program evaluation

In the project identification tell what you are doing; what are your goals, why? Etc. You can also put some background as to the type of PE that you have selected and fit it to your goal. The Methodology section is where you need to describe in detail what steps you will be doing for your selected type of PE. These two sections will require some citations. Data collection is where you describe everything you can about how the data were collected: when, from whom, how it was scored and by whom, etc. In your case you will not be able to answer all of these questions but tell as much as you can about it. The analysis of the data is where you describe exactly how you compared the data to reach a conclusion. Talk about the steps you took to get numbers to compare and what the comparisons mean. If there are problems, talk about them.
This is the Practicum 1 I’m evaluating which is I and the objectives is 8, 11, 16(Yolanda I – 8, 11, 16)

Program Evaluation

Order Description

view the attached information. the only question that needs to be answered is question #1. you will need to use the information above the question in order to answer it. The question (question 1 ) is found on slide 20.

What
does
this
tell
us?
Looking
at
the
regression
coefficient
for
the
ini<a<ve
(7.301)
with
a
standard
error
of
.997,
this
would
suggest
what?
First,
we
must
check
to
see
if
the
variable
is
sta<s<cally
significant
because
if
it
is
not
then
it
does
not
ma&er
what
the
regression
coefficient
is.
All
we
would
be
able
to
say
is
that
there
is
no
sta<s<cal
rela<onship
between
the
two
variables.
Coefficientsa
Model Unstandardized
Coefficients
Standardize
d
Coefficients
t Sig.
B Std. Error Beta
1
(Constan
t)
36.323 .680
53.449 .000
duminit 7.301 .997 .366 7.320 .000
a. Dependent Variable: turnout

Program Evaluation

Order Description

view the attached information. the only question that needs to be answered is question #1. you will need to use the information above the question in order to answer it. The question (question 1 ) is found on slide 20.

What
does
this
tell
us?
Looking
at
the
regression
coefficient
for
the
ini<a<ve
(7.301)
with
a
standard
error
of
.997,
this
would
suggest
what?
First,
we
must
check
to
see
if
the
variable
is
sta<s<cally
significant
because
if
it
is
not
then
it
does
not
ma&er
what
the
regression
coefficient
is.
All
we
would
be
able
to
say
is
that
there
is
no
sta<s<cal
rela<onship
between
the
two
variables.
Coefficientsa
Model Unstandardized
Coefficients
Standardize
d
Coefficients
t Sig.
B Std. Error Beta
1
(Constan
t)
36.323 .680
53.449 .000
duminit 7.301 .997 .366 7.320 .000
a. Dependent Variable: turnout