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An Analysis of the Performance of First Year Students Completing a Developmental Math Course
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An Analysis of the Performance of First Year Students Completing a Developmental Math Course
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Description
Identifier
Diss
6
Author
Keleher, Jane C.
Title
An
Analysis
of the
Performance
of
First
Year
Students
Completing
a
Developmental
Math
Course
Publisher
Central Connecticut State University
Date of Publication
2005
Resource Type
Dissertation
Abstract
Information
about
student
performance
was
obtained
by
analyzing
the
performance
of
twenty-three
fall
sections
of
developmental
mathematics
taught
at a
state
university
. The
independent
variables
included
student
performance
on
three
predictor
variables
: a
state
test
, the
SAT
and a
standardized
placement
test
(Accuplacer)
.
Additional
independent
variables
included
the
grouping
of the
sending
school
by
socioeconomic
factors
,
student
gender
, and
student
study
of
mathematics
the
senior
year
of
high
school
. The
dependent
variable
was
achievement
in
developmental
mathematics
as
measured
by the
final
grade
on a
departmentalized
final
exam
as
well
as
sub
scores
measuring
skills
, and,
problem
solving
and
graphing
. The
t-test
for
means
was
used
to
compare
means
of
two
groups
and
analysis
of
variance
was
used
to
compare
means
of
more
than
two
groups
.
Pearson
r
correlation
coefficients
were
used
to
determine
correlation
of the
predictor
variables
to
achievement
.
Linear
regression
and
multiple
regression
were
used
to
develop
prediction
equations
using
single
and
multiple
effects
of the
predictor
variables
.
Statistically
significant
differences
were
found
based
on
gender
,
socioeconomic
grouping
of
students
and
study
of
mathematics
the
senior
year
.
Senior
year
study
of
mathematics
was
significantly
related
to
performance
on the
placement
test
.
While
predictor
variables
were
significantly
related
to
student
performance
,
no
single
predictor
or
multiple
effects
of
predictors
lead
to
valid
prediction
equations
. The
conclusions
include
the
need
to
determine
the
source
of
extreme
variability
in the
relationships
of the
prediction
variables
to
student
performance
.
Subject
Mathematics -- Study and teaching (Secondary) -- Connecticut
Mathematics -- Remedial teaching -- Connecticut
Mathematical ability -- Testing
Department
Department of Educational Leadership
Advisor
Arends, Richard
Type
Text
Digital Format
application/pdf
Software
System requirements: PC and World Wide Web browser.
Language
eng
OCLC number
713733948
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