Course outcomes measurement analysis using Rasch model for an engineering course

2011 ◽  
Author(s):  
Na Saibani ◽  
Nb Arsad ◽  
A. Ariffin ◽  
D. Wahab ◽  
A. A Azrilah
Keyword(s):  
Rasch Model ◽  
Outcomes Measurement ◽  
Measurement Analysis ◽  
Course Outcomes

Outcomes Measurement and Management: Collection of Data in University Clinics: A National Survey

2003 ◽  
Vol 13 (3) ◽  
pp. 13-15
Author(s):  
Karen Bailey-Jones ◽  
Rosemary B. Lubinski ◽  
D. Jeffery Higginbotham
Keyword(s):  
National Survey ◽  
Outcomes Measurement

Outcomes Measurement and Management

2005 ◽  
Vol 15 (2) ◽  
pp. 12-14
Author(s):  
Rose L. Allen ◽  
Michael Rastatter
Keyword(s):  
Outcomes Measurement

Positive Associations Primacy in the IAT

2011 ◽  
Vol 58 (5) ◽  
pp. 376-384 ◽  
Author(s):  
Pasquale Anselmi ◽  
Michelangelo Vianello ◽  
Egidio Robusto
Keyword(s):  
Implicit Association Test ◽  
Rasch Measurement ◽  
Normal Weight ◽  
Association Test ◽  
Primacy Effect ◽  
Implicit Association ◽  
Obese People ◽  
Measurement Analysis ◽  
Implicit Prejudice

Two studies investigated the different contribution of positive and negative associations to the size of the Implicit Association Test (IAT) effect. A Many-Facet Rasch Measurement analysis was applied for the purpose. Across different IATs (Race and Weight) and different groups of respondents (White, Normal weight, and Obese people) we observed that positive words increase the IAT effect whereas negative words tend to decrease it. Results suggest that the IAT is influenced by a positive associations primacy effect. As a consequence, we argue that researchers should be careful when interpreting IAT effects as a measure of implicit prejudice.

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