For this assignment we will answer questions on Variables and Data code. Compare and contrast associational, difference, and descriptive types of research questions.

Variables and Data code

Paper details Respond to the following short answer questions from the Morgan, Leech, Gloeckner, & Barrett textbook: D1.1 Variables. What kind of independent variable (active or attribute) is necessary to infer cause? Can one always infer cause from this type of independent variable? If so, why? If not, when can one infer cause and when might causal inferences be more questionable?  D1.2 Research Questions I. Compare and contrast associational, difference, and descriptive types of research questions. D1.3 Research Questions II. Using one or more of the following HSB variables; religion, mosaic pattern test, or visualization score:

Variables and Data code

Write an association question Write a difference question Write a descriptive question D1.4 Data Coding I. Are there any other rules about data coding of questionnaires that you think should be added to what you have studied? Are there any rules that you think should be modified? If so, which ones, how should they be modified, and why? D1.5 Data Coding II.  If you identified other problems with the completed questionnaires in Chapter 2 problem 2.1, what were they? How did you decide to handle the problems and why? D1.6 Data Coding. https://youtu.be/ghCbURMWBD8

Variables and Data code

III. Why is it important to check your raw (questionnaire) data before and after entering them into the data editor? What are ways to check the data before entering them? What are ways to check the data after entering them? Textbook: https://bookshelf.vitalsource.com/books/9781136461804

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