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Question

Note: If you would like to use R software that become better for me ,, thank you very much Nature-Nurture. A-1989 study investigated the effect of heredity and environment on intel- ence. From adoption registers in France, researchers selected samples of adopted children whose biological parent econo s and adoptive parents came from either the very highest or the very lowest socio- mic status (SES) categories (based on years of education and occupation). They attempted to obtain samples of size 10 from each combination: (1) high adoptive SES and high biological SES. (2) high adoptive SES and low biological SES, (3) low adoptive SES and high biological SES, and (4) low SES for both parents. It turned out, however, only eight children belonged to combination three. The 38 selected children were given intelligence quotient (1Q) tests. The scores are reported in Display 13.24. (Data from C. Capron and M. Duyme, "Children's IQs and SES of Biological and Adoptive Parents in a Balanced Cross-fostering Study." European Bulletin of Cognitive Psychology 11(3) (1991): 323-48:) Does the difference in mean scores for those with high and low SES biolog- ical parents depend on whether the adoptive parents were high or low SES? If not, how much is the 2 mean IQ score affected by the SES of adoptive parents, and how much is it affected by the SES of the biological parents? Is one of these effects larger than the other? Analyze the data and write a repor of the findings

Explanation / Answer

y=c(136,99,121,133,125,131,103,115,116,117,94,103,99,125,111,93,101,94,125,91,98,99,91,124,100,116,113,119,92,91,98,83,99,68,76,115,86,116)
X=matrix(c(rep(1,20),rep(0,18),rep(1,10),rep(0,10),rep(1,8),rep(0,10)),ncol=2)
D=data.frame(y,X)
attach(D)
chisq.test(X1,X2) #test for independence
summary(lm(y~X1)) #to get the effect of adoptive parents
summary(lm(y~X2)) #to get the effect of biological parents
summary(lm(y~X1+X2)) #total effect of adoptive parents and biological parents

For ans 2 and 3 check the R sqr values after running the above codes in R.

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