Peer reviewed
Direct linkERIC Number: EJ1451483
Record Type: Journal
Publication Date: 2024
Pages: 29
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2196-0739
EdSurvey: An R Package to Analyze Large-Scale Educational Assessments Data from NCES
Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali
Large-scale Assessments in Education, v12 Article 41 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context of the 2019 National Assessment of Educational Progress (NAEP) High School Transcript Study.
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity, Sampling, Weighted Scores, Predictor Variables, High School Students, Student Records, Computer Software Evaluation, Computer Software Selection
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Descriptive
Education Level: High Schools; Secondary Education
Audience: N/A
Language: English
Sponsor: Department of Education (ED)
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Assessment of Educational Progress
Grant or Contract Numbers: EDIES12D0002/0004; 91990022C0053; 91990023D0006/91990023F0350
