutions, posted on ILIAS after the submission date.
An Exercise consists of three types of tasks: Task 01, Task 02, and Divertimento
For Task 01, you are not only handed a task but also a sample solution. In most cases, Task 01 is introductory. The aim is that you work through this task during the tutorial and – if needed – consult with a tutor.
You do not need to submit a solution to Task 01.
For Task 02 you are only handed a task. The aim is – same as above – that you work on this task during the tutorial and consult with a tutor when needed. However, the time during the tu-torial will not always be sufficient to complete writing your solution.
For Task 02 you need to submit your own solution.
For the Divertimento, you develop your own answers but do not need to submit them.
You are expected to consult the sample solutions yourself.
Suggested solutions to Task 02 and to the Divertimento are posted on ILIAS after the submis-sion deadline for the exercise. In addition, you are provided a corresponding up-to-date SPSS syntax file "Syntax_MSC.sps" on ILIAS: … → SPSS Resources.
Your solution to every task – except for the Divertimento – must contain the following four elements:
Use the solutions we provide as "Task 01" or later as a guide when writing your solutions.
Keep your solution concise. Do not include the entire SPSS output in your solution but decide which parts are relevant. For example, it is not necessary in most cases to include frequency tables because they take up a lot of space and contain little information.
Include comments
on the elements of the SPSS output that you use in your solution. Try to develop arguments based on the content of the items. Because the result may vary depending on the thresholds or specifications used, a number of interpretations may be possible.
Offer a concise explanation on how you arrived at your interpretation.
When providing a statis-tical interpretation of results, please use the style proposed in the lectures (e.g. under "Typical statistical statement").
Example: "There is a correlation between smoking and lung cancer. Cramer's V is less than .3, which means that the correlation is not very strong, 2(1) = 4.658, p = .031, V = .167."
For each task, write a brief summary (3-5 sentences) relating to the topic.