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EdSurvey: An R Package to Analyze Large-Scale Educational Assessments Data from NCES

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Title: EdSurvey: An R Package to Analyze Large-Scale Educational Assessments Data from NCES
Language: English
Authors: Ting Zhang, Paul Bailey (ORCID 0000-0003-0989-8729), Yuqi Liao, Emmanuel Sikali
Source: Large-scale Assessments in Education. 2024 12.
Availability: 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://link.springer.com/
Peer Reviewed: Y
Page Count: 29
Publication Date: 2024
Sponsoring Agency: Department of Education (ED)
Contract Number: EDIES12D0002/0004
91990022C0053
91990023D0006/91990023F0350
Document Type: Journal Articles
Reports - Descriptive
Education Level: High Schools
Secondary Education
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
Assessment and Survey Identifiers: National Assessment of Educational Progress
DOI: 10.1186/s40536-024-00222-x
ISSN: 2196-0739
Abstract: 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.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1451483
Database: ERIC
FullText Text:
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  Data: 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://link.springer.com/
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  Data: 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.
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