Thinking Perspective Profiles as a Predictor of Intelligence Analysts\u27 Job Performance.

Empirical research has supported the use of general cognitive ability to predict employee performance; however, studies have accounted for only a fraction of the variance. The current study addressed whether intellectual styles, which describe how individuals habitually acquire and use information, account for a significant portion of the variance in job performance not covered by general cognitive ability. The study followed a quantitative, nonexperimental design with a convenience sample of 77 intelligence analysts from 6 U.S. government agencies and 2 online professional groups. MindTime provided the primary theoretical framework. The International Cognitive Ability Resource, MindTime Profile InventoryTM, and Self-Rated Analytic Job Performance Assessment were used to measure general cognitive ability and analytic job performance. Results of multiple linear regression analysis indicated that thinking perspectives profiles are valid predictors of job performance and contribute to the incremental validity of general cognitive ability as a predictor of analytic job performance. However, because of the high degree of collinearity, results were inconclusive. The findings add to the understanding of the relationship between intellectual styles and job performance of knowledge workers, and they reinforce links between industrial-organizational psychology and cognitive psychology

A Dynamic Approach to Recognition Memory

Thesis (Ph.D.) - Indiana University,Psychological and Brain Sciences/Cognitive Science, 2015We argue that taking a dynamic approach to the understanding of memory will lead to advances that are not possible via other routes. To that end, we present a model of recognition memory that specifies how memory retrieval and recognition decisions jointly evolve over time and show that it is able to jointly predict accuracy, response time, and speed-accuracy trade-off functions. The model affords insights into the effects of study time, list length, and instructions. The model leads to a novel qualitative and quantitative test of the source of word frequency effects in recognition, showing that the relatively high distinctiveness of the features of low frequency words provide the best account. We also show how the dynamic model can be extended to account for paradigms like associative recognition and list discrimination, leading to another novel test of the presence of recall-like processes. Associative recognition, list discrimination, recognition of similar foils, and source exclusion are all better explained by the formation of a compound cue rather than recall, although source memory is found to be better modeled by a recall process