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This chapter provides a summary of the PhD dissertation. It describes the context and the problem of the project and explains the application of Signal Detection Theory (SDT) in student selection for university programs.

Context
The Psychology bachelor's program at Utrecht University became selective in 2014. Selection was based on more than just secondary school grades, including a work-sample week and psychosocial factors. Given the unilateral decision of universities to reject applicants, the institution has a responsibility to base these decisions on solid evidence. Current literature mostly reports regression analyses, which do not inform about specific cut-off scores required for success. SDT was explored to provide better guidance for these high-stakes decisions.

Problem
Study success (GPA, grades, timely graduation) is hard to predict. Decision-makers inevitably make mistakes: admitting students who fail (false alarms) or rejecting students who would have succeeded (misses). This dissertation aims to minimize these mistakes.

SDT in Student Selection
Each individual has potential for success, influenced by personal and environmental factors. SDT classifies students as hits, misses, false alarms, or correct rejections. At a group level, it informs about sensitivity and specificity. At an individual level, it helps determine which instrument and criterion would correctly or incorrectly admit a specific person.

Research Overview
Chapter 2 showed that work-sample grades and psychosocial scores are more valuable predictors than regression suggest. Chapter 3 found that using multiple tools (grades, tests, psychosocial scores) increases accuracy, with combined tools performing best. Chapter 4 demonstrated that pre-program predictors remain stable across the entire bachelor's program, though first-year grades are the best predictor for subsequent years. Chapter 5 redefines 'non-cognitive' factors into five psychosocial clusters aligned with positive psychology: Personality, Curiosity & Creativity, Communication, Motivation, and Coping/Self-regulation.

Conclusion
Selection accuracy is imperfect; misses are inevitable if not everyone is admitted. SDT is a highly informative tool for monitoring selection quality. Success is a joint adventure between students and teachers. Three recommendations are made: 1) Use SDT to monitor selection quality; 2) Develop work-samples to inform student self-selection; 3) Encourage students and teachers to step out of their comfort zones into 'magic zones' where learning is central.

Looking Forward
SDT is easy to implement (e.g., in Excel). Institutions should collaborate to better understand selection factors. Education is a discovery journey where diplomas are informative starting points rather than guarantees.