ERIC Number: ED602713
Record Type: Non-Journal
Publication Date: 2019
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-
EISSN: N/A
Available Date: N/A
Improved Generalizability through Improved Recruitment: Lessons Learned from a Large-Scale Randomized Trial
Tipton, Elizabeth; Matlen, Bryan J.
Grantee Submission, American Journal of Evaluation v40 n3 p414-430 2019
Randomized control trials (RCTs) have long been considered the "gold standard" for evaluating the impacts of interventions. However, in most education RCTs, the sample of schools included is recruited based on convenience, potentially compromising a study's ability to generalize to an intended population. An alternative approach is to recruit schools using a stratified recruitment method developed by Tipton. Until now, however, there has been limited information available about how to implement this approach in the field. In this article, we concretely illustrate each step of the stratified recruitment method in an evaluation of a college-level developmental algebra intervention. We reflect on the implementation of this process and conclude with five on-the-ground lessons regarding how to best implement this recruitment method in future studies. [This article was published in "American Journal of Evaluation" (EJ1223949).]
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education; Two Year Colleges
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
Identifiers - Location: California
IES Funded: Yes
Grant or Contract Numbers: R305A140340
Author Affiliations: N/A