Table of Contents | Search Technical Documentation | References
The purpose of school stratification is to increase the efficiency and ensure the representativeness of school samples in terms of important school-level characteristics, such as geography (e.g., census region), urbanicity, and race/ethnicity composition. NAEP school sampling utilizes two types of stratification: explicit and implicit.
Explicit stratification partitions the sampling frame into mutually exclusive groupings called strata. The systematic samples selected from these strata are independent, meaning that each sample is selected with its own unique random start. Implicit stratification involves sorting the sampling frame, as opposed to grouping the frame. For NAEP, schools are sorted in serpentine fashion by key school characteristics within sampling strata and sampled systematically using this ordering. This type of stratification ensures the representativeness of the school samples with respect to the key school characteristics.
Explicit stratification for the NAEP 2019 private school samples for mathematics and reading at grades 4 and 8 was by private school type: Catholic, non-Catholic, and unknown affiliation. Private school affiliation was unknown for schools that were nonrespondents to the NCES Private School Universe Survey (PSS) for the past three cycles.
The implicit stratification of the schools involved four dimensions. Within each explicit stratum, the private schools were hierarchically sorted by census region, urbanicity classification, race/ethnicity classification, and estimated grade enrollment. The implicit stratification in this four-fold hierarchical stratification was achieved via a "serpentine sort."
Census region was used as the first level of implicit stratification for the NAEP 2019 private school sample for mathematics and reading. All four census regions were used as strata.
The next level of stratification was an urbanicity classification based on
urban-centric locale, as specified on the PSS. Within a census region-based stratum, urban-centric locale cells that were too small were collapsed. The criterion for adequacy was that the cell had to have an expected school sample size of at least six. The urbanicity variable was equal to the original urban-centric locale if no collapsing was necessary to cover an inadequate original cell. If collapsing was necessary, the scheme was to first collapse within the four major strata (city, suburbs, town, and rural). For example, if the expected number of large city schools sampled was less than six, large city was collapsed with midsize city. If the collapsed cell was still inadequate, they were further collapsed with small city. If a major stratum cell (all three cells collapsed together) was still deficient, it was collapsed with a neighboring major stratum cell. For example, city would be collapsed with suburbs.
The last stage of stratification was a division of the geographic/urbanicity strata into race/ethnicity strata if the expected number of schools sampled was large enough (i.e., at least equal to 12). This was done by deciding first on the number of race/ethnicity strata and then dividing the geography/urbanicity stratum into that many pieces. The school frame was sorted by the percentage of students in each school who were Black, Hispanic, or American Indian. The three racial/ethnic groups defining the race/ethnicity strata were those that have historically performed substantially lower on NAEP assessments than White students. The sorted list was then divided into pieces, with roughly an equal expected number of sampled schools in each piece.
Finally, schools were sorted within stratification cells by estimated grade enrollment.