Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Andrew L. Samaha is active.

Publication


Featured researches published by Andrew L. Samaha.


Journal of Applied Behavior Analysis | 2013

Teacher-Conducted Trial-Based Functional Analyses as the Basis for Intervention.

Sarah E. Bloom; Joseph M. Lambert; Elizabeth Dayton; Andrew L. Samaha

Previous studies have focused on whether a trial-based functional analysis (FA) yields the same outcomes as more traditional FAs, and whether interventions based on trial-based FAs can reduce socially maintained problem behavior. We included a full range of behavior functions and taught 3 teachers to conduct a trial-based FA with 3 boys with developmental and intellectual disabilities who engaged in problem behavior. Based on the results of the trial-based FAs, we developed and conducted 5 function-based interventions, using differential reinforcement of an alternative behavior and extinction in all but 1 case. In the remaining case, we used noncontingent reinforcement. All interventions led to reductions in problem behavior and increases in alternative behavior.


Computers in Human Behavior | 2013

Review: Evaluation of the reliability and validity of GraphClick as a data extraction program

Megan A. Boyle; Andrew L. Samaha; Andrew M. Rodewald; Audrey N. Hoffmann

Data extraction programs are used to obtain approximations of raw data from published graphs. Quantitative syntheses of single-subject data require that researchers have access to valid and reliable data extraction programs. We analyzed the reliability and validity of a data extraction program, GraphClick. Three independent coders extracted data from 191 graphs from the Journal of Applied Behavior Analysis (JABA) and 15 graphs of hypothetical data. Results showed that GraphClick is both reliable and valid with nearly perfect correlations for all analyses. Suggestions are included for researchers and authors to improve the accuracy of data extraction techniques.


Journal of Applied Behavior Analysis | 2015

Serial alternative response training as intervention for target response resurgence.

Joseph M. Lambert; Sarah E. Bloom; Andrew L. Samaha; Elizabeth Dayton; Andrew M. Rodewald

Failure to reinforce appropriate behavior could result in resurgence of previously extinguished problem behavior and degradation of previously effective treatments such as differential reinforcement of alternative behavior (DRA). We analyzed arbitrary responses (i.e., switch flipping) exhibited by 3 adults with developmental disabilities to compare the effect of a traditional DRA intervention against the effect of a serial DRA intervention on the magnitude of target response resurgence using a 2-component multiple schedule. The target response served as an analogue to problem behavior, and alternative responses served as analogues to socially appropriate alternative responses. In all cases, the percentage of total responding allocated toward target response resurgence was less in the serial DRA component than in the traditional DRA component. Furthermore, we observed both reversion and recency for 2 of 3 subjects. Our data provide preliminary evidence suggesting that serial DRA may produce more durable and desirable outcomes than traditional DRA.


Journal of the Experimental Analysis of Behavior | 2010

Concurrent reinforcement schedules for problem behavior and appropriate behavior: experimental applications of the matching law.

Carrie S. W. Borrero; Timothy R. Vollmer; John C. Borrero; Jason C. Bourret; Kimberly N. Sloman; Andrew L. Samaha; Jesse Dallery

This study evaluated how children who exhibited functionally equivalent problem and appropriate behavior allocate responding to experimentally arranged reinforcer rates. Relative reinforcer rates were arranged on concurrent variable-interval schedules and effects on relative response rates were interpreted using the generalized matching equation. Results showed that relative rates of responding approximated relative rates of reinforcement. Finally, interventions for problem behavior were evaluated and differential reinforcement of alternative behavior and extinction procedures were implemented to increase appropriate behavior and decrease problem behavior. Practical considerations for the application of the generalized matching equation specific to severe problem behavior are discussed, including difficulties associated with defining a reinforced response, and obtaining steady state responding in clinical settings.


Journal of Applied Behavior Analysis | 2009

ANALYSES OF RESPONSE-STIMULUS SEQUENCES IN DESCRIPTIVE OBSERVATIONS

Andrew L. Samaha; Timothy R. Vollmer; Carrie S. W. Borrero; Kimberly N. Sloman; Claire St. Peter Pipkin; Jason C. Bourret

Descriptive observations were conducted to record problem behavior displayed by participants and to record antecedents and consequences delivered by caregivers. Next, functional analyses were conducted to identify reinforcers for problem behavior. Then, using data from the descriptive observations, lag-sequential analyses were conducted to examine changes in the probability of environmental events across time in relation to occurrences of problem behavior. The results of the lag-sequential analyses were interpreted in light of the results of functional analyses. Results suggested that events identified as reinforcers in a functional analysis followed behavior in idiosyncratic ways: after a range of delays and frequencies. Thus, it is possible that naturally occurring reinforcement contingencies are arranged in ways different from those typically evaluated in applied research. Further, these complex response-stimulus relations can be represented by lag-sequential analyses. However, limitations to the lag-sequential analysis are evident.


