benchmarks: Synthetic benchmark screening data

Description Usage Format

Description

Across the country many schools engage in seasonal benchmark screenings to monitor to progress of their students. These are relatively brief assessments administered to "check-in" on students' progress throughout the year. This dataset was simulated from a real dataset from one large school district using the terrific synthpop R package. Overall characteristics of the synthetic data are remarkably similar to the real data.

Usage

1

Format

A data frame with 10240 rows and 9 columns.

sid

Integer. Student identifier.

cohort

Integer. Identifies the cohort from which the student was sampled (1-3).

sped

Character. Special Education status: "Non-Sped" or "Sped"

ethnicity

Character. The race/ethnicity to which the student identified. Takes on one of seven values: "Am. Indian", "Asian", "Black", "Hispanic", "Native Am.", "Two or More", and "White"

frl

Character. Student's eligibility for free or reduced price lunch. Takes on the values "FRL" and "Non-FRL".

ell

Character. Students' English language learner status. Takes on one of values: "Active", "Monitor", and "Non-ELL". Students coded "Active" were actively receiving English language services at the time of testing. Students coded "Monitor" had previously received services, but not at the time of testing. Students coded "Non-ELL" did not receive services at any time.

season

Character. The season during which the assessment was administered: "Fall", "Winter", or "Spring"

reading

Integer. Reading scale score.

math

Integer. Mathematics scale score.


DJAnderson07/esvis documentation built on June 14, 2018, 7:06 a.m.