Predicting University Enrollment for Confirmed and Non-Confirmed Admitted Undergraduate University Students

Autor: Samantha Estrada
Rok vydání: 2021
DOI: 10.31219/osf.io/xahsk
Popis: There is a wealth of literature on nonresponse bias, as well as sampling weights and other methods of assessing for survey nonresponse; however, there is little research in an applied setting such as higher education. Surveys administered to non-enrolled admitted students suffer from nonresponse; specifically, students who are not planning to enroll at a certain institution may be less likely to respond to the survey. In order to fill a gap in the literature, this study uses data from a higher education institution that utilizes the Confirmed and Regretted Admitted Students Questionnaire (CRASQ) to examine the effects of using sampling weights to correct for nonresponse biased.
Databáze: OpenAIRE