Test Data Engineering Latent Rank Analysis, Biclustering, and Bayesian Network
This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data...
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| Format: | eBook |
| Language: | English |
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Singapore
Springer Nature Singapore
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Behaviormetrics: Quantitative Approaches to Human Behavior
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| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Concept of Test Data Engineering
- Test Data and Item Analysis
- Classical Test Theory
- Item Response Theory
- Latent Class Analysis
- Biclustering
- Bayesian Network Model