Wholistic and analytic stimulus processing: The development of selective perceptual strategies

This experiment reports an investigation of the development of selective processing strategies as subjects become increasingly more practised at a serial self-paced RT task. It demonstrates the effect a preceding stimulus can have on the analysis of a current signal and the development of active analytic strategies in favour of passive wholistic processing, with practice. The stimuli used were letters with irrelevant visual noise dot patterns superimposed on them. The letter, or the dot pattern, or both, could be repeated on successive trials. Early in practice repetition of both stimulus components simultaneously produced short reponse latencies relative to repetition of the letter alone. The number of noise dots markedly affected RT. Late in practice, however, letter repetition RTs were small, irrespective of whether or not the noise dot pattern was repeated. Furthermore, the number of noise dots no longer had an effect on the RT to these stimulus transitions. The results suggest that subjects appear to be able to select relevant information to process as they become progressively more practised, even though there is evidence that they compare the current stimulus with an iconic representation of the immediately preceding one.     

The Stochastic Goal Programming Model: Theory and Applications

Supported by a network of researchers and practitioners, the goal programming (GP) model is alive today more than ever and is continually fed with theoretical developments and new applications with resounding success. The standard formulation of the GP model was introduced in the earliest of 1960s, and since then, important extensions and numerous applications have been proposed. One of these variants is the stochastic GP model that deals with the uncertainty of some decision‐making situations by using stochastic calculus. In such a situation, the decision maker is not able to assess with certainty the different parameters. However, he or she can provide some information regarding the likelihood of occurrence of the decision‐making parameter values. The aim of this paper is to highlight the main methodological developments of the stochastic GP model and to present an overview of its applications in several domains. Copyright © 2012 John Wiley & Sons, Ltd.     

Political Activism and Research Ethics

Those who care about and engage in politics frequently fall victim to cognitive bias. Concerns that such bias impacts scholarship recently have prompted debates – notably, in philosophy and psychology – on the proper relationship between research and politics. One proposal emerging from these debates is that researchers studying politics have a professional duty to avoid political activism because it risks biasing their work. While sympathetic to the motivations behind this proposal, I suggest several reasons to reject a blanket duty to avoid activism: (1) even if it reduced bias, this duty would make unreasonable demands on researchers; (2) this duty could hinder research by limiting viewpoint diversity; (3) this duty wrongly implies that academia offers a relative haven from bias compared to politics; and (4) not all forms of political activism pose an equal risk of bias. None of these points suggest that researchers should ignore the risk of bias. Rather, researchers should focus on stronger evidence-based strategies for reducing bias than a blanket recommendation to avoid politics.