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Based on this research design, what specific visual representations and statistical checks or calculations should the researchers include in their planned analysis to properly interpret these expected correlations?
Case context: A research team is planning a study to investigate the relationship between the amount of sleep undergraduate students get per night and their scores on a subsequent memory test. They expect that more sleep will be associated with higher memory scores.
Question: Based on this research design, what specific visual representations and statistical checks or calculations should the researchers include in their planned analysis to properly interpret these expected correlations?
Sample answer: Because the researchers are examining an expected correlation between sleep and memory scores, they should plan to generate a scatterplot or a line graph to visualize the data. Additionally, they must check the data for nonlinearity and restriction of range, and calculate Pearson's to determine the strength and direction of the relationship.
Key points:
- Identify the design as correlational.
- Recommend generating a scatterplot or line graph.
- Explain the need to check for nonlinearity and restriction of range.
- State that Pearson's should be calculated.
Rubric: The response must identify the correct planned analyses for a correlational design based on the provided scenario.
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Research Methods in Psychology - 4th American Edition @ KPU
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