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Journal ArticleDOI

The validity of individual Rorschach variables: Systematic reviews and meta-analyses of the comprehensive system.

TLDR
The findings are less positive, more nuanced, and more inclusive than those reported in the CS test manual, and the implications for research and clinical practice, including the importance of using different methods in order to improve the understanding of people.
Abstract
We systematically evaluated the peer-reviewed Rorschach validity literature for the 65 main variables in the popular Comprehensive System (CS). Across 53 meta-analyses examining variables against externally assessed criteria (e.g., observer ratings, psychiatric diagnosis), the mean validity was r = .27 (k = 770) as compared to r = .08 (k = 386) across 42 meta-analyses examining variables against introspectively assessed criteria (e.g., self-report). Using Hemphill's (2003) data-driven guidelines for interpreting the magnitude of assessment effect sizes with only externally assessed criteria, we found 13 variables had excellent support (r ≥ .33, p 50), 17 had good support (r ≥ .21, p .05), and 12 had no construct-relevant validity studies. The variables with the strongest support were largely those that assess cognitive and perceptual processes (e.g., Perceptual-Thinking Index, Synthesized Response); those with the least support tended to be very rare (e.g., Color Projection) or some of the more recently developed scales (e.g., Egocentricity Index, Isolation Index). Our findings are less positive, more nuanced, and more inclusive than those reported in the CS test manual. We discuss study limitations and the implications for research and clinical practice, including the importance of using different methods in order to improve our understanding of people.

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Standards for educational and psychological testing

TL;DR: For example, Standardi pružaju okvir koje ukazuju na ucinkovitost kvalitetnih instrumenata u onim situacijama u kojima je njihovo koristenje potkrijepljeno validacijskim podacima.
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Making replication mainstream

TL;DR: There are no theoretical or statistical obstacles to making direct replication a routine aspect of psychological science, and the need for an integrative summary of replication studies is addressed.
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Interpersonal Dynamics in Personality and Personality Disorders

TL;DR: In clinical personality psychology, available evidence supports a transition from the cur... as discussed by the authors suggests that clinical and basic personality psychologists interact less than they should, given their similar interests, and that they should interact more appropriately.
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Faces in the Clouds

TL;DR: White-space face responses on Rorschach cards have been found to be the face of cradle-to-grave object-seeking needs, contributing to identity formation as mentioned in this paper.
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Stability and Change in Personality Disorders

TL;DR: It is concluded that no single answer can be given to the question, "How stable are PDs?" and that future research and classification need to consider carefully and account for the complexity of this question.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
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Common method biases in behavioral research: a critical review of the literature and recommended remedies.

TL;DR: The extent to which method biases influence behavioral research results is examined, potential sources of method biases are identified, the cognitive processes through which method bias influence responses to measures are discussed, the many different procedural and statistical techniques that can be used to control method biases is evaluated, and recommendations for how to select appropriate procedural and Statistical remedies are provided.
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A power primer.

TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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