Assignment for Correlations in jamovi

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George Mason University *

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MISC

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Computer Science

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Apr 3, 2024

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Correla’ons in jamovi Purpose The purpose of this assignment is to prac2ce conduc2ng and interpre2ng Pearson Correla2ons in jamovi. The following video can be used if you need to review how to conduc2on correla2ons in jamovi: Correla2on matrix (7 minutes 31 seconds) Set Up Jamovi 1. Open Jamovi 2. In this course, you should report your results to 2 decimal places and include the R syntax. To do this, a. Click the three dots on the top right of the Jamovi screen to change your preferences. b. Look at the sec2on for Results. c. For Number format, use the drop-down menu to change decimal places to 2 dp. d. Check the box next to Syntax Mode. Data Set 1. Open the dataset Original Ques’onnaire Data.omv ; this can be found in the Blackboard shell. Assignment: Q1. Descrip’ve sta’s’cs for Age Looking at the descrip2ve sta2s2cs is always a good star2ng point when analyzing your data. Begin your assignment by calcula2ng the mean, standard devia2on, minimum, and maximum age of the par2cipants. Keep the N and Missing boxes checked as well. Including the minimum and maximum is useful for checking for errors in data entry (e.g, if the maximum age is 222, you know there’s an error in your data!) Copy your Descrip2ves table for Age below:

Q2. Number of males and females: Create a new analysis. Create a frequency table for the number of males and the number of females. Copy this table below: Q3. Correla’on for sleep and cigareEe: 1. Calculate a Pearson correla2on for the variables sleep (“How many hours of sleep did you get last night?”) and cigareEe . To do this, click the Regression tab and then choose Correla2on Matrix. Move the variables sleep and cigare^e over to the empty box. 2. Under Addi2onal Op2ons, check the boxes for Report significance, Flag significant correla2ons, and N, and ask for a 95% Confidence interval. 3. Under Plot, check the boxes for Correla2on Matrix, Densi2es for variables, and Sta2s2cs. 4. Compare your results to mine. I found: The Pearson correla2on between cigare^e smoking and sleep was -.10 based upon 188 university students. I obtained a p-value of .19. The lower limit of the 95% confidence interval was -.24, and the upper limit was .05. A nega2ve correla2on means that as sleep increased, cigare^e use tended to decrease. However, how can we tell from the sta2s2cs if there is evidence of a significant rela2onship between these two variables? There are two ways that we can determine this: 1. We can use the p-value: if the p value is less than .05, then we conclude that there is a significant correla2on between the two variables. In this example, the p value is .19. Because the p value is greater than .05, we conclude that there is not a significant rela2onship. 2. We can use the confidence interval: if the range of the confidence interval includes zero, then we conclude that there is not evidence of a significant rela2onship. If the range of the confidence interval does not include zero, then we conclude that there is a significant rela2onship. In this example, the confidence interval tells us that we are 95% confident that the actual correla2on between these two variables is between -.24 and .05 for this popula2on. Because this range includes zero, we do not have evidence that there is a real rela2onship between these two variables.

In Psychology, we would summarize all these results in a single sentence. This sentence uses the following format: Among university students, cigareEe smoking is not related to hours of sleep, r(186) = - .10, p = .19, 95% confidence interval [-.10, .05]. The format for the sta2s2cal results can be described as: r (n-2) = _0.05__, p = _-0.24__, 95% confidence interval [lower limit, upper limit]. Copy the Correla2on Matrix table for sleep and cigareEe and paste it below: Q4. Correla’on for accidents and sleep: 1. Calculate a Pearson correla2on for the two variables named in Q4. 2. Under Addi2onal Op2ons, check the boxes for Report significance, Flag significant correla2ons, N, and ask for a 95% Confidence interval. 3. Under Plot, check the boxes for Correla2on Matrix, Densi2es for variables, and Sta2s2cs. 4. Copy both the Correla2on Matrix table below:

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5. Finally, summarize your results using the format provided above for cigare^e and sleep: Nega2ve correla2on so the more sleep, the less accidents that are bound to happen so r (n-2) = _-.08__, p = _-0.27__, 95% Q5. Correla’on for cigareEe and alcohol: 1. Calculate a Pearson correla2on for the two variables named in Q5. 2. Under Addi2onal Op2ons, check the boxes for Report significance, Flag significant correla2ons, N, and ask for a 95% Confidence interval. 3. Under Plot, check the boxes for Correla2on Matrix, Densi2es for variables, and Sta2s2cs. 4. Copy both the Correla2on Matrix table and the Correla2on Plot graph below: 5. Finally, summarize your results in a single sentence, using the format given above for cigare^e smoking and sleep. Posi2ve correla2on so the more cigare^e usage, the more likely the consump2on of alcohol r (n-2) = _0.51__, p = _0.24__, 95%

Q6. Correla’on for cats and dogs: 1. Calculate a Pearson correla2on for the two variables named in Q6. 2. Under Addi2onal Op2ons, check the boxes for Report significance, Flag significant correla2ons, N, and ask for a 95% Confidence interval. 3. Under Plot, check the boxes for Correla2on Matrix, Densi2es for variables, and Sta2s2cs. 4. Copy both the Correla2on Matrix table and the Correla2on Plot graph below: 5. Finally, summarize your results in a single sentence, using the format given above for cigare^e smoking and sleep. r (n-2) = _0.61__, p = _0.36__, 95% It is posi2vely correlated Save and Submit 1. Now that you have answered all the ques2ons, save this file and submit to the Blackboard assignment page. 2. Save your jamovi file again, so that you have everything you did. This file may be helpful in the future.

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