SPSS Assignment #3

What you will need:

  • sav
  • sav
  • Answer-Sheet document, saved as Last_First_SPSS3
    • Top-left corner: your name, uta email address, [due date], SPSS #3
  • The PSYC 2300 manual helps a lot…
    • … Otherwise, be prepared to Google “how to ____ in SPSS” several times.

 

HELPFUL TIPS:

  • BE VERY CAREFUL TO PRECISELY FOLLOW THE APA-FORMATTING DEMONSTRATED IN THE PPT SLIDES AND THE 2300 SPSS MANUAL! Points will be deducted for seemingly minor issues such as correct usage of italics, sp a cing, and what specific details are reported for each analysis. Some examples: p should always be written in lowercase italics… put one space on each side of an + or < sign: p = .002 instead of p=.002….
  • If you don’t understand what the words you’re typing mean, you are probably typing something that doesn’t make sense, and points will be deducted. Read what you wrote. Make sure it makes sense. Get feedback during class or during stat-tutor club.
  • For this entire assignment, regardless of the research hypothesis, report the two-sided/two-tailed p – the one they give you by default… The two-tailed p is more conservative – less prone to type-1 error – so nobody will ever complain if you report a two-tailed p for a one-tailed test, even if a one-tailed test is technically correct, given the research hypothesis.

 

 

 

 

  1. In the dataset sav, go to Variable View… expand the Labels column as wide as it will go. This column shows you exactly what participants were asked in this survey.

    Based on reading the variable labels in variable view…

… What do you think was the purpose of this survey?

… Is there a certain difference you think Dr. Adams was hoping to find between selfesteem_t1 (the first question) and selfesteem_t2 (the last question)?

In as few words as possible, in your Answer-Sheet Document, explain your answers to these two questions.

  1. To test whether there was a difference between selfesteem_t1 and selfesteem_t2, run a repeated measures t-test (see manual pp. 36-38 + repeated-measures lecture slides).
    1. Screenshot/Paste the output into your Answer-Sheet Document
    2. summarize the result in APA format.
    3. Forget about APA format etc… Based on the result of this test, what would you conclude about the effect of [_? 🤔 ?_]  on self-esteem? In plain language – like you’d explain it to Grandma – what general conclusion would you draw from this study? Use as few words as possible to make your point. It’s possible to earn full points on 2c with a single sentence!

 

 

  1. Adams wonders if the overall boost to participants’ self-esteem in this survey was dependent on whether they committed to calling a loved one immediately after class on Monday. To explore this possibility, “split the file” by willyoucall (manual p. 19). NOTE: When you turn on “split the file by willyoucall,” nothing will happen immediately. Now that the file is split, however, you will receive two separate chunks of output for any analyses you run: one chunk of output for participants who responded “okay, yes, I will call…” and another chunk for those who responded “nah…”
    1. With split-file by willyoucall turned on, run the same exact analysis as in #2. Paste the two different chunks of output into your document, and explain the results in APA format.
      HINT: Your write-up should take this form:
      Among participants who did not commit to calling a loved one after class, __[t-test results in APA format]
      By contrast, among participants who committed to calling a loved one after class, __[t-test results in APA format]__      .”
    2. Explain 3a in plain language, like you’d explain it to Grandma. How would you explain the effect of committing to actually call a loved one on self-esteem?

CLOSE SPSS3_self-esteem.sav

 

OPEN UAlabama_dataset_2017.sav

 

 

  1. Run a bivariate correlation analysis on the variables happiness_1 and HoursTV_1
    (see manual p. 71 + Correlation lecture slides). ***

    ***HINT: Within the correlation dialog box, if you right-click on the list of variables on the left, you can choose Display Variable Names and Sort Alphabetically – this makes it much easier to find specific variables (e.g., happiness_1).

    Paste the output into your AS Document and report your results in APA format.

  2. Choose two other variables for which you would hypothesize a significant correlation. Run a bivariate correlation analysis, screenshot/paste the output, and report the results in APA format. NOTE: for a correlation analysis, you should NOT use categorical variables; use variables with a range of numerical values.
  3. Choose five other variables that you think might be correlated with each other. Add them all to a bivariate correlation analysis (only these new 5; not the prior two). Paste the correlation matrix into your document and report the results of three of these correlations in APA format. For any significant correlations, also provide a simple, one-sentence explanation of the relationship: In other words Variable1 increases/decreases, Variable 2 tends to increase/decrease.

 

 

Save your datasets. Save your AS Document. Save your AS Document as a PDF. Email all of the files to yourself. Submit your PDF – Lastname_Firstname_SPSS3.pdf – on Canvas.