You must upload both the worksheet and your "clean" output file (.spv), which provides evidence of your work via the results of your analyses and your graphs as produced by SPSS. Make sure the output is clean by ordering its results to match the order in which you addressed each question of the worksheet and deleting the results of any incorrect attempts. It also allows me to provide partial credit when your answers in the worksheet are incorrect but your "work" shows you were doing the (approximately) correct thing :)
I will not grade a SPSS Lab assignment that does not have an output file.
SPSS Lab Assignment 3: ANOVA, Correlation, & Regression Name(s): Giovanni Santiago When you have completed this worksheet, upload your completed copy AND your SPSS output file to Canvas: · Psych200_Lab3_output_NameInitial.spv (MANDATORY your “clean” output”) · Psych200_Lab3_answer_NameInitial.doc As previous labs, your test results (and graphs) should be presented in the same order that they were run. Only leave the tests that you used: delete all incorrect attempts. I should be able to follow your work along with this worksheet and know exactly what question each test was trying to answer. Open the data set called “Lab 3 Dataset: OkStupid”. This is a study sponsored by OkStupid.com, an online dating service for today’s busy lifestyle. Forty (40) bachelors enrolled on the website participated in the study. Participants were classified into four different groups based on their profile picture: A) with their pets B) doing an activity C) Selfie D) in a bar. A panel of potential matches rated them on a scale between 1-10 in terms of various personal characteristics (e.g., attractiveness, confidence, etc.) The bachelors also provided their income, converted into an hourly wage. Finally, OkStupid provided the average number of “right swipes” their online profiles received each day. 1. Did participants’ attractiveness vary based on profile picture type? a. What test should you run? Why this test (and not another)? Type of test, Because of reasons b. Report your test result(s) by filling in the blanks in the following template. (This is stuff you’d normally put after the “BLAH” you will provide in part c) F(df, df) = RESULT, exact p-value. Decisions: Reject / Retain the null hypothesis c. What can you conclude from this result? (Just the BLAH: statement about what the results mean regarding your variables) d. Use a post hoc test (Tukey’s) to compare all possible types of picture(Group). Which groups differ from each other? For each significant difference, report the result using the template below. (SPSS Guide #5 contains the most detailed instructions on how to do this, but the procedure is almost identical for other ANOVAs.) Group X (M = Mean attractiveness for Group X) had a significantly higher/lower attractiveness than Group Y (M = Mean attractiveness of Group Y), p-value. 2. OkStupid wants to know which factors are related to the number of right swipes each bachelor’s profiles received. Use the following template to report your results: “There was a significant / There was no relationship between VariableX and VariableY, BLAH (statement about what this result means that clearly describes the variables involved and how they relate to each other), r(degrees of freedom) = RESULT, exact p-value.” a. Is Attractiveness correlated with the number of Right Swipes? b. Is Rudeness correlated with the number of Right Swipes? c. Is Swagger correlated with the number of Right Swipes? 3. Is Confidence more strongly related to Income, or to Attractiveness? Report the statistics that you compared in order to draw your conclusion. Confidence is more strongly related to VARIABLE, because of statistics 4. Your client wants to know whether a bachelor’s fitness predicts how many right swipes they will get. Your results will help them decide whether there is any point in writing an online profile (“Likes long walks on the beach…”) vs. just posting a picture of their six pack. a. Does fitness predict right swipes? VariableX does not predict/significantly predicts VariableY, F(degrees of freedom) = RESULT, exact p-value. b. Report the r and r2 value and what it means for your predictions. There was a correlation of r = RESULT (r2 = RESULT) between VariableX and VariableY, indicating that [what the r2 means]. c. What is the equation for this model? [equation with appropriate values for your coefficients a and b goes here] 5. Produce a graph of the relationship from question 3 a) (fitness and right swipes), including a regression line (produced by SPSS). Be sure to place the appropriate variable on the X (predictor) and Y (predicted / criterion). [Graph goes here] 6. According to another regression* (that you will also have to perform in SPSS), someone who earns $48/hour would be expected receive about _________ right swipes. (No need to report the equation, just the prediction.) 7. Produce a graph representing the correlation between Income and Right Swipes and paste it below. Be sure to select meaningful (for your sponsor, anyway) variables for the X and Y axes. Show the regression line (fit line) on this graph. [Graph goes here] * When something is in bold characters AND underlined, you know that it has proven itself problematic for students over multiple semesters. Break that trend. Don’t fall for the trap of recycling your previous regression!