Adapting Parent–Child Interaction Therapy for Deaf Families That Communicate via American Sign Language: A Formal Adaptation Approach

While our field has made positive strides in adapting psychotherapeutic interventions for diverse groups of people, considerable work is still needed in this area. We present our formal adaptation procedure for parent–child interaction therapy (PCIT) with Deaf persons. This includes a review of the cultural adaptation process for psychological interventions, including PCIT, as well as an introduction to Deaf culture. Details regarding the specific adaptation of PCIT for Deaf persons are outlined. We found that the utilization of a clear framework to guide the cultural adaptation process facilitated careful consideration of the numerous linguistic and cultural variables involved, while maintaining integrity of the treatment model. While the current focus was on adapting PCIT for Deaf families who communicate via American Sign Language, this framework can also be applied to other populations and/or interventions.     

Traduction et adaptation du TEI-SF afin de documenter l’acceptabilité sociale de l’intervention comportementale intensive

Early intensive behavioral intervention is more widely used in large-scale community-based services in Autism Spectrum Disorder. There is an increased need to evaluate the social acceptability of these programs. The present study used a measure of social acceptability as part of a social validation procedure to evaluate a community-based EIBI offered in inclusive childcare, as well as two focused interventions associated with this program. To do so, the Treatment Evaluation Inventory Short-form (TEI-SF) questionnaire was adapted and translated to French. The validation results for the TEI-SF, as well as for the social acceptability of the EIBI programs and procedures, are presented. The results are the first evidence of the validity of the TEI-SF (adapted and translated to French), presenting scores of validity of intervention and a favourable perspective related to the early intensive behavioral intervention and opening the door to further research.     

Standard errors and confidence intervals for correlations corrected for indirect range restriction: A simulation study comparing analytic and bootstrap methods

A frequent topic of psychological research is the estimation of the correlation between two variables from a sample that underwent a selection process based on a third variable. Due to indirect range restriction, the sample correlation is a biased estimator of the population correlation, and a correction formula is used. In the past, bootstrap standard error and confidence intervals for the corrected correlations were examined with normal data. The present study proposes a large-sample estimate (an analytic method) for the standard error, and a corresponding confidence interval for the corrected correlation. Monte Carlo simulation studies involving both normal and non-normal data were conducted to examine the empirical performance of the bootstrap and analytic methods. Results indicated that with both normal and non-normal data, the bootstrap standard error and confidence interval were generally accurate across simulation conditions (restricted sample size, selection ratio, and population correlations) and outperformed estimates of the analytic method. However, with certain combinations of distribution type and model conditions, the analytic method has an advantage, offering reasonable estimates of the standard error and confidence interval without resorting to the bootstrap procedure's computer-intensive approach. We provide SAS code for the simulation studies.     

Discounting: A practical guide to multilevel analysis of choice data

Multilevel modeling provides the ability to simultaneously evaluate the discounting of individuals and groups by examining choices between smaller sooner and larger later rewards. A multilevel logistic regression approach is advocated in which sensitivity to relative reward magnitude and relative delay are considered as separate contributors to choice. Examples of how to fit choice data using multilevel logistic models are provided to help researchers in the adoption of these methods.     

Evidence for a relationship between trait gratitude and prosocial behaviour

Prosocial behaviour towards unrelated others is communally beneficial but can be individually costly. The emotion of gratitude mitigates this cost by encouraging direct as well as “upstream” reciprocity, thereby facilitating cooperation. A widely used method for measuring trait gratitude is the Gratitude Questionnaire (GQ6) [McCullough, M., Emmons, R., &; Tsang, J. (2002). The grateful disposition: A conceptual and empirical topography. Journal of Personality and Social Psychology, 82, 112–127. Retrieved from https://doi.org/10.1037/0022-3514.82.1.112]. Here we undertake an assessment of the external validity of the GQ6 by examining its relationship with two incentivized economic games that serve as face valid indices of generosity and reciprocity. In two studies (total N?=?501) we find that trait gratitude as measured by the GQ6 predicts greater donations in a charity donation task as well as greater transfers and returns in an incentivized trust game. These results support the hypothesis that individuals with higher trait gratitude are more generous and trusting on average, and provide initial evidence as to the predictive validity of the GQ6.     

The Construct Validity of the Work-Related Flow Inventory in a Sample of Australian Workers

The purpose of this study was to examine the construct validity of the WOrk-reLated Flow inventory (WOLF; Bakker, 2008). This instrument was administered to 711 men and women who were working in Queensland, Australia. The results from the confirmatory factor analysis showed that the WOLF has moderately acceptable construct validity, with the three-factor model being a borderline fit to the data. Tests of the convergent validity of the WOLF yielded satisfactory results. However, the analysis of the discriminant validity of the WOLF showed that the instrument poorly discriminated between work enjoyment and intrinsic work motivation. Follow-up exploratory factor analysis, using recommended procedures for determining the number of factors to extract, revealed a two-factor solution, with the work enjoyment and intrinsic work motivation items loading on the same factor. Drawing on literature on psychological flow and motivation, as well as the findings of the present study, questions are raised over the adequacy of the conceptual basis of the three-factor model of work-related flow, the discriminant validity of the WOLF subscales, and the appropriateness of the wording of several of this measure's items. Using alternative methods and measures to investigate flow in work settings is recommended.