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The Impact of Tutoring on Spring AIMS
Performance
The pool of students consisted of 1,935 high school juniors who took the Fall 2004-2005 AIMS and failed to meet the State Standards in at least one subject area. Students were then divided into two groups based on whether the student took advantage of tutoring or not. The Fall and Spring AIMS were different tests and therefore were not directly comparable in terms of raw scores. Since the same students took the AIMS in both Fall and Spring, and both versions of the AIMS were assumed to be measuring the same traits a decision was made to equate the two tests on difficulty. The Spring AIMS was adjusted to match the mean and standard deviation of the Fall AIMS using the formula:
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Where Y represents the Spring test and X represents the Fall test.
The first group of tables labeled “AIMS Raw Score Results…” compared the two groups on AIMS raw scores for Fall 2004-2005 and adjusted AIMS raw scores for Spring 2004-2005. Significant gains following tutoring were demonstrated for Reading, Writing and Mathematics. The group receiving tutoring in math scored significantly higher before receiving tutoring and continued to score significantly higher following tutoring.
The second group of tables show the correlations between AIMS raw scores (Spring and Fall) and the number of hours of tutoring received. The correlations while statistically significant were small in magnitude, possibly due to the restricted range in the number of tutoring hours received. Although a student could receive up to 45 hours of tutoring (five students and one instructor) 80% of the students receiving tutoring got five hours or less. This problem of restricted range also made it impossible to determine the optimum number of hours of tutoring.
Next Chi-Square analyses were performed looking at the number of students meeting the State Standards compared to the number of students failing to meet the standards by group. The Chi-Square values were significant for Writing and Mathematics, but not for Reading.
Finally, a set of tables presents
the demographic breakouts of the two groups for Reading, writing and Mathematics.
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AIMS Raw Score Results for
Fall 2004-2005 and Spring 2004-2005 By Group
AIMS Reading 2004-2005
|
Group |
Fall 04-05 |
Spring 04-05 |
||||
|
Means |
N |
Std.Dev. |
Means |
N |
Std.Dev. |
|
|
No Tutoring |
54.12 |
618 |
13.41 |
57.06 |
618 |
13.99 |
|
Tutoring |
54.43 |
207 |
12.81 |
59.60 |
207 |
13.18 |
|
All Groups |
54.20 |
825 |
13.25 |
57.70 |
825 |
13.82 |
Reading ANOVA Results
|
|
SS |
df |
MS |
SS |
df |
MS |
|
|
|
|
Effect |
Effect |
Effect |
Error |
Error |
Error |
F |
p |
|
Fall 04-05 |
14.3200 |
1 |
14.3200 |
144688.9 |
823 |
175.8066 |
.081453 |
.775410 |
|
Spring 04-05 |
998.2262 |
1 |
998.2262 |
156448.3 |
823 |
190.0951 |
5.251192 |
.022184 |
|
Gains |
773.4261 |
1 |
773.4261 |
122699.9 |
823 |
149.0885 |
5.187696 |
.023003 |
AIMS Writing 2004-2005
|
Group |
Fall 04-05 |
Spring 04-05 |
||||
|
Means |
