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Bijker, M. (2010) Making Measures And Inferences Reserve

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Fontys University
Fontys University

Presentation of Monique Bijker (OU CELSTEC Learning & Cognition)

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MAKING MEASURES FOR ACCURATE INFERENCES MONIQUE BIJKER MARCEL VAN DER KLINK ELS BOSHUIZEN CELSTEC, OPEN UNIVERSITY OF THE NETHERLANDS
OVERVIEW ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PRACTICAL BACKGROUND ,[object Object]
TOWER OF BABEL ,[object Object],[object Object],[object Object],[object Object],[object Object]
VAGUENESS ,[object Object],[object Object]
FINDINGS BASED ON LITERATURE ,[object Object],[object Object],[object Object]
FINDINGS BASED ON LITERATURE ,[object Object],[object Object],[object Object],[object Object],[object Object]
UNADDRESSED QUESTIONS ,[object Object],[object Object],[object Object]
APPROACH ,[object Object],[object Object],[object Object],[object Object],[object Object]
WHY THE RASCH MODEL? ,[object Object],[object Object],[object Object],[object Object],[object Object]
SCALE DISTANCES AND ITEM CONTRIBUTIONS
OTHER PROBLEMS: DISORDERED THRESHOLDS
FORMULA ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DATA COLLECTION ,[object Object],[object Object],[object Object]
RESULTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SCALES SUCH AS TSE tem Infit Outfit Measure Error PTMEA Miscellaneous 83 and 84 are similar in ES and Psy. 80 is different in ES and Psy. 77 .82 .84 1.86 .13 .57 80 1.29 1.27 1.03 .14 .42 72 .74 .74 .90 .14 .70 84 .98 .91 .51A .14 .60 70 .64 .64 .22A .15 .69 71 .77 .75 .09A .15 .72 83 .99 .94 -.41A .15 .70 73 1.13 1.07 -1.10A .15 .54 78 .88 .82 -1.16 .15 .74 All items Mean .91 .89 .21 .15 Person Reliability .79 SD. .19 .18 .94 .01 Person Separation 1.91 All persons Item Reliability .97 Mean .89 .89 1.62 .62 Item Separation 6.24 SD .64 .64 1.35 .11 Cronbach alpha .82 Average measures 1 2 3 4 5 -1.96 -.61 .58 2.37 4.10 Step calibration measures -3.79 -1.95 1.19 4.55
 
 
 
 
Implications for practice ,[object Object],[object Object],[object Object]
Implications for future research ,[object Object],[object Object],[object Object],[object Object]
Rude questions… ,[object Object],[object Object],[object Object]
THANK YOU FOR YOUR ATTENTION. Any questions? [email_address]

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Bijker, M. (2010) Making Measures And Inferences Reserve

  • 1. MAKING MEASURES FOR ACCURATE INFERENCES MONIQUE BIJKER MARCEL VAN DER KLINK ELS BOSHUIZEN CELSTEC, OPEN UNIVERSITY OF THE NETHERLANDS
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  • 11. SCALE DISTANCES AND ITEM CONTRIBUTIONS
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  • 16. SCALES SUCH AS TSE tem Infit Outfit Measure Error PTMEA Miscellaneous 83 and 84 are similar in ES and Psy. 80 is different in ES and Psy. 77 .82 .84 1.86 .13 .57 80 1.29 1.27 1.03 .14 .42 72 .74 .74 .90 .14 .70 84 .98 .91 .51A .14 .60 70 .64 .64 .22A .15 .69 71 .77 .75 .09A .15 .72 83 .99 .94 -.41A .15 .70 73 1.13 1.07 -1.10A .15 .54 78 .88 .82 -1.16 .15 .74 All items Mean .91 .89 .21 .15 Person Reliability .79 SD. .19 .18 .94 .01 Person Separation 1.91 All persons Item Reliability .97 Mean .89 .89 1.62 .62 Item Separation 6.24 SD .64 .64 1.35 .11 Cronbach alpha .82 Average measures 1 2 3 4 5 -1.96 -.61 .58 2.37 4.10 Step calibration measures -3.79 -1.95 1.19 4.55
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  • 24. THANK YOU FOR YOUR ATTENTION. Any questions? [email_address]