Job Analysis Rating Analysis via Item Response Theory - IPAC

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Contact InformationBruce Davis, Ph.D.241 Lathrop WayCooperative Personnel ServicesSacramento, CA 95815Phone: (916) 263-3624 ext. 3067Fax: (916) 561-7267e-mail: bruce@cps.ca.govWebsite: www.cps.ca.gov
Scale discriminates between the persons well.<strong>Item</strong>s create a well defined variable (.96).Outfit Mean of -.3 indicates less than expected; and more variability in the fit of these persons asexpected.Review outliers in summary statistics.<strong>Item</strong> outfit of -.5 responses are more consistent than the model expects. S.D. suggests that there aresome misfitting items.
Page 1 and 2: Job Analysis Rating Analysisvia Ite
Page 3 and 4: Despite Importance …• Perceived
Page 5 and 6: Why Item Response Theory?• Rasch
Page 7 and 8: ResultsTwo assumptions of Rasch mod
Page 9 and 10: Summary of Measured Items (Item Rel
Page 11 and 12: #12 Locates Hidden Fire by Feeling
Page 13 and 14: PERSONSMAP OF ITEMS|4 X +|||||3 +||
Page 15 and 16: EXPECTED SCORE: MEAN (":" INDICATES
Page 17 and 18: MOST MISFITTING RESPONSE STRINGSITE
Page 19 and 20: GUTTMAN SCALOGRAM OF RESPONSES:PERS
Page 21: Conclusions• Rasch model assumes

Job Analysis Rating Analysis via Item Response Theory - IPAC

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