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Estimation proceeds using randomization-based approaches that are established in other disciplines and guarantee valid inference by construction. We compared the proposed methods with standard methods empirically using Monte Carlo simulation studies. We illustrated the method using publicly available data from an experiment assessing the effects of an anticonflict intervention among students' peer networks. The R scripts used to implement the proposed methods in the simulation studies and the applied example are freely available online. (PsycInfo Database Record (c) 2020 APA, all rights reserved).Research on individual variation has received increased attention. The bulk of the models discussed in psychological research so far, focus mainly on the temporal development of the mean structure. We expand the view on within-person residual variability and present a new model parameterization derived from classic multivariate GARCH models used to predict and forecast volatility in financial time-series. We propose a new pdBEKK and a modified dynamic conditional correlation (DCC) model that accommodate external time-varying predictors for the within-person variance. The main goal of this work is to evaluate the potential usefulness of MGARCH models for research in within-person variability. MGARCH models partition the within-person variance into, at least, 3 components An overall constant and unconditional baseline variance, a process that introduces variance conditional on previous innovations, or random shocks, and a process that governs the carry-over effects of previous conditional variance, similar to an AR model. These models allow for variance spillover effects from one time-series to another. We illustrate the pdBEKK- and the DCC-MGARCH on two individuals who have rated their daily positive and negative affect over 100 consecutive days. The full models comprised a multivariate ARMA(1,1) model for the means and included physical activity as moderator of the overall baseline variance. Overall, the pdBEKK seems to result in a more straightforward psychological interpretation, but the DCC is generally easier to estimate and can accommodate more simultaneous time-series. Both models require rather large amounts of datapoints to detect nonzero parameters. We provide an R-package bmgarch that facilitates the estimation of these types of models. (PsycInfo Database Record (c) 2020 APA, all rights reserved).We critique Roy et al.'s (2020; this issue) approach to characterizing the item-level factor structure of the three scales of the Triarchic Psychopathy Measure (TriPM), in light of the manner in which the TriPM scales were developed, the purposes they were designed to serve, and the growing body of evidence supporting their construct validity. We focus on three major points (1) The TriPM scales are item-based factor scales - i.e., item sets designed to index broad factors of larger multi-scale (parent) inventories; (2) item-level structural analysis can be useful for representing broad dimensions tapped by such scales, but it cannot be expected to provide an accurate picture of narrower subdimensions (facets) assessed by their parent inventories; and (3) it is critical to consider the nomological networks of the TriPM scales (and other triarchic scale measures) in appraising their effectiveness as operationalizations of the triarchic model constructs. We illustrate the first and second of these points by applying Roy et al.'s analytic approach to the trait scales of the NEO-FFI, which were developed to index broad personality dimensions of the multi-scale NEO-PI-R. We address the third point with reference to the growing body of literature supporting the construct validity of the TriPM scales and demonstrating their utility for advancing an integrative understanding of psychopathy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Background Despite the value trauma-focused cognitive-behavioral therapy (TF-CBT) places on caregivers being included in treatment, limited qualitative research has examined their experience with treatment. Thus, this research aimed to assess (a) overall caregiver satisfaction; (b) aspects of TF-CBT caregivers found most and least useful or thought could be improved; and (c) if satisfaction differed between caregivers of completers and noncompleters. Methods In total, 1,778 caregiver/child dyads were included. Caregivers of children receiving TF-CBT completed the Caregiver Satisfaction Questionnaire. To assess overall satisfaction, descriptive statistics were compiled. To assess what aspects of TF-CBT were most/least helpful or could be improved, thematic analysis was conducted. Finally, a t test was conducted to determine whether overall satisfaction with TF-CBT differed between caregivers who had children who did and did not complete treatment. Results Overall satisfaction with TF-CBT was high. [https://www.selleckchem.com/products/1-deoxynojirimycin.html read more] Qualitatively, caregivers reported PRACTICE components, communication between parties in treatment, the child learning coping skills, and the child experiencing positive outcomes as most helpful. Least helpful aspects included scheduling, not seeing positive outcomes, and the child and outside factors impeding treatment. When making suggestions for improvement, caregivers suggested changes in scheduling and session length/frequency, and an increase in their involvement. Quantitatively, caregivers of children who completed treatment experienced significantly higher total mean satisfaction scores than caregivers of noncompleters. Conclusions Caregiver satisfaction should be assessed during TF-CBT, with efforts made to identify and address key areas of concern caregivers may be experiencing. Focusing on caregiver satisfaction may prevent treatment attrition, allowing children to increasingly receive evidence-based care. (PsycInfo Database Record (c) 2020 APA, all rights reserved).Previous research documented positive associations between cognitively stimulating work and levels of cognitive performance, while longitudinal associations are less clear. We used 20-year longitudinal data from the Interdisciplinary Longitudinal Study of Adult Development and Aging (ILSE) to examine the role of perceived work environment (autonomy, innovation, social integration, and stress) and work activities derived from an occupational database (related to information, to people, and manual activities) for trajectories of cognitive abilities (processing speed, fluid and crystallized intelligence). We used data from 374 participants in the ILSE midlife cohort (born 1950-52) who were working at baseline and had valid observations on work characteristics and control variables including education, gender, region (former East vs. West Germany), and personal income (mean age at baseline = 44 years, SD = 1, 44% women). Cognitively stimulating perceived work environments (higher levels of autonomy and innovation), higher levels of work activities related to information and people, and lower levels of manual activity at baseline were related to higher initial levels of cognitive ability.