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Based on the guidelines for reporting correlational research, justify whether or not a line graph would be an appropriate choice to display this statistical relationship. Explain your reasoning using the specific characteristics of the variables.
Case context: A researcher is conducting a correlational study to examine the statistical relationship between daily screen time and sleep quality. The researcher decides to organize the participants' daily screen time into four distinct groups (quartiles: 1st, 2nd, 3rd, and 4th) and calculates the mean sleep quality score for each group.
Question: Based on the guidelines for reporting correlational research, justify whether or not a line graph would be an appropriate choice to display this statistical relationship. Explain your reasoning using the specific characteristics of the variables.
Sample answer: Yes, a line graph would be an appropriate choice. Line graphs effectively display statistical relationships when the variable on the -axis is organized into a small number of distinct values. Because the researcher organized the continuous variable (screen time) into four distinct quartiles, a line graph can effectively display how the mean of the other continuous variable (sleep quality) changes across those quartiles.
Key points:
- Diagnoses that a line graph is an appropriate visual display.
- Identifies that the continuous variable was organized into four quartiles.
- Explains that four quartiles represent a small number of distinct values suitable for the -axis.
- Notes that the graph will effectively display the change in the mean of the sleep quality variable.
Rubric: The learner must diagnose that a line graph is appropriate and justify the decision by explaining that the screen time variable was organized into a small number of distinct values (quartiles) to be plotted on the -axis.
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Research Methods in Psychology - 4th American Edition @ KPU
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