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Evaluation of Desegregation

Funding Goals

October 22, 1997

 

  Gregg Cannon, Ph.D.

 

Executive Summary

The three primary goals of desegregation funding are: 1) to maintain or promote student diversity; 2) to improve achievement for all students, regardless of race, ethnicity or gender; and 3) to ensure equal access to schools, programs and activities, regardless of race, ethnicity or gender. This evaluation was an attempt at determining how well Desegregation (Deseg) schools are doing relative to meeting these goals. Since at present there is very little or no data available on participation in school activities this initial evaluation was limited to addressing the first two goals. The wording of the first two goals implies both, a "snap-shot" comparison between Deseg and Non-Deseg schools, and a longitudinal comparison of Deseg schools in terms of academic achievement and student diversity.

The following is a comparison among the District's original 21 Desegregation (Deseg) Schools and 70 Non-Desegregation (Non-Deseg) Schools. Both Deseg and Non-Deseg schools included only elementary and middle schools. Since all Alternative Education Schools were Non-Deseg they were excluded from the analysis. Deseg and Non-Deseg schools were compared on their demographic characteristics, achievement scores, and responses to the School Quality Survey over the past two years. The comparison between Deseg and Non-Deseg schools on measures of achievement, and responses to the School Quality Survey was done using both residualized and non-residualized scores. A residualized measure has had the variance accounted for by some other related variable or variables removed.

In Effective Schools research the variance removed is usually variance accounted for by some variable or variables over which the school has no control. These variables are usually related to the demographic make-up of the student population. Removing the variance accounted for by the demographics of a school, in effect makes the schools more comparable.

Maintaining or Promoting Student Diversity

For both school years (1994-95 & 1995-96) Deseg schools appeared to be more ethnically diverse than Non-Deseg schools. There was a smaller percentage of White/Anglo students and a larger percentage of minority students in Deseg schools compared to Non-Deseg schools. The only exception to this was the smaller percentage of Native American students in Deseg compared to Non_Deseg schools. However, analysis showed the percentage of Native American students in Deseg schools increased from 94-95 to 95-96.

To evaluate how Deseg funding, and enrollment diversity is affecting diversity appreciation required analysis to the Diversity Appreciation questions from the School Quality Survey. The data in these tables presented compelling evidence that Deseg schools are typically rated higher than Non-Deseg schools in terms of Diversity Appreciation. The removal of variance due to cost per student alone had a detrimental effect on measures of diversity appreciation in Deseg schools, implying that increased cost per student in Deseg schools has a positive effect on diversity appreciation.

Improve Achievement for all Students Regardless of Race, Ethnicity, or Gender

Although Deseg schools scored a little lower on all four subscales of the ITBS, the difference was not statistically significant. Similar results were obtained when ITBS scores were broken down by ethnic group. One notable pattern was that both Native American and Asian American students' ITBS scores increased from 94-95 compared to 95-96 in Non-Deseg schools while they decreased in Deseg schools over the same period. Results of the same analysis broken down by gender indicated that in general female students out performed male students in both Deseg and Non-Deseg schools except in mathematics.

In most instances when comparisons of ITBS scores were based on residualized scores or demographic matching, Deseg schools scored higher overall than Non-Deseg schools.

When comparisons were based on raw Essential Skills scores Deseg schools scored slightly lower than Non-Deseg schools. On the other hand, when comparisons were based on residualized scores, matching, or both, Deseg schools scored higher than Non-Deseg schools.

Whether comparisons were based on residualized measures or demographic matching, Deseg schools were affected more positively than Non-Deseg schools. Since the removal of variance due to both student demographics and cost per student increased performance more in Deseg schools compared to Non-Deseg schools, it stands to reason that this variance has a more detrimental effect on performance in Deseg schools. More specifically, the lower SES, higher mobility, and higher percentage minority found in Deseg schools has a detrimental effect on achievement performance. For this reason, removal of the variance due to these same demographic factors has a positive impact on achievement performance for Deseg schools. By the same reasoning, since removal of the variance due to cost per student alone also increased performance in Deseg schools, it follows that increased cost per student has a detrimental effect on academic achievement. Since it would be hard to argue that increased cost per student (e.g., more teachers) has a detrimental affect on academic achievement the most that could be said is that cost per student (i.e., the way Desegregation funds are currently being spent) has a negligible impact on academic achievement.

