Conducting Quantitative Research
To prepare for this Discussion, review this week’s Learning Resources. Then, look at the data set for the Final Project (provided in this week’s Final Project, Part I) and engage in the following steps:
• Develop a research question based on the variables in the data set.
• Formulate a null hypothesis and an alternative hypothesis.
• Consider the difference between a Type I error and a Type II error and think about how each of these might be demonstrated in this situation.
• Research what is meant by a “familywise error” and consider whether or not this type of error might be of concern in this situation.
By Day 4, post a comprehensive response to the following:
• Based on the data set for the Final Project, describe your research question, discuss your null and alternative hypotheses, provide an explanation of Type I and Type II errors, and explain why you think a familywise error would—or would not—be of concern. Be sure to provide a rationale for your response.
Read a selection of your colleagues’ postings.
By Day 6, respond to at least one of your colleagues’ postings.
See the Week 6 Discussion area for complete instructions.
• Video: Laureate Education, Inc. (Executive Producer). (2010). Research methods and quantitative analysis: Conducting quantitative research, part two. Baltimore, MD: Author.
• Course Text: Discovering Statistics
o Chapter 11, “Introduction to Hypothesis Testing”
o Chapter 12, “Additional Topics With Hypothesis Testing”
Statistics Software Exercises
• Software: Statistics
o Lesson 9.1, “Fundamentals of Hypothesis Testing”
o Lesson 9.4, “Hypothesis Testing Means: P Value”
o Lesson 10.2, “Hypothesis Testing—Two Means (Sigma Known)”
o Lesson 10.3, “Hypothesis Testing—Two Means (Sigma Unknown)”
o Lesson 10.4, “Hypothesis Testing—Two Means (Dependent Samples)”
Optional Resources (if applicable) are listed in the Learning Resources area for the week.
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