Note: Do not complete this assessment until you have received faculty feedback on Assessment 1.
Define your data collection strategy, which includes developing survey questions. To allow you to focus your time and effort on the actual survey tool and analysis, this course uses a software program to provide the data. Using technology to generate survey data causes hypothetical restrictions in your survey design. As a result, the number and type of questions you write for your survey must follow the Data Collection Template (linked in the Resources under the Required Resources heading) for this assessment.
Note: After you submit your survey questions, your instructor will provide feedback on them. When you receive feedback, you can proceed with data collection using the Survey Data Generator in Assessment 3.
Develop six questions for your survey. Keep in mind that you will not be conducting the survey by mailing or e-mailing questionnaires. Your survey responses will be determined by an electronic survey generator, which accepts only certain types of questions; therefore, the types of questions you can ask for this assessment are very specific and must adhere to the guidelines listed below. In the future, as you design surveys to solve problems or answer key questions in your professional life, you will likely draw from a broader range of question types.
The minimum is the lowest number that you think a participant can or will respond with. The maximum value is the largest value that you think a participant can or will respond with. To determine these values, make an educated estimate based on your population and the research you have conducted on the issue. For example, if we are surveying Capella students, we might ask “What is your age?” In this situation, a minimum age might be 16, and a maximum age might be 85. Note that it is possible to be outside these ranges. The minimum and the maximum are approximations, or likely ranges, of what you expect.
The typical responses will help the program that generates your hypothetical data produce more realistic participant responses based on your knowledge of the issue you are studying. The typical response will fall between the minimum and the maximum. It is the value you think will be the most common response from a survey participant. Base the typical response on your knowledge of what you are surveying and the research you have conducted on the issue.
CRITERIA | NON-PERFORMANCE | BASIC | PROFICIENT | DISTINGUISHED |
---|---|---|---|---|
Explain why a specified sampling strategy for a survey is appropriate. |
Does not describe a sampling strategy. | Describes a sampling strategy. | Explains why a specified sampling strategy for a survey is appropriate. | Explains why a specified sampling strategy for a survey is appropriate and provides examples of what could occur if the strategy is not used correctly. |
Develop survey questions for a study. |
Does not develop survey questions. | Develops survey questions, but not all are clearly related to the goals of the study. | Develops survey questions for a study. | Develops survey questions for a study and provides an analysis of why these are the best questions to use. |
Estimate potential response values for survey questions. |
Does not estimate response values for survey questions. | Estimates response values for survey questions, but the estimated values are not those that one would potentially receive given the nature of the questions. | Estimates potential response values for survey questions. | Estimates potential response values for survey questions and justifies the estimates. |
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