 

Evaluation of Desegregation Funding Goals


The three primary goals of desegregation funding are: 1) to maintain or promote student diversity; 2) to improve achievement for all students, regardless of race, ethnicity or gender; and 3) to ensure equal access to schools, programs and activities, regardless of race, ethnicity or gender. This evaluation was an attempt at determining how well Desegregation (Deseg) schools are doing relative to meeting these goals. Since at present there is very little or no data available on specific programs and activities this initial evaluation was limited to addressing the first two goals. The wording of the first two goals implies both, a "snap-shot" comparison between Deseg and Non-Deseg schools, and a longitudinal comparison of Deseg schools in terms of academic achievement and student diversity.

The following is a comparison among the District's original 21 Desegregation (Deseg) Schools and 70 Non-Desegregation (Non-Deseg) Schools. Both Deseg and Non-Deseg schools included only elementary and middle schools. Alternative Education Schools were excluded from the analysis. Deseg and Non-Deseg schools were compared on their demographic characteristics, achievement scores, and responses to the School Quality Survey over the past two years.

The comparison among Deseg and Non-Deseg schools on measures of achievement, and responses to the School Quality Survey was done using both residualized and non-residualized scores. A residualized measure has had the variance accounted for by some other related variable or variables removed. In Effective Schools Research it is often desirable to remove variance that impacts on achievement scores. Usually the variance removed is variance accounted for by some variable or variables over which the school has no control. These variables are usually related to the demographic make-up of the student population. Removing the variance accounted for by the demographics of a school, in effect makes the schools more comparable. Removing extraneous variance that impacts on measures of interest is a method of statistically matching schools.

Table 1 shows a statistical profile of the District's 21 Desegregation schools. In addition to the four demographic variables used in the residualization process the table includes variables such as attendance rate, student/teacher ratio, and cost per student to name a few. Table 2 shows the results of an Analysis of Variance (ANOVA) comparison between Deseg and Non-Deseg schools on the same variables presented in Table 1. Only three variables were found to be significantly different at (p < .01). The average number of students per teacher was significantly greater in Non-Deseg schools compared to Deseg schools. The average number of students per teacher with advanced degrees was also significantly greater in Non-Deseg schools. Finally, the average cost per student was significantly greater for Deseg compared to Non-Deseg schools.

Table 1

Identification and Statistical Profile of the
District's 21 Desegregation Schools 1995-96

Schools

(N = 21)

