Test for the Relationship

Determine the appropriate test for each relationship, and then proceed with your analyses.

Part A

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Using a sample of 575 adults in River Forest, IL, assess the relationship between the years of school completed (variable name = “educ”) and the years of school completed by the mother (variable name = “maeduc”).

  1. A clear and concise research question: (e.g., “Is there a relationship between X and Y?”).
  2. A clear and concise null hypothesis that aligns to the research question:  (e.g., “There is no relationship between X and Y.”).
  3. A clear research hypothesis that aligns to the research question:  (e.g., “There is a relationship between X and Y.”).
  4. Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, % for each group, etc.) in a paragraph form. (Don’t just include a number of SPSS tables and not talk about it.)
  5. State the rationale for applying either Pearson or Spearman correlation in this investigation using appropriate readings and resources in Module 4. (Please cite specific references.)
  6. Findings in an APA format.  (Please include a clear, concise interpretation of your findings in a non-statical jargon at the end of your analysis.
  7. Please include the SPSS output (e.g., tables and such) used in your analyses, both descriptive and inferential.

Part B

Using a sample of 575 adults in River Forest, IL, assess the relationship between the highest degree earned (variable name = “degree”) and the stress level associated with work (variable name = “stress”).

  1. A clear and concise research question: (e.g., “Is there a relationship between X and Y?”).
  2. A clear and concise null hypothesis that aligns to the research question:  (e.g., “There is no relationship between X and Y.”).
  3. A clear research hypothesis that aligns to the research question:  (e.g., “There is a relationship between X and Y.”).
  4. Basic descriptive analysis of the variables used (e.g., mean, median, SD, range, % for each group, etc.) in a paragraph form. (Don’t just include a number of SPSS tables and not talk about it.
  5. State the rationale for applying either Pearson or Spearman correlation in this investigation using appropriate readings and resources in Module 4. (Please cite specific references.)
  6. Findings in an APA format. (Please include a clear, concise interpretation of your findings in a non-statical jargon at the end of your analysis.)
  7. Please include the SPSS output (e.g., tables and such) used in your analyses, both descriptive and inferential.

Here is an example of a correlational finding in an APA format:

“A Pearson’s correlation was run to test a possible relationship between happiness (M = 26.39. SD = 1.63) and sleep (M = 8.14, SD = 1.07).  Pearson’s correlation results indicate there is a significant, strong, positive relationship between happiness and sleep r(98) = .821, p = .034. This indicates that those with more hours of sleep reported higher levels of happiness.”

*** (Be mindful that this result is for two interval variables. Use appropriate descriptive statistic for ordinal variables.

To double check that you have included all the necessary components, use this checklist for yourself before posting:

  1. State the research question and hypotheses.
  2. Provide appropriate statistics for each variable (e.g., mean, median, SD, etc.)
  3. State the rationale for applying either Pearson or Spearman correlation for each investigation.
  4. Report the r or rho value, and interpret its strength and direction.
  5. Report the p-value, interpreting whether it is statistically significant.  (Please read this link to help you better understand, report, and interpret p-values:  https://www.editage.com/insights/the-correct-way-to-report-p-values
  6. State whether you reject or fail to reject the null hypothesis (and why).
  7. Interpret the practical meaning by reporting and interpreting the r or rho value. (See example above.)
  8. Include the correlation table from your SPSS output (cut and paste onto Word document).

 

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