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Discourse on measurement.
Proc Natl Acad Sci U S A
February 2025
Department of Psychology, University of Potsdam, Potsdam 14476, Germany.
Measurement literacy is required for strong scientific reasoning, effective experimental design, conceptual and empirical validation of measurement quantities, and the intelligible interpretation of error in theory construction. This discourse examines how issues in measurement are posed and resolved and addresses potential misunderstandings. Examples drawn from across the sciences are used to show that measurement literacy promotes the goals of scientific discourse and provides the necessary foundation for carving out perspectives and carrying out interventions in science.
View Article and Find Full Text PDFMindful self-compassion for lung cancer (MSC-LC): Incorporating perspectives of lung cancer patients, clinicians, and researchers to create an adapted intervention to reduce lung cancer stigma.
Transl Behav Med
January 2025
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Background: Stigma is a pervasive and distressing problem experienced frequently by lung cancer patients, and there is a lack of psychosocial interventions that target the reduction of lung cancer stigma. Mindful self-compassion (MSC) is an empirically supported intervention demonstrated to increase self-compassion and reduce feelings of shame and distress in non-cancer populations. However, there are several anticipated challenges for delivering MSC to lung cancer patients, and modifications may be needed to improve acceptability, appropriateness, and feasibility.
View Article and Find Full Text PDFAn Extended Langevinized Ensemble Kalman Filter for non-Gaussian Dynamic Systems.
Comput Stat
September 2024
Department of Statistics, Purdue University, West Lafayette, IN 47907.
State estimation for large-scale non-Gaussian dynamic systems remains an unresolved issue, given nonscalability of the existing particle filter algorithms. To address this issue, this paper extends the Langevinized ensemble Kalman filter (LEnKF) algorithm to non-Gaussian dynamic systems by introducing a latent Gaussian measurement variable to the dynamic system. The extended LEnKF algorithm can converge to the right filtering distribution as the number of stages become large, while inheriting the scalability of the LEnKF algorithm with respect to the sample size and state dimension.
View Article and Find Full Text PDFSwarmMAP: Swarm Learning for Decentralized Cell Type Annotation in Single Cell Sequencing Data.
bioRxiv
January 2025
Else Kroener Fresenius Center for Digital Health, Technical University Dresden, Fetscherstraße 74, Dresden, 01307, Saxony, Germany.
Rapid technological advancements have made it possible to generate single-cell data at a large scale. Several laboratories around the world can now generate single-cell transcriptomic data from different tissues. Unsupervised clustering, followed by annotation of the cell type of the identified clusters, is a crucial step in single-cell analyses.
View Article and Find Full Text PDFPopulation-level administrative data: A resource to advance psychological science.
Curr Dir Psychol Sci
December 2024
Centre of Methods and Policy Application in the Social Sciences (COMPASS), University of Auckland, New Zealand.
Population-level administrative data-data on individuals' interactions with administrative systems, such as healthcare, social-welfare, criminal-justice, and education systems-are a fruitful resource for research into behavior, development, and wellbeing. However, administrative data are underutilized in psychological science. Here, we review advantages of population-level administrative data for psychological research, with examples of advances in psychological theory arising from administrative-data studies.
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