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Rafael Otero

Biographic Data

ID6752407
NAMERafael Otero
GIVEN NAMESRafael
FAMILY NAMEOtero
SIGNATUREOTERO R
AFFILIATIONSTexas Southmost College
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS11
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2007
H-INDEX1
  • Predicting Persistence of Hispanic Students in Their 1st Year of College

    Open Access•Rafael Otero, Olivia Rivas et al.•ARTICLE•Journal of Hispanic Higher…•2007•Cited by: 11•References: 2

    The authors used a logit model with partial derivatives to identify which demographic and academic variables are associated with 1st-year attrition and persistence of Hispanic students and to determine the extent to which these factors affect the students' decision to remain or leave the university. The model was able to correctly predict the students' decision to continue or leave the university for 4 of every 5 students participating in a progr…

  • Predicting Persistence of Hispanic Students in Their 1st Year of College

    Open Access•Rafael Otero, Olivia Rivas et al.•ARTICLE•Journal of Hispanic Higher…•2007•Cited by: 11•References: 2

    The authors used a logit model with partial derivatives to identify which demographic and academic variables are associated with 1st-year attrition and persistence of Hispanic students and to determine the extent to which these factors affect the students' decision to remain or leave the university. The model was able to correctly predict the students' decision to continue or leave the university for 4 of every 5 students participating in a progr…

  • Predicting Persistence of Hispanic Students in Their 1st Year of College

    Open Access•Rafael Otero, Olivia Rivas et al.•ARTICLE•Journal of Hispanic Higher…•2007•Cited by: 11•References: 2

    The authors used a logit model with partial derivatives to identify which demographic and academic variables are associated with 1st-year attrition and persistence of Hispanic students and to determine the extent to which these factors affect the students' decision to remain or leave the university. The model was able to correctly predict the students' decision to continue or leave the university for 4 of every 5 students participating in a progr…

Affect (linguistics (1 work) · Attrition (1 work) · Higher education (1 work) · Higher Education Research Studies (1 work) · Logistic regression (1 work) · Mathematics (1 work) · Mathematics education (1 work) · Medical education (1 work) · Medicine (1 work) · Persistence (discontinuity (1 work)

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