Lab_2_worksheet_S24_Descriptives_1_

Name: _ Tasnia Ahmed _______ Lab #2: Summarizing & Displaying Data PSYCH248 Hunter College PLEASE TYPE ALL ANSWERS IN BLUE . Part A: For this activity you will explore, summarize and display data in JASP using an existing dataset. In JASP, open the excel data file called Disorders.csv . Click on the word Therapy in the column header. A menu appears that allows you to add labels to each of the values for this variable; applying these labels will make your output easier to understand. Add labels for both Therapy (1=Yes, 0=No) and Gender (0=Woman, 1=Man, 2=Non-binary) variables. 1. Was this data entered in the by column or by row format? ___ By Row _____________ 2. How many variables are there in the data set (including ID #)? ____ 6 __________ 3. How many participants are there? _____ 125 _________ 4. Describe the scale of measurement used for each of the variables listed below: a) Disorder: ___ Nominal __________ b) Number of Hospital Visits: ____ Ratio _________ c) Therapy: __ Nominal ___________ d) Severity: _ Ordinal ____________ e) Gender: ____ Nominal _________ Create frequency tables and graphs for the Disorder , Number of Hospital Visits , Therapy , Severity , and Gender variables. Click Descriptives on the top ribbon in JASP and transfer all five variables to the Variables box (ID# is not really a variable – it is just used to identify cases). Frequency Tables: Click on Tables to open a drop-down menu, and check off the Frequency tables box. These tables will display value labels, frequencies, percents, valid percents, and cumulative percents. 5. How many participants had OCD in this dataset? _____ 25 ________ 6. Compare the percentages for those who had therapy and those who did not. Are they similar? _ The percentages for those who had therapy and didn’t are extremely similar as they both are 50% when rounded. _____________________________________________________________ 7. What percentage of participants rated their disorder severity less than five? __ 36.8% ___________ Bar Graphs & Histograms: Click on Basic plots to open a drop-down menu and check off Distribution plots . These bar graphs display frequency distribution data for each variable separately. 8. What was the most frequently endorsed disorder severity rating? _____ 6 ________ 9. Which gender was represented most in this dataset? ___ Women __________ Click Descriptives on the top ribbon again to open a new window (and keep your previous analyses). Transfer Gender to the Variables box and Therapy to the Split box. Check off Distribution plots again. 10. Which gender had the most people who did not attend therapy? __ Male __________ 11. Which gender had the least people who attended therapy? __ Nonbinary ___________ Open a new Descriptives window. Create a Distribution plot for the Number of Hospital Visits variable. Add a density curve graph by checking off the Display density box under Basic plots . Copy and paste the graph below. Copy and paste (below) the plot by clicking on the down arrow above the graph and paste into lab. To resize the graph: right click on it-go to “Size and Position” and type in 2.5 for the absolute height. Make sure that the “Lock aspect ratio” box is checked in order not distort the graph.

12. Does the Number of Hospital Visits variable appear to be normally distributed? ____ No ________ Click on Statistics to open another drop-down menu. Check off Skewness and Kurtosis. 13. What is the skewness value? ___ 1.486 __________ 14. What is the kurtosis value? _____ 2.226 ________ 15. What do these two values tell us about the distribution of our data for this variable? _ The skewness value tells us that the distribution is positively skewed, while the kurtosis value tells us that the distribution is leptokurtic. ______________________________________________________ Box Plots: Open a new Descriptives window (click Descriptives again from the top menu bar). Transfer the Number of Hospital Visits to the Variables box and Therapy to the Split box. Under Customizable plots , check off Boxplots , Boxplot element , and Label outliers . Paste the boxplot below – it should show # hospital visits for two therapy groups.