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.[1] 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 |
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|
|
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Oregon |
Oregon |
Alaska Ill Ohio N Hamp Vermont Idaho Okla Kan SDak
|
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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:[2]
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.[3]
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 [4]
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.
[2] Data came from the last national survey readily available, which was 1997.
[3] SAT was not used. Students most likely to go to the most prestigious colleges are more likely to take the SAT. Consequently, a state that has few students going on to the higher college levels can have higher scores, ironically because they don't produce many higher quality students.
[4] For example, State A and State B both spend $5000/student/year. However, the average ACT in State A was 21 and the average ACT in State B was 18. State A is more efficient. It costs $238 per student in this state to produce one ACT point. In State B it costs $278.
EdtRegion2

