Posted: September 17th, 2017

Compare and contrast methods of collecting data

Unit 2 DB Analysis, Assessment, and Technology
Assignment Objectives
Compare and contrast methods of collecting data

2 pages

Deliverable Specifics
Part 1
Research methods vary and different approaches are needed. A magazine editor in a small town would like to include articles on several topics in the next issue.
1. Decide which of the following proposed article topics are suitable for a quantitative or qualitative research and explain why.
2. Coin collections, favorite recipes, rising home costs, best high schools, carpools, political polls. Parent teacher participation, book fairs.
Part 2
An important part of beginning a research project is being able to review literature and analyze the implications of already completed research methods, data, and findings. Therefore, researchers must have a solid foundational mastery of differences between research methods, data collection, and reporting. For this discussion board, discuss the differences between quantitative and qualitative research. Specifically, you should:
1. Give a definition of a hypothesis and a null hypothesis and identify the method of research that uses a hypothesis.
2. Discuss what you believe are the key elements of a well-written set of hypotheses. Support your opinion with appropriate peer-reviewed sources other than the textbook.
3. Give a definition of a research question or problem and identify the method of research that traditionally uses a research question or problem.
A. Discuss what you believe are the key elements of a well-written research question/problem.
B. Support your opinion with appropriate peer-reviewed sources (other than the textbook).
4. Discuss how selecting a sample to study differs between quantitative and qualitative methods.
5. Describe 2 data-collection instruments, and determine whether the instrument will be used to collect quantitative or qualitative data.
6. Explain how analysis of quantitative data differs from analysis of qualitative data.

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