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Discussion Thread: Variables, Research Questions and Data Coding Respond to the following short answer questions from Chapter 1 of the Morgan, Leech, Gloeckner, & Barrett textbook: This introducti

Discussion Thread: Variables, Research Questions and Data Coding

Respond to the following short answer questions from Chapter 1 of the Morgan, Leech, Gloeckner, & Barrett textbook:

This introduction to the research problem and questions raised by the HSB dataset should help make the assignments meaningful, and it should provide a guide and some examples for your own research.

Interpretation Questions

D1.1.Compare the terms active independent variable and attribute independent variable. What are the similarities and differences?

D1.2.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?

D1.3.What is the difference between the independent variable and the dependent variable?

D1.4.Compare and contrast associational, difference, and descriptive types of research questions.

D1.5.Write a research question and a corresponding hypothesis regarding variables of interest to you but not in the HSB dataset. Is it an associational, difference, or descriptive question?

D1.6. Using one or more of the following HSB variables, religion, mosaic pattern test, and visualization score

(a.)Write an associational question.

(b.)Write a difference question.

(c.)Write a descriptive question.

Please review the Discussion Assignment Instructions Download Discussion Assignment Instructionsprior to posting. You may also click the three dots in the upper corner to Show Rubric.

Post-First: This course utilizes the Post-First feature in all Discussions. This means you will only be able to read and interact with your classmates’ threads after you have submitted your thread in response to the provided prompt.

Submit your thread by 11:59 p.m. (ET) on Sunday of Module 1: Week 1.

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