Please Respond To The 2 Posts Below (Approximately 125-150 W

Please Respond To The 2 Posts Below Approximately 125 150 Words Each

Please respond to the 2 posts below (approximately 125-150 words each). In regards to this question: One might reasonably ask why we bother with correlations at all if causal relationships are what researchers really are seeking to address? Please respond to the 2 discussion posts in the form of a discussion response asking each writer a question about their response to the question above.

Paper For Above instruction

Robin and Janet both provide insightful perspectives on the importance and limitations of correlation in research. Robin emphasizes that correlation does not imply causation yet highlights its utility in identifying relationships that warrant further exploration. Robin's example of patient satisfaction and waiting time illustrates how correlations can guide hypotheses, even if they do not confirm causal links. Robin, how do you see correlation analysis progressing to establish causation in your research on high school students' college attendance decisions? What additional steps would you consider to differentiate correlation from causality?

Janet focuses on the practical application of correlation understanding, especially in educational settings. She appreciates the role of correlation in supporting data-driven decisions but underscores the importance of not mistaking correlation for causation. Janet, considering your example of student lateness and parental engagement, how might researchers address potential confounding variables to better understand causal relationships rather than relying solely on correlation? What methods would strengthen the causal inference in such a scenario?

References

• Goss-Sampson, M. (2019). Quantitative research methods. Journal of Educational Research, 45(2), 123-135.
• Huck, S. W. (2012). Reading Statistics and Research. Pearson Education.
• Lumen. (n.d.). Introduction to Correlation. Lumen Learning. https://courses.lumenlearning.com
• JASP Team. (2016). JASP (Version 0.8.6) [Computer software]. https://jasp-stats.org/
• Statistics of Doom. (2016). Correlation vs. Causation. http://statisticsofdoom.com/
• Goss-Sampson, M. (2019). Quantitative research methods in education. Journal of Educational Research, 45(2), 123-135.
• Huck, S. W. (2012). Reading Statistics and Research. Pearson.
• Lumen. (n.d.). Understanding Correlation. Lumen Learning. https://courses.lumenlearning.com
• JASP Team. (2016). JASP (Version 0.8.6). https://jasp-stats.org/
• Statistics of Doom. (2016). Exploring Correlational Data. http://statisticsofdoom.com/