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Applied Behavioral Analyst

Neil Deochand, R Wayne Fuqua
Since the Behavior Analyst Certification Board (BACB) was officially created in 1998 (Shook, 2005), the number of individuals certified by the BACB has grown significantly, particularly in the USA. Some states have witnessed a steady growth in the number of certificants, whereas others have witnessed exponential growth. Many factors could account for these overall growth patterns, including (a) geographic variations in distribution of certificants across states, (b) the passage of autism insurance reform laws or state licensing laws that influence the professional practice of applied behavior analysis (ABA) services, and (c) the presence of major academic or practicum training programs...
September 2016: Behavior Analysis in Practice
Mitch J Fryling, Natalia A Baires
The identification of functional relations is a hallmark of applied behavior analysis. Building upon this foundation, applied behavior analysts have developed and researched a number of practices that fall within the purview of Functional Behavioral Assessment, a framework used to understand factors that influence a target behavior. Indeed, there now exists a wide range of procedures that fall within the purview of Functional Behavioral Assessment, with different procedures being associated with different strengths and limitations...
June 2016: Behavior Analysis in Practice
Audrey N Hoffmann, Bethany P Contreras, Casey J Clay, Michael P Twohig
Applied behavior analysts work with many populations including individuals with developmental and intellectual disabilities. Although behavior analysts have a variety of empirically supported treatments to implement when working with individuals with disabilities, sometimes, other variables may adversely impact treatment effectiveness. The degree to which problematic thoughts and feelings (private events) influence behavior may be a variable that contributes to treatment efficacy. Traditional behavior analytic services are not always equipped to successfully address the private events influencing client behavior...
March 2016: Behavior Analysis in Practice
James M Johnston
The Auburn University Master of Science program in Applied Behavior Analysis was designed to accommodate not only the requirements of the Behavior Analyst Certification Board for approved course sequences and practicum training, but unavoidable limitations in faculty and other resources. These limitations were incompatible with the more traditional 2-year curriculum model, so a 1-year program was designed that met the necessary conditions. This article describes the resulting academic and practicum curriculum, the key funding mechanisms that allowed the program to develop, and the opportunities and benefits that this model afforded...
May 2016: Behavior Analyst
Derek D Reed
Publishing outside of behavior analysis is necessary for the field's impact in advancing its science or improving its treatments. As consumers of behavior analysis, we typically only see the success stories in outlets such as the Journal for the Experimental Analysis of Behavior, the Journal of Applied Behavior Analysis, and The Behavior Analyst. Lacking from these models is a description of the hard work and occasional missteps that accompany dissemination outside the box. In this paper, I propose that prospective disseminators need to (a) critically evaluate what they have to say, (b) carefully consider the field's interests, and (c) honestly analyze professional and personal contingencies to determine whether publishing outside the box should be a priority, depending on one's stage of professional development...
October 2014: Behavior Analyst
Timothy A Slocum, Ronnie Detrich, Susan M Wilczynski, Trina D Spencer, Teri Lewis, Katie Wolfe
Evidence-based practice (EBP) is a model of professional decision-making in which practitioners integrate the best available evidence with client values/context and clinical expertise in order to provide services for their clients. This framework provides behavior analysts with a structure for pervasive use of the best available evidence in the complex settings in which they work. This structure recognizes the need for clear and explicit understanding of the strength of evidence supporting intervention options, the important contextual factors including client values that contribute to decision making, and the key role of clinical expertise in the conceptualization, intervention, and evaluation of cases...
May 2014: Behavior Analyst
Zachary H Morford, Benjamin N Witts, Kenneth J Killingsworth, Mark P Alavosius
Deterding et al. (Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments, USA 15: 9-15, 2011) report a recent rise in popularity of video game inspired software designed to address issues in a variety of areas, including health, energy conservation, education, and business. These applications have been based on the concept of gamification, which involves a process by which nongame activities are designed to be more like a game. We provide examples of how gamification has been used to increase health-related behavior, energy consumption, academic performance, and other socially-significant behavior...
