We test predictions from theories of tournament, fairness and tastes for skewness about the effects of pay spread and skewness on employee effort and firm productivity. The data come from the population of 6,501 medium-to-large sized Danish private sector firms matched with all their employees during 1992-95. Potential simultaneity problems are addressed by instrumental variables provided by in...

This study investigates the impact of different types of electronic warnings during a simulated job application assessment. Results indicated that negatively worded warnings and accusations worked better than positively worded warnings at blunting faking. Although there was some evidence that test-takers engaging in higher levels of faking heeded warnings more, warnings tended to decrease score...

The test of relational reasoning (TORR) is designed to assess the ability to identify complex patterns within visuospatial stimuli. The TORR is designed for use in school and university settings, and therefore, its measurement invariance across diverse groups is critical. In this investigation, a large sample, representative of a major university on key demographic variables, was collected, and...

Abstract We propose a method for certifying the fairness of classification result widely used supervised learning algorithm, k -nearest neighbors (KNN), under assumption that training data may have historical bias caused by systematic mislabeling samples from protected minority group. To best our knowledge, this is first certification KNN based on three variants definition: individual fairness,...

Engineering projects frequently involve the cooperation of multiple stakeholders with varying objectives and preferences for the resulting system. Finding a mutually agreeable solution is of paramount importance in order to assure the successful completion of these projects, particularly when different stakeholders are splitting the costs because none can afford to finance the project on their ...

Accuracy and individual fairness are both crucial for trustworthy machine learning, but these two aspects often incompatible with each other so that enhancing one aspect may sacrifice the inevitably side effects of true bias or false fairness. We propose in this paper a new criterion, accurate fairness, to align accuracy. Informally, it requires treatments an individual's similar counterparts c...

Resource allocation techniques have recently appeared as a widely recognized feature in LTE networks. Most of existing approaches in resource allocation focus on maximizing network’s utility functions. The great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (MOS) indexes has attracted large efforts over the last few years. In this p...

Acceptability is a required quality for a sound assessment. For students, acceptability of a test is strongly influenced by perception of fairness. Computer-based assessment has been reported to be preferred by students provided that strict controls to prevent cheating are in place. This may be difficult to achieve as e-assessments are often taken in learning environments where computer screens...