Abstract:Individuals with autism spectrum disorders (ASDs) have difficulty communicating in ways that are primarily for initiating and maintaining social relatedness (i.e., social communication). We hypothesized that the way researchers measured social communication would affect whether treatment effects were found. Using a best evidence review method, we found that treatments were shown to improve social communication outcomes approximately 54% of the time. The probability that a treatment affected social communicatio… Show more
“…For both of these potential treatment targets, we have replicated evidence that intervention can affect generalized outcomes in dyads with children with ASD (Kasari et al 2006; Mahoney and Perales 2005; Siller et al 2013). For intentional communication, there is evidence that treatments can facilitate highly generalized use of intentional communication in initially nonverbal or minimally verbal children with ASD, even for the most socially-motivated pragmatic functions (Ingersoll and Wainer 2013; Yoder et al 2014). For early receptive language, there is replicated evidence that treatments can influence highly generalized changes in children with ASD (Dawson et al 2010; Fava et al 2011).…”
Eighty-seven preschoolers with autism spectrum disorders who were initially nonverbal (under 6 words in language sample and under 21 parent-reported words said) were assessed at five time points over 16 months. Statistical models that accounted for the intercorrelation among nine theoretically- and empirically-motivated predictors, as well as two background variables (i.e., cognitive impairment level, autism severity), were applied to identify value-added predictors of expressive and receptive spoken language growth and outcome. The results indicate that responding to joint attention, intentional communication, and parent linguistic responses were value-added predictors of both expressive and receptive spoken language growth. In addition, consonant inventory was a value-added predictor of expressive growth; early receptive vocabulary and autism severity were value-added predictors of receptive growth.
“…For both of these potential treatment targets, we have replicated evidence that intervention can affect generalized outcomes in dyads with children with ASD (Kasari et al 2006; Mahoney and Perales 2005; Siller et al 2013). For intentional communication, there is evidence that treatments can facilitate highly generalized use of intentional communication in initially nonverbal or minimally verbal children with ASD, even for the most socially-motivated pragmatic functions (Ingersoll and Wainer 2013; Yoder et al 2014). For early receptive language, there is replicated evidence that treatments can influence highly generalized changes in children with ASD (Dawson et al 2010; Fava et al 2011).…”
Eighty-seven preschoolers with autism spectrum disorders who were initially nonverbal (under 6 words in language sample and under 21 parent-reported words said) were assessed at five time points over 16 months. Statistical models that accounted for the intercorrelation among nine theoretically- and empirically-motivated predictors, as well as two background variables (i.e., cognitive impairment level, autism severity), were applied to identify value-added predictors of expressive and receptive spoken language growth and outcome. The results indicate that responding to joint attention, intentional communication, and parent linguistic responses were value-added predictors of both expressive and receptive spoken language growth. In addition, consonant inventory was a value-added predictor of expressive growth; early receptive vocabulary and autism severity were value-added predictors of receptive growth.
“…In other words, we expect that whether or not boosts in treatment intensity will translate to better outcomes will often depend on child profiles (Warren et al, 2007). We have, in fact, observed conditional or “moderated” effects of treatment intensity for some highly generalized outcomes in a recent randomized controlled trial of an early communication intervention in young children with intellectual disabilities (Fey, Yoder, Warren, & Bredin-Oja, 2013; Yoder, Woynaroski, Fey, & Warren, 2014). Therefore, finding that more intensive treatment is better for a specific subgroup of students cannot be taken as evidence that more is better for all students.…”
Section: Effects Of Treatment Intensity Will Likely Vary According Tomentioning
confidence: 97%
“…By “optimal” effects, we specifically mean those effects on student skill and knowledge that are demonstrated across settings, activities, persons, materials, and interaction contexts. We have previously referred to these effects as highly generalized (Yoder, Bottema-Beutel, Woynaroski, and Sandbank, 2014). Educators universally hope to achieve these types of effects in their students, versus effects that do not generalize outside of intervention.…”
Section: Goal Of More Intense Treatment Is To Optimize Effects On Stumentioning
confidence: 99%
“…Educators universally hope to achieve these types of effects in their students, versus effects that do not generalize outside of intervention. We have previously referred to these effects, which we suspect may be dependent upon the features of the treatment context based on the way that they were measured in the study, as possibly context-bound (Yoder, et al, 2014). …”
Section: Goal Of More Intense Treatment Is To Optimize Effects On Stumentioning
confidence: 99%
“…In contrast, when there is not functional independence between conditions or when dependent variables readily reverse when the treatment is withdrawn, the change is potentially context-bound. More information about the important distinction between context-bound behavior change and highly generalized skill acquisition can be found in Yoder, Bottema-Beutel, Woynaroski, and Sandbank (2014).…”
Section: Research Design Measurement and Analysis Issues Related Tomentioning
Seven empirical studies from this special issue and an overview chapter are reviewed to illustrate several points about studying the possible effects of treatment intensity manipulations on generalized skill or knowledge acquisition in students with disabilities. First, we make a case in favor of studying intensity as separate from complexity and expense of treatment. Second, we encourage researchers to define dependent variables in a way that allows us to determine whether treatment intensity effects on child skills and knowledge are highly generalized versus potentially context bound. Third, we acknowledge that effects of treatment intensity on generalized knowledge and skills likely vary according to student characteristics. Finally, we discuss important research design and measurement issues that are relevant to isolating the likely conditional effects of treatment intensity on generalized outcomes.
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