Publications by authors named "Sandra Grinschgl"

Article Synopsis
  • This study examined the effectiveness and reliability of study preregistration in psychology by analyzing 300 research studies to see how closely they followed their preregistered plans.
  • The findings revealed that many preregistrations lacked essential methodological details and frequently deviated from their original plans, which suggests that research biases are still possible.
  • To enhance the accuracy and utility of preregistration, the authors recommend improved training for researchers, more detailed registration templates, and better transparency in reporting deviations.
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Journal editors have a large amount of power to advance open science in their respective fields by incentivising and mandating open policies and practices at their journals. The Data PASS Journal Editors Discussion Interface (JEDI, an online community for social science journal editors: www.dpjedi.

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The emergence of large-scale replication projects yielding successful rates substantially lower than expected caused the behavioural, cognitive, and social sciences to experience a so-called 'replication crisis'. In this Perspective, we reframe this 'crisis' through the lens of a credibility revolution, focusing on positive structural, procedural and community-driven changes. Second, we outline a path to expand ongoing advances and improvements.

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With advances in new technologies, the topic of cognitive enhancement has been at the center of public debate in recent years. Various enhancement methods (e.g.

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Various modern tools, such as smartphones, allow for cognitive offloading (i.e., the externalization of cognitive processes).

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In recent years, the scientific community has called for improvements in the credibility, robustness and reproducibility of research, characterized by increased interest and promotion of open and transparent research practices. While progress has been positive, there is a lack of consideration about how this approach can be embedded into undergraduate and postgraduate research training. Specifically, a critical overview of the literature which investigates how integrating open and reproducible science may influence is needed.

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In the present article, we explore prospects for using artificial intelligence (AI) to distribute cognition cognitive offloading (i.e., to delegate thinking tasks to AI-technologies).

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With the rise of new technologies, also human enhancement is widely discussed. Especially the philosophical movement "transhumanism" urges for creating "better humans" by applying different enhancement methods, namely: pharmacological, current-based, and genetic enhancement as well as mind uploading. While the first three aim at enhancing human characteristics, mind uploading promises immortality by uploading one's brain onto an external storage medium.

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People's perceptions of their intelligence correlate only moderately with objective intelligence measures. On average, people overestimate themselves. According to the popular Dunning-Kruger effect, this is particularly true for low performers: across many domains, those in the lowest quartile overestimate their abilities the most.

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The cognitive load of many everyday life tasks exceeds known limitations of short-term memory. One strategy to compensate for information overload is cognitive offloading which refers to the externalization of cognitive processes such as reminder setting instead of memorizing. There appears to be remarkable variance in offloading behavior between participants which poses the question whether there is a common factor influencing offloading behavior across different tasks tackling short-term memory processes.

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Modern technical tools such as tablets allow for the temporal externalisation of working memory processes (i.e., cognitive offloading).

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The ubiquitous availability of technological aids requires individuals to constantly decide between either externalizing cognitive processes into these aids (i.e. cognitive offloading) or relying on their own internal cognitive resources.

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It is still poorly understood how unspecific effects peripheral to the supposed action mechanism of neurofeedback (NF) influence the ability to self-regulate one's own brain signals. Recently, skeptical researchers have even attributed the lion's part of therapeutic outcomes of NF to placebo and other psychosocial factors. Here, we investigated whether and by which mechanisms unspecific factors influence neural self-regulation during NF.

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