| 1. | |
Test Theory | 1. Know the concept of Classical Test Theory. 2. Know the concept of Item Response Theory. 3. Differences between classical test theory and item response theory. |
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| 2. | |
Concepts, Models, and Features | 1. Understand the assumptions of IRT. 2. Know one-, two-, and three-parameter logistic models. 3. Know the Property of Invariance. |
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| 3. | |
ltem Parameter and Ability Estimation | 1. Know how to estimate the ability and item parameters. 2. Understand the standard errors of item parameter estimates. |
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| 4. | |
Assessment of Model-Data Fit | 1. Know the limitation of goodness-of-fit studies. 2. Understand the judgment about the fit based on 3 types of evidence |
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| 5. | |
The Ability Scale and True Score | 1. Understand the nature of the ability scale. 2. Know how to transform the theta scale. |
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| 6. | |
Item and Test Information and Efficiency Funcitons | 1. Understand the basic concepts of item information functions. 2. Understand the basic concepts of test information functions. |
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| 7. | |
Test Construction | 1. Know the test construction approach in CTT. 2. Know the test construction approach in IRT. |
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| 8. | |
Identification of Potentially Biased Test Items | 1. Understand the concept of differential item functioning. 2. Know the IRT methods for detecting differential item functioning. |
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| 9. | |
Test Score Equating | 1. Know the concept of test score equating. 2. Understand the classical methods of equating. 3. Understand the IRT methods of equating. |
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| 10. | |
Specifying the Characteristics of a test | 1. Know the concept of screening tests. 2. Know the concept of broad-ranged tests and peaked tests. 3. Know the concept of computer Adaptive Test |
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