Assignment
A student developed for
her dissertation a 36-item scale for raters to evaluate the quality of teacher
instruction by video. To evaluate the
measurement process, she had 5 teacher observation experts rate videotaped
lessons from 3 different teachers. Each teacher submitted one 45-minute lesson
for evaluation. The lessons differed across teachers. Each of the 5 expert raters evaluated all 3
teacher-videos using all 36 items. Items
were scored on a 1-4 integer scale.
a. Write out the full model for the Generalizability
Theory design that best represents this procedure. Include at least 1 or 2
examples of specifications of error distributions (or writing them all out is
fine if it’s not too tedious).
Note:
·adapt the G theory equation to
match the scenario
·write the full model (equation)
·the equation will definitely
have a random error. Just specify that error with rationale.
b. Of the facets of error whose variance
components you cannot estimate, which do you think is of greatest concern?
Note:,
·
Items (i)
·
Raters (r)
·
Teachers (t)
·
What is the measurement design?
·
Nested or crossed with?
·
Draw a Venn diagram to show that , write a rationale
·
Then write a single sentence to answer the question clearly
c. The student was interested in
comparing the reliability of these 5 expert raters to principal raters. For
principals, she used the same design but with 65 principals (each of the 65
principals rated all 3 teacher-videos, using all 36 items). She obtained the
estimated variance components below for experts and for principals. She used the same videos and items across
both studies.
Source |
Experts |
Principals |
t |
0.005 |
0.073 |
i |
0.125 |
0.075 |
r |
0.004 |
0.002 |
ti |
0.043 |
0.048 |
tr |
0.016 |
0.057 |
ir |
0.013 |
0.017 |
tir |
0.123 |
0.212 |
I provide D study
curves for the same design on the next page for both rater types, experts and
principals, with relative standard errors at left and generalizability
coefficients for relative error at the right.
Based on the variance components above, identify whether the top two
plots are for Experts or for Principals.
Conduct any calculations you like to support your decision, although an
explanation may also suffice.
Note:,
·
There are differences between variance components of principals and
raters.
·
Which of the diagrams below are for principals and which one if for
experts. Make the decision based on the values.
·
Provide the reason
·
What are the X and what are Y in the diagrams.
·
Calculate and tell why?
Get Free Quote!
264 Experts Online