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How to run Pearson's Chi-square for SPSS
1.
Running Pearson Chi- Square
on SPSS http://www.palmx.org/drtamil/spss/ sga-ttest-youtube.sav
2.
©drtamil@gmail.com 2016 Factors Affecting
SGA SGA (Y/N) (Birth weight) Mother’s Nutrition (BMI/Obesity) •Weight •Height Smoking Hypertension
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.
5.
©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).
6.
©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)
7.
©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.
8.
©drtamil@gmail.com 2016 Cross-tabulation Table
9.
©drtamil@gmail.com 2016 Cross-tabulation Table
10.
©drtamil@gmail.com 2016 Pearson Chi-Square
11.
©drtamil@gmail.com 2016 Pearson Chi-Square
12.
©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.
13.
©drtamil@gmail.com 2016 Exercise Repeat
the same statistical test between; ◦ Smoking and Outcome ◦ Hypertension and Outcome
Download now