2
$\begingroup$

There are 2 groups of 100 pregnant women: the first are malnourished and the second are well-nourished. A COHORT research is being done on them to determine if malnutrition is a risk factor for low birth weight.

Out of 100 malnourished women there are 80 LBW infants, in contrast with only 10 LBW within the 100 well-nourished group.

I used the alpha = 0.05 and make this research ONE-TAILED. I assume that they have normal distribution curve.

H0: there are no significant relationship between ... H1: there is a signif ...

P1 = 0.1 P2 = 0.8

P' = (80 + 10)/(100+100) P' = 0.45 , Q' = 0.55

SE = SQRT[ (0.45*0.55) (n1 + n2) / (n1*n2) ] SE = SQRT(99/20k) SE = -0.07036

Z = (P1-P2)/SE Z = -0.7/0.07036 Z = -9.9488

Calculated probability (by chance) from the Z table is 0.

Failed to reject H1: THERE IS A STRONG CORRELATION BETWEEN MALNOURISHED PREGNANCY AND LBW.

====================

I have inputted the data into the SPSS using the values for each variable; NUTSTATS: 1 = normal, 2 = malnourished LBW: 1 = no, 2 = yes

How do I produce the same results? What test do I need?

I'm not sure about whether this should be continued with a Chi-squared test, because I'm new to this and this is a nominal-nominal data type.

Thank you for any responses.

$\endgroup$
1
$\begingroup$

You can do a $\chi^2$ test, as it is equivalent to the two proportion test in a 2 by 2 contingency table. Here is a quick example in SPSS.

DATA LIST FREE / Mal LBW Weight.
BEGIN DATA
1 0 10
1 1 90
2 0 80
2 1 20
END DATA.
FORMATS Mal LBW (F1.0).
VALUE LABELS Mal 1 'Well-nourished' 2 'Malnourished'
            /LBW 0 'Low Birth Weight' 1 'Normal Weight'.
WEIGHT BY Weight.
DATASET NAME Nourishment.

*Chi-square test.
CROSSTABS Mal BY LBW /STATISTICS=CHISQ.
$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.