A descriptive analysis of self‐injury in community settings: exploring behaviour–behaviour contingencies

Courtemanche, Andrea B.; Lloyd, Blair P.; Tapp, Jon

doi:10.1111/jir.12485

Cited by 2 publications

(5 citation statements)

References 37 publications

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“…The three participants in this study engaged in frequent and sequentially dependent SIB across the majority of conditions and sessions. These results reproduce others’ results that have reported that for many individuals with SIB living in institutions and community settings, the best predictor of SIB is a previous instance of SIB (Courtemanche et al, 2018; Kemp et al, 2008; Marion et al, 2003; Sandman et al, 2008; Sandman, Touchette, Marion, Lenjavi, & Chicz-Demet, 2002).…”

Section: Discussionsupporting

confidence: 91%

“…For each participant, we obtained total frequencies of SIB for each session, which were then converted to a rate measure by dividing the total number of instances of SIB during each session by the duration of the session. We also used an event lag with pauses method of sequential analysis (Lloyd, Yoder, Tapp, & Staubitz, 2016) to estimate SIB–SIB contingencies for each session as described in Courtemanche et al (2018). For each session, in the MOOSES file, 10-s pause events were inserted to represent 10-s periods in which no SIB occurred.…”

Section: Methodsmentioning

confidence: 99%

“…Descriptive analyses of SIB in institution-like and community settings have revealed that for many individuals with IDD and chronic SIB, instances of SIB are likely to occur together in time (i.e., short inter-response times). Using sequential analysis methodologies, researchers have consistently demonstrated that across different groups of individuals with chronic SIB, a large majority of participants displayed strong sequential associations between instances of SIB (Courtemanche, Lloyd, & Tapp, 2018;Kemp et al, 2008;Marion, Touchette, & Sandman, 2003;Sandman, Touchette, Marion, & Chicz-DeMet, 2008), meaning that one instance of SIB is likely to predict a future instance. For example, Courtemanche et al (2018) used sequential analysis methods to estimate the likelihood of one instance of SIB being followed by an additional instance of SIB in adults who lived in community settings.…”

mentioning

confidence: 99%

“…For example, Courtemanche et al (2018) used sequential analysis methods to estimate the likelihood of one instance of SIB being followed by an additional instance of SIB in adults who lived in community settings. For seven individuals with chronic SIB, the best predictor of an instance of SIB was a previous instance of SIB.…”

mentioning

confidence: 99%

“…For example, Courtemanche et al. (2018) used sequential analysis methods to estimate the likelihood of one instance of SIB being followed by an additional instance of SIB in adults who lived in community settings.…”

mentioning

confidence: 99%

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Evaluating the relationship between the rate and temporal distribution of self-injurious behavior.

Courtemanche¹,

Piersma

Valdovinos

2019

Behavior Analysis: Research and Practice

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Self-injurious behavior (SIB) presents unique challenges as researchers have identified that some SIB may be resistant to treatment. The unit of analysis in this research is often the frequency of behavior with relatively little attention devoted to the analysis of inter-response time relations. We assessed whether changes in the rate of SIB were also associated with changes in the temporal distribution of this behavior in the presence and absence of systematically manipulated environmental variables. This study included three participants diagnosed with profound intellectual disabilities who engaged in SIB maintained by both negative and automatic reinforcement. For two of the participants, we used a multiple baseline design across participants to assess the effects of noncontingent access to preferred activities on both the rate and temporal distribution of SIB. For the third participant, we used a reversal design to assess the effects of a change in daily schedule (i.e., attending or not attending work) on the rate and temporal distribution of SIB. For all three participants, antecedent manipulations decreased the rate of SIB; however, operant contingency values (a measure of temporal distribution) did not change in a corresponding fashion. These data suggest that although antecedent manipulations may decrease the overall rate of the behavior, once SIB is emitted, additional instances are likely to occur close together in time. Keywords self-injurious behavior; sequential analysis; inter-response time Self-injurious behavior (SIB) can be defined as repetitive acts directed toward oneself that have the potential to cause direct or indirect physical damage (for comprehensive reviews see Rojahn, Schroeder, & Hoch, 2008; Schroeder, Oster-Granite, & Thompson, 2002). SIB occurs frequently among individuals with intellectual and developmental disabilities (IDD) (Poppes, van der Putten, & Vlaskamp, 2010) and is manifested in a variety of different topographies (Rojahn, 1994). Individual environmental and biological interactions, which are hypothesized to produce and maintain SIB, contribute to the complex nature of this

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