Sorry I confused you. There are actually two seperate analyses: (1)
correlation between child gender and parental education; (2) ANOVA for
parenting knowledge (continuous), child gender and parental education.
You are right, in most cases, parents finish education before they
have first child. Owing to some cluture, i.e. boy preference in some
Asian countries, it is possible that a woman choose to abort because
of child gender. Therefore, the hypothesis here is that parent
education is associated with child gender.
I'll try the mixed models in Stata since the purpose is to find
association and it's not a must to use correlation or ANOVA.
Thank you! Please let me know if you have any other suggestion.
Wen
On 1/9/08, David Airey <[email protected]> wrote:
> .
>
> You mentioned two variables, parental education and child gender. And
> then you also mentioned correlation. ANOVA is for continuous dependent
> variables, and the typical output will not give you correlation
> directly. Maybe you just meant association between parental education
> and child gender. That's a strange but interesting association! Since
> child gender is randomly determined at conception (at least at the
> population level), your hypothesis is that child gender causes
> variation in parental education? Causation the other way around
> assumes the parents had somehow selected the sex of their children by
> other means. And most parents are done with there education before
> they give birth, so why do you expect an association? Do you have
> enough variation in your education variable to treat it as a
> continuous variable? Even if not, you can find a model that associates
> parental education (continuous, ordinal, nomimal) with child gender
> (nominal binary) with the cluster option in Stata. I think you could
> also find a mixed model in Stata too (xtmixed, xtmelogit, gllamm).
>
> -Dave
>
> On Jan 9, 2008, at 8:40 AM, Wen Jun wrote:
>
> > Thanks. It's another learning. :) - wj
> >
> >
> >
> > On 1/8/08, David Airey <[email protected]> wrote:
> >> .
> >>
> >> Oops. Sorry. I read your post too quickly and even inserted the fact
> >> that you might be studying twin data or genetics when you did not say
> >> that!
> >>
> >> -Dave
> >>
> >> On Jan 8, 2008, at 5:48 PM, Wen Jun wrote:
> >>
> >>> Hi All,
> >>>
> >>> I am trying to run some descriptive analyses (i.e. correlations,
> >>> ANOVA) on two children within one family and want to control for the
> >>> dependency of observations. For example, my data include 1000
> >>> families and each family has two children. I want to know the
> >>> correlation between parenatl education and child gender, but want to
> >>> control for the dependency of observation. That is, I don't want to
> >>> correlate parental education and child gender for first and second
> >>> born specifically. I am a SAS user. I have heard that this is
> >>> possible
> >>> to do in STATA, although I have no idea how to do it. Please give
> >>> some
> >>> suggestions. Thanks!
> >>>
> >>> Best,
> >>>
> >>> Wen
> >>> *
> >>> * For searches and help try:
> >>> * http://www.stata.com/support/faqs/res/findit.html
> >>> * http://www.stata.com/support/statalist/faq
> >>> * http://www.ats.ucla.edu/stat/stata/
> >>
> >> *
> >> * For searches and help try:
> >> * http://www.stata.com/support/faqs/res/findit.html
> >> * http://www.stata.com/support/statalist/faq
> >> * http://www.ats.ucla.edu/stat/stata/
> >>
> > *
> > * For searches and help try:
> > * http://www.stata.com/support/faqs/res/findit.html
> > * http://www.stata.com/support/statalist/faq
> > * http://www.ats.ucla.edu/stat/stata/
>
> *
> * For searches and help try:
> * http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
