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Measures of explained variance, ΔR2 and f,2 are routinely used to evaluate the size of moderation effects. Crenolanib However, they suffer from several drawbacks (a) Not all the variance components of the outcome variable Y are related to the effect of moderation, and so an effect size with the total variance of Y as the denominator cannot accurately characterize the moderation effect; (b) moderation and interaction are conflated; and (c) the assumption of homoscedasticity might be violated when moderation exists. By arguing that measures for the size of moderation effect should be based on the variance of the outcome Y via the predictor variable X (i.e., X→Y), this article develops a new conceptualization of moderation effects that leads to 2 ways of defining new measures of moderation effects size. One is by using regression models that include the moderator, the predictor, and the product term sequentially. The other is based on a variance decomposition of the outcome variable Y. These new effect size measures effectively differentiate the role of the predictor variable from that of the moderator variable. Two empirical examples are provided to contrast the new measures against the traditional ΔR2 and f2, and to illustrate the applications of the new ones. R code is also provided for researchers to compute the new effect size measures. (PsycInfo Database Record (c) 2020 APA, all rights reserved).We investigated the reproducibility of the major statistical conclusions drawn in 46 articles published in 2012 in three APA journals. After having identified 232 key statistical claims, we tried to reproduce, for each claim, the test statistic, its degrees of freedom, and the corresponding p value, starting from the raw data that were provided by the authors and closely following the Method section in the article. Out of the 232 claims, we were able to successfully reproduce 163 (70%), 18 of which only by deviating from the article's analytical description. Thirteen (7%) of the 185 claims deemed significant by the authors are no longer so. The reproduction successes were often the result of cumbersome and time-consuming trial-and-error work, suggesting that APA style reporting in conjunction with raw data makes numerical verification at least hard, if not impossible. This article discusses the types of mistakes we could identify and the tediousness of our reproduction efforts in the light of a newly developed taxonomy for reproducibility. We then link our findings with other findings of empirical research on this topic, give practical recommendations on how to achieve reproducibility, and discuss the challenges of large-scale reproducibility checks as well as promising ideas that could considerably increase the reproducibility of psychological research. (PsycInfo Database Record (c) 2020 APA, all rights reserved).Individuals high in vindictive interpersonal problems tend to experience and express anger and irritability. In treatment, they have poor prognosis for alliance and outcome. We propose that positive expectation may serve as a moderating factor for these patients. In the current study, we examined the ability of expected alliance to act as a moderating factor in the early process and early progress of treatment for patients with vindictive interpersonal problems. A sample of 65 patients received short-term dynamic psychotherapy. At intake, before meeting the therapist, participants completed assessments for vindictive interpersonal problems and expected alliance. All therapy sessions were videotaped, and Session 2 was coded for confrontation ruptures. Early progress was assessed using the improvement from intake to Week 2 in the measure of distress from interpersonal relations. Our results show that, at high levels of vindictive interpersonal problems, higher expected alliance was associated with fewer confrontation ruptures. At high levels of vindictive interpersonal problems, higher expected alliance was associated with greater early improvement in distress from interpersonal relations. The findings demonstrate how positive expectations may function as a moderating factor that enables patients with vindictive tendencies to achieve a positive process and progress early in treatment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).Despite extensive evidence that time perspective is associated with a range of important outcomes across a variety of life domains (e.g., health, education, wealth), the question of why time perspective has such wide-reaching effects remains unknown. The present review proposes that self-regulatory processes can offer insight into why time perspective is linked to outcomes. To test this idea we classified measures of time perspective according to the dimension of time perspective that they reflected (e.g., past, present-hedonistic, future) and measures of self-regulation according to the self-regulatory process (i.e., goal setting, goal monitoring, and goal operating), ability, or outcome that they reflected. A systematic search identified 378 studies, reporting 2,000 tests of the associations between measures of time perspective and self-regulation. Random-effects meta-analyses with robust variance estimation found that a future time perspective had small-to-medium-sized positive associations with goal setting (r+ = 0.25), goal monitoring (r+ = 0.19), goal operating (r+ = 0.24), self-regulatory ability (r+ = 0.35), and outcomes (r+ = 0.18). Present time perspective, including being present-hedonistic and present-fatalistic, was negatively associated with self-regulatory processes, ability, and outcomes (r+ ranged from -0.00 to -0.27). Meta-analytic mediation models found that the relationship between future time perspective and outcomes was mediated by goal monitoring, goal operating, and self-regulatory ability, but not goal setting. As the first test of why time perspective is associated with key outcomes, the findings highlight the central role of self-regulation processes and abilities for understanding why people with certain time perspectives experience better outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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