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Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000509
Abstract: Spectral clustering is a well-known method for clustering the vertices of an undirected network. Although its use in network psychometrics has been limited, spectral clustering has a close relationship to the commonly used walktrap algorithm.…
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Keywords:
network psychometrics;
walktrap algorithm;
spectral clustering;
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2
Published in 2023 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2023.2194606
Abstract: The local independence assumption states that variables are unrelated after conditioning on a latent variable. Common problems that arise from violations of this assumption include model misspecification, biased model parameters, and inaccurate estimates of internal…
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Keywords:
network;
local dependence;
variable analysis;
network psychometrics ... See more keywords
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Published in 2025 at "Educational and psychological measurement"
DOI: 10.1177/00131644251371187
Abstract: This study compares two network-based approaches for analyzing binary psychological assessment data: network psychometrics and latent space item response modeling (LSIRM). Network psychometrics, a well-established method, infers relationships among items or symptoms based on pairwise…
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Keywords:
space;
response;
assessment data;
network psychometrics ... See more keywords
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Published in 2025 at "Behavioral Sciences"
DOI: 10.3390/bs15091227
Abstract: The incorporation of educational robotics (ER) into classroom learning has emerged as a significant goal in contemporary education, with instructors assuming a pivotal role. Recent research has shown the influence of teachers’ perceptions of ER…
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Keywords:
robotics;
analysis;
measurement invariance;
network psychometrics ... See more keywords