Abstract
Symbols and Acronyms. Part 1. Introduction to Measurement. Measurement. Some Measurement Issues. Item Response Theory. Classical Test Theory. Latent Class Analysis. Summary. Part 2. The One-Parameter Model. Conceptual Development of the Rasch Model. The One-Parameter Model. The One-Parameter Logistic Model and the Rasch Model. Assumptions underlying the Model. An Empirical Data Set: The Mathematics Data Set. Conceptually Estimating an Individual's Location. Some Pragmatic Characteristics of Maximum Likelihood Estimates. The Standard Error of Estimate and Information. An Instrument's Estimation Capacity. Summary. Part 3. Joint Maximum Likelihood Parameter Estimation. Joint Maximum Likelihood Estimation.…
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Keywords
- Rasch model
- Estimation theory
- Item response theory
- Mathematics
- Model selection
- Statistics
- Metric (unit)
- Likelihood function
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