I've recently submitted my thesis, which is in the social sciences. I've been asked to turn it into some papers, and have another look at my data to see what else is in there. I've been using regression analysis so far, but my supervisor has said I could have a look at structural equation modelling and maybe or multi-level modelling (as I have two level data). The problem is that I have no idea about these statistical analyses. Can anyone suggest any resources to get me up to speed? Ta

Andy field's 2009 book has a great chapter at the end on multi-level modelling - very easy to follow. There's a limited preview on google books.


I have a book somewhere about using AMOS on pdf - pm me your email if you want me to send it over. also see http://www.statisticshell.com/sem.pdf

Hi the_master, sounds like you have a very similar data to me! Sorry for the plug, but weirdly enough, the statistician in my department at the University of Sheffield is running courses on both SEM and MLM over the next few months; they sound like they might be useful for you. I also assist on teaching these courses that are aimed at postgrads and postdocs, and they are suitable for people with some idea about stats but want to learn about new analytical approaches. If you're interested, check out: http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm In the meantime, hope you get somewhere with learning about these analyses :)