Job Analysis Rating Analysis via Item Response Theory - IPAC

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Summary of Measured Persons (Person Reliability .96)RawModelScore Count Measure ErrorMean 83.8 54.2 .06 .20s.d. 36.8 4.7 1.25 .10Max. 161.0 55.0 4.04 1.27Min. 1.0 1.0 -3.29 .17INFITOUTFITMNSQ ZSTD MNSQ ZSTDMean 1.04 -.3 1.04 -.3s.d. .50 2.5 .49 2.3Max. 2.80 7.3 2.86 7.0Min. .00 -6.6 .00 -5.4
Summary of Measured <strong>Item</strong>s (<strong>Item</strong> Reliability .96)RawModelScore Count Measure ErrorMean 214.7 138.9 .00 .12s.d. 48.8 1.3 .68 .01Max. 315.0 141.0 2.00 .14Min. 78.0 133.0 -1.38 .11INFITOUTFITMNSQ ZSTD MNSQ ZSTDMean 1.01 -.7 1.05 -.5s.d. .55 3.7 .63 3.7Max. 3.03 9.9 3.16 9.9Min. .41 -6.9 .46 -5.6
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: ResultsTwo assumptions of Rasch mod
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 and 22: Conclusions• Rasch model assumes
Page 23: Scale discriminates between the per

Job Analysis Rating Analysis via Item Response Theory - IPAC

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