Results 21 to 30 of about 727,973 (288)
Data from Investigating Variation in Replicability: A “Many Labs” Replication Project
This dataset is from the Many Labs Replication Project in which 13 effects were replicated across 36 samples and over 6,000 participants. Data from the replications are included, along with demographic variables about the participants and contextual ...
Richard A. Klein +50 more
doaj +1 more source
Reverse-Net: Few-Shot Learning with Reverse Teaching for Deformable Medical Image Registration
Multimodal medical image registration has an important role in monitoring tumor growth, radiotherapy, and disease diagnosis. Deep-learning-based methods have made great progress in the past few years.
Xin Zhang +3 more
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Most theories and hypotheses in psychology are verbal in nature, yet their evaluation overwhelmingly relies on inferential statistical procedures. The validity of the move from qualitative to quantitative analysis depends on the verbal and statistical expressions of a hypothesis being closely aligned—that is, that the two must refer to roughly the same
openaire +3 more sources
In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics ...
Hunmin Lee +4 more
doaj +1 more source
The low replicability of scientific studies has become an important issue. One possible cause is low representativeness of the experimental design employed.
Enrique Hernández-Arteaga, Anders Ågmo
doaj +1 more source
Clinical and epidemiologic investigations are paying increasing attention to the critical constructs of "representativeness" of study samples and "generalizability" of study results. This is a laudable trend and yet, these key concepts are often misconstrued and conflated, masking the central issues of internal and external validity. The authors define
Walter A, Kukull, Mary, Ganguli
openaire +2 more sources
Structural, item, and test generalizability of the psychopathology checklist - revised to offenders with intellectual disabilities [PDF]
The Psychopathy Checklist–Revised (PCL-R) is the most widely used measure of psychopathy in forensic clinical practice, but the generalizability of the measure to offenders with intellectual disabilities (ID) has not been clearly established.
Michie, Christine +6 more
core +1 more source
Person, population, mechanism. A rejoinder to critics and an elaboration of the three-branch model
In a previous paper (Lundh, 2023), it was argued that psychological science can be seen as having three main branches, corresponding to three levels of research: research at the person level, at the population level, and at the mechanism level.
Lars-Gunnar Lundh
doaj +1 more source
Animal cognition research often involves small and idiosyncratic samples. This can constrain the generalizability and replicability of a study’s results and prevent meaningful comparisons between samples.
Benjamin G. Farrar +2 more
doaj +1 more source
In the presence of heterogeneity between the randomized controlled trial (RCT) participants and the target population, evaluating the treatment effect solely based on the RCT often leads to biased quantification of the real-world treatment effect.
Lee Dasom, Yang Shu, Wang Xiaofei
doaj +1 more source

