Gaze and informativeness during category learning: Evidence for an inverse relation

In what follows, we explore the general relationship between eye gaze during a category learning task and the information conveyed by each member of the learned category. To understand the nature of this relationship empirically, we used eye tracking during a novel object classification paradigm. Results suggest that the average fixation time per object during learning is inversely proportional to the amount of information that object conveys about its category. This inverse relationship may seem counterintuitive; however, objects that have a high-information value are inherently more representative of their category. Therefore, their generality captures the essence of the category structure relative to less representative objects. As such, it takes relatively less time to process these objects than their less informative companions. We use a general information measure referred to as representational information theory (Vigo, 2011a, 2013a) to articulate and interpret the results from our experiment and compare its predictions to those of three models of prototypicality.     

Book Review

Repetition priming is one of the most robust phenomena in cognitive psychology, but participants vary substantially on the amount of priming that they produce. The current experiments assessed the reliability of repetition priming within individuals. The results suggest that observed differences in the size of the repetition priming effect across participants are largely reliable and result primarily from systematic processes. We conclude that the unreliability of semantic priming observed by Stolz, Besner, and Carr (2005) is specific to uncoordinated processes in semantic memory, and that this unreliability does not generalize to other processes in visual word recognition. We consider the implications of these results for theories of automatic and controlled processes that contribute to priming. Finally, we emphasize the importance of reliability for researchers who use similar paradigms to study individual and group differences in cognition.     

Preventing depression: A review of cognitive-behavioral and family interventions

Depression is one of the most common psychological disorders. It is associated with tremendous costs in terms of suffering, decrease in productivity, and loss of life. For many individuals, depression is a disorder that will recur throughout life. Recent findings suggest that the prevalence of depression is on the rise, particularly in young people. Clearly, depression prevention is an important goal. Can depression be prevented? In this article we review research on interventions designed to prevent episodes and symptoms of unipolar depression in adults and children. Our review focuses specifically on cognitive-behavioral and family interventions. We discuss what researchers have learned about the prevention of depression and conclude with recommendations for future investigations.     

Selectivity and immigration in Canada

One perennial policy question in Canada concerns the kind of immigrants Canada should admit. Should it be those with the best prospects of fast economic assimilation in the labour market?. This research note sketches the earnings outcomes of immigrants associated with different admission categories. Specifically, we examine two databases. The Immigration Data Base (IMDB) provides information on admission categories by linking immigration, administrative records with income tax files. The Survey of Labour and Income Dynamics (SLID) is a longitudinal sample that provides a comprehensive profile of immigrants and native-born Canadians. The IMDB and SLID datasets provide valuable information on the economic outcomes of immigrants in quite different ways.     

Racial Differences in Perceptions of Starting Salaries: How Failing to Discriminate Can Perpetuate Discrimination

Despite recent findings suggesting the presence of racial differences in the perception of starting salaries, researchers have yet to empirically investigate this possibility. Consequently, this study examined the interactive effects of race, ethnic identity, and starting salaries on the salary perceptions of 342 undergraduates. Hispanic, Asian American, and White participants exhibited positive effects of salary whereas Black respondents failed to discriminate between the different salaries. However, a three-way interaction involving ethnic identity, race, and salary revealed a more complex pattern of responses for Black participants: Higher ethnic identifiers responded similarly to Hispanic, White, and Asian Americans. The implications of these results regarding the perpetuation of racial wage inequity are discussed.     

Analyzing human random generation behavior: A review of methods used and a computer program for describing performance

In this paper, we consider the different methods that have been developed to quantify random generation behavior and incorporate these measurement scales into a Windows95 computer program called RgCalc. RgCalc analyzes the quality of human attempts at random generation and can provide computer-generated, pseudorandom sequences for comparison. The program is designed to be appropriate for the analysis of various types of random generation situations employed in the psychological literature. The different algorithms for the evaluation of a dataset are detailed and an outline of the program is described. Performance measures are available for assessing various aspects of the response distribution, the sequencing of pairs, the ordinal relationships between sets of items, and the tendency to repeat alternatives over different lengths. A factor analysis is used to illustrate the multiple dimensions underlying human randomization processes.