Lateral inhibition and echoic memory: Some comments on Crowder’s (1978) theory

Crowder (1978) has proposed a theory of the suffix effect based on lateral inhibition among echoic representations of the list and suffix items. The theory was prompted by, and derives its principal support from, the counterintuitive finding that the effect is smaller with multiple suffixes than with a conventional single suffix. In this paper, we describe four experiments, each of which fails to replicate this finding. In addition, we note a prediction of the theory and show that it is contrary to available evidence. It is argued that the details of the suffix effect are too complex to be captured by a theory of peripheral mechanism, even one as ingenious as Crowder’s.     

Putting personal growth into an occupational psychology curriculum

This paper outlines an alternative approach to curriculum design in higher education focusing in particular on the introduction of personal growth into the programme, and on facilitating the selection by students of the optimal choice of options. It is argued that models of curriculum design need to take cognizance of at least four interested parties; and that in the resolutions of their divergent interests, curriculum designers must make clear their most potent values, as well as their theories and assumptions about the nature of learning. A brief outline follows of two courses based upon these propositions. Finally, evaluations by both trainers and students involved in these courses are presented.     

Using the shifting standards model of stereotype-based judgments to examine the impact of race on compensation decisions

The Shifting Standards Model (SSM) of stereotypic judgments is presented as a model of implicit bias that produces a psychological mechanism contributing to continued racial wage disparities. The SSM is used to explain race-based differences in subjective evaluations of compensation decisions. We report three experimental studies in which research participants made compensation decisions for either a White or Black employee. Across three studies, participants judged a Black employee's raise as subjectively better than a comparably described White employee's raise. Participants who work in Human Resources fields (Study 3) and those with experience making compensation decisions (Study 2) were as likely as other participants to show evidence of the shifting standards effect. The findings are discussed in the context of individual implicit biases contributing to continued wage disparities and potential organizational practices to ameliorate these influences.     

Conceptualizing Self-determination from a Behavioral Perspective: The Role of Choice,Self-control,and Self-management

The goal of education can be defined in many ways; but in searching the literature, we found that in most cases, people consider the goal of education to be developing a self-determined individual. Self-determination is an abstract term. Behavior analysts may find this term difficult to define. Therefore, it may be difficult to observe and measure whether “self-determined behaviors” have developed. Many other service providers use this term frequently; thus, behavior analysts working with these service providers must come to terms with this concept in order to better collaborate. We argue that self-determination can be operationally defined with the concepts of choice, self-control, and self-management. By using the measurable behaviors included in these concepts, we believe that services can be developed to teach self-determination skills. This paper explores these concepts and how they can contribute to an operational definition of self-determination, and ultimately, help behavior analysts work with other providers to effectively teach self-determination to individuals with developmental disabilities.

     

A Dyadic IRT Model

Psychometrika - We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors,...     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.     

Recruiting (Dis)Advantage: Men’s Versus Women’s Evaluations of Gender-Based Targeted Recruitment

Sex Roles - Organizations use targeted recruitment to attract applicants with specific demographic characteristics to diversify the workforce. Research reports mixed findings regarding the extent...