Alliance-Outcome Associations in a Community-Based Social Skills Intervention for Youth With Autism Spectrum Disorder

Although the alliance is a consistent predictor of treatment outcomes in psychosocial interventions, few studies have examined this association among youth with autism spectrum disorder (ASD). In particular, youth-therapist alliance has never been examined in social skills interventions (SSIs), a common modality for this population. In this study, thirty-four youth with ASD (M_age = 12.41; 79% male) participated in a community-delivered, group-based SSI in a summer camp format led by eight Head Therapists (M_age = 32.12; 50% male). Early alliance and change in alliance over the course of the treatment were assessed via self- and observer-reported measures. Both self- and observer-rated alliance were associated with positive treatment outcomes as reported by parents (decreased problem behaviors) and other peers in the group (reciprocated friendship and social preference). These results provide the first evidence of the role of the alliance in an SSI for youth with ASD and add to the growing body of literature that demonstrates the importance of assessing and addressing the alliance in treatment for this population.     

Together Helping Reduce Youth Violence for Equity (ThrYve): Examining the Development of a Comprehensive Multisectoral Approach to Youth Violence Prevention

Comprehensive approaches to youth violence prevention are needed to simultaneously address multiple risk factors across socioecological levels. ThrYve (Together Helping Reduce Youth Violence for Equity) is a collaborative initiative focused on addressing broader factors influencing youth violence, including social determinants of health. Using a participatory approach, the development of ThrYve is examined through an empirical case study. Through a Systems Advisory Board (SAB), ThrYve deploys multiple strategies that support cross-sector collaboration involving over 40 partners across 13 community sectors. Based on the Institute of Medicine’s model for public health action in communities, the SAB identified 87 change levers (i.e., program, policy, practice changes) to support community and systems-level improvements. As a result of the collaborative process, in the first couple of years, ThrYve facilitated 85 community actions and changes across sectors. The changes aligned with identified risk and resilience needs of the youth served in the community. The findings further support prior research, which suggests disparities related to gender may influence risk and resilience factors for youth violence. The study also indicates the importance of continuing to examine academic performance as a factor related to youth resilience.     

Remembering changes: repetition effects in face recollection.

Two experiments examined effects of repetition and change on states of awareness in face recognition. Participants studied repeatedly presented photographs of faces, with the second presentation following either immediately after the first presentation (massed repetition) or following six intervening items (spaced repetition). To manipulate perceptual change, each repeated face was either identical or a mirror image of the first presentation. Subsequently, when recognising a face, participants indicated whether they consciously recollected its prior occurrence ("remembering") or recognised it on the basis of familiarity ("knowing"). Changes in appearance between repeated faces enhanced remember, but not know, responses, and these effects were accentuated for spaced, rather than massed, repetition. These findings suggest that distinctiveness of encoding supports the phenomenological experience of conscious remembering.     

On normal theory based inference for multilevel models with distributional violations

Data in social and behavioral sciences are often hierarchically organized though seldom normal, yet normal theory based inference procedures are routinely used for analyzing multilevel models. Based on this observation, simple adjustments to normal theory based results are proposed to minimize the consequences of violating normality assumptions. For characterizing the distribution of parameter estimates, sandwich-type covariance matrices are derived. Standard errors based on these covariance matrices remain consistent under distributional violations. Implications of various covariance estimators are also discussed. For evaluating the quality of a multilevel model, a rescaled statistic is given for both the hierarchical linear model and the hierarchical structural equation model. The rescaled statistic, improving the likelihood ratio statistic by estimating one extra parameter, approaches the same mean as its reference distribution. A simulation study with a 2-level factor model implies that the rescaled statistic is preferable.This research was supported by grants DA01070 and DA00017 from the National Institute on Drug Abuse and a University of North Texas faculty research grant. We would like to thank the Associate Editor and two reviewers for suggestions that helped to improve the paper.     

Concise formulas for the standard errors of component loading estimates

Concise formulas for the asymptotic standard errors of component loading estimates were derived. The formulas cover the cases of principal component analysis for unstandardized and standardized variables with orthogonal and oblique rotations. The formulas can be used under any distributions for observed variables as long as the asymptotic covariance matrix for sample covariances/correlations is available. The estimated standard errors in numerical examples were shown to be equivalent to those by the methods using information matrices.The author is indebted to anonymous reviewers for the corrections and suggestions on this study, which have led to improvements of earlier versions of this article.     

Mechanisms of source confusion and discounting in short-term priming: 1. Effects of prime duration and prime recognition

Huber, Shriffrin, Lyle, and Ruys (2001) measured short-term repetition priming effects in perceptual identification with two-alternative forced-choice testing. There was a preference to choose repeated words following passive viewing of primes and a preference against choosing repeated words following active responding to primes. In this present study, we explored conditions of prime processing that produce this pattern of results. Experiment 1 revealed that increased prime duration under passive viewing instructions produces the active priming pattern. Experiment 2 assessed memory for primes: With poor recognition of primes, there was a strong preference for repeated words; however, with good recognition of primes, this preference was eliminated. These results are modeled by a computational theory of optimal decision making, responding optimally with unknown sources of evidence (ROUSE). In ROUSE, a preference for repeated words results from source confusion between primes and choice words. A reversal in the direction of preference arises from the discounting of words known to have also appeared as primes.     

How does background information improve memory for text content?

In two experiments, we investigated whether reading background information benefits memory for text content by influencing the amount of content encoded or the organization of the encoded content. In Experiment 1, half of the participants read background information about the issues to be discussed in the text material, whereas half did not. All the participants were then tested for free recall and cued recall of text content. Free recall was greater for individuals who read issue information than for those who did not. The groups did not differ on cued recall, suggesting that background information did not facilitate the encoding of more text content. Measures of representational organization indicated that increased recall in the issue information group resulted from better organization of content in memory. Experiment 2 extended these findings, using background information about text sources, demonstrated that the efficacy of background information depends on the semantic relationship between that information and text content.     

Recognition memory for source and occurrence: The importance of recollection

Previous recognition memory studies indicate that when both recollection and familiarity are expected to contribute to recognition performance (e.g., discriminating studied items from nonstudied items) the dual-process and the unequal-variance signal detection models provide comparable accounts of performance. When familiarity is not expected to be useful (e.g., when items from two equally familiar sources are discriminated between), the dual-process model provides a significantly better account of performance. In the present study, source recognition was tested under conditions in which familiarity could have been used to perform a list-discrimination task; participants were required to discriminate between strong studied items, weak studied items, and new items. The dual-process model provided a better account of performance than did the unequal-variance model. Moreover, the results indicated that the unequal-variance assumption in a single-process signal detection model was not a valid substitution for recollection and that recollection was used to make recognition judgments even when assessments of familiarity were useful.