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Fig 2 -
Jimmy van Rijt (12042045)
,
Debra Myhill (12042048)
,
Sven De Maeyer (288313)
,
Peter-Arno Coppen (12042051)
2022
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Fig 3 -
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Sven De Maeyer (288313)
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Peter-Arno Coppen (12042051)
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Explanation of the design principles from the Van Rijt et al. [56] study, adopted in the current study.
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Sven De Maeyer (288313)
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Peter-Arno Coppen (12042051)
2022
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Example of a question (see [29]) with the different multiple-choice options (translated from Dutch by the authors).
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Sven De Maeyer (288313)
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Peter-Arno Coppen (12042051)
2022
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Model comparison for the three core variables: Understanding score, blind score and no concept score.
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Sven De Maeyer (288313)
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Peter-Arno Coppen (12042051)
2022
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Mean and 95% Highest Density Interval (HDI) for the posterior distributions of the parameter estimates based on the best fitting models for understanding score (Model 5), blind sco...
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Sven De Maeyer (288313)
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Peter-Arno Coppen (12042051)
2022
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Axial codes and subcodes related to key assigment 1 (N = 196 students; N = 146 performed and readable tasks).
Jimmy van Rijt (12042045)
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Debra Myhill (12042048)
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Peter-Arno Coppen (12042051)
2022
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Axial codes and subcodes related to key assignment 2 (N = 196, N = 142 performed and readable tasks).
Jimmy van Rijt (12042045)
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Peter-Arno Coppen (12042051)
2022
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Axial codes and subcodes related to key assignment 3 (N = 196, T1: N = 123; T2: N = 121 performed and readable tasks).
Jimmy van Rijt (12042045)
,
Debra Myhill (12042048)
,
Sven De Maeyer (288313)
,
Peter-Arno Coppen (12042051)
2022
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Interview guide.
Bart A. C. Noort (11559195)
,
Taco van der Vaart (11559198)
,
Kees Ahaus (10509773)
2021
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Maaike A. Riedijk (10325956)
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Marije P. Hennus (6636773)
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Marijn Soeteman (10325962)
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Nikki J. Schoenmaker (10325959)
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Olle Ten Cate (10325965)
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Tim Fawns (4670755)
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Imming, Melanie
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Verheul, Ingeborg
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Debra Myhill (12042048)
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Jimmy van Rijt (12042045)
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Peter-Arno Coppen (12042051)
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Sven De Maeyer (288313)
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Duchesnes, Christiane
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Macq, Jean
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Mordant, Annemie
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Pronk, Martine
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Bart A. C. Noort (11559195)
7
Cristina Barbu (11565293)
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Kees Ahaus (10509773)
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Martine Poncelet (2588746)
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Sophie Gillet (11565290)
7
Taco van der Vaart (11559198)
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Belche, Jean-Luc
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Crismer, André
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Karam, Marlène
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Ploeg, Jan-Lucas van der
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Ringerma, Jacquelijn
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Turdımuratova Biybigul Baymuratovna
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C.M.J. van Boven
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Casper D. J. Den Heijer (11624801)
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Christian J. P. A. Hoebe (8595729)
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Famke Houben (11624795)
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Mitch van Hensbergen (11624798)
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Nicole H. T. M. Dukers-Muijrers (9073572)
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Cuijpers, Pim
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De Cuypere, Ludovic
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Gerretsen, Barend
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Hermans, Noortje
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Roberts, Bayard
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Sijbrandij, Marit
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Sondorp, Egbert
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Uwe Krause
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Woodward, Aniek
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van Dijck, Jean-Philippe
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Belche, Jean Luc
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Borghans, Lex
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Bunt, Steven
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Schlagwörter
Science Policy
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Medicine
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Biological Sciences not elsewhere classified
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>
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xlink \
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Infectious Diseases
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Sociology
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Biotechnology
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Developmental Biology
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Biochemistry
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Biophysics
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CVI
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Cancer
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Delphi study Entrustable
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Dutch PICU fellows
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Dutch PICU physicians
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EPA
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PICU fellowship program directors
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PICU physicians
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content validity index
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round
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task force members
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Education
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Data Stewardship
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Netherlands
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RDM
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Research Support
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&# 8216
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additional qualitative analyses
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blind &# 8217
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blind concept use
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blindly &# 8217
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concept use
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dutch quasi
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e
11
explaining grammatical problems
11
found positive effects
11
gradual process
11
grammatical concepts
11
grammatical reasoning ability
11
grammatical understanding
11
great need
11
growing understanding
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improve grammatical understanding
11
inaccurate way )
11
increased &# 8216
11
increased grammatical understanding
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intervention tasks provided
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Dokumenttyp
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journalarticle
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journal article
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researchData
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report
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article in journal
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conferencePaper
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other
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1) data on contacts
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DataFile
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External research report
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Journal article
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L3
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Pre-registration
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Trabajo de grado - Pregrado
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and percentage of abnormal findings and referrals from the electronic patient record system; 2) survey data on nursing competences and roles; 3) focus group interviews (transcipts).
1
bookPart
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conferenceObject
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contributionToPeriodical
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dataset
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doc-type:article
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doctoralThesis
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percentage of children assigned to the trained nurse
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