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[journal article]

dc.contributor.authorRist, Fredde
dc.contributor.authorEngberding, Margaritade
dc.contributor.authorHoecker, Annade
dc.contributor.authorWolf-Lettmann, Johannede
dc.contributor.authorFischbach, Eva-Mariade
dc.date.accessioned2025-03-11T07:58:41Z
dc.date.available2025-03-11T07:58:41Z
dc.date.issued2023de
dc.identifier.issn1664-1078de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/100556
dc.description.abstractDetection and treatment of clinically relevant forms of procrastination would be greatly facilitated by diagnostic criteria as formulated for psychological disorders in the Diagnostic and Statistical Manual (DSM-5). In the present article, the steps for deriving and validating diagnostic criteria for pathological procrastination are described. In an online survey of a random sample of N = 10,000 German university students, 990 answered 13 items derived from the attempts in the literature to define procrastination, the Aitken Procrastination Inventory (API) and the Patient Health Questionnaire (PHQ-9). A subset of six items related to the first factor onset delay of the API was selected by Best Subset Multiple Regression (BSMR). A latent class analysis (LCA) of these six items sorted the students into six clusters. A cluster of pathological procrastinators (10%) was separated from the clusters of less impaired habitual, average, and occasional delayers. In addition, a cluster of unconcerned delayers (10%), with strong procrastination tendencies but little personal disadvantages, and a small cluster of fast performers (2%) emerged. The pathological procrastinators differed from all other clusters significantly on nine of the 13 items. They were older, had studied longer but had fulfilled less of their study obligations and were more depressed. The answer options of the six questions were collapsed into two categories (procrastination feature present for at least half a year or absent). These criteria were used for the clinical diagnosis of pathological procrastination. For a diagnosis, two fixed criteria (delaying important tasks needlessly and strong interference with personal goals) plus at least two of four additional criteria (time spent procrastinating, time pressure, physical and psychological complaints, below performance potential) must be met. This diagnostic rule captured 92% from the cluster of pathological procrastinators and 10% of the habitual delayers, but no one from the remaining clusters. Using these diagnostic criteria for clinical diagnosis and intervention decisions will facilitate the comparison and integration of the results from future studies of procrastination.de
dc.languageende
dc.subject.ddcPsychologiede
dc.subject.ddcPsychologyen
dc.subject.otherpathological procrastination; diagnostic criteria; treatment indication; latent class analysis; chronic procrastination; assessment; Deutsche Version der Aitken Procrastination Scale (APS-d) (ZIS 111)de
dc.titleDiagnostic criteria to differentiate pathological procrastinators from common delayers: a re-analysisde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalFrontiers in Psychology
dc.source.volume14de
dc.publisher.countryCHEde
dc.subject.classozpsychische Störungen, Behandlung und Präventionde
dc.subject.classozPsychological Disorders, Mental Health Treatment and Preventionen
dc.subject.classozpsychologische Diagnostik und Beratung, psychologische Methodende
dc.subject.classozPsychological Testing, Psychological Counseling, Psychological Methodologyen
dc.subject.thesozpsychische Gesundheitde
dc.subject.thesozmental healthen
dc.subject.thesozPathologiede
dc.subject.thesozpathologyen
dc.subject.thesozpsychische Störungde
dc.subject.thesozmental disorderen
dc.subject.thesozDepressionde
dc.subject.thesozdepressionen
dc.subject.thesozPsychodiagnostikde
dc.subject.thesozpsychodiagnosticsen
dc.subject.thesozStudentde
dc.subject.thesozstudenten
dc.subject.thesozArbeitsverhaltende
dc.subject.thesozwork habitsen
dc.subject.thesozZeitfaktorde
dc.subject.thesoztime factoren
dc.subject.thesozquantitative Methodede
dc.subject.thesozquantitative methoden
dc.subject.thesozCluster-Analysede
dc.subject.thesozcluster analysisen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.identifier.urnurn:nbn:de:0168-ssoar-100556-9
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10055619
internal.identifier.thesoz10054226
internal.identifier.thesoz10054529
internal.identifier.thesoz10040750
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-23de
internal.identifier.classoz10708
internal.identifier.classoz10707
internal.identifier.journal790
internal.identifier.document32
internal.identifier.ddc150
dc.identifier.doihttps://doi.org/10.3389/fpsyg.2023.1147401de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.validfalse
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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