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2005 Illinois Middle School Identification Criteria
The table below highlights the grades and subjects that were in this analysis:
| Grade |
Year |
| 2003* |
2004* |
2005* |
| 7th Grade |
Science |
Science |
Science |
| 8th Grade |
Math Reading |
Math Reading |
Math Reading |
* All three years used ISAT state test data.
Performance Rate Used: An average of the percent meeting the standard and the percent exceeding the standard was used.2
The table below details the three areas of identification process issues:
- Data Components – the types of information preferred in the analysis;
- Model Specifications – the ways that schools are compared to one another, and;
- Criteria – the specific goals schools must meet to be considered high-performing.
| Data Components |
NCEA Model |
Illinois |
| Longitudinal Data |
If longitudinal data are available, the analysis; 1) only evaluates students who were continuously enrolled on the campus since the beginning of the campus' gradespan3, and; 2) splits the analysis of each tested grade and subject into two groups based on students' prior performance: those previously at or above a particular benchmark, and those previously below the benchmark the year before entering middle school.4 |
Longitudinal data were not available - snapshot data were used instead. |
| Consistent Performance |
To ensure that consistently high-performing schools are identified, three years of performance data are used. |
NCEA model applied. |
| Criterion Referenced Exams |
Criterion-Referenced Tests (CRTs) are strongly preferred to Norm-Referenced Tests (NRTs). |
NCEA model applied. |
| Measure of Performance |
When available, an average scale score is used as the measure of performance for each tested grade and subject in the analysis. When average scores are not available, performance rates (i.e. the percent Proficient for each tested grade and subject) is substituted. |
Average scale scores were not available, so percents of students meeting/exceeding the state standard were substituted. |
| Model Specifications
| NCEA Model
| Illinois
|
| Similar Schools |
For each tested grade and subject, and within each of the prior performance groups, schools are compared to one another based on a combination of demographic factors that include the schoolwide percentages of low income students, the enrollment of the school, the percent of all students that are in the prior performance group being analyzed, and several ethnicity percentages.4 A school's relative performance is the distance between their performance rate and the average performance rate of schools similar to them. This analysis is always adjusted for the number of students whose performance is being measured. |
The model used the following demographic factors to compare schools for each year, within each subject and grade: schoolwide percentages of low income, English Language Learners (ELL), African-American, Hispanic, and Asian students, the school enrollment, and a flag for whether the school was/was not considered a selective admission magnet school. |
| Rank Groups |
After calculating a campus' distance from the expected, it is ranked within one of four low income groups: those with 0-25% low income students on the campus, 25-50% low income students, 50-75% low income students, or 75-100% low income students. |
NCEA model applied. |
| Criteria
| NCEA Model
| Illinois
|
| Individual Performance Rank |
Each individual performance rank (representing an individual tested grade, subject and year in the analysis) must be at the 50th percentile or above.
LONGITUDINAL DATA: When longitudinal data are available, for middle school NCEA considers the performance of students who entered the school level below or above the standard separately. Because there are then two analyses for each test (i.e. the previously below standard 10th graders taking the math exam, and the previously above standard 10th graders taking the math exam), we have included an allowance for missing data due to too few students in one or the other of these groups within each test:
| Number of POSSIBLE ranks (# of tested grades x 3 years of data x 2 groups based on prior performance) |
Requirement |
| 0-6 |
Need to have at least 10 students in either the previously above or previously below standard group for each test analyzed |
| 7-12 |
Same as above, except in 2003 or 2004 school may have less than 10 students in both the previously above and previously below standard groups for no more than ONE test |
| 13-18 |
Same as above, except in 2003 or 2004 school may have less than 10 students in both the previously above and previously below standard groups for no more than TWO tests (one in 2003, one in 2004) |
| 19-27 |
Same as above, except in 2003 or 2004 school may have less than 10 students in both the previously above and previously below standard groups for no more than THREE tests (two in 2003, one in 2004) |
Once the above calculations are made, we look at the ACTUAL number of available ranks where there are at least 10 students and all available data. Using that number, we add the allowance for possible ranks below the 50th percentile:
| Number of ACTUAL ranks in 2003 and 2004 |
Number of these actual remaining ranks in 2003 and 2004 that are allowed to be lower than the 50th percentile |
| 1-5 |
0 |
| 6-9 |
1 |
| 10-13 |
2 (1 in 2003, 1 in 2004) |
| 14-18 |
3 (2 in 2003, 1 in 2004) |
SNAPSHOT DATA: For snapshot data, information on prior performance is not available, so the analysis only uses the table immediately above to allow for ranks below the 50th percentile.
|
NCEA model for snapshot data applied. |
| Overall Performance Rank |
The overall performance rank - which is a rank of the weighted average of all residuals (distances from expected performance) - must be among the top of similar schools. The required level - which depends on the number of ranks included in the analysis of the subject - ranges between 70 and 85.
FYI: The number of ranks included in the analysis of a subject at your school equals: the number of tested grades in the subject multiplied by the total number of years in the analysis (3) multiplied by the number of prior performance groups (only relevant for middle and high schools, where there are 2 groups).
Please note that this number of ranks is different than the number of ranks in the table under Individual Performance Rank, as that considers only the ranks from the first two years of the analysis, while this considers ranks across all three years.
| Number of ranks included in the analysis of this subject |
3-10 |
11-18 |
19-27 |
| Required Overall Performance Rank |
85+ |
80+ |
75+ |
|
NCEA model applied - an overall rank requirement of 85 or above was used. |
| Participation Rates and AYP Status |
In years and subjects where Adequate Yearly Progress (AYP) ratings are available, the school must meet AYP standards. In years or subjects (i.e. Writing) where AYP data are not available, at least 85% of the enrolled students had to be tested on their state's standardized exam. |
AYP data were available for 2003, 2004, and 2005 and checked in the Reading and Math analyses. Participation rates were not available. |
| Number of Students |
There must be at least 10 continuously enrolled students in each grade, subject, and year in the analysis. Please see the Individual Performance Rank section above for the few exceptions allowed to this rule. |
Longitudinal data were not available, so the number of tested students was substituted. |
| Opportunity Gaps |
In the most recent year included in the analysis, schools may not have any opportunity gaps below -15. The opportunity gaps are a central part of the main Just for the Kids school reports, and are the distance between your schools grade and subject level percent proficient on the exam and the percent proficient of the top comparable schools with similar demographics. Although these gaps are not calculated in exactly the same way as the high-performing analysis, and in most cases do not utilize the same measure of performance (opportunity gaps are based on proficiency rates while, when available, the high-performing analysis is based on average test scores), it is important to ensure that the identified schools seem appropriate under both models. |
NCEA model applied. |
1 In some rare circumstances, the gradespan of a middle school may include 5th grade, although it is not commonly included in the analysis. back
2 ((% at least meets the standard + % exceeds the standard) / 2) This works out to the equivalent of 1 point for every student that just meets the standard, and 2 points for every student able to exceed the standard. back
3 If a school did not have continuous enrollment due to their grade span configuration, continuous district enrollment was substituted. back
4 These factors may vary from state to state and based on the available data. back
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