N |
Std.Dev. |
Means |
N |
Std.Dev. | |
|
No Tutoring |
48.41 |
441 |
9.04 |
50.03 |
441 |
8.36 |
|
Tutoring |
49.98 |
124 |
7.22 |
54.11 |
124 |
7.14 |
|
All Groups |
48.75 |
565 |
8.69 |
50.93 |
565 |
8.27 |
Writing ANOVA Results
|
|
SS |
df |
MS |
SS |
df |
MS |
|
|
|
|
Effect |
Effect |
Effect |
Error |
Error |
Error |
F |
p |
|
Fall 04-05 |
239.096 |
1 |
239.096 |
42355.28 |
563 |
75.23141 |
3.17814 |
.075168 |
|
Spring 04-05 |
1607.131 |
1 |
1607.131 |
36998.27 |
563 |
65.71629 |
24.45559 |
.000001 |
|
Gains |
606.455 |
1 |
606.455 |
29427.62 |
563 |
52.26931 |
11.60251 |
.000706 |
Gain =
(Spring AIMS raw score) – (Fall AIMS raw score)
AIMS Raw Score Results for Fall 2004-2005
And Spring 2004-2005 By Group (continued)
AIMS Mathematics 2004-2005
|
Group |
Fall 04-05 |
Spring 04-05 | ||||
|
Means |
N |
Std.Dev. |
Means |
N |
Std.Dev. | |
|
No Tutoring |
50.15 |
1128 |
13.00 |
52.86 |
1128 |
14.84 |
|
Tutoring |
54.12 |
355 |
11.47 |
60.95 |
355 |
13.63 |
|
All Groups |
51.10 |
1483 |
12.76 |
54.80 |
1483 |
14.96 |
Mathematics ANOVA Results
|
|
SS |
df |
MS |
SS |
df |
MS |
|
|
|
|
Effect |
Effect |
Effect |
Error |
Error |
Error |
F |
p |
|
Fall 04-05 |
4247.58 |
1 |
4247.58 |
236952.3 |
1481 |
159.9948 |
26.54825 |
.000000 |
|
Spring 04-05 |
17646.11 |
1 |
17646.11 |
313833.0 |
1481 |
211.9061 |
83.27323 |
.000000 |
|
Gains |
4578.58 |
1 |
4578.58 |
167160.3 |
1481 |
112.8699 |
40.56508 |
.000000 |
Correlations Between AIMS Test Scores and Hours of
Tutoring
Reading
|
Variable |
Hours Tutoring(w) |
|
Fall Test Scores |
.20 |
|
Spring Test Scores |
.25 |
|
Gains |
.04 |
Writing
|
Variable |
Hours Tutoring(w) |
|
Fall Test Scores |
.21 |
|
Spring Test Scores |
.27 |
|
Gains |
.12 |
Mathematics
|
Variable |
Hours Tutoring(w) | |
|
Fall Test Scores |
.19 |
|
|
Spring Test Scores |
.27 |
|
|
Gains |
.18 |
|
Number of Hours Tutoring by Group and Subject Area
|
Group |
Mean Number of Hours Tutoring (min –
max) | |||||
|
Reading (.5 – 22) |
Writing (.5 – 10) |
Math (.5 – 30) | ||||
|
|
Means |
N |
Means |
N |
Means |
N |
|
No Tutoring |
0.00 |
1215 |
0.00 |
959 |
0.00 |
1867 |
|
Tutoring |
3.69 |
230 |
3.32 |
141 |
5.28 |
387 |
|
Both Groups |
.59 |
1445 |
.43 |
1100 |
.91 |
2254 |
Chi-Square Analysis of Proportion of Students Failing to
Meet
State Standards in Fall 2004-2005 and Meeting State
Standards
in Spring 2004-2005 by Tutoring vs. No Tutoring
AIMS Reading 2004-2005
|
Group |
Spring 04-05 |
Row Totals | |
|
|
Met Standard |
Failed to meet Standard |
|
|
A no tutoring |
247 (35.0%) |
458 (65%) |
705 |
|
B tutoring |
87 (39.2%) |
135 (60.8%) |
222 |
|
Both Groups |
334 |
593 |
927 |
AIMS Writing 2004-2005
|
Group |
Spring 04-05 |
Row Totals | |
|
|
Met Standard |
Failed to meet Standard |
|
|
A no tutoring |
171 (32.0%) |
363 (68.0%) |
534 |
|
B tutoring |
66 (47.8%) |
72 (52.2%) |
138 |
|
Both Groups |
237 |
435 |
672 |
Chi-Square = 11.997; df = 1; p = .0005
AIMS Mathematics 2004-2005
|
Group |
Spring 04-05 |
Row Totals | |
|
|
Met Standard |
Failed to meet Standard |
|
|
A no tutoring |
587 (47.6%) |
646 (52.4%) |
1233 |
|
B tutoring |
265 (70.7%) |
110 (29.3%) |
375 |
|
Both Groups |
852 |
