Publication

Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores

Tendeiro, J. N., Niessen, A. S. M., Crisan, D. R. & Meijer, R. R., 2019, (Accepted/In press)

Research output: Book/ReportReportProfessional

APA

Tendeiro, J. N., Niessen, A. S. M., Crisan, D. R., & Meijer, R. R. (Accepted/In press). Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores.

Author

Tendeiro, Jorge N. ; Niessen, A. Susan M. ; Crisan, Daniela R. ; Meijer, Rob R. / Predicting Future Academic Success : How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores. 2019.

Harvard

Tendeiro, JN, Niessen, ASM, Crisan, DR & Meijer, RR 2019, Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores.

Standard

Predicting Future Academic Success : How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores. / Tendeiro, Jorge N.; Niessen, A. Susan M.; Crisan, Daniela R.; Meijer, Rob R.

2019.

Research output: Book/ReportReportProfessional

Vancouver

Tendeiro JN, Niessen ASM, Crisan DR, Meijer RR. Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores. 2019.


BibTeX

@book{89d4e4bf2bfa47cc8d8060a3561bed43,
title = "Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores",
abstract = "The aim of this study was twofold: First, we investigated whether scores on an admission test administered in proctored and unproctored environments led to similar predictions of future academic success. Second, we explored how Bayesian modeling can be of help in interpreting admission-testing data. Results showed that the two modes of administering an admission test did not require the use of different models for predicting academic success, and that Bayesian modeling provides a very useful and easy-to-interpret framework for predicting future academic success.",
author = "Tendeiro, {Jorge N.} and Niessen, {A. Susan M.} and Crisan, {Daniela R.} and Meijer, {Rob R.}",
year = "2019",
language = "English",

}

RIS

TY - BOOK

T1 - Predicting Future Academic Success

T2 - How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores

AU - Tendeiro, Jorge N.

AU - Niessen, A. Susan M.

AU - Crisan, Daniela R.

AU - Meijer, Rob R.

PY - 2019

Y1 - 2019

N2 - The aim of this study was twofold: First, we investigated whether scores on an admission test administered in proctored and unproctored environments led to similar predictions of future academic success. Second, we explored how Bayesian modeling can be of help in interpreting admission-testing data. Results showed that the two modes of administering an admission test did not require the use of different models for predicting academic success, and that Bayesian modeling provides a very useful and easy-to-interpret framework for predicting future academic success.

AB - The aim of this study was twofold: First, we investigated whether scores on an admission test administered in proctored and unproctored environments led to similar predictions of future academic success. Second, we explored how Bayesian modeling can be of help in interpreting admission-testing data. Results showed that the two modes of administering an admission test did not require the use of different models for predicting academic success, and that Bayesian modeling provides a very useful and easy-to-interpret framework for predicting future academic success.

M3 - Report

BT - Predicting Future Academic Success

ER -

ID: 76709287