dc.contributor.author | Ulitzsch, Esther | de |
dc.contributor.author | He, Qiwei | de |
dc.contributor.author | Ulitzsch, Vincent | de |
dc.contributor.author | Molter, Hendrik | de |
dc.contributor.author | Nichterlein, André | de |
dc.contributor.author | Niedermeier, Rolf | de |
dc.contributor.author | Pohl, Steffi | de |
dc.date.accessioned | 2023-02-07T14:35:45Z | |
dc.date.available | 2023-02-07T14:35:45Z | |
dc.date.issued | 2021 | de |
dc.identifier.issn | 1860-0980 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/85084 | |
dc.description.abstract | Complex interactive test items are becoming more widely used in assessments. Being computer-administered, assessments using interactive items allow logging time-stamped action sequences. These sequences pose a rich source of information that may facilitate investigating how examinees approach an item and arrive at their given response. There is a rich body of research leveraging action sequence data for investigating examinees’ behavior. However, the associated timing data have been considered mainly on the item-level, if at all. Considering timing data on the action-level in addition to action sequences, however, has vast potential to support a more fine-grained assessment of examinees’ behavior. We provide an approach that jointly considers action sequences and action-level times for identifying common response processes. In doing so, we integrate tools from clickstream analyses and graph-modeled data clustering with psychometrics. In our approach, we (a) provide similarity measures that are based on both actions and the associated action-level timing data and (b) subsequently employ cluster edge deletion for identifying homogeneous, interpretable, well-separated groups of action patterns, each describing a common response process. Guidelines on how to apply the approach are provided. The approach and its utility are illustrated on a complex problem-solving item from PIAAC 2012. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | action sequences; response times; complex problem solving; cluster editing; PIAAC 2012 | de |
dc.title | Combining Clickstream Analyses and Graph-Modeled Data Clustering for Identifying Common Response Processes | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Psychometrika | |
dc.source.volume | 86 | de |
dc.publisher.country | USA | de |
dc.source.issue | 1 | de |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Cluster-Analyse | de |
dc.subject.thesoz | cluster analysis | en |
dc.subject.thesoz | Assessment-Center | de |
dc.subject.thesoz | assessment center | en |
dc.subject.thesoz | Daten | de |
dc.subject.thesoz | data | en |
dc.subject.thesoz | Testauswertung | de |
dc.subject.thesoz | test evaluation | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-85084-7 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
ssoar.contributor.institution | FDB | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10035501 | |
internal.identifier.thesoz | 10054369 | |
internal.identifier.thesoz | 10034708 | |
internal.identifier.thesoz | 10060171 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 190-214 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2456 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.source.issuetopic | Special Issue on Network Psychometrics in Action | de |
dc.identifier.doi | https://doi.org/10.1007/s11336-020-09743-0 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |