sgptData_LONG: Longitudinal Student Assessment Data in LONG format with DATE...

In SGPdata: Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses

Longitudinal Student Assessment Data in LONG format with DATE for SGPt analyses.

Description

A dataset comprising a subset of 3 years (and time periods) of interim assessment early literacy, reading and mathematics data suitable for time dependent student growth percentile (SGPt) and percentile growth projection/trajectory analyses. The dataset is in LONG format with each record representing a unique student, by year/time period by content area combination. The example data is used in examples and illustrations in the enclosed documentation to show how SGPts can be operationalized across years with the results being used to produce a variety of high quality visualizations both at the aggregate (e.g., school) and individual level.

Format

A data frame of student level observations for five years and two content areas for the following variables.

COUNTRY

Variable indicating the COUNTRY associated with test record.

STATE

State associated with the test record.

VALID_CASE

VALID_CASE variable.

CONTENT_AREA

Variable indicating content area associated with test record.

YEAR

Variable indicating the year associated with the test record.

DATE

Variable indicating the year associated with the test record: Must be in YYYY-MM-DD format.

ID

Unique student identifier associated with test record.

GRADE

Variable indicating the grade associated with the test record.

SCALE_SCORE

Variable providing the scale score associated with the test record.

SCALE_SCORE_RASCH

Variable providing the Rasch score associated with the test record.

SEM

Variable indicating the standard error of measurement associated with the scale score.

ACHIEVEMENT_LEVEL

Variable indicating the achievement level associated with the scale score.

Source

Anonymized student level interim assessment data in LONG format

See Also

sgpData_LONG

SGPdata documentation built on Oct. 18, 2023, 5:10 p.m.