sgpData: Longitudinal Student Assessment Data

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

Longitudinal Student Assessment Data

Description

A dataset comprising a subset of five years of state assessment reading data suitable for student growth percentile and percentile growth projection/trajectory analyses. The dataset is used in examples provided in the documentation for the studentGrowthPercentiles and
studentGrowthProjections functions, and serves as an exemplar for user construction of their own datasets for growth percentile analyses.

Format

A data frame of student level observations for five years on the following variables.

ID

Student ID

GRADE_2019

Student Grade Tested 2019, possibly missing

GRADE_2020

Student Grade Tested 2020, possibly missing

GRADE_2021

Student Grade Tested 2021, possibly missing

GRADE_2022

Student Grade Tested 2022, possibly missing

GRADE_2023

Student Grade Tested 2023, possibly missing

SS_2019

Student Scale Score 2019, possibly missing

SS_2020

Student Scale Score 2020, possibly missing

SS_2021

Student Scale Score 2021, possibly missing

SS_2022

Student Scale Score 2022, possibly missing

SS_2023

Student Scale Score 2023, possibly missing

Note

All datasets used with studentGrowthPercentiles and studentGrowthProjections must be specifically formatted as wide format files. The first variable/column is the student ID variable. The next set of columns provide the grade of the student across all the years provided in the dataset (possibly missing). The last set of columns provide the scales scores of the student in the respective grades. Multi-year operational analyses benefit from putting data in long format. See sgpData_LONG and associated documentation for a comprehensive account.

Source

Anonymized student level state assessment data

See Also

sgpData_LONG

CenterForAssessment/SGPdata documentation built on Oct. 27, 2023, 12:17 p.m.