Attend

Student/TeacherRatio

Deg Ratio

Lunch

Yrs Exp

Cost/Student

% Minority

% LEP

Suspend

Enroll

Mobility

Blenman

96.80

22.70

73.11

65.8

11.03

2463.72

34.35

12.9

5

658

140

Borton

96.90

16.60

21.09

62.5

17.06

5123.01

59.48

35.3

0

232

156

Brichta

97.50

20.90

37.70

40.6

15.38

2928.57

63.40

14.5

1

377

152

Carrillo

97.60

16.70

19.07

65.2

15.55

4653.14

66.67

27.7

0

267

161

Cragin

96.30

18.70

32.28

68.5

11.78

2781.67

43.72

23.4

10

581

130

Davis

97.70

14.70

22.10

49.3

10.68

5223.01

77.38

19.0

0

221

156

Drachman

95.80

14.90

31.20

77.6

11.86

5002.80

72.44

37.2

2

312

155

Fort Lowell

96.80

18.40

25.80

70.3

12.92

3267.04

50.39

23.0

3

387

142

Holladay

96.90

16.70

44.50

68.9

7.67

3667.25

53.56

20.9

0

267

157

Howell

95.20

21.90

48.20

64.7

11.38

2794.55

53.32

21.6

0

482

133

Jefferson

96.70

19.30

44.14

68.0

9.32

3040.82

53.40

27.2

1

309

143

Kellond

97.70

20.10

22.15

55.5

11.36

2920.38

39.28

18.9

1

443

157

Manzo

96.20

19.30

31.00

92.0

12.19

3381.97

96.56

44.7

5

465

151

Safford

93.70

10.00

17.91

70.0

11.67

3857.04

74.88

37.3

75

609

145

Tully

96.60

18.20

37.71

68.4

13.37

3141.85

71.21

30.7

7

528

157

Doolen

96.20

15.70

26.12

66.1

10.95

3312.30

41.30

22.9

198

862

139

Mansfeld

98.20

15.80

30.96

58.7

8.68

3284.76

68.12

24.3

214

712

139

Maxwell

95.00

11.30

21.30

87.8

9.44

4327.38

87.09

39.7

146

426

131

Townsend

92.20

17.70

21.71

56.5

16.13

3297.44

45.47

24.4

97

673

141

Utterbac

95.70

16.70

36.38

60.1

10.06

3116.28

52.13

22.1

144

1055

150

Vail

98.50

13.90

22.09

53.7

11.03

3551.15

38.08

10.9

161

751

145

All Schools

96.39

17.15

31.74

65.25

11.88

3577.91

59.15

25.7

51

506

147

Attend: --- Attendance rate
Lunch: --- Percentage of students on free or reduced lunch
% Minority: --- Percentage of minority students
% SDPE: --- Percentage of SDPE students
Suspend: --- Number of students suspended at least one time
Enroll: --- Enrollment
Mobility: --- Pertcentage of days students were enrolled (total possible = 175)

Table 2

Identification and Statistical Profile of the
District's 21 Desegregation Schools 1996-97

Schools

Attend

Lunch

% Minority

%SDPE

Suspend

Enroll

Mobility

Blenman

92.30

69.28

36.86

21.33

1

586

18.40

Borton

94.00

59.09

53.18

56.36

0

220

7.20

Brichta

92.20

42.12

59.03

16.62

0

349

12.60

Carrillo

93.50

67.21

65.57

33.61

1

244

8.60

Cragin

93.00

73.06

48.65

29.79

4

631

21.20

Davis

94.50

51.13

73.30

31.67

0

221

6.00

Drachman

91.40

82.42

74.73

57.51

0

273

10.70

Fort Lowell

93.20

68.34

51.01

37.44

2

398

16.50

Holladay

93.20

67.10

53.25

30.74

5

231

5.90

Howell

93.20

70.02

51.54

24.02

3

487

22.50

Jefferson

93.40

65.26

55.79

30.18

0

285

15.00

Kellond

94.50

57.20

41.51

12.90

5

465

10.60

Manzo

92.30

90.52

96.26

66.58

0

401

13.40

Tully

93.40

70.53

74.52

36.88

3

526

10.50

Doolen

91.30

64.30

40.69

17.18

295

902

17.10

Mansfeld

90.90

61.47

68.27

14.67

252

750

18.10

Maxwell

90.80

78.35

86.62

37.85

211

568

17.60

Safford

92.10

74.63

76.43

33.72

55

611

11.40

Townsend

89.20

55.34

45.93

17.70

18

627

15.60

Utterback

91.10

63.17

53.14

13.13

184

1097

12.30

Vail

91.90

58.98

40.08

5.90

236

746

12.10

All Schools

92.45

66.17

59.35

29.80

61

506.

13.49

Attend: --- Attendance rate
Lunch: --- Percentage of students on free or reduced lunch
% Minority: --- Percentage of minority students
% SDPE: --- Percentage of SDPE students
Suspend: --- Number of students suspended at least one time
Enroll: --- Enrollment
Mobility: --- Pertcentage of days students were enrolled (total possible = 175)

Table 3

ANOVA Comparison of Deseg and
Non-Deseg Schools on Profile Statistics 1995-96

Schools

(N = 88)

