eduResearchR is an R package designed to facilitate
access to a curated collection of 15 educational and social science
datasets, ready for research and statistical analysis.
This package provides a standardized structure for loading and exploring research data, enabling students and professionals to focus on quantitative analysis without the need for complex preprocessing.
You can install the development version of the package with the following command in R:
devtools::install_github("jlmarmanillo-jlms/eduResearchR", build_vignettes = TRUE)Once installed, load the package and any available dataset:
library(eduResearchR)
data("STARplus")
head(STARplus)To consult the detailed methodological guide of the package, run:
vignette("intro-eduResearchR", package = "eduResearchR")Jorge Luis Marmanillo Santana
M.Sc. in Educational Informatics
The 15 datasets included in
eduResearchR have been curated and
organized from standard R packages to facilitate educational research
and applied statistical analysis:
apipop.rda: Academic Performance Index student and
school-level dataset.CASchools.rda: California Test Score Data for school
districts.classroom.rda: Classroom-level data on student
achievement and instruction.collegeDistance.rda: High School and Beyond dataset on
higher education accessibility.EducationLiteracy.rda: Cross-national indicators of
educational literacy and attainment.ExamScores.rda: Student examination scores and
performance metrics.FirstYearGPA.rda: First-year college GPA and academic
predictor variables.MathAchieve.rda: Mathematics achievement scores from
high school students.NELS.rda: National Education Longitudinal Study (NELS)
of 1988 dataset on school effectiveness.pisausa.rda: Program for International Student
Assessment (PISA) data for the United States.school.rda: Institutional indicators and structural
school characteristics.schoolProgram.rda: Evaluation data on school academic
programs and interventions.schools.rda: Census and demographic data across primary
and secondary schools.STARplus.rda: STAR project dataset on class size
reduction and student achievement with non-experimental controls.STUDENT.rda: Student-level demographic and academic
performance records.