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How to run Pearson's Chi-square for SPSS

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How to run Pearson's Chi-square for SPSS

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How to run Pearson's Chi-square for SPSS

  1. 1. Running Pearson Chi- Square on SPSS http://www.palmx.org/drtamil/spss/ sga-ttest-youtube.sav
  2. 2. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Y/N) (Birth weight) Mother’s Nutrition (BMI/Obesity) •Weight •Height Smoking Hypertension
  3. 3. ©drtamil@gmail.com 2016 Dependent Outcome  Birth weight of the babies  Small for gestational age i.e. less than 2.7kg for term babies – Y/N By Yehudamalul - Own work, CC BY-SA 3.0,
  4. 4. ©drtamil@gmail.com 2016 Suitable statistical test  Conduct the appropriate statistical test to test whether there is any association between “Classification of Weight” (OBESCLAS) and SGA (OUTCOME).
  5. 5. ©drtamil@gmail.com 2016 Factors Affecting SGA SGA (Y/N) (Birth weight) Mother’s Nutrition (BMI/Obesity) •Weight •Height Smoking (Y/N) Hypertension (Y/N)
  6. 6. ©drtamil@gmail.com 2016 OBESCLAS Versus SGA  Weight is classified into ◦ Underweight ◦ Normal weight ◦ Overweight Therefore it is categorical data.  Outcome is categorized into Yes (SGA babies) and No (Normal babies) Therefore it is categorical data.  With n=200, most suitable test is Pearson Chi Square.
  7. 7. ©drtamil@gmail.com 2016 Cross-tabulation Table
  8. 8. ©drtamil@gmail.com 2016 Cross-tabulation Table
  9. 9. ©drtamil@gmail.com 2016 Pearson Chi-Square
  10. 10. ©drtamil@gmail.com 2016 Pearson Chi-Square
  11. 11. ©drtamil@gmail.com 2016 Conclusion  A clear decrease rate of SGA as the weight of the mother increases.  The difference is statistically significant since p value smaller than 0.05.  Therefore there is a significant increase rate of SGA as the mothers’ weight classification decreases from overweight to underweight.
  12. 12. ©drtamil@gmail.com 2016 Exercise  Repeat the same statistical test between; ◦ Smoking and Outcome ◦ Hypertension and Outcome

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