This meta-analysis investigated the relations between creative self-efficacy (CSE) and creativity measures and hypothesized that self-assessed questionnaires would have a different relation to self-efficacy beliefs compared to other creativity tests. The meta-analysis synthesized 60 effect sizes from 41 papers (overall N = 17226). Taken as a whole, the relation between CSE and creativity measures was of medium size (r = .39). Subgroup analyses revealed that self-rated creativity correlated higher with self-efficacy (r = .53). The relation with divergent thinking (DT) tests was weak (r = .23). Creativity scales had a medium size relation (r = .43), and was stronger than the relation to verbal performance tasks (r = .27) and figural performance tasks (r = .19). In a comparison between measures focusing on the creative person (r = .47), the creative product (r = .32), and the creative process (r = .27), the person aspect was most strongly linked to CSE. Thus, the relation between self-efficacy and creativity measures is dependent on the type of measurement used, emphasizing the need for researchers to distinguish between different instruments-not the least between self-report scales and more objective test procedures. Conceptual implications are discussed and critique concerning the creativity concept is brought up.

Purpose Insight has grown that for an organization to learn and change successfully, forgetting and unlearning are required. The purpose of this paper is to summarize the relevant existing body of empirical research on forgetting and unlearning, to encourage research using a greater variety of methods and to contribute to a more complementary body of empirical work by using designs and instruments with a stronger reference to previous studies. Design/methodology/approach As the number of theoretical papers clearly exceeds the number of empirical papers, the present paper deals with the main insights based on the empirical state of research on unlearning and forgetting. So far, these empirical results have shown relationships between unlearning and other organizational outcomes such as innovation on an organizational level, but many of the other proposed relationships have not been investigated. The authors presents suggestion to apply a larger variety of qualitative, quantitative and mixed methods in organizational research. Findings Unlearning and forgetting research can benefit both from more diverse theoretical questions addressed in research and from a more complementary body of empirical work that applies methods, designs and instruments that refer to previous research designs and results. To understand and manage unlearning and forgetting, empirical work should relate to and expand upon previous empirical work to form a more coherent understanding of empirical results. Originality/value The paper presents a variety of research designs and methods that can be applied within the research context of understanding the nature of organizational forgetting and unlearning. Additionally, it illustrates the potential for different methods, such as experience sampling methods, which capture the temporal aspects of forgetting and unlearning.

The (anti-Proton ANnihiliation at DArmstadt) experiment will be one of the four flagship experiments at the new international accelerator complex FAIR (Facility for Antiproton and Ion Research) in Darmstadt, Germany. will address fundamental questions of hadron physics and quantum chromodynamics using high-intensity cooled antiproton beams with momenta between 1.5 and 15 GeV/c and a design luminosity of up to 2 × 1032 cm−2 s−1. Excellent particle identification (PID) is crucial to the success of the physics program. Hadronic PID in the barrel region of the target spectrometer will be performed by a fast and compact Cherenkov counter using the detection of internally reflected Cherenkov light (DIRC) technology. It is designed to cover the polar angle range from 22° to 140° and will provide at least 3 standard deviations (s.d.) π/K separation up to 3.5 GeV/c, matching the expected upper limit of the final state kaon momentum distribution from simulation. This documents describes the technical design and the expected performance of the Barrel DIRC detector. The design is based on the successful BaBar DIRC with several key improvements. The performance and system cost were optimized in detailed detector simulations and validated with full system prototypes using particle beams at GSI and CERN. The final design meets or exceeds the PID goal of clean π/K separation with at least 3 s.d. over the entire phase space of charged kaons in the Barrel DIRC.

In the present article, we investigate predictors of how often a scientific article is cited. Specifically, we focus on the influence of two often neglected predictors of citation rate: effect size and sample size, using samples from two psychological topical areas. Both can be considered as indicators of the importance of an article and post hoc (or observed) statistical power, and should, especially in applied fields, predict citation rates. In Study 1, effect size did not have an influence on citation rates across a topical area, both with and without controlling for numerous variables that have been previously linked to citation rates. In contrast, sample size predicted citation rates, but only while controlling for other variables. In Study 2, sample and partly effect sizes predicted citation rates, indicating that the relations vary even between scientific topical areas. Statistically significant results had more citations in Study 2 but not in Study 1. The results indicate that the importance (or power) of scientific findings may not be as strongly related to citation rate as is generally assumed.

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