Attend

Student/TeacherRatio

Deg Ratio

Lunch

Yrs Exp

Cost/Student

% Minority

% LEP

Suspend

Enroll

Mobility

No-Deseg

97.08

21.25

45.59

58.26

11.00

2453.25

51.21

19.20

23.14

495.8

148.1

Deseg

96.39

17.15

31.74

65.25

11.88

3577.91

59.15

25.66

50.95

505.6

146.7

Both Groups

96.92

20.27

42.28

59.87

11.21

2712.79

53.04

20.69

29.56

498.0

147.8

Bold means are significantly different at p < .01

Table 4

ANOVA Comparison of Deseg and
Non-Deseg Schools on Profile Statistics 1996-97


Schools

Attend

Lunch

%Minority

%SDPE

Suspend

Enroll

Mobility

Deseg

92.45

66.17

59.35

29.80

60.71

505.62

13.49

Non_Deseg

93.19

60.20

52.63

21.72

24.11

488.41

14.41

All Schools

93.03

61.54

54.13

23.53

32.29

492.26

14.20

There were no significant differences.
Attend: --- Average attendance rate
Lunch: --- Percentage of students on free or reduced lunch
% Minority: --- Average percentage minority across schools
% SDPE: --- Average percentage SDPE students across schools
Suspend: --- Average number of students suspended at least one time
Enroll: --- Average enrollment
Mobility: --- Average number of days enrolled (total possible = 175)

 

Table 5

1994-95 Ethnic Breakdown for Deseg and Non-Deseg Schools

Schools

Ethnicity

Row

 

White/Anglo

African American

Hispanic

Native American

Asian American

Totals

Non-Deseg

16416

2150.

13622

1410

755

34353

Row %

47.79%

6.26%

39.65%

4.10%

2.20%

100.0%

Deseg

4360

728

4925

282

233

10528

Row %

41.41%

6.91%

46.78%

2.68%

2.21%

100.0%

 

Table 6

1995-96 Ethnic Breakdown for Deseg and Non-Deseg Schools

Schools

Ethnicity

Row

 

White/Anglo

African American

Hispanic

Native American

Asian American

Totals

Non-Deseg

16026

2229

14168

1509

773

34705

Row %

46.18%

6.42%

40.82%

4.35%

2.23%

100.0%

Deseg

4369

719

4977

305

247

10617

Row %

41.15%

6.77%

46.88%

2.87%

2.33%

100.0%

 

Table 7

1996-97 Ethnic Breakdown for Deseg and Non-Deseg Schools

Schools

Ethnicity

Row

 

White/Anglo

African

American

Hispanic

Native

American

Asian

American

Totals

Non-Deseg

15985

2376

14882

1559

806

35608

Row %

44.89%

6.67%

41.79%

4.38%

2.26%

100%

Deseg

4249

712

5011

293

256

10521

Row %

40.39%

6.77%

47.63%

2.78%

2.43%

100%

 

Tables 6 through 8 show enrollment broken down by gender across the same two years.

Table 8

1994-95 Gender Breakdown for Deseg and Non-Deseg Schools

Schools

Gender

Row

 

Male

Female

Totals

Non-Deseg

17613

16741

34354

Row %

51.27%

48.73%

100.0%

Deseg

5354

5197

10551

Row %

50.74%

49.26%

100.0%

 

Table 9

1995-96 Gender Breakdown for Deseg and Non-Deseg Schools

Schools

Gender

Row

 

Male

Female

Totals

Non-Deseg

17762

16943

34705

Row %

51.18%

48.82%

100.0%

Deseg

5439

5178

10617

Row %

51.23%

48.77%

100.0%

Table 10

1996-97 Gender Breakdown for Deseg and Non-Deseg Schools

Schools

Gender

Row

 

Male

Female

Totals

Non-Deseg

18326

17282

35608

Row %

51.47%

48.53%

100%

Deseg

5406

5115

10521

Row %

51.38%

48.62%

100%

 

Table 11

ANOVA Comparison of Deseg And
Non-Deseg Schools on 1995-96 ITBS Scores


 

ITBS Scores (NCE)

Schools

Vocabulary

Reading

Usage &

Expression

Mathematics

Non-Deseg (69)

48.61

49.95

53.13

54.15

Deseg (19)

48.31

49.88

52.22

53.05

None of the means were significantly different

Table 12

ANOVA Comparison of Deseg And
Non-Deseg Schools on 1996-97 Stanford 9 Scores


 

Stanford 9 Scores (NCE)

Schools

Reading

Mathematics

Language

Non-Deseg (71)

48.72

44.38

46.21

Deseg (19)

48.91

45.32

46.76

 

 

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