756 |
1608 |
Chi-Square = 61.38; df = 1; p = .0000
Demographic Breakout by Group
Reading
|
Gender |
Group |
Row Totals | |
|
No Tutoring |
Tutoring | ||
|
Male |
671 |
116 |
787 |
|
Row % |
85.26% |
14.74% |
54.46% |
|
Female |
544 |
114 |
658 |
|
Row % |
82.67% |
17.33% |
45.54% |
|
Both Genders |
1215 |
230 |
1445 |
|
Row % |
84.1% |
15.9% |
|
|
Lunch Group |
Group |
Row Totals | |
|
No Tutoring |
Tutoring | ||
|
Free |
55 |
17 |
72 |
|
Row % |
76.39% |
23.61% |
4.98% |
|
Reduced |
423 |
93 |
516 |
|
Row % |
81.98% |
18.02% |
35.71% |
|
Pay |
737 |
120 |
857 |
|
Row % |
86.00% |
14.00% |
59.31% |
|
All Lunch Groups |
1215 |
230 |
1445 |
|
Ethnicity |
Group |
Row Totals | |
|
No Tutoring |
Tutoring | ||
|
Hispanic |
777 |
139 |
916 |
|
Row % |
84.83% |
15.17% |
63.39% |
|
Native
American |
75 |
9 |
84 |
|
Row % |
89.29% |
10.71% |
5.81% |
|
White |
259 |
47 |
306 |
|
Row % |
84.64% |
15.36% |
21.18% |
|
African
American |
85 |
25 |
110 |
|
Row % |
77.27% |
22.73% |
7.61% |
|
Asian
American |
19 |
10 |
29 |
|
Row % |
65.52% |
34.48% |
2.01% |
|
All Ethnic Groups |
1215 |
230 |
1445 |
Writing
|
Gender |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Male |
584 |
85 |
669 |
|
Row % |
87.29% |
12.71% |
60.82% |
|
Female |
375 |
56 |
431 |
|
Row % |
87.01% |
12.99% |
39.18% |
|
Both Genders |
959 |
141 |
1100 |
|
Row % |
87.18% |
12.82% |
|
|
Lunch Group |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Free |
44 |
13 |
57 |
|
Row % |
77.19% |
22.81% |
5.18% |
|
Reduced |
327 |
53 |
380 |
|
Row % |
86.05% |
13.95% |
34.55% |
|
Pay |
588 |
75 |
663 |
|
Row % |
88.69% |
11.31% |
60.27% |
|
All Lunch Groups |
959 |
141 |
1100 |
|
Ethnicity |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Hispanic |
569 |
85 |
654 |
|
Row % |
87.00% |
13.00% |
59.45% |
|
Native
American |
59 |
4 |
63 |
|
Row % |
93.65% |
6.35% |
5.73% |
|
White |
257 |
34 |
291 |
|
Row % |
88.32% |
11.68% |
26.45% |
|
African
American |
61 |
12 |
73 |
|
Row % |
83.56% |
16.44% |
6.64% |
|
Asian
American |
13 |
6 |
19 |
|
Row % |
68.42% |
31.58% |
1.73% |
|
All Ethnic Groups |
959 |
141 |
1100 |
Mathematics
|
Gender |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Male |
689 |
149 |
838 |
|
Row % |
82.22% |
17.78% |
48.58% |
|
Female |
673 |
214 |
887 |
|
Row % |
75.87% |
24.13% |
51.42% |
|
Both Genders |
1362 |
363 |
1725 |
|
Row % |
78.96% |
21.04% |
|
|
Lunch Group |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Free |
88 |
19 |
107 |
|
Row % |
82.24% |
17.76% |
6.20% |
|
Reduced |
503 |
107 |
730 |
|
Row % |
82.46% |
17.54% |
42.3% |
|
Pay |
771 |
237 |
610 |
|
Row % |
76.49% |
23.51% |
35.36% |
|
All Lunch Groups |
1362 |
363 |
1725 |
Mathematics (continued)
|
Ethnicity |
Group |
Group Totals | |
|
No Tutoring |
Tutoring | ||
|
Hispanic |
824 |
184 |
1008 |
|
Row % |
81.75% |
18.25% |
58.43% |
|
Native
American |
68 |
9 |
77 |
|
Row % |
88.31% |
11.69% |
4.46% |
|
White |
343 |
136 |
479 |
|
Row % |
71.61% |
28.39% |
27.77% |
|
African
American |
105 |
29 |
134 |
|
Row % |
78.36% |
21.64% |
7.77% |
|
Asian
American |
22 |
5 |
27 |
|
Row % |
81.48% |
18.52% |
1.57% |
|
All Ethnic Groups |
1362 |
363 |
1725 |