From Clinic Room to Zoom: Delivery of an Evidence-Based, Parent-mediated Intervention in the Community Before and During the Pandemic.

Disruptive behaviors (DBs) are common in children with autism, affecting child and family quality of life. Parent-mediated interventions (PMIs) are a cost-effective and accessible way to decrease DBs. COVID-19 increased need for telehealth interventions. This study explored a group delivery of an evidence-based PMI (RUBI), delivered face-to-face and virtually in Israel, before and during the pandemic. Fifty-five families of children with autism and DB participated, 24 receiving face-to-face intervention and 31 receiving virtual. Outcome measures included the Aberrant Behavior Checklist and Home Situations Questionnaires. Results indicate reduction of DBs across groups, with > 50% of treatment-responders showing reliable change. This study is the first to assess RUBI outside the US among a sociodemographically diverse population, in both in-person and virtual contexts.

Dysfunctional implications of narrow window theory: variability in the intuitive assessment of correlation.

Narrow Window theory, suggested by Y. Kareev ten years ago, has so far focused on one central implication of the limited capacity of working memory on intuitive correlation estimation, namely, overestimation of the distal population correlation. This paper points to additional and perhaps more dramatic implications due to the large dispersion of intuitive estimates: (a) large estimation errors, possibly causing overestimation of negligible rhos, misses of strong rhos, and distorted hierarchies of the rhos between different pairs of variables; and (b) large interpersonal differences in the estimation of any given rho and highly incongruent hierarchies of estimated correlations between different pairs of variables. These implications impede both individuals' adaptation to the empirical world and communication among themselves.

The effect of working memory capacity limitations on the intuitive assessment of correlation: amplification, attenuation, or both?

This article challenges Yaakov Kareev's (1995a, 2000) argument regarding the positive bias of intuitive correlation estimates due to working memory capacity limitations and its adaptive value. The authors show that, under narrow window theory's primacy effect assumption, there is a considerable between-individual variability of the effects of capacity limitations on the intuitive assessment of correlation, in terms of both sign and magnitude: Limited capacity acts as an amplifier for some individuals and as a silencer for others. Furthermore, the average amount of attenuation exceeds the average amount of amplification, and the more so, the smaller the capacity. Implications regarding the applicability and contribution of the bias notion in this context and the evaluation of the adaptive value of capacity limitations are discussed.