dolution
dolution.
Open the EFS data-set
a. Create a new variable from tenure type (a121) with two categories, rented (a121 from 1 to 4) and owned (a121 from 5 to 7) – HINT: use the TRANSFORM / RECODE INTO DIFFERENT VARIABLES menu
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Order Paper Nowb. Using log-linear analysis, explore the interactions among the above variables, Government office region (gor) and the number of children considering the first three categories only (childband variable from 1 to 3)
c. Using hierarchical log-linear analysis, compute effects in the saturated model then estimate a simplified model
d. Check the partial association table – are there lower-order terms that could be discarded?
e. Re-estimate the simplified model with the general log-linear model and find the most parsimonious model which is still acceptable according to the chisquare statistic (HINT: first exclude cases where childband=4 using the DATA / SELECT menu)
f. Compare results using alternatively the Poisson and Multinomial distribution assumption. Do estimated effects differ?
g. What are the odds of having a rented rather than owned house in government region 2?
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