Using Confidence Intervals for Assessing Reliability of Real Tests.
Test authors report sample reliability values but rarely consider the sampling error and related confidence intervals. This study investigated the truth of this conjecture for 116 tests with 1,024 reliability estimates (105 pertaining to test batteries and 919 to tests measuring a single attribute)...
| Publicado en: | Assessment Vol. 26; no. 7; pp. 1207 - 1217 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138545544&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138545544 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10731911 G70 jtl: Assessment issn: 10731911 maglogo: Y pubinfo: dt: Oct2019 vid: 26 iid: 7 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 138545544 138545544 138545544 10.1177/1073191117737375 138545544 ppf: 1207 ppct: 10 formats: tig: atl: Using Confidence Intervals for Assessing Reliability of Real Tests. aug: au: Oosterwijk, Pieter R. van der Ark, L. Andries Sijtsma, Klaas affil: Court of Audit, The Hague, Netherlands sug: subj: Instrument Validation Reliability Evaluation Confidence Intervals Utilization Databases Quality Assessment ab: Test authors report sample reliability values but rarely consider the sampling error and related confidence intervals. This study investigated the truth of this conjecture for 116 tests with 1,024 reliability estimates (105 pertaining to test batteries and 919 to tests measuring a single attribute) obtained from an online database. Based on 90% confidence intervals, approximately 20% of the initial quality assessments had to be downgraded. For 95% confidence intervals, the percentage was approximately 23%. The results demonstrated that reported reliability values cannot be trusted without considering their estimation precision. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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