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The course aims to equip students with the knowledge, information, and skills necessary to understand item discrimination in norm-referenced achievement tests. It also covers differentiating between classical and modern test theory, enumerating methodological issues related to constructing achievement and psychological tests, recalling multiple item response theory models, and inferring the reasons behind the guessing phenomenon in certain types of objective achievement tests.
Criterion-referenced cut scores are known in achievement tests.
Differentiate between the classical theory of psychometric measurement and the modern theory.
The multiplicity of methodological problems related to the construction of tests and measurements (achievement and psychological).
Remember the multiple models in item response theory
Infer the underlying causes of the guessing problem in some objective achievement test patterns
Classical and modern psychometric theories (CTT, IRT) describe
Criterion-referenced cut scores are known in achievement tests.
Differentiate between the classical theory of psychometric measurement and the modern theory.
The multiplicity of methodological problems related to the construction of tests and measurements (achievement and psychological).
Remember the multiple models in item response theory
Infer the underlying causes of the guessing problem in some objective achievement test patterns
Classical and modern psychometric theories (CTT, IRT) describe
Criterion-referenced cut scores are known in achievement tests.
Differentiate between the classical theory of psychometric measurement and the modern theory.
The multiplicity of methodological problems related to the construction of tests and measurements (achievement and psychological).
Remember the multiple models in item response theory
Infer the underlying causes of the guessing problem in some objective achievement test patterns
Classical and modern psychometric theories (CTT, IRT) describe
The assumptions of Item Response Theory are applied in the evaluation of a mental scale.
The traditional