moderator, which is your moderating variable that was only measured at the first measurement moment

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

 

Welcome to the resit for the second individual assignment. This assignment consists of ten questions, testing knowledge from Sessions 3, 4, and 5 of the course. To pass the assignment, you will need to have a score of 16.5 or higher. In this assignment, you will:

1)      Run and interpret a non-linear effect in a panel data regression model.

2)      Run and interpret a model with mediation.

3)      Run and interpret a non-linear model with moderation.

You will only require the commands and knowledge from class and the videos associated with these classes. All information required to complete the assignment is given within the assignment. Make sure to keep track of your steps (for instance, via a .do file) and to read the full information provided to you carefully.

It is recommended that you use Stata for this assignment.

You have one attempt to complete this assignment. Please DO NOT navigate away from quiz window or close this window once you start it. Do not use any browser navigation buttons (i.e. Back, forward, Home etc). Please also be sure to submit your answers after completing the test.

Your dataset will contain the following:

1)      id, which identifies your units of observation.

2)      time, which is your time identifier.

3)      independent, which is your main explanatory variable.

4)      dependent, which is your outcome variable.

5)      count, which is a count variable that was only measured at the first measurement moment (when the time variable equals one). It may have fewer observations than the number of ids.

6)      moderator, which is your moderating variable that was only measured at the first measurement moment.

7)      control1, which is a control variable that was only measured at the first measurement moment.

 

8)      mediator, which is your mediating variable that was only measured at the first measurement. 

Attachments:

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