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ABA from A to Z: Behavior Science Applied to 350 Domains of Socially Significant Behavior.

ABSTRACT: Applied behavior analysis (ABA), the practical wing of behavior science, is defined by its focus on socially significant behavior and characterized by an assumed relevance to every domain of it. Although advocates claim ABA has world-changing potential, disagreements exist about how well the science has met its potential for far-ranging social significance. To advance this discussion, we present an extensive list of socially significant behavior domains to which ABA has given empirical attention. The list demonstrates the broad applicability of behavior analysis and suggests some themes future researchers could emphasize to help ABA achieve world-changing impact.

Supplementary information

The online version contains supplementary material available at 10.1007/s40614-022-00336-z.

SUBMITTER: Heward WL

PROVIDER: S-EPMC9163266 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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ABA from A to Z: Behavior Science Applied to 350 Domains of Socially Significant Behavior.

Heward William L WL Critchfield Thomas S TS Reed Derek D DD Detrich Ronnie R Kimball Jonathan W JW

Perspectives on behavior science 20220517 2

Applied behavior analysis (ABA), the practical wing of behavior science, is defined by its focus on socially significant behavior and characterized by an assumed relevance to every domain of it. Although advocates claim ABA has world-changing potential, disagreements exist about how well the science has met its potential for far-ranging social significance. To advance this discussion, we present an extensive list of socially significant behavior domains to which ABA has given empirical attention ...[more]

PMID: 35719874

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Project description:A time-series is any set of N time-ordered observations of a process. In veterinary epidemiology, our focus is generally on disease occurrence (the "process") over time, but animal production, welfare or other traits might also be of interest. A common source of time-series datasets are animal disease monitoring and surveillance systems. Here, we scan the application of methods to analyse time-series data in the peer-reviewed, published literature. Based on this literature scan we focus on autocorrelation and illustrate the recommended steps using ARIMA (Autoregressive Integrated Moving Average Models) methods via analysis of a time-series of canine parvovirus (CPV) events in a pet dog population in Australia, 2009 to 2015. We conclude by identifying the barriers to the application of ARIMA methods in veterinary epidemiology and suggest some possible solutions. In the literature scan the selected 37 studies focused mostly on infectious and parasitic diseases, predominantly for analytical, rather than descriptive or predictive, purposes. Trends and seasonality were investigated, and autocorrelation analyzed, in most studies, most commonly using R software. An approach to analyzing autocorrelation using ARIMA methods was then illustrated using a time-series (week and month units) of CPV events in a pet dog population in Australia, reported to a national companion animal disease surveillance system. This time-series was derived by summing veterinarian reports of confirmed CPV diagnoses. We present data analysis output generated via the R statistical environment, and make this code available for the reader to apply to this or other time-series datasets. We also illustrate prediction of CPV events by rainfall as a covariate. Time-series analysis using ARIMA methods to understand and explore autocorrelation appears to be relatively uncommon in veterinary epidemiology. Some of the reasons might include limited availability of data of sufficient time unit length, lack of familiarity with analytical methods and available software, and how to best use the information generated. We recommend that wherever feasible, such time-series data be made available both for analysis and for methods development.

Dataset Information

ABA from A to Z: Behavior Science Applied to 350 Domains of Socially Significant Behavior.

Supplementary information

Publications

ABA from A to Z: Behavior Science Applied to 350 Domains of Socially Significant Behavior.

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