Publication

A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection

Meijer, R. R., Neumann, M., Hemker, B. T. & Niessen, S., 23-Jan-2020, In : Frontiers in Psychology. 10, 8 p., 3002.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Meijer, R. R., Neumann, M., Hemker, B. T., & Niessen, S. (2020). A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection. Frontiers in Psychology, 10, [3002]. https://doi.org/10.3389/fpsyg.2019.03002

Author

Meijer, Rob R. ; Neumann, Marvin ; Hemker, B.T. ; Niessen, Susan. / A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection. In: Frontiers in Psychology. 2020 ; Vol. 10.

Harvard

Meijer, RR, Neumann, M, Hemker, BT & Niessen, S 2020, 'A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection', Frontiers in Psychology, vol. 10, 3002. https://doi.org/10.3389/fpsyg.2019.03002

Standard

A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection. / Meijer, Rob R.; Neumann, Marvin; Hemker, B.T.; Niessen, Susan.

In: Frontiers in Psychology, Vol. 10, 3002, 23.01.2020.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Meijer RR, Neumann M, Hemker BT, Niessen S. A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection. Frontiers in Psychology. 2020 Jan 23;10. 3002. https://doi.org/10.3389/fpsyg.2019.03002


BibTeX

@article{83eb120cbd134bffb178d128afdabb08,
title = "A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection",
abstract = "In decision-making, it is important not only to use the correct information but also to combine information in an optimal way. There are robust research findings that a mechanical combination of information for personnel and educational selection matches or outperforms a holistic combination of information. However, practitioners and policy makers seldom use mechanical combination for decision-making. One of the important conditions for scientific results to be used in practice and to be part of policy-making is that results are easily accessible. To increase the accessibility of mechanical judgment prediction procedures, we (1) explain in detail how mechanical combination procedures work, (2) provide examples to illustrate these procedures, and (3) discuss some limitations of mechanical decision-making.",
author = "Meijer, {Rob R.} and Marvin Neumann and B.T. Hemker and Susan Niessen",
note = "Copyright {\circledC} 2020 Meijer, Neumann, Hemker and Niessen.",
year = "2020",
month = "1",
day = "23",
doi = "10.3389/fpsyg.2019.03002",
language = "English",
volume = "10",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media SA",

}

RIS

TY - JOUR

T1 - A Tutorial on Mechanical Decision-Making for Personnel and Educational Selection

AU - Meijer, Rob R.

AU - Neumann, Marvin

AU - Hemker, B.T.

AU - Niessen, Susan

N1 - Copyright © 2020 Meijer, Neumann, Hemker and Niessen.

PY - 2020/1/23

Y1 - 2020/1/23

N2 - In decision-making, it is important not only to use the correct information but also to combine information in an optimal way. There are robust research findings that a mechanical combination of information for personnel and educational selection matches or outperforms a holistic combination of information. However, practitioners and policy makers seldom use mechanical combination for decision-making. One of the important conditions for scientific results to be used in practice and to be part of policy-making is that results are easily accessible. To increase the accessibility of mechanical judgment prediction procedures, we (1) explain in detail how mechanical combination procedures work, (2) provide examples to illustrate these procedures, and (3) discuss some limitations of mechanical decision-making.

AB - In decision-making, it is important not only to use the correct information but also to combine information in an optimal way. There are robust research findings that a mechanical combination of information for personnel and educational selection matches or outperforms a holistic combination of information. However, practitioners and policy makers seldom use mechanical combination for decision-making. One of the important conditions for scientific results to be used in practice and to be part of policy-making is that results are easily accessible. To increase the accessibility of mechanical judgment prediction procedures, we (1) explain in detail how mechanical combination procedures work, (2) provide examples to illustrate these procedures, and (3) discuss some limitations of mechanical decision-making.

U2 - 10.3389/fpsyg.2019.03002

DO - 10.3389/fpsyg.2019.03002

M3 - Article

C2 - 32038385

VL - 10

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

M1 - 3002

ER -

ID: 111443962