ERIC Number: EJ1435962
Record Type: Journal
Publication Date: 2024-Sep
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1598-1037
EISSN: EISSN-1876-407X
Quasi-Experimental Designs for Causal Inference: An Overview
Heining Cham; Hyunjung Lee; Igor Migunov
Asia Pacific Education Review, v25 n3 p611-627 2024
The randomized control trial (RCT) is the primary experimental design in education research due to its strong internal validity for causal inference. However, in situations where RCTs are not feasible or ethical, quasi-experiments are alternatives to establish causal inference. This paper serves as an introduction to several quasi-experimental designs: regression discontinuity design, difference-in-differences analysis, interrupted time series design, instrumental variable analysis, and propensity score analysis with examples in education research.
Descriptors: Causal Models, Educational Research, Quasiexperimental Design, Research Design, Pretests Posttests, Control Groups, Intervention, Computation, Statistical Analysis
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: N/A
Audience: N/A
Language: English
Sponsor: National Institute on Aging (NIA) (DHHS/NIH); National Institute on Minority Health and Health Disparities (NIMHD) (DHHS/NIH); National Institute of Mental Health (NIMH) (DHHS/NIH)
Authoring Institution: N/A
Grant or Contract Numbers: R01AG065110; R01MD015763; R01MD015715; R21MH124902