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Seite 76
The number is too small for picking up the best 27 % of subjects and the worst 27 % to do item analysis : to calculate the discrimination index ( ID ) and the difficulty index ( P ) . 102 students participated in Study II .
The number is too small for picking up the best 27 % of subjects and the worst 27 % to do item analysis : to calculate the discrimination index ( ID ) and the difficulty index ( P ) . 102 students participated in Study II .
Seite 80
The original purpose of item analysis is to keep the items with appropriate difficulty level and high discrimination ability . However , with the integative test like the C - test and the FC - test in this study , the elimination of ...
The original purpose of item analysis is to keep the items with appropriate difficulty level and high discrimination ability . However , with the integative test like the C - test and the FC - test in this study , the elimination of ...
Seite 184
D. System Design for Analysis Controliing Analysis Activities { \ G ? Controlling Change in price { WENU - PCP } Controlling Change in category of Quality Costs ( Wenu - ler ) Ad justing Change in Price { PRICE ) Ad just ing Prevention ...
D. System Design for Analysis Controliing Analysis Activities { \ G ? Controlling Change in price { WENU - PCP } Controlling Change in category of Quality Costs ( Wenu - ler ) Ad justing Change in Price { PRICE ) Ad just ing Prevention ...
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