Below you find the complete list of Tier-1-projects since the start of the regular project application programme.

4 Projects found Psychology

A Sample to Population Cross-Validation Approach to Assess the Robustness and Sensitivity of Pareto-optimal (PO) Selection Designs

Date: 01.12.2017
  • Promotor(s): Wilfried De Corte
  • Institution(s): UGent
  • Domain(s): Psychology
The validity/diversity dilemma constitutes the biggest threat to the practice of personnel selection because applicant pools are increasingly heterogeneous and the most valid pre-employment tests often show substantial mean group difference. To address the issue, methods have been proposed for designing selection systems that are Pareto-optimal (PO) and, hence, are expected to offer the best possible trade-off between the goals of selection quality and diversity. However, it is currently uncertain whether these systems live up to their promise in actual selection applications. Using simulation methods, the present project aims to resolve this uncertainty and to identify the key features that determine the practical performance of PO systems.

Targeting Key Features that Determine the Robustness and Sensitivity of Pareto-optimal (PO) Selection Designs

Date: 01.03.2017
  • Promotor(s): Wilfried De Corte
  • Institution(s): UGent
  • Domain(s): Mathematics , Psychology
The validity/diversity dilemma constitutes the biggest threat to the practice of personnel selection because applicant pools are increasingly heterogeneous and the most valid pre-employment tests often show substantial mean group difference. To address the issue, methods have been proposed for designing selection systems that are Pareto-optimal (PO) and, hence, are expected to offer the best possible trade-off between the goals of selection quality and diversity. However, it is currently uncertain whether these systems live up to their promise in actual selection applications. Using simulation methods, the present project aims to resolve this uncertainty and to identify the key features that determine the practical performance of PO systems.

Robustness and Sensitivity of Pareto-optimal Selection Designs under Various Types of Candidate Withdrawal

Date: 01.11.2016
  • Promotor(s): Wilfried De Corte
  • Institution(s): UGent
  • Domain(s): Psychology
The validity/diversity dilemma constitutes the biggest threat to the practice of personnel selection because applicant pools are increasingly heterogeneous and the most valid pre-employment tests often show substantial mean group difference. To address the issue, methods have been proposed for designing selection systems that are Pareto-optimal and, hence, are expected to offer the best possible trade-off between the goals of selection quality and diversity. However, it is currently uncertain whether these systems live up to their promise in actual selection applications where selected candidates may refuse job offers. Using simulation methods, the present project aims to resolve this uncertainty.

Robustness and Sensitivity of Pareto-optimal Selection Designs

Date: 01.03.2016
  • Promotor(s): Wilfried De Corte
  • Institution(s): UGent
  • Domain(s): Psychology
At present, the validity/diversity dilemma constitutes the biggest threat to the practice of personnel selection because applicant pools are increasingly heterogeneous and the most valid pre-employment tests often show substantial mean group differences related to ethnicity, cultural background a.s.o. To alleviate this dilemma, methods have been proposed for designing selection systems that are Pareto-optimal meaning that these systems are expected to offer the best possible trade-off between the goals of selection quality and diversity. However, it is currently uncertain whether these systems live up to their promise in actual selection applications. Using simulation and optimization methods, the present project aims to resolve this uncertainty.