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pro vyhledávání: '"Matthew W. Ohl"'
Autor:
Susan M. Lord, Marisa K. Orr, Matthew W. Ohl, Russell A. Long, Nichole Ramirez, Richard A. Layton
Publikováno v:
FIE
This workshop introduces data and tools for investigating undergraduate persistence metrics using R. Student record data are from MIDFIELD, a database of registrars’ data from US institutions. The stratified data sample includes demographic, term,
Autor:
Eric Leonardo Huerta-Manzanilla, Matthew W. Ohland, Manuel Toledano-Ayala, Juan Carlos Jáuregui-Correa
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107509- (2021)
This article describes the data related to co-enrollment density (CD), a new network clustering index, that can predict persistence and graduation. The data hold the raw results and charts obtained with the algorithm for CD introduced in ``Co-Enrollm
Externí odkaz:
https://doaj.org/article/fd6887e6b6a243c281cd0cbb21a3ee95