Estimación de frecuencia y duración en el muestreo temporal de la conducta

En la observación sistematica del comportamiento interesa habitualmente recoger de manera fidedigna información acerca de qué comportamientos tienen lugar, con qué frecuencia ocurren, cuanto tiempo ocupan, en qué secuencia se producen, etc. Los tipos de comportamiento se organizan para ello en uno o va- rios sistemas de categorias exhaustivas y mutuamente excluyentes (p.e., Bakeman y Gottman, 1986). Comúnmente se emplea un Único sistema de categorias; en tal caso, mientras el individuo es observado tiene lugar una sucesión de ocurren- cias de las categorias de conducta cuyas transiciones se consideran instantaneas. Si el conjunt0 de sucesos conductuales o sistema de categorias es, por ejemplo s = [a, b, c, d, e], el resultado de una sesión de observación podria ser la secuencia bcbcbcacecbcbe; si ademas las categorias son estados (esto es, se han medido las duraciones de cada una de sus ocurrencias), entonces la secuencia podria repre- sentarse como en la Figura la

Flocking Behaviour: Agent-Based Simulation and Hierarchical Leadership

We have studied how leaders emerge in a group as a consequence of interactions among its members. We propose that leaders can emerge as a consequence of a self-organized process based on local rules of dyadic interactions among individuals. Flocks are an example of self-organized behaviour in a group and properties similar to those observed in flocks might also explain some of the dynamics and organization of human groups. We developed an agent-based model that generated flocks in a virtual world and implemented it in a multi-agent simulation computer program that computed indices at each time step of the simulation to quantify the degree to which a group moved in a coordinated way (index of flocking behaviour) and the degree to which specific individuals led the group (index of hierarchical leadership). We ran several series of simulations in order to test our model and determine how these indices behaved under specific agent and world conditions. We identified the agent, world property, and model parameters that made stable, compact flocks emerge, and explored possible environmental properties that predicted the probability of becoming a leader.Flocking Behaviour; Hierarchical Leadership; Agent-Based Simulation; Social Dynamics

Spatial Behavior in Groups: an Agent-Based Approach

We present an agent-based model with the aim of studying how macro-level dynamics of spatial distances among interacting individuals in a closed space emerge from micro-level dyadic and local interactions. Our agents moved on a lattice (referred to as a room) using a model implemented in a computer program called P-Space in order to minimize their dissatisfaction, defined as a function of the discrepancy between the real distance and the ideal, or desired, distance between agents. Ideal distances evolved in accordance with the agent\'s personal and social space, which changed throughout the dynamics of the interactions among the agents. In the first set of simulations we studied the effects of the parameters of the function that generated ideal distances, and in a second set we explored how group macro-level behavior depended on model parameters and other variables. We learned that certain parameter values yielded consistent patterns in the agents\' personal and social spaces, which in turn led to avoidance and approaching behaviors in the agents. We also found that the spatial behavior of the group of agents as a whole was influenced by the values of the model parameters, as well as by other variables such as the number of agents. Our work demonstrates that the bottom-up approach is a useful way of explaining macro-level spatial behavior. The proposed model is also shown to be a powerful tool for simulating the spatial behavior of groups of interacting individuals.Spatial Behavior, Proxemics, Agent-Based Modeling, Minimum Dissatisfaction Model, Small Groups, Social Interaction

Random assignment of intervention points in two phase single-case designs: data-division-specific distributions

The present study explores the statistical properties of a randomization test based on the random assignment of the intervention point in a two-phase (AB) single-case design. The focus is on randomization distributions constructed with the values of the test statistic for all possible random assignments and used to obtain p-values. The shape of those distributions is investigated for each specific data division defined by the moment in which the intervention is introduced. Another aim of the study consisted in testing the detection of inexistent effects (i.e., production of false alarms) in autocorrelated data series, in which the assumption of exchangeability between observations may be untenable. In this way, it was possible to compare nominal and empirical Type I error rates in order to obtain evidence on the statistical validity of the randomization test for each individual data division. The results suggest that when either of the two phases has considerably less measurement times, Type I errors may be too probable and, hence, the decision making process to be carried out by applied researchers may be jeopardized

Conducta de ximpanzés (Pan troglodytes)

Pràctiques d’Etologia i Evolució de la ConductaAquest document conté el guió de pràctiques " Conducta de ximpanzés" i la guia del professor

Conducta de la gavineta de tres dits (Rissa tridactyla)

Pràctiques d’Etologia i Evolució de la ConductaAquest document conté el guió de pràctiques " Conducta de la gavineta de tres dits (Rissa tridactyla)" i la guia del professor

Coding interactions in Motivational Interviewing with computer-software: What are the advantages for process researchers?

a b s t r a c t Motivational Interviewing (MI) is an evidence-based behavior change intervention. The interactional change processes that make MI effective have been increasingly studied using observational coding schemes. We introduce an implementation of a software-supported MI coding scheme-the Motivational Interviewing Treatment Integrity code (MITI)-and discuss advantages for process researchers. Furthermore, we compared reliability of the software version with prior results of the paper version. A sample of 14 double-coded dyadic interactions showed good to excellent interrater reliabilities. We selected a second sample of 22 sessions to obtain convergent validity results of the software version: substantial correlations were obtained between the software instrument and the Rating Scales for the Assessment of Empathic Communication. Finally, we demonstrate how the software version can be used to test whether single code frequencies obtained by using intervals shorter than 20 min (i.e., 5 or 10 min) are accurate estimates of the respective code frequencies for the entire session (i.e., behavior slicing). Our results revealed that coding only a 10-min interval provides accurate estimates of the entire session. Our study demonstrates that the software implementation of the MITI is a reliable and valid instrument. We discuss advantages of the software version for process research in MI

Toothbrushing Systematics Index (TSI): A new tool for quantifying systematics in toothbrushing behaviour

Systematics is considered important for effective toothbrushing. A theoretical concept of systematics in toothbrushing and a validated index to quantify it using observational data is suggested. The index consists of three components: completeness (all areas of the dentition reached), isochronicity (all areas brushed equally long) and consistency (avoiding frequent alternations between areas). Toothbrushing should take a sufficient length of time; therefore, this parameter is part of the index value calculation. Quantitative data from video observations were used including the number of changes between areas, number of areas reached, absolute brushing time and brushing time per area. These data were fed into two algorithms that converted the behaviour into two index values (each with values between 0 and 1) and were summed as the Toothbrushing Systematics Index (TSI) value; 0 indicates completely unsystematic and 2 indicates perfectly systematic brushing. The index was developed using theoretical data. The data matrices revealed the highest values when all areas are reached and brushed equally long. Few changes occurred between the areas when the brushing duration was 90 s; the lowest values occurred under opposite conditions. Clinical applicability was tested with data from re-analysed videos from an earlier intervention study aiming to establish a pre-defined toothbrushing sequence. Subjects who fully adopted this sequence had a baseline TSI of 1.30±0.26, which increased to 1.74±0.09 after the intervention (p 0.001). When the participants who only partially adopted the sequence were included, the respective values were 1.25±0.27 and 1.69±0.14 (p 0.001). The suggested new TS-index can cover a variety of clinically meaningful variations of systematic brushing, validly quantifies the changes in toothbrushing systematics and has discriminative power