Directions
First, write a simple hypothesis. State your hypothesis in such a way that it could be tested. Here are some examples:
Second, describe how you might use naturalistic observation, case studies, survey research, and correlational research to help prove/disprove your hypothesis. Note: When you describe your correlational research, include the two variables you will be examining and the type of relationship you project to exist between the two variables (i.e., positive or negative correlation).
For example, let’s use the hypothesis, People who play video games for more than 2 hours every day are introverted. Here are examples of how these different types of research could be used to research or test this hypothesis:
Type your responses in a Word document. Click the assignment title to attach your Word document. Include “activity_one” and your name in the file name to ensure you receive credit for submitting your assignment (activity_one_john_smith.doc).
You can check if your assignment was successfully submitted by accessing your My Grades page. Your assignment should be in Needs Grading ( exclamation mark represents Needs Grading status ) status, which means it is ready to be accessed and graded. Click the exclamation mark to see the Review Submission History page. This assignment is worth 2 points and will be graded according to the following grading criteria.
Criteria | |
1. | Student has submitted a simple hypothesis which could be tested. |
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2. | Student has submitted an example exemplifying how naturalistic observation could be used to research the hypothesis. |
3. | Student has submitted an example exemplifying how a case study could be used to reserach the hypothesis. |
4. | Student has submitted an example exemplifying how a survey could be used to test the hypothesis. |
5. | Student has submitted an example exemplifying how correlational research could be used to test the hypothesis. The correlational research describes two variables and the type of relationship the student projects would exist between the two variables (i.e., positive or negative correlation). |
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