Literature DB >> 35692532

Validating a Computerized Program for Supporting Visual Analysis During Functional Analysis: The Problem Behavior Multilevel Interpreter (PB.MI).

Z Kevin Zheng1, John Staubitz2, Joshua Jessel3, Tess Fruchtman3, Nilanjan Sarkar1.   

Abstract

Computerized programs have been specifically developed in the field of applied behavior analysis for the purpose of automating data collection. Although they can potentially improve practicality of data collection for applied researchers and clinicians, program features of existing computerized programs do not include graphs and data interpretation generated in real time. We developed the Problem Behavior Multilevel Interpreter (PB.MI), which is designed to (a) allow for ongoing visual analysis of data displayed in real time and (b) support visual analysis with a computerized interpretation of functional control. The program was intended to be used during the functional analysis of problem behavior, specifically the single-session, interview-informed synthesized contingency analysis. In this article, we describe the program's functioning abilities and how we validated those abilities. In addition, we discuss the PB.MI program's practical utility. Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-021-00656-7. © Association for Behavior Analysis International 2021.

Entities:  

Keywords:  automated data interpretation; computer-generated graphs; data collection; functional analysis; synthesized contingencies

Year:  2021        PMID: 35692532      PMCID: PMC9120334          DOI: 10.1007/s40617-021-00656-7

Source DB:  PubMed          Journal:  Behav Anal Pract        ISSN: 1998-1929


  16 in total

1.  Using modified visual-inspection criteria to interpret functional analysis outcomes.

Authors:  Henry S Roane; Wayne W Fisher; Michael E Kelley; Joanna L Mevers; Kelly J Bouxsein
Journal:  J Appl Behav Anal       Date:  2013

2.  A survey evaluation of the reliability of visual inspection and functional analysis graphs.

Authors:  Stacy E Danov; Frank J Symons
Journal:  Behav Modif       Date:  2008-05-15

3.  Interview-informed synthesized contingency analyses: Thirty replications and reanalysis.

Authors:  Joshua Jessel; Gregory P Hanley; Mahshid Ghaemmaghami
Journal:  J Appl Behav Anal       Date:  2016-05-13

4.  Interview-Informed Synthesized Contingency Analysis (IISCA): Novel Interpretations and Future Directions.

Authors:  Amanda L Coffey; Lesley A Shawler; Joshua Jessel; Maggie L Nye; Taylor A Bain; Michael F Dorsey
Journal:  Behav Anal Pract       Date:  2019-04-08

5.  Producing meaningful improvements in problem behavior of children with autism via synthesized analyses and treatments.

Authors:  Gregory P Hanley; C Sandy Jin; Nicholas R Vanselow; Laura A Hanratty
Journal:  J Appl Behav Anal       Date:  2014

6.  Description and Validation of a Computerized Behavioral Data Program: "BDataPro".

Authors:  Christopher E Bullock; Wayne W Fisher; Louis P Hagopian
Journal:  Behav Anal       Date:  2017-02-10

7.  Machine Learning for Supplementing Behavioral Assessment.

Authors:  Jordan D Bailey; Jonathan C Baker; Mark J Rzeszutek; Marc J Lanovaz
Journal:  Perspect Behav Sci       Date:  2021-01-09

8.  Machine Learning to Analyze Single-Case Data: A Proof of Concept.

Authors:  Marc J Lanovaz; Antonia R Giannakakos; Océane Destras
Journal:  Perspect Behav Sci       Date:  2020-01-21

9.  A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC).

Authors:  Zhaobo K Zheng; John E Staubitz; Amy S Weitlauf; Johanna Staubitz; Marney Pollack; Lauren Shibley; Michelle Hopton; William Martin; Amy Swanson; Pablo Juárez; Zachary E Warren; Nilanjan Sarkar
Journal:  Sensors (Basel)       Date:  2021-01-07       Impact factor: 3.576

10.  Interrater reliability: the kappa statistic.

Authors:  Mary L McHugh
Journal:  Biochem Med (Zagreb)       Date:  2012       Impact factor: 2.313

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