Introducing a Computerized Figural Memory Test Based on Automatic Item Generation : An Analysis With the Rasch Poisson Counts Model
Introducing a Computerized Figural Memory Test Based on Automatic Item Generation : An Analysis With the Rasch Poisson Counts Model
Lade...
Datum
2020
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
eISSN
item.preview.dc.identifier.isbn
Bibliografische Daten
Verlag
Schriftenreihe
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
EU-Projektnummer
Projekt
Open Access-Veröffentlichung
Sammlungen
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Frontiers in Psychology ; 11 (2020). - 945. - Frontiers Research Foundation. - eISSN 1664-1078
Zusammenfassung
An automatic item generator for figural memory test items called figumem was developed. It is available in R. A cognitive model allowed the generation of hypothetically parallel items within three difficulty levels determined by visual information load. In a pilot study, participants solved three items for each level of visual load. Within an item response theory approach, the Rasch Poisson counts model and modifications of it were fitted to the data. Results showed overall satisfying fit. Visual information load explained most of the variance in item difficulty. Differences in difficulty between items of the same family were comparatively low, displaying the utility of the item generator for the creation of parallel test forms. Implications, limitations, and suggestions for the use and extensions of figumem are discussed.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
150 Psychologie
Schlagwörter
figural memory, short-term memory, visual information load, parallel test forms, automatic item generation, item response theory, Rasch Poisson counts model
Konferenz
Rezension
undefined / . - undefined, undefined. - (undefined; undefined)
Zitieren
ISO 690
JENDRYCZKO, David, Laura BERKEMEYER, Heinz HOLLING, 2020. Introducing a Computerized Figural Memory Test Based on Automatic Item Generation : An Analysis With the Rasch Poisson Counts Model. In: Frontiers in Psychology. Frontiers Research Foundation. 11, 945. eISSN 1664-1078. Available under: doi: 10.3389/fpsyg.2020.00945BibTex
@article{Jendryczko2020-06-10Intro-49950, year={2020}, doi={10.3389/fpsyg.2020.00945}, title={Introducing a Computerized Figural Memory Test Based on Automatic Item Generation : An Analysis With the Rasch Poisson Counts Model}, volume={11}, journal={Frontiers in Psychology}, author={Jendryczko, David and Berkemeyer, Laura and Holling, Heinz}, note={Article Number: 945} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/49950"> <dc:contributor>Berkemeyer, Laura</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49950/3/Jendryczko_2-cwxinn28mt3w1.pdf"/> <dc:language>eng</dc:language> <dc:contributor>Jendryczko, David</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/49950"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/49950/3/Jendryczko_2-cwxinn28mt3w1.pdf"/> <dcterms:title>Introducing a Computerized Figural Memory Test Based on Automatic Item Generation : An Analysis With the Rasch Poisson Counts Model</dcterms:title> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dc:creator>Jendryczko, David</dc:creator> <dcterms:abstract xml:lang="eng">An automatic item generator for figural memory test items called figumem was developed. It is available in R. A cognitive model allowed the generation of hypothetically parallel items within three difficulty levels determined by visual information load. In a pilot study, participants solved three items for each level of visual load. Within an item response theory approach, the Rasch Poisson counts model and modifications of it were fitted to the data. Results showed overall satisfying fit. Visual information load explained most of the variance in item difficulty. Differences in difficulty between items of the same family were comparatively low, displaying the utility of the item generator for the creation of parallel test forms. Implications, limitations, and suggestions for the use and extensions of figumem are discussed.</dcterms:abstract> <dc:contributor>Holling, Heinz</dc:contributor> <dcterms:issued>2020-06-10</dcterms:issued> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-06-22T07:29:02Z</dcterms:available> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-06-22T07:29:02Z</dc:date> <dc:rights>Attribution 4.0 International</dc:rights> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/> <dc:creator>Berkemeyer, Laura</dc:creator> <dc:creator>Holling, Heinz</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/"/> </rdf:Description> </rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Ja