Ms. Kim Mooney in 1989 as part of completing her dissertation at UNH. The dataset was collected to assist in exploring the relationship between the “effect of social stress on blood pressure.” This was investigated by collecting data at six different points (i. preliminary baseline, ii. second baseline, iii. rehearsal and preparation for role play, iv. stressful role play exercise, v. first baseline follow-up, vi. second baseline follow-up). You will need to install the PASW Grad Pack 18.0 in order to download the dataset.
Ms. Mooney collected data on the Rathus Assertiveness scale and the Crowne Marlowe Social Desirability Scale, which contained subscales for “anger in” (the tendency to hold anger “in”), and “anger out” (the tendency to “express anger openly”).
Employing this data, we would like to explore the relationship between assertiveness and the tendency to express anger openly. We will examine a Pearson’s r to help us examine this relationship. Then, we will examine the relationship between assertiveness and whether one holds anger “in.” To explore this question, we will run a bivariate regression procedure.
Open the SPSS dataset complete_mooney_bp.sav into SPSS.
Choose "analyze," then "correlate," then "bivariate." Move the variables "rath" and "axout" into the “Variables” window (these are respectively the measures of assertiveness and the tendency to “express anger openly.”)
Make sure “Pearson” is checked in the Correlation Coefficient window. Choose "options," check "means and standard deviations" in the Statistics window, then check "continue," then "OK" to run the analysis.
Based on this analysis, answer the following questions:
What are the means and standard deviations of the two variables, “rath” and “axout”?
What is the Pearson r?
What is the p value (“significance level”)? What does this p value mean?
How does the n (sample size) of this sample affect the r and p values?
Now, we turn our attention to our bivariate regression question. Is there a relationship between assertiveness and whether one holds anger “in”? Please help feel like I'm lost in space.
We do not do your work for you. Once you have attempted to answer your questions, we will be happy to give you feedback on your work. Although it might require more time and effort, you will learn more if you do your own work. Isn't that why you go to school?
Also we do not have access to your dataset.
To get the answers to the questions, follow these steps:
1. Install the PASW Grad Pack 18.0 software on your computer to access and download the dataset.
2. Open the SPSS software and load the dataset "complete_mooney_bp.sav" into SPSS. This can be done by selecting "File" -> "Open" -> "Data" and then browsing for the dataset file.
3. Choose the "Analyze" menu, then select "Correlate" and click on "Bivariate." This will open the Bivariate Correlations dialog box.
4. In the Bivariate Correlations dialog box, click on the variables "rath" and "axout" from the list of available variables and move them to the "Variables" box. These variables represent assertiveness and the tendency to express anger openly, respectively.
5. Make sure that "Pearson" is selected as the correlation coefficient in the Correlation Coefficient area of the dialog box.
6. Click on the "Options" button, check the "Means and standard deviations" option under the "Statistics" section, and then click on "Continue."
7. Finally, click on "OK" to run the analysis.
Once the analysis is complete, you can find the answers to the questions:
1. The means and standard deviations of the variables "rath" (assertiveness) and "axout" (tendency to express anger openly) will be displayed in the output. Look for the respective values under the "Mean" and "Std. Deviation" columns.
2. The Pearson r correlation coefficient will be displayed in the output. Look for the value under the "Pearson Correlation" column.
3. The p-value (significance level) for the Pearson correlation will also be displayed in the output. Look for the value under the "Sig. (2-tailed)" column. The p-value indicates the statistical significance of the correlation. If the p-value is less than the chosen threshold (e.g., 0.05), it suggests that the correlation is significant.
4. The sample size (n) of the dataset does not directly affect the r (correlation coefficient) value. The correlation coefficient represents the strength and direction of the linear relationship between two variables. However, the sample size does affect the p-value. As the sample size increases, the statistical power of the analysis increases, potentially leading to smaller p-values and more precise estimates of the correlation's significance.
Regarding your bivariate regression question, since you have not provided specific variables related to whether one holds anger "in," the steps for the bivariate regression analysis cannot be provided. Please provide the necessary details, and I will be happy to assist you further.