Behavior Modification | 2013

Training Teachers to Conduct Trial-Based Functional Analyses

S. Shanun Kunnavatana; Sarah E. Bloom; Andrew L. Samaha; Elizabeth Dayton

The trial-based functional analysis (FA) is a promising approach to identification of behavioral function and is especially suited for use in educational settings. Not all studies on trial-based FA have included teachers as therapists, and those studies that have, included minimal information on teacher training. The purpose of this study was to determine whether teachers trained via an in-service training would be able to conduct trial-based FAs with high procedural integrity. We trained four teachers to conduct trial-based FAs using a combination of didactic teaching and practice with feedback. All four teachers improved performance following training. Performance remained above baseline levels during an in situ maintenance condition, but for three of four teachers, additional feedback was required to recapture performance observed immediately following training.


Teacher Education and Special Education | 2013

Using a Modified Pyramidal Training Model to Teach Special Education Teachers to Conduct Trial-Based Functional Analyses

S. Shanun Kunnavatana; Sarah E. Bloom; Andrew L. Samaha; Benjamin Lignugaris; Elizabeth Dayton; Shannon K. Harris

Functional behavioral assessments are commonly used in school settings to assess and develop interventions for problem behavior. The trial-based functional analysis is an approach that teachers can use in their classrooms to identify the function of problem behavior. The current study evaluates the effectiveness of a modified pyramidal training procedure in which special education program coordinators were taught to conduct trial-based functional analyses and then provided support to special education teachers who were taught to conduct trial-based functional analyses and to calculate, graph, and analyze data. After training, the teachers conducted the trial-based functional analysis with over 85% accuracy and demonstrated criterion performance analyzing and graphing data. Accuracy was maintained during in-situ generalization probes conducted with two of the teachers.


Journal of Applied Behavior Analysis | 2012

Effects of Preference and Reinforcer Variation on Within-Session Patterns of Responding.

Alice A. Keyl‐Austin; Andrew L. Samaha; Sarah E. Bloom; Megan A. Boyle

We examined correspondence between preference assessment outcome and within-session patterns of responding in one subject with autism. Responding maintained by a single highly preferred item resulted in a greater total number of responses, a slower decline in within-session response rates, and a greater proportion of short interresponse times compared to responding maintained by varied moderately preferred (MP) stimuli. Presenting varied MP stimuli within the same session produced greater levels and more sustained responding than presenting those same stimuli individually.


Journal of Applied Behavior Analysis | 2013

EVALUATION OF SOME COMPONENTS OF CHOICE MAKING

Tyra P. Sellers; Sarah E. Bloom; Andrew L. Samaha; Elizabeth Dayton; Joseph M. Lambert; Alice A. Keyl‐Austin

Providing access to choice-making opportunities is a useful addition to behavioral interventions, although the critical features of choice making may differ greatly across individuals. In this study, results of an initial 3-choice concurrent-operants preference assessment with 4 subjects with autism spectrum disorder suggested that 2 subjects preferred the choice-making condition and participated in subsequent assessments to examine the potential influences of reinforcer variability and differential access to high-preference reinforcers on their preferences for choice making. Two other subjects did not prefer the choice-making condition and participated in subsequent assessments to explore conditions under which they might prefer choice-making opportunities. Results suggested that a wide range of variables influenced preference for choice-making conditions.


Journal of Applied Behavior Analysis | 2017

Data presentation options to manage variability in physical activity research

Diego Valbuena; Bryon G. Miller; Andrew L. Samaha; Raymond G. Miltenberger

This paper presents seven tactics for managing the variability evident in some physical activity data. High levels of variability in daily step-count data from pedometers or accelerometers can make typical visual inspection difficult. Therefore, the purpose of the current paper is to discuss several strategies that might facilitate the visual interpretation of highly variable data. The seven strategies discussed in this paper are phase mean and median lines, daily average per week, weekly cumulative, proportion of baseline, 7-day moving average, change point detection, and confidence intervals. We apply each strategy to a data set and discuss the advantages and disadvantages.

Collaboration


Dive into the Andrew L. Samaha's collaboration.

Top Co-Authors

Avatar

Sarah E. Bloom

University of South Florida

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Megan A. Boyle

Missouri State University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Carrie S. W. Borrero

Johns Hopkins University School of Medicine

View shared research outputs
Researchain Logo
Decentralizing Knowledge