rawCCD

A pre-processed dataset containing key variables from administrative data compiled by the CCD, aggregated at 
the district and school level for public schools in California for the 2017 and 2018 school years.

datasets

Carries out a two-level sample selection where the possibility of an initially selected site not wanting to participate is anticipated, and the site is optimally replaced. The procedure aims to reduce bias (and/or loss of external validity) with respect to the target population. In selecting units and sub-units, 'sitepickR' uses the cube method developed by 'Deville & Tillé', (2004) <http://www.math.helsinki.fi/msm/banocoss/Deville_Tille_2004.pdf> and described in Tillé (2011) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2011002/article/11609-eng.pdf?st=5-sx8Q8n>. The cube method is a probability sampling method that is designed to satisfy criteria for balance between the sample and the population. Recent research has shown that this method performs well in simulations for studies of educational programs (see Fay & Olsen (2021, under review). To implement the cube method, 'sitepickR' uses the sampling R package <https://cran.r-project.org/package=sampling>. To implement statistical matching, 'sitepickR' uses the 'MatchIt' R package <https://cran.r-project.org/package=MatchIt>.

Elena Badillo-Goicoechea

sitepickR

Two-Level Sample Selection with Optimal Site Replacement

Robert Olsen

Elizabeth Stuart

rawCCD function

A data frame with 1890 rows and 11 variables.<dl>
 <dt>LEAID</dt>
<dd>school district unique identifier</dd> <dt>NCESSCH</dt>
<dd>school unique identifier</dd> <dt>w.pct.frlunch</dt>
<dd>percentage of students in the school district who are under free/reduced price lunch program; weighted by school size.</dd> <dt>w.pct.black</dt>
<dd>percentage of students in the school district who are Black; weighted by school size.</dd> <dt>w.pct.hisp</dt>
<dd>percentage of students in the school district who are Hispanic; weighted by school size.</dd> <dt>w.pct.female</dt>
<dd>percentage of students in the school district who are female; weighted by school size.</dd> <dt>sch.pct.frlunch</dt>
<dd>percentage of students in the school who are under free/reduced price lunch program.</dd> <dt>sch.pct.black</dt>
<dd>percentage of students in the school who are Black.</dd> <dt>sch.pct.hisp</dt>
<dd>percentage of students in the school who are Hispanic.</dd> <dt>sch.pct.female</dt>
<dd>percentage of students in the school who are female.</dd> <dt>distr.type</dt>
<dd>school district type (constructed for illustration purposes; (values="A", "B", "C", "D")).</dd> <dt>dtrct_size</dt>
<dd>number of schools in the district</dd>
</dl>

Format

Common Core of Data (CCD) data for California schools (2017-18). — rawCCD

A data frame with 1890 rows and 11 variables.<dl>
 <dt>LEAID</dt>
<dd>school district unique identifier</dd>

 <dt>NCESSCH</dt>
<dd>school unique identifier</dd>

 <dt>w.pct.frlunch</dt>
<dd>percentage of students in the school district who are under free/reduced price lunch program; weighted by school size.</dd>

 <dt>w.pct.black</dt>
<dd>percentage of students in the school district who are Black; weighted by school size.</dd>

 <dt>w.pct.hisp</dt>
<dd>percentage of students in the school district who are Hispanic; weighted by school size.</dd>

 <dt>w.pct.female</dt>
<dd>percentage of students in the school district who are female; weighted by school size.</dd>

 <dt>sch.pct.frlunch</dt>
<dd>percentage of students in the school who are under free/reduced price lunch program.</dd>

 <dt>sch.pct.black</dt>
<dd>percentage of students in the school who are Black.</dd>

 <dt>sch.pct.hisp</dt>
<dd>percentage of students in the school who are Hispanic.</dd>

 <dt>sch.pct.female</dt>
<dd>percentage of students in the school who are female.</dd>

 <dt>distr.type</dt>
<dd>school district type (constructed for illustration purposes; (values="A", "B", "C", "D")).</dd>

 <dt>dtrct_size</dt>
<dd>number of schools in the district</dd>


</dl>

rawCCD: Common Core of Data (CCD) data for California schools (2017-18).

Description

Usage

Arguments

Format