Behavior Momentum Theory and Humans: A Review of the Literature

Trump, Cary E.; Herrod, Jessica L.; Ayres, Kevin M.; Ringdahl, Joel E.; Best, L. L.

doi:10.1007/s40732-020-00430-1

Cited by 4 publications

(3 citation statements)

References 55 publications

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“…As an illustration, Fisher et al (2019) found that dense baseline schedules of reinforcement were associated with higher magnitudes of resurgence of severe problem behavior than were lean baseline schedules of reinforcement when therapists placed functional communicative responses (FCRs) on extinction. Although studies have shown that BMT predictions fall short of describing relapse phenomena, the model has spurred several lines of research (described below) on clinically viable approaches to relapse mitigation, and conceptual aspects of the model remain useful for directing some components of clinical practice (Craig & Shahan, 2016; Fisher, Greer, Craig, et al, 2018; Fisher, Greer, Fuhrman, et al, 2018; Lambert et al, 2016; Mace et al, 2010; Trump et al, 2021).…”

Section: Quantitative Theories and A Narrative Account Of Relapsementioning

confidence: 99%

Relapse and its mitigation: Toward behavioral inoculation

Kimball

Greer

Fuhrman

et al. 2023

J of App Behav Analysis

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Relapse following the successful treatment of problem behavior can increase the likelihood of injury and the need for more intensive care. Current research offers some predictions of how treatment procedures may contribute to relapse, and conversely, how the risk of relapse can be mitigated. This review describes relapse-mitigation procedures with varying levels of support, the quantitative models that have influenced the research on relapse mitigation, different experimental methods for measuring relapse mitigation, and directions for future research. We propose that by viewing the implementation of relapse-mitigation procedures as a means of producing behavioral inoculation, clinicians are placed in the proactive and intentional role of exposing their client's behavior to an array of reinforcement and stimulus conditions during treatment with the goal of decreasing the detrimental impact of future treatment challenges.

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Section: Quantitative Theories and A Narrative Account Of Relapsementioning

confidence: 99%

Relapse and its mitigation: Toward behavioral inoculation

Kimball

Greer

Fuhrman

et al. 2023

J of App Behav Analysis

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“…Data from behavioral persistence studies designed according to the Behavioral Momentum framework are diverse but do not exhaust all contingencies that organisms may be exposed to, especially when it comes to humans. For instance, little attention has been given to the role of verbal control on behavioral persistence (see Trump et al, 2021). To our knowledge, Podlesnik and Chase (2006) is the only study that investigated the influence of verbal control on resistance to change through a Behavioral Momentum framework (for a review of how instructions can affect behavior sensitivity under other frameworks, see Kissi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Behavioral resistance as function of different levels of instruction completeness

2022

RMAC

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“…Although the suppressive effects of both response‐dependent point loss and response force have been reported, neither has been evaluated in the context of BMT, which requires a relative assessment of the effects of the disruptive events (Craig et al, 2014; Grace, 2018; Luiz et al, 2019; Trump et al, 2021). Given the applicational importance of response‐reduction procedures and the paucity of research on these procedures in relation to BMT, the present experiments were designed to assess the relative persistence of differentially reinforced responding of humans as a function of point‐loss contingency and response force.…”

mentioning

confidence: 99%

Response‐dependent point loss and response force as disrupting operations on behavioral resistance to change in humans

Costa,

Luiz,

Carmona

et al. 2023

J Exper Analysis Behavior

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Behavioral momentum theory (BMT) provides a theoretical and methodological framework for understanding how differentially maintained operant responding resists disruption. A common way to test operant resistance involves contingencies with suppressive effects, such as extinction or prefeeding. Other contingencies with known suppressive effects, such as response‐cost procedures arranged as point‐loss or increases in response force, remain untested as disruptive events within the BMT framework. In the present set of three experiments, responding of humans was maintained by point accumulation programmed according to a multiple variable‐interval (VI) VI schedule with different reinforcement rates in either of two components. Subsequently, subtracting a point following each response (Experiment 1) or increasing the force required for the response to be registered (Experiments 2 and 3 decreased response rates, but responding was less disrupted in the component associated with the higher reinforcement rate. The point‐loss contingency and increased response force similarly affected response rates by suppressing responding and human persistence, replicating previous findings with humans and nonhuman animals when other types of disruptive events (e.g., extinction and prefeeding) were investigated. The present findings moreover extend the generality of the effects of reinforcement rate on persistence, and thus BMT, extending the analysis of resistance to two well‐known manipulations used to reduce responding in the experimental analysis of behavior.

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Behavior Momentum Theory and Humans: A Review of the Literature

Cited by 4 publications

References 55 publications

Relapse and its mitigation: Toward behavioral inoculation

Relapse and its mitigation: Toward behavioral inoculation

Behavioral resistance as function of different levels of instruction completeness

Response‐dependent point loss and response force as disrupting operations on behavioral resistance to change in humans

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