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Analyzing Inequity Rejections: A Comparative Study Between India and Peru

This study investigates the rejection of advantageous and disadvantageous inequity among children in India and Peru, using data analysis to compare findings with prior research conducted in the United States. By examining how age affects the likelihood of rejecting inequitable offers, we aim to uncover cultural differences and similarities in perceptions of fairness. Using SPSS, we will conduct independent t-tests to analyze the rejection behaviors across age groups and cultures, contributing to the understanding of inequity acceptance in these contexts.

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Analyzing Inequity Rejections: A Comparative Study Between India and Peru

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  1. Lab 4: Data Analysis Comparing rejections of inequity In India and Peru

  2. Refresher: Conditions: Apparatus: • “DI”: Disadvantageous Inequity • The decider gets 1 Skittle, the other child gets 4 • “AI”: Advantageous Inequity • The decider gets 4 Skittles, the other child gets 1 The decider can choose to pull the green handle and accept the offer, or pull the red handle and reject it

  3. Refresher: • Blake and McAuliffe (2011) studied American children, aged 4-8 • Findings: • as age increased, so did rejections of DI • Less likely to accept a bad offer as they got older • Only 8-yr-olds were much more likely to reject AI • Suddenly at age 8, they would not accept unequal offers, even in their favor

  4. Blake & McAuliffe’s findings

  5. Blake & McAuliffe’s findings:

  6. Our Aim: • Analyze similar data from Peru and India, and compare the results with the U.S. sample • With SPSS, we will investigate: • If increased age relates to more rejections of DI in both of these countries • If the same shift exists at age 8, for rejecting AI, in both countries • If these countries differ in number of DI and AI rejections

  7. Data Analysis • We will conduct 6 independent t-tests today: • These will tell us if two groups are significantly different from one another • This way we can compare ages, and we can compare cultures, in terms of number of rejections • We have two age groups (6-7 vs. 8-9) • We have two cultures (India vs. Peru)

  8. First t-test:

  9. Second t-test:

  10. Third t-test:

  11. Fourth t-test:

  12. Fifth t-test:

  13. Sixth t-test:

  14. Using SPSS: • Right-click and save the Data File to the Desktop • Do not try to open from here • Dbl-click WebFX Applications on Desktop • Look for SPSS folder • Dbl-click SPSS icon • “Open an Existing Data Source” • “Look in”: Desktop • Select the Data file

  15. Doing a t-test in SPSS • At the top, click “Analyze” • “Compare Means” • “Independent Samples t-test”

  16. Doing a t-test in SPSS Select your “Test Variable” from the list, and click the top arrow Select your “Grouping Variable” from the list, and click the bottom arrow *Handout tells you which to select

  17. Doing a t-test in SPSS Click “Define Groups” Enter in the values, as directed on handout

  18. What to Note in SPSS output

  19. Today: Complete the handout, reporting your Results from the 6 t-tests Submit before leaving

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