3 Matching Annotations
  1. Aug 2022
  2. psyarxiv.com psyarxiv.com
    Scientific Trust, Risk Assessment, and Conspiracy Beliefs about COVID-19 - Four Patterns of Consensus and Disagreement between Scientific Experts and the German Public
    1
    1. jackiekrauss 29 Aug 2022

      Rothmund, T., Farkhari, F., Azevedo, F., & Ziemer, C.-T. (2020). Scientific Trust, Risk Assessment, and Conspiracy Beliefs about COVID-19—Four Patterns of Consensus and Disagreement between Scientific Experts and the German Public. PsyArXiv. https://doi.org/10.31234/osf.io/4nzuy

      is:preprint lang:en COVID-19 conspiracy conspiracy belief latent class analysis science communication trust in science behavioral science wellbeing Germany cautious deniers expert motivational behavior
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    psyarxiv.com/4nzuy/
  3. Feb 2022
  4. www.sciencedirect.com www.sciencedirect.com
    Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study
    1
    1. aidemoreto 17 Feb 2022
      incorporate their demographics, motivations (i.e. reasons for enrolling), engagement and learning outcomes to develop learner profiles. In that sense, a latent class analysis (LCA) is applied, an unsupervised machine learning technique

      methodology

      Latent Class Analysis LCA
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    sciencedirect.com/science/article/pii/S2666920X22000066
  5. Feb 2021
  6. jamanetwork.com jamanetwork.com
    Using Latent Class Analysis to Identify Hidden Clinical Phenotypes
    1
    1. sophia.sterckx 16 Feb 2021

      Mori, Makoto, Harlan M. Krumholz, and Heather G. Allore. ‘Using Latent Class Analysis to Identify Hidden Clinical Phenotypes’. JAMA 324, no. 7 (18 August 2020): 700–701. https://doi.org/10.1001/jama.2020.2278.

      is:article lang:en clinical phenotypes Latent class analysis LCA patients similar risk treatment statistical technique groups grouping treatment strategies identifying clusters
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    jamanetwork.com/journals/jama/fullarticle/2769454