| Title: | A Collection of Educational Datasets for Research and Statistical Analysis |
|---|---|
| Description: | Curates a comprehensive and robust collection of 15 classic educational, economic, and social science datasets meticulously tailored for empirical research, project-based learning, and academic instruction in higher education. It streamlines exploratory data analysis, business intelligence modeling, regression techniques, and hypothesis testing by providing ready-to-use data structures sourced from prominent community packages (Kleiber and Zeileis (2008) <https://CRAN.R-project.org/package=AER>; Fox and Weisberg (2019) <https://CRAN.R-project.org/package=carData>). |
| Authors: | Jorge Luis Marmanillo Santana [aut, cre] (ORCID: <https://orcid.org/0009-0003-4485-0744>), Christian Kleiber [ctb] (Author of the AER package; original source for CASchools and CollegeDistance.), John Fox [ctb] (Author of the carData package; original source for EducationLiteracy, ExamScores, and FirstYearGPA.), Douglas Bates [ctb] (Author of the MEMSS package; original source for MathAchieve.), Thomas Lumley [ctb] (Author of the survey package; original source for apipop.), Jeremy Finn [ctb] (Principal investigator; original source for STARplus (Project STAR).), Andrew Raudenbush [ctb] (Researcher; original source for the classroom dataset.) |
| Maintainer: | Jorge Luis Marmanillo Santana <[email protected]> |
| License: | GPL-3 |
| Version: | 0.1.0 |
| Built: | 2026-10-03 10:49:36 UTC |
| Source: | https://github.com/jlmarmanillo-jlms/eduresearchr |
Student performance in california schools.
apipopapipop
Data frame: 6,194 rows, 37 variables.
Academic Performance Index, provided via the survey package (Thomas Lumley).
data(apipop) head(apipop)data(apipop) head(apipop)
California test score data.
CASchoolsCASchools
Data frame with district-level educational data.
Extracted from the AER package (Christian Kleiber & Achim Zeileis), based on Stock and Watson.
data(CASchools) head(CASchools)data(CASchools) head(CASchools)
classroom data in Chapter 4 of the study of Instructional Improvement.
classroomclassroom
Data frame: 1,190 rows, 12 variables.
Study of Instructional Improvement, research contributor Andrew Raudenbush.
data(classroom) head(classroom)data(classroom) head(classroom)
Data on high school seniors and college attendance decisions.
CollegeDistanceCollegeDistance
Data frame with student-level educational and economic variables.
Econometric data source via the AER package (James H. Stock).
data(CollegeDistance) head(CollegeDistance)data(CollegeDistance) head(CollegeDistance)
Education and literacy survey metrics.
EducationLiteracyEducationLiteracy
Data frame with social science indicators.
Extracted from the carData package (John Fox).
data(EducationLiteracy) head(EducationLiteracy)data(EducationLiteracy) head(EducationLiteracy)
Student exam performance metrics.
ExamScoresExamScores
Data frame with academic scores and variables.
Extracted from the carData package (John Fox).
data(ExamScores) head(ExamScores)data(ExamScores) head(ExamScores)
Academic performance data tracking first year university GPA.
FirstYearGPAFirstYearGPA
Data frame with student performance metrics.
Extracted from the carData package (John Fox).
data(FirstYearGPA) head(FirstYearGPA)data(FirstYearGPA) head(FirstYearGPA)
Mathematics achievement scores.
MathAchieveMathAchieve
Data frame: 7,185 rows, 6 variables.
High School and Beyond study, processed via the MEMSS package (Douglas Bates).
data(MathAchieve) head(MathAchieve)data(MathAchieve) head(MathAchieve)
National Education Longitudinal study (NELS) of 1988.
NELSNELS
Data frame: 500 rows, 48 variables.
National Center for Education Statistics (NCES).
data(NELS) head(NELS)data(NELS) head(NELS)
International student assessment data for the USA.
pisausapisausa
Data frame with assessment scores and demographics.
OECD Programme for International Student Assessment (PISA).
data(pisausa) head(pisausa)data(pisausa) head(pisausa)
Institutional metrics and school performance indicators.
schoolschool
Data frame with institutional data.
U.S. Department of Education (College Scorecard metrics).
data(school) head(school)data(school) head(school)
Educational programs and institutional offerings data.
schoolProgramschoolProgram
Data frame with program characteristics.
U.S. Department of Education.
data(schoolProgram) head(schoolProgram)data(schoolProgram) head(schoolProgram)
Schools data set (NELS-88) for multilevel modeling.
schoolsschools
Data frame: 260 rows, 19 variables.
Schools and Staffing Survey (SASS) / NCES.
data(schools) head(schools)data(schools) head(schools)
STAR participants plus nonexperimental controls.
STARplusSTARplus
Data frame: 13,381 rows, 56 variables.
Project STAR, primary investigator Jeremy Finn.
data(STARplus) head(STARplus)data(STARplus) head(STARplus)
Student survey metrics and statistics.
STUDENTSTUDENT
Data frame with applied statistics subsets.
OpenIntro Statistics educational data repository.
data(STUDENT) head(STUDENT)data(STUDENT) head(STUDENT)