Quality
Rankings of Education in the Fifty States
Montana
Comparisons
Dennis E.
Clayson, Ph.D.,
Director
Center
for Applied Economic Research
MSU-Billings
This
report looks at the quality of Montana's schools through several different
methods. Montana has a school system with poor inputs, but with generally good
outputs. This is achieved by a
relatively efficient system. The positive outputs of the state education system,
however, have not manifested themselves in increased positions that will attract
college graduates or in corresponding incomes.
Recently,
the Thomas Fordham Foundation released a study to the media ranking the states
on the basis of "teacher quality".
Montana ranked dead last out of 49 states.
The report elicited the expected negative reaction from educators within
Montana.
There
are numerous ways that education quality can be evaluated.
The following table outlines a number of these.
Measures of
Educational Quality
|
Teacher
Quality
|
Education
Input
|
Education
Output
|
Education
Social Impact
|
Education
Efficiency
|
|
1. Texas
2. Florida
3. Michigan
4. California
5. N Carolina
6. New York
7. Kentucky
8. Mass
9. Colorado
10.NewJersey
11. Georgia
12. Penn
13. S Carolina
14. New Mex
15. Virginia
16. Oklahoma
17. Maryland
18. Missouri
19. NewHamp
20. Delaware
21. Utah
22. Illinois
23. Minnesota
24. West Vir
25. Arizona
26. Conn
27. Mississippi
28. Ohio
29. Louisiana
30. Tennessee
31. Rhode Is
32. Nevada
33. Idaho
34. Wisconsin
35. Arkansas
36. Vermont
37. Wyoming
38. Indiana
39. Wash
40. Iowa
41. N Dakota
42. Nebraska
43. Alaska
44. Hawaii
45. Maine
46. Alabama
47. S Dakota
48. Kansas
49. Montana
|
1.New York
2.California
3. Michigan
4NewJersey
5. Penn
6. Alaska
7. Conn
8. Maryland
9. Florida
10. Mass
11. Delaware
12. Illinois
13. Colorado
14. Arizona
15. Utah
16. Minn
17. Wash
18. Ohio
18. Texas
20. Rhode Is
21. Georgia
22. Nevada
23. Wisc
24. Kentucky
25.NewHamp
26. Indiana
27.NCarolina
28. Hawaii
29. Missouri
30.S Carolina
31. Virginia
32. West Vir
33. Vermont
34. New Mex
35. Idaho
36.Oklahoma
37. Tennessee
38. Wyoming
39. Miss
40. Louisiana
41. Iowa
42. Arkansas
43. Kansas
44.
Maine
45.
Nebraska
46.
Alabama
47. Montana
48. N
Dakota
49. S Dakota
|
1. Maine
2. Wisc
3. Conn
4. Iowa
5. Minn
6. N Dak
7. Montana
8. Mass
9. Nebraska
10. Indiana
11. Wash
12. Utah
13. Miss
14. Wyoming
15. Nevada
16. Colorado
17.NewYork
18. Rhode Is
19. Penn
20. Texas
21. Virginia
22. Maryland
23. Arizona
24. West Vir
25.NCarolina
26. Kentucky
27. Delaware
28. Hawaii
29. Florida
30.NewJersey
31. Tenn
32. Georgia
33. Arkansas
34. New Mex
35. Alabama
36. California
37. S Carolina
38. Louisiana
39. Miss
40. Michigan
|
1. Conn
2. Maryland
3. Mass
4.NewJersey
5. Colorado
6.Wash
7.NewHamp
8. NewYork
9. Minnesota
10. Ohio
11. Virginia
12. Illinois
13. Kansas
14. Oregon
15. Vermont
16. Alaska
17. Hawaii
18. Rhode Is
19. Utah
20. Del
21. California
22. Wisc
23. Neb
24. Iowa
25. Indiana
26. Wyoming
27. Missouri
28.
Arizona
29.
Maine
30.
Michigan
31.
NDakota
32. Florida
33. Idaho
34. S Dakota
35. Penn
36. New Mex
37. Texas
38. Georgia
39. Nevada
40. Oklahoma
41. N Carolina
42. Montana
43. Tennessee
44. S Carolina
45. Louisiana
46. Alabama
47. Kentucky
48. Arkansas
49. West Vir
50. Miss
|
1. Utah
2. N Dakota
3.Tenn
4. Iowa
5. Nevada
6. Arkansas
7. Montana
8. Missouri
9. N Car
10. Alab
11. Arizona
12. Minn
13. Colorado
14. Indiana
15. Texas
16. Nebraska
17. Maine
18. New Mex
19. Kentucky
20. Virginia
21. Miss
22. Georgia
23. Wash
24. Wyoming
25. Wisc
26. S Carolina
27. Florida
28. West Vir
29. California
30. Mass
31. Penn
32. Louisiana
33. Rhode Is
34. Hawaii
35. Conn
36. Maryland
37. Delaware
38. New York
39.NewJersey
|
|
States missing data
|
|
|
|
|
|
Oregon
|
Oregon
|
Alaska
Ill
Ohio
N Hamp
Vermont
Idaho
Okla
Kan
SDak
|
|
Alaska
NHamp
Idaho
Ill
Mich
Okla
Kan
Ohio
Oreg
Vermont
SDak
|
In
the social sciences, a term like "quality" is referred to as a
hypothetical construct. "Quality"
is not something that can be measured like the length of a table or the weight
of a car. "Quality" must
be inferred from other measurements that are related to what people generally
mean by "quality".
