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Sample Design → NAEP 2010 Sample Design → 2010 Public School Sample → Sampling of Public Schools for the 2010 Assessment

NAEP Technical DocumentationSampling of Public Schools for the 2010 Assessment

In the design of each school sample, five objectives underlie the process of determining the probability of selection for each school and the number of students to be sampled from each selected school containing grade-eligible students. The five objectives are

  • to meet the target student sample size;

  • to select an equal-probability sample of students;

  • to limit the number of students that are selected from a school;

  • to ensure that the sample within a school does not include a very high percentage of the students in the school, unless all students are included; and

  • to reduce the rate of sampling of small schools, in recognition of the greater cost and burden per student of conducting assessments in such schools.

The goal in determining the school's measure of size is to optimize across the last four objectives in terms of maintaining the accuracy of estimates and the cost-effectiveness of the sample design.

Therefore, to meet the target student sample size objective and achieve a reasonable compromise among the other four objectives, the following algorithm was used to assign a measure of size to each school based on its estimated grade enrollment as indicated on the sampling frame. 

The measures of size vary by enrollment size and grade. The initial measures of size (MOS) were set as follows:

For fourth grade

MOS subscript js = PSU_WT subscript s times bracket 4 rows. Row 1 = X subscript js, if 170 is less than X subscript js. Row 2 = 170, if 20 is less than X subscript js and less than or equal to 150. Row 3 = 7.5 times X subscript js, if 5 is less than X subscript js and less than or equal to 20. Row 4 = 37.5, if X subscript js is less than or equal to 5

For eighth and twelfth grades

MOS subscript js = PSU_WT subscript s times bracket 4 rows. Row 1 = X subscript js, if 110 is less than X subscript js. Row 2 = 110, if 20 is less than X subscript js and less than or equal to 100. Row 3 = 5 times X subscript js, if 5 is less than X subscript js and less than or equal to 20. Row 4 = 25, if X subscript js is less than or equal to 5

where xjs is the estimated grade enrollment for grade j in school s, and PSU_WTs is the PSU weight for school s.

A school with more than 15 percent Black and Hispanic students and at least 10 percent Black or Hispanic students in the sample grade is in the high Black/Hispanic stratum for NAEP. The measures of size for schools in the high Black/Hispanic stratum are doubled to increase their chances of selection:

M subscript js equals bracket 2 rows. Row 1 equals 2 times MOS subscript js if school is in the high Black/Hispanic stratum. Row 2 equals MOS subscript js if school is not in the high Black/Hispanic stratum

The next task in this development is to describe bj, the constant of proportionality for each grade. It is a sampling parameter that, when multiplied with a school’s preliminary measure of size (Mjs), yields the school’s final measure of size. It is computed in such a way that, when used with the systematic sampling procedure, the target student sample size is achieved. For public schools, bj is 0.000041653 for fourth grade, 0.000062716 for eighth grade, and 0.000086799 for twelfth grade.

The final measure of size, Ejs, is defined as:

E subscript js equals min left parenthesis b subscript j times M subscript js comma u subscript j right parenthesis      

The quantity uj (the maximum number of “hits” allowed) in this formula is designed to put an upper bound on the burden for the sampled schools. For public schools, uj is 1.

For the NAEP 2010 samples, by design a school could not be selected, or "hit," in the sampling process more than once within a grade. In addition, an adjustment was made to the initial measures of size in the sample to attempt to reduce school burden by minimizing the number of schools selected for simultaneous administration of both the operational assessments and the High School Longitudinal Study of 2009 (HSLS:09). The NAEP 2010 studies used an adaptation of the Keyfitz process to compute conditional measures of size that, by their design, minimized the overlap of schools selected for both the NAEP operational assessments and the HSLS:09.

Schools were ordered within each jurisdiction using the serpentine sort described under the stratification of public schools. A systematic sample was then drawn using this serpentine-sorted list and the measures of size. The number of public schools selected was approximately, 490, 450, and 530 for fourth, eighth, and twelfth grades, respectively.


Last updated 25 April 2011 (EH)