Careless responding, where participants do not fully engage with item content, is pervasive in survey research. Left undetected, carelessness can compromise the interpretation and use of survey results, including information about participant locations on the construct, item difficulty, and the psychometric quality of the instrument. We present and illustrate a sequential procedure for evaluating response quality in survey research using indicators from Mokken scale analysis (MSA). We use a real data illustration and a simulation study to compare a sequential procedure to a standalone procedure. We also consider how identifying and removing responses with evidence of poor measurement properties affects item quality indicators. Results suggest that the sequential procedure was effective in identifying potentially problematic response patterns that may not always be captured by traditional methods for identifying careless responders but was not always sensitive to specific carelessness patterns. We discuss implications for research and practice.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.3758/s13428-023-02147-9 | DOI Listing |
Nutrition
December 2024
Hacettepe University, Department of Internal Medicine, Division of Geriatric Medicine, Ankara, Turkey.
Background And Aim: Malnutrition is strongly related to mortality in intensive care unit (ICU) patients. The Patient- and Nutrition-Derived Outcome Risk Assessment Score (PANDORA) is a novel mortality prediction tool encompassing nutritional assessment. Since there is limited evidence regarding the power of PANDORA in predicting mortality in critically ill patients, we aimed to evaluate the benefit of adding PANDORA to the Global Leadership Initiative on Malnutrition (GLIM) for mortality prediction in the ICU setting by comparing it with the other valid mortality predictors.
View Article and Find Full Text PDFNeural Netw
December 2024
CAS Key Laboratory of GIPAS, University of Science and Technology of China, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China. Electronic address:
In MARL (Multi-Agent Reinforcement Learning), the trial-and-error learning paradigm based on multiple agents requires massive interactions to produce training samples, significantly increasing both the training cost and difficulty. Therefore, enhancing data efficiency is a core issue in MARL. However, in the context of MARL, agent partially observed information leads to a lack of consideration for agent interactions and coordination from an ego perspective under the world model, which becomes the main obstacle to improving the data efficiency of current proposed MARL methods.
View Article and Find Full Text PDFCirc Res
January 2025
Center for Genetic Medicine, the Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China (X.H., J.Z., C.X., R.C., P.J., X.J., P.H.).
Background: Cardiac ischemia/reperfusion disrupts plasma membrane integrity and induces various types of programmed cell death. The ESCRT (endosomal sorting complex required for transport) proteins, particularly AAA-ATPase Vps4a (vacuolar protein sorting 4a), play an essential role in the surveillance of membrane integrity. However, the role of ESCRT proteins in the context of cardiac injury remains unclear.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Introduction: The Sequential Organ Failure Assessment (SOFA) score is a widely utilized clinical tool for evaluating the severity of organ failure in critically ill patients and assessing their condition and prognosis in the intensive care unit (ICU). Research has demonstrated that higher SOFA scores are associated with poorer outcomes in these patients. However, the predictive value of the SOFA score for acute kidney injury (AKI), a common complication of diabetic ketoacidosis (DKA), remains uncertain.
View Article and Find Full Text PDFInt J Nanomedicine
January 2025
State Key Laboratory of Ophthalmology, Optometry and Visual Science, National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China.
Background: Developing carrier-free nanomedicines via self-assembly of two antitumor drug molecules is a potential strategy for enhancing the combination treatment of tumors. Similarly, conventional chemotherapy combined with photodynamic therapy may synergistically improve the antitumor effect while minimizing the adverse reactions associated with antitumor treatment. Hyaluronic acid (HA) can bind to overexpressed HA receptors on the tumor cell surface, increasing cell internalization and resulting in good tumor-targeting properties.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!