Posted by
statisticsdoc on
Jan 30, 2007; 1:11am
URL: http://spssx-discussion.165.s1.nabble.com/Help-need-feedback-tp1073543p1073544.html
Debra,
A few initial thoughts and questions:
1. I assume that your categorical variables are ordinal - like rubric scores
or grades. Is this correct? If you are predicting outcomes on an ordinal
variable, it would be helpful to use the SPSS PLUM package
( see
http://www.norusis.com/pdf/ASPC_v13.pdf ).
2. It strikes me that the 3rd grade and 4th grade assessments are on
fundamentally different metrics (ordinal and interval).
This is even more so if the 3rd grade scores are rubric scores that are
anchored on a criterion-referenced scoring system, rather a norm-referenced
one. You can conduct separate analyses for each outcome, of course.
3. Be very careful about collinearity in the predictors - there is probably
a lot of this with the test scores.
All for now - must dash - hope this helps,
Stephen Brand
For personalized and professional consultation in statistics and research
design, visit
www.statisticsdoc.com
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]]On Behalf Of
Debra Caywood-Rukas
Sent: Monday, January 29, 2007 7:21 PM
To:
[hidden email]
Subject: Help, need feedback
I am a doctoral student trying to pull together my diss topic and how to
analyze my data. It's been a few years since my Stats courses and would
like input.
I my looking to see if 2 different sets of reading assessment (IV's)
administered in Kindergarten and 1st grade (categorical) are predictive of
scores received on tests given in 3rd ( categorical) and 4th grade
(continuous: percentiles, but can convert to categorical), DV's . Can I keep
continuous or must I convert to categorical?
My data are longitudinal and consists of 153 students who took the 1st grade
assessments as well as the 3rd and 4th grade tests and a subset of that
group are 64 students who took the Kindergarten and 1st grade assessment as
well as the 3rd and 4th grade tests.
I am thinking that I need to analyze the data using Multiple Regression
multivariate analysis. Including examining if there are any interaction
effects between the 2 IV's. Am I on the right track? Any suggestions?
Please give me your thoughts.
Thanks,
Debra Caywood-Rukas, M.Ed., Ed. S, NCSP
Educational-School Psychologist