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Results highlight culturally informed S&P's promotive and protective effects in the face of ethnic-racial discrimination. Implications for subsequent study of culturally based coping are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
The current study illustrates relations between three previously distinct coping strategies through their association with culturally informed S&P. Results highlight culturally informed S&P's promotive and protective effects in the face of ethnic-racial discrimination. Implications for subsequent study of culturally based coping are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).issing values that are missing not at random (MNAR) can result from a variety of missingness processes. However, two fundamental subtypes of MNAR values can be obtained from the definition of the MNAR mechanism itself. The distinction between them deserves consideration because they have characteristic differences in how they distort relationships in the data. This has implications for the validity of statistical results and generalizability of methodological findings that are based on data (empirical or generated) with MNAR values. However, these MNAR subtypes have largely gone unnoticed by the literature. As few studies have considered both subtypes, their relevance to methodological and substantive research has been overlooked. This article systematically introduces the two MNAR subtypes and gives them descriptive names. A case study demonstrates they are mechanically distinct from each other and from other missing-data mechanisms. Applied examples are given to help researchers conceptually identify MNAR subtypes in real data. Methods are provided to generate missing values from both subtypes in simulation studies. Simulation studies for regression and growth curve modeling contexts show MNAR subtypes consistently differ in the severity of their impact on statistical inference. This behavior is examined in light of how relationships in the data become characteristically distorted. The contents of this article are intended to provide a foundation and tools for organized consideration of MNAR subtypes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Computational modeling of cognition allows latent psychological variables to be measured by means of adjustable model parameters. The estimation and interpretation of the parameters are impaired, however, if parameters are strongly intercorrelated within the model. We point out that strong parameter interdependencies are especially likely to emerge in models that combine a subjective value function with a probabilistic choice rule-a common structure in the literature. We trace structural parameter interdependencies between value function and choice rule parameters across several prominent computational models, including models on risky choice (cumulative prospect theory), categorization (the generalized context model), and memory (the SIMPLE model of free recall). Using simulation studies with a generic choice model, we show that the accuracy in parameter estimation is hampered in the presence of high parameter intercorrelations, particularly the ability to detect group differences on the parameters and associations of the parameters with external variables. We demonstrate that these problems can be alleviated by using a different specification of stochasticity in the model, for example, by assuming parameter stochasticity or a constant error term. In addition, application to two empirical data sets of risky choice shows that alleviating parameter interdependencies in this way can lead to different conclusions about the estimated parameters. Our analyses highlight a common but often neglected problem of computational models of cognition and identify ways in which the design and application of such models can be improved. (PsycInfo Database Record (c) 2021 APA, all rights reserved).The Depressive Symptom Index-Suicidality Subscale (DSI-SS) is a four-item self-report measure of suicidal ideation severity widely used across research and clinical contexts. However, the psychometric properties of the English-language version of the DSI-SS have not been extensively examined within a psychiatric sample, and important properties of this scale (e.g., sensitivity to change) have yet to be examined. Siponimod in vivo Within a sample of 448 adult psychiatric patients enrolled in a partial hospital program (PHP), we examined several measurement properties of the DSI-SS, including its factor structure, internal consistency, validity, and sensitivity to change, as well as the presence of differential item functioning (DIF). Confirmatory factor analysis that specified a one-factor model indicated that the DSI-SS had good model fit. DSI-SS scores demonstrated good internal consistency, ω = .90 [95% CI = .89-.91], convergent validity (rs = .52-.74), discriminant validity (rs = .12-.27), and sensitivity to change. None of the four DSI-SS items evinced statistically significant DIF across age, gender, sexual orientation, or PHP referral source (i.e., outpatient step-up vs. inpatient step-down). These findings suggest that the DSI-SS is a psychometrically sound self-report measure that can be used in real-world clinical settings and research contexts to reliably and validly assess suicidal ideation severity. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Bordin's (1979) theory suggests that therapist techniques that call for client introspection and self-observation will be more effective when the working alliance (WA) is stronger. Psychodynamic therapists use expressive techniques to elicit this introspection and self-observation. We examined whether therapists' use of expressive skills (e.g., encouraging expression of thoughts and feelings; helping clients understand the reasons behind their thoughts, feelings, and behaviors) when the WA is high, versus low, was related to client outcome in open-ended, psychodynamic treatment. Ten therapists rated the WA with their 47 clients, who rated their perceptions of helping skills, after 2,284 counseling sessions. Clients also completed the Outcome Rating Scale (ORS) in reference to the week following each session. We examined time-ordered relationships by creating lagged variables for WA (T-2) and therapist expressive skills (TES; T-1) and used these scores to predict ORS ratings (T) in a three-level Hierarchical Linear Modeling (HLM) analysis (sessions nested within clients, nested within therapists).
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