Explaining color term typology with an evolutionary model

An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay's (1969) hypothesis that the typological patterns observed in basic color term systems are produced by a process of cultural evolution under the influence of biases resulting from the special properties of universal focal colors. Ten agents were simulated, each of which could learn color term denotations by generalizing from examples using Bayesian inference, and for which universal focal red, yellow, green, and blue were especially salient, but unevenly spaced in the perceptual color space. Conversations between these agents, in which agents would learn from one another, were simulated over several generations, and the languages emerging at the end of each simulation were investigated. The proportion of color terms of each type correlated closely with the equivalent frequencies found in the World Color Survey, and most of the emergent languages could be placed on one of the evolutionary trajectories proposed by Kay and Maffi (1999). The simulation therefore demonstrates how typological patterns can emerge as a result of learning biases acting over a period of time.     

T-PALS framework to assess children who stutter with coexisting disorders: A tutorial

The purpose of this paper is to present a tutorial on a diagnostic framework developed to assess children who stutter and exhibit co-existing disorders. While we have guidelines for treating these children, there are no specific guidelines for assessing them. We provide a rationale for the development of T-PALS with support from the literature. The T-PALS framework assesses 5 foundational key elements for the child: Temperament (T), Pragmatics (P), Articulation/phonology (A), Language (L), and Stuttering (S). Both qualitative and quantitative measures are used within each dimension. This framework is discussed with reference to using two clinical case examples. T-PALS observation data are presented as well as treatment suggestions for each case. We conclude that T-PALS may be a useful framework for both clinicians and researchers, working with children who present with stuttering and comorbid conditions. Clinicians are encouraged to reach beyond the traditional focus on solely assessing the stuttering behavior, even when that is the main concern for referral, and to consider a broader view of the child. It is hoped that this more integrative approach to assessment may yield a more holistic diagnostic picture of a dual diagnosis child from which treatment goals can be derived.     

Le protocole individuel en psychologie : tutoriel à l’usage des psychologues praticiens

Although single-case design seems to be an appropriate method for practicing psychologists as it fits perfectly with the evidence-based practice framework, their use remains quasi-anecdotal in psychology. The aim of the present article is to present the advantages of single-case protocols and to demonstrate the ease of their implementation. It provides practitioners with a tutorial of a free open-source statistical program (SCDA) to analyze single-case data. The main results from a single-case protocol are presented and illustrated through an example. Strategies for integrating these protocols in the clinical practice are discussed. This tutorial could encourage the use of the single-case design in research and practice settings.     

Drawing conclusions from choice response time models: A tutorial using the linear ballistic accumulator

Cognitive models of choice and response times can lead to deeper insights into the processes underlying decisions than standard analyses of accuracy and response time data. The application of these models, however, has historically been reserved for the authors of the models, and their associates. Recently, choice response time models have become more accessible through the release of user-friendly software for estimating their parameters. The aim of this tutorial is to provide guidance about the process of using these parameter estimates and associated model fits to make conclusions about experimental data. We use an application of one response time model, the linear ballistic accumulator, as an example to demonstrate the steps required to select an appropriate parametric characterization of a data set. We also discuss how to evaluate the quality of the agreement between model and data, including guidelines for presenting model predictions for group-level data.