I am confused about what to do with the data set http://www.4shared.com/file/pz9nnOLQ/all_hospitals.html.

This data set has 29 variables, of which we have to discard the variables ID, FTEequivalent and Size as they are unnecessary. From the remaining ones, we have four dependent variables- turnoverincreasingFIN, profitabilityincreasing, turnoverstaffpercent, competitionforjobs. The other 22 variables were considered for factor analysis. We are guessing 4 factors (as the questionnaire was designed so).

The factors include-

employees ability to raise voice or participation, V factor (stands for Voice). Variables in V factor: newsletterspread, attsurveyspread, howsurveysused, surveyspaidattn2, regularstaffmtg, frequencystaffwalkinwards.

trainings given, T factor. Variables in T factor: workteams, trainingforfirstyears, averagetrainingmgmt, averagetrainingnonmgmt, averagetrainingnursing.

performance management factor, PM factor. Variables in PM factor: formalperformanceapppercnt, performanceappusedforwage, promotionrulesusage, jobdescriptformajority, jobdescriptmodifiedformally.

recruitment factor, R factor. Variables in R factor: internalpromotion, expendonrecruitmentproc, proportionnewemployee.

I was trying to use this R codes http://www.4shared.com/file/m4-VHlUF/all_hospitals.html for calculating factor scores first and then see if the four factors V, T, PM and R significantly affects the four dependent variables. But results are not coming as expected. Is this procedure right to use factor scores as input of further regression? I have come to know after facing the problem that the regression in factor scores produces biased (towards zero) estimates due to unaccounted measurement error. Then what should I use for this kind of analysis?

I guess these are common problems in Psychology, but I am a little inexperienced, I think. Some have suggested me SEM. What do you think? I don't know much about this. Kindly suggest me the procedure that is most appropriate seeing the data. That will be a great help indeed. I'll learn that procedure. Any quick reference is also appreciated!

Note that, there are both ordinal and scale variables. Moreover, my only objective is to see if the factors V, T, PM and R affects the dependent variables significantly or not.

Thanks and best regards.