Because
of the inference of relationships, different measurements of "quality"
can be created which reflect a number of different viewpoints, including those
that are political. Therefore, it is imperative when judging the results of these
studies to know how "quality" was defined in terms of how it was measured.
The
rankings in the above table were calculated using the following data.
Teacher
Quality
This
is the result of the recent Thomas Fordham Foundation study.
Teacher "quality" was measured by how the:
1. States
punish or reward teachers and administrators for student achievement,
2. Conducts
checks on teachers' backgrounds and college course work, and
3. How much
power the state gives for individual schools to hire and fire teachers.
Education
Input
Four
measurements were standardized and then averaged for this variable:
1. Average
teacher salaries,
2. Pupil/teacher
ratios,
3. Education
cost per student, and
4. The
Thomas Fordham results.
Education
Output
Output
was calculated by using the standardized average of:
1. Percent
of 4th graders at or above grade level as measured on NAEP tests on
- Reading,
and
-
math
2.Mean ACT
score for the state.
Education
Social Impact
The
measurement is problematic. In this
case it was simply measured by using the standardized average of three measures:
1. Per
capita income,
2. Percent
of population with college degrees, and
3. The
average number of books checked out of libraries per capita.
Education
Efficiency
This
measurement is basically the "bang-per-buck" of education.
It is a measurement that businesses would use if they were measuring
efficiency. It was calculated by
using the standardized average of the cost per student per unit measured output.
Three measures were used:
1. The cost
per student per percent of reading above or at 4th grade level,
2. The cost
per student per percent of math above or at 4th grade level, and
3. The cost
Relationships
The
median family income is positively related to all of the measures noted above.
In other words, states that have higher family incomes have better
schools on all measures. This is true even for efficiency, partially dispelling the
notion that efficiency is simply a statistical artifact created by the fact that
any education program is better than none.
There
is, however, no relationship between the educational inputs and educational
outputs. This conclusion is not
counterintuitive. There is, in
fact, almost a negative correlation between the amount of money spent
historically on education in America and almost any measure of achievement
(except perhaps, psychosocial benefits).
Another
indicator that there is little relationship between inputs and outputs is found
in the relationship between minorities and educational achievement.
States that have a higher minority population percentage have, on
average, lower educational outcomes as measured by standardized tests.
In the above data, there is a strong negative relationship between the
percentage of minorities in a state and the educational output. There is, however, no relationship between minority
percentage and educational inputs.
There
is also no significant relationship between educational efficiency and
educational output. This is not
unexpected since efficiency is a function of monetary input. There is a strong relationship between education efficiency and
education's social impact. This finding is, however, not related to monetary input but
to population density. States with
lower population density generally do better with the resources they have.
It
is instructive to compare Montana's ranking with related states.
Rankings of
Selected States Compared with Montana
|
Factor
|
Montana
|
Wyoming
|
N
Dakota
|
Utah
|
Iowa
|
|
Teacher Quality
|
49
|
37
|
41
|
21
|
40
|
|
Input
|
47
|
38
|
48
|
15
|
41
|
|
Output
|
7
|
14
|
6
|
12
|
4
|
|
Social Impact
|
42
|
26
|
31
|
19
|
24
|
|
Efficiency
|
7
|
24
|
2
|
1
|
4
|
These
states were selected for several reasons:
1.
All have
relatively small populations; none are over four times as large as Montana in
population,
2.
All (with
the possible exception of Utah) are considered to be rural states,
3.
North
Dakota and Wyoming are Montana neighbors,
4.
Utah has
the highest efficiency rating, and
5.
Iowa had
the highest combined ACT and SAT scores in the nation the year the data was
collected.
Whereas
the Thomas Fordham Foundation's study puts Montana dead last, it is basically a
measure of the local control of education. Other measures give a mixed picture. In the latest comparative data (generally 1996-97), Montana's educational
inputs were not impressive.
Input
Rank
Pupil/teacher
ratio
28
Teacher's
average salary
45
Expenditure/student 28
On
the other hand, educational outputs were more positive.
Outputs
Rank
Reading,
grade 4
6
Math,
grade 4
8
Mean
ACT score
7
The
social impacts of education are negative to mixed.
Social
Impact
Rank
Per
capita income
47
Per
cent with college degrees
25
Library
books in circ/capita
31
Summary
In
summary, Montana has a school system with poor inputs, but with generally good
outputs. This is achieved by a
relatively efficient system and the fact that, fortunately for Montana, there is
little relationship between monetary inputs and measurable outputs.
The positive outputs of the state education system, however, have not
manifested themselves in increased positions that will attract college graduates
or in corresponding incomes.
|