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ACEF Journal Vol 3 Issue 1 December 2012

Yan violate an assumption of Chi-square test. The Chi-square test results revealed that the proportion of elementary schools experiencing under-enrollment in the next five years would not vary significantly by school characteristics, such as region and percentage of low-income students (all ps > .05). Table 2 Elementary School Building Utilization by School Characteristics School Under-Enrolled Enrollment within Over-Crowded Characteristics 25%+ 6-25% 5% of capacity 25%+ 6-25% n % n % n % n % n % Region West 41 70.7 12 20.7 3 5.2 2 3.4 0 0.0 Central 24 51.1 9 19.1 7 14.9 6 12.8 1 2.1 East 8 38.1 6 28.6 2 9.5 3 14.3 2 9.5 Percentage of low- income students Less than 20% 9 42.9 5 23.8 2 9.5 4 19.0 1 4.8 20-29% 15 44.1 10 29.4 6 17.6 2 5.9 1 2.9 30-39% 27 71.1 4 10.5 3 7.9 4 10.5 0 0.0 40% and above 22 66.7 8 24.2 1 3.0 1 3.0 1 3.0 Note: 1. “Under-enrolled” indicates that the capacity of the school buildings is greater than student enrollment by more than 5%. 2. “Over-crowded” indicates that the enrollment of the school is greater than the capacity of the school buildings by more than 5%. 3. Percentages are computed across each row, but may not total 100 when rounding. 4. “n” represents the numbers of school districts. Total number of school district is 126. Prediction of secondary school building needs. Percentage Distribution of Secondary School Building Utilization by School Characteristics is presented in Table 3. As shown in Table 3, the majority of rural secondary schools (82%) will experience severe under-enrollment, with enrollment at more than 25% below building capacity. To further examine the relationship between secondary school building needs and school characteristics, Chi-square tests were performed for rural secondary schools that will experience under-enrollment. Secondary schools that have enrollment within 5% of capacity or over crowded were not included in analysis, because the expected value of those schools are too small, which would violate an assumption of Chi-square test. The Chi-square test results revealed that the proportion of secondary schools experiencing under-enrollment in the next five years will differ somewhat by geographic region, 2(2, N = 119) = 7.26, p = .027. Approximately 90% of secondary schools in the West and more than 80% of secondary schools in Central Pennsylvania will be more likely to be severely under- enrolled. On the other hand, approximately 10% of secondary schools in the East will be more likely to be severely over-crowded (enrollments that will be more than 25% greater than their 29 Vol. 3, No. 1, 2012


ACEF Journal Vol 3 Issue 1 December 2012
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