An ex post facto research design controlling for alternative
hypotheses is the framework for this exploratory analysis of the
relationships among school/non school factors and grade
level/content value-added scores in Ohio. Building level, non
school, student data such as socio-economic status, ethnicity,
mobility, attendance and gender were matched with grade
level/content value added scores in Ohio. School level data such as
numbers of teachers, teacher experience and training were also
matched with grade level/content value-added scores in Ohio.
Boxplots revealed a reduction in range of value-added scores as the
grade levels increase. Seven factors were used in a general linear
modeling analysis: %Free and Reduced Lunch (FRL), %Black, Teacher
attendance rate, %Teachers with a Masters, Teacher experience,
Teacher experience squared and %Teachers fully certified. Of these,
%FRL and teacher attendance have consistent relationships with
grade level/content value added scores in Ohio. The conclusions are
that there are relationships among building level school/non school
factors and grade level/content value-added scores in Ohio.
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