The selection of bank management trainees: a validation study

Twelve studies of psychometric prediction using cognitive ability tests with upper level managerial samples are summarized. Of these, only two yield essentially positive results. Meyer (1956) found·a correlation of .27 between Wonderlic scores and overall ratings of 142 supervisors. However, since the raters were free to examine predictor-scores while making their ratings, there is strong evidence that the criterion was contaminated. In an unpublished study, Laurent (1962) correlated ratings of managers with Miller Analogies Test and non-verbal abiliti test scores. With over 200 persons in each sample, he found correlations ranging from .18 to .29, all significant. The majority of the studies in this area, however, do not appear encouraging. While almost all of the correlations using cognitive ability tests are positive, only infrequently are they of sufficient magnitude to be statistically significant, much less practically significant. The conclusion one is forced to accept is that, insofar as the prediction of managerial performance is concerned; the present state of the art in the testing industry is not well developed. There would appear to be several possible explanations for the lack of consistently demonstrated validity encountered in the prediction of managerial performance

Explanation in Science

Scientific explanation is an important goal of scientific practise. Philosophers have proposed a striking diversity of seemingly incompatible accounts of explanation, from deductive-nomological to statistical relevance, unification, pragmatic, causal-mechanical, mechanistic, causal intervention, asymptotic, and model-based accounts. In this dissertation I apply two novel methods to reexamine our evidence about scientific explanation in practise and thereby address the fragmentation of philosophical accounts. I start by collecting a data set of 781 articles from one year of the journal Science. Using automated text mining techniques I measure the frequency and distribution of several groups of philosophically interesting words, such as explain , cause , evidence , theory , law , mechanism , and model . I show that explain words are much more common in scientific writing than in other genres, occurring in roughly half of all articles, and that their use is very often qualified or negated. These results about the use of words complement traditional conceptual analysis. Next I use random samples from the data set to develop a large number of small case studies across a wide range of scientific disciplines. I use a sample of explain sentences to develop and defend a new general philosophical account of scientific explanation, and then test my account against a larger set of randomly sampled sentences and abstracts. Five coarse categories can classify the explanans and explananda of my cases: data, entities, kinds, models, and theories. The pair of the categories of the explanans and explanandum indicates the form of an explanation. The explain-relation supports counterfactual reasoning about the dependence of qualities of the explanandum on qualities of the explanans. But for each form there is a different core relation between explanans and explanandum that supports the explain-relation. Causation, modelling, and argument are the core relations for different forms of scientific explanation between different categories of explanans and explananda. This flexibility allows me to resolve some of the fragmentation in the philosophical literature. I provide empirical evidence to show that my general philosophical account successfully describes a wide range of scientific practise across a large number of scientific disciplines

FAIR principles and the IEDB: short-term improvements and a long-term vision of OBO-foundry mediated machine-actionable interoperability.

The Immune Epitope Database (IEDB), at www.iedb.org, has the mission to make published experimental data relating to the recognition of immune epitopes easily available to the scientific public. By presenting curated data in a searchable database, we have liberated it from the tables and figures of journal articles, making it more accessible and usable by immunologists. Recently, the principles of Findability, Accessibility, Interoperability and Reusability have been formulated as goals that data repositories should meet to enhance the usefulness of their data holdings. We here examine how the IEDB complies with these principles and identify broad areas of success, but also areas for improvement. We describe short-term improvements to the IEDB that are being implemented now, as well as a long-term vision of true 'machine-actionable interoperability', which we believe will require community agreement on standardization of knowledge representation that can be built on top of the shared use of ontologies

Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem

Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopathological Imaging Ontology – QHIO. We apply QHIO to breast cancer hot-spot detection with the goal of enhancing reliability of detection by promoting the sharing of data between image analysts

Open Biomedical Ontologies Applied to Prostate Cancer

In this presentation we survey preliminary results from the Interdisciplinary Prostate Ontology Project (IPOP), in which ontologies from the Open Biomedical Ontologies (OBO) library have been used to annotate clinical reports about prostate cancer. First we discuss why we rejected several controlled vocabularies, including SNOMED, DICOM, and RadLex, preferring instead to use the OBO library. We then briefly describe the database-backed website we have created around the relevant OBO ontologies, and provide excerpts of reports from radiology, surgery, and pathology which we have hyperlinked to the ontology terms. This method allows us to discover which relevant terms exist in the OBO library, and which do not. The final section of this paper discusses these gaps in the OBO library and considers methods of filling them

Idealization in Scientific Explanation

Many phenomena pose interesting “fundamental” questions for both physics and philosophy of science. Understanding and explanation often seem to require non-Galilean, essential idealizations. But idealizations are false. This fact suggests that we need to give up on the view that truth is a necessary condition for explanation

Developmental and individual differences in conditional reasoning: The role of contradiction training and cognitive style

Previous research has suggested that logical competence may not always be reflected in task performances but is influenced by various moderator variables that affect the actual application of competence. The present research examines the development of conditional reasoning from the perspective of a competencemoderator-performance approach (Overton, 1985; Overton & Newman, 1982). The effects of task interpretation and cognitive style as moderator variables for conditional reasoning were examined with 8th, 10th, and 12th grade students. Half of the students at each grade received training with contradictory evidence to alert them to faulty task interpretations. Generalization of training was assessed with a second conditional reasoning task. Cognitive style was assessed with the Matching Familiar Figures test. Results indicate that only the 12th graders benefit from training and training generalized to the subsequent task. It was also found that a reflective style enhanced performance at each grade level for the initial task. However, the beneficial effects of a reflective style were restricted on the generalization task to 12th graders who had received contradiction training. Conditional reasoning has been a central concern of recent research on logical though