May 2014: Behavior Analyst
Christine Wu Nordahl, Melissa Mello, Audrey M Shen, Mark D Shen, Laurie A Vismara, Deana Li, Kayla Harrington, Costin Tanase, Beth Goodlin-Jones, Sally Rogers, Leonard Abbeduto, David G Amaral
BACKGROUND: Magnetic resonance imaging (MRI) has been widely used in studies evaluating the neuropathology of autism spectrum disorder (ASD). Studies are often limited, however, to higher functioning individuals with ASD. MRI studies of individuals with ASD and comorbid intellectual disability (ID) are lacking, due in part to the challenges of acquiring images without the use of sedation. METHODS: Utilizing principles of applied behavior analysis (ABA), we developed a protocol for acquiring structural MRI scans in school-aged children with ASD and intellectual impairment...
2016: Journal of Neurodevelopmental Disorders
Jennifer M Gillis, James E Carr
To meet the appropriate standard of care for their clients, practicing behavior analysts must stay in close contact with the scholarly literature. As one step toward this important goal, we provide an annotated bibliography of recent articles that are deemed to have relevance to behavioral practitioners in the area of developmental disabilities.
May 2014: Behavior Analysis in Practice
Valdeep Saini, Scott A Miller, Wayne W Fisher
Researchers began studying multiple schedules in basic laboratories, but recent advances have extended research on multiple schedules to a wide variety of socially significant applications, especially during the last decade. Applied researchers have used multiple schedules to (a) promote stimulus control over high-rate appropriate behaviors, (b) thin the schedule of reinforcement following functional communication training, and (c) obtain stimulus control over problem behaviors maintained by automatic reinforcement...
June 2016: Journal of Applied Behavior Analysis
Kevin L Mills, James J Filliben
Experimenters characterize the behavior of simulation models for data communications networks by measuring multiple responses under selected parameter combinations. The resulting multivariate data may include redundant responses reflecting aspects of a smaller number of underlying behaviors. Reducing the dimension of multivariate responses can reveal the most significant model behaviors, allowing subsequent analyses to focus on one response per behavior. This paper investigates two methods for reducing dimension in multivariate data generated from simulation models...
September 2011: Journal of Research of the National Institute of Standards and Technology
S M Strauss, D M Rindskopf, G P Falkin
Analysts evaluating the strengths of relationships between variables in behavioral science research must often contend with the problem of missing data. Analyses are typically performed using data for cases that are either complete in all the variables, or assume that the data are missing at random. Often, these approaches yield biased results. Using empirical data, the current work explores the implications and consequences of using various statistical models to describe the association of two variables, one ordinal and one dichotomous, in which data are incomplete for the dichotomous variable...
October 1, 2001: Multivariate Behavioral Research
Allison L Martin
The field of primate behavior management has had only limited success in preventing and treating abnormal behaviors, such as stereotypy and self-injury, in captive non-human primates (NHP). In contrast, applied behavior analysts have had great success in treating similar topographies of behavior in human clinical settings. By adapting and adopting the behavioral principles and methodologies commonly used by applied behavior analysts, primatologists may be able to develop more effective ways to analyze, reduce, and prevent these aberrant behaviors in NHP...
November 5, 2015: American Journal of Primatology
Hua Guo, Steven R Gomez, Caroline Ziemkiewicz, David H Laidlaw
We present results from an experiment aimed at using logs of interactions with a visual analytics application to better understand how interactions lead to insight generation. We performed an insight-based user study of a visual analytics application and ran post hoc quantitative analyses of participants' measured insight metrics and interaction logs. The quantitative analyses identified features of interaction that were correlated with insight characteristics, and we confirmed these findings using a qualitative analysis of video captured during the user study...
January 2016: IEEE Transactions on Visualization and Computer Graphics
Hanzhi Zhou, Michael R Elliott, Trviellore E Raghunathan
Multiple imputation (MI) is a well-established method to handle item-nonresponse in sample surveys. Survey data obtained from complex sampling designs often involve features that include unequal probability of selection. MI requires imputation to be congenial, that is, for the imputations to come from a Bayesian predictive distribution and for the observed and complete data estimator to equal the posterior mean given the observed or complete data, and similarly for the observed and complete variance estimator to equal the posterior variance given the observed or complete data; more colloquially, the analyst and imputer make similar modeling assumptions...
March 2016: Biometrics
Michael B Buchholtz, Jane Spiekermann, Horst K├Ąchele
Conversation analysis and psychotherapy process research is an evolving field promising new insights for therapeutic practice. As the specimen case of Amalie, especially her 152nd session, has been investigated using various methods - of which we give a short overview - we offer a new analysis of session 152 based on a new transcription which allows for more detailed listening to the prosodic properties of this analytic dyad. Our findings show a) how analyst and patient co-create their common conversational object called psychoanalysis; b) how a lot of up-to-now not described analytical tools are applied, that can be described as "practices"; c) how a "dance of insight" is enacted by both participants in a common creation making patterns of interaction visible from "both sides"; d) how participants create metaphors as conversational and cognitive tools to reduce the enormous complexity of the analytic exchange and for other purposes; e) that prosodic rhythmicity and other prosodic features are best integrated in a threefold model for analytic conversation consisting of "interaction engine", "talking to" and "talking about" the patient...
June 2015: International Journal of Psycho-analysis
Michael Stearns, Siddhartha Nambiar, Alexander Nikolaev, Alexander Semenov, Scott McIntosh
Online pro-health social networks facilitating smoking cessation through web-assisted interventions have flourished in the past decade. In order to properly evaluate and increase the impact of this form of treatment on society, one needs to understand and be able to quantify its reach, as defined within the widely-adopted RE-AIM framework. In the online communication context, user engagement is an integral component of reach. This paper quantitatively studies the effect of engagement on the users of the Alt...
December 2014: Network Modeling and Analysis in Health Informatics and Bioinformatics
Joshua C Poore, Clifton L Forlines, Sarah M Miller, John R Regan, John M Irvine
The decision sciences are increasingly challenged to advance methods for modeling analysts, accounting for both analytic strengths and weaknesses, to improve inferences taken from increasingly large and complex sources of data. We examine whether psychometric measures-personality, cognitive style, motivated cognition-predict analytic performance and whether psychometric measures are competitive with aptitude measures (i.e., SAT scores) as analyst sample selection criteria. A heterogeneous, national sample of 927 participants completed an extensive battery of psychometric measures and aptitude tests and was asked 129 geopolitical forecasting questions over the course of 1 year...
December 2014: Journal of Cognitive Engineering and Decision Making
Courtney C Kennedy, George Ioannidis, Lehana Thabane, Jonathan D Adachi, Sharon Marr, Lora M Giangregorio, Suzanne N Morin, Richard G Crilly, Robert G Josse, Lynne Lohfeld, Laura E Pickard, Mary-Lou van der Horst, Glenda Campbell, Jackie Stroud, Lisa Dolovich, Anna M Sawka, Ravi Jain, Lynn Nash, Alexandra Papaioannou
BACKGROUND: Few studies have systematically examined whether knowledge translation (KT) strategies can be successfully implemented within the long-term care (LTC) setting. In this study, we examined the effectiveness of a multifaceted, interdisciplinary KT intervention for improving the prescribing of vitamin D, calcium and osteoporosis medications over 12-months. METHODS: We conducted a pilot, cluster randomized controlled trial in 40 LTC homes (21 control; 19 intervention) in Ontario, Canada...
2015: Trials
Jennifer Ninci, Kimberly J Vannest, Victor Willson, Nan Zhang
Visual analysis is the most widely applied method of data interpretation for single-case research as it encompasses multifaceted considerations relevant to evaluating behavior change. However, a previous research synthesis found low levels of interrater agreement between visually analyzed ratings of graphed data across all variables under analysis. The purpose of this meta-analysis was to evaluate the peer-reviewed literature to date for potential moderators affecting the proportion of interrater agreement between visual analysts...
July 2015: Behavior Modification
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