The purpose of this study is to obtain a more coherent picture of the relationship between creativity and schizotypy. A multilevel approach was used to ensure the statistical independence of multiple effect sizes from a single study. The mean effect size was r = .07 {SD = .20) based on the analyses from 45 articles yielding 268 effect sizes. The analyses, including five moderators (i.e., the type of schizotypy, measure of schizotypy, measure of creativity, content of creativity test, and index of creativity measure) within a three-level model, indicated that the type of schizotypy was the only significant predictor. Positive-Impulsive and Unspecified schizotypy each had positive relationships with creativity (r = .14, 95% CI = .12 and .17), whereas Negative-Disorganized schizotypy was negatively related (r = -.09, 95% CI = -.12, -.06). None of the creativity-related moderators explained the variation. Our findings revealed that the link between creativity and schizotypy is not uniform and that positive symptoms represent the intersection of creativity and schizotypy., 1

Current approaches to gifted identification suggest collecting multiple sources of evidence. Some gifted identification guidelines allow for the interchangeable use of performance and nonperformance identification methods. This multiple criteria approach lacks a strong overlap between the assessment tools; however, interchangeable use of the instruments (replacing one for another) entails high regularity. This meta-analytic review investigated the consistency of using performance and nonperformance identification methods by examining the influence of three moderators in two different study analyses. Study 1 focused on correlational and comparison studies by using Pearson r as the index of effect size within a three-level multilevel design. Study 2 was conducted with three diagnostic proportional metrics: efficiency, effectiveness/sensitivity, and specificity. Results from Study 1 indicated the overall correlation between the performance and nonperformance gifted identification methods was medium (r = .30). Teacher ratings yielded significantly higher consistency with performance measures than teacher or parent nomination and self-ratings. Study 2 showed that nonperformance methods are relatively strong in terms of specificity (70%) and effectiveness/sensitivity (59%) but not very efficient (39%). Analyses of four diagnostic quadrants indicated that performance and nonperformance gifted identification methods, when used alone, tend to identify different students who would not be identified otherwise despite some amount of convergence between the two. Our findings indicated that nonperformance and performance gifted identification methods cannot replace each other. They should be used concurrently rather than be used alone or consecutively.

No abstract

Abstract. The COVID-19 pandemic has had significant effects on public health. Previous studies showed that the fear of COVID-19 was positively correlated with depression, anxiety, and stress. This study aims to compile and meta-analyze the relationship between fear of COVID-19 and depression, anxiety, and stress among the general population. The studies published between March 2020 and June 2021 were scanned from various databases (Google Scholar, PubMed, Web of Science [ISI], and SCOPUS). As a result of the literature search, 746 studies were reached, 88 studies were found suitable, and 21 met the inclusion criteria. Comprehensive Meta-Analysis (CMA Version 3.0) and metafor package in R were used for analyses. A strong relationship was observed between the fear of COVID-19 and anxiety ( r = .55, p < .001); there were moderate relationships between the fear of COVID-19 and depression ( r = .34, p < .001) and stress ( r = .44, p < .001). All these relationships were significant. The results showed that the relationships between the fear of COVID-19 and depression, anxiety, and stress had a high level of heterogeneity. Meta-regression analyses revealed that the average of the sample age was a significant predictor of the relationship between fear of COVID-19 and anxiety. However, other covariates (female proportion and culture) were not statistically significant for the relationship between fear of COVID-19 and anxiety. None of these covariates was significant predictors of the relationship between fear of COVID-19 with depression and stress. Although the current meta-analysis has some limitations, the results revealed that the fear of COVID-19 is associated with mental health problems such as depression, anxiety, and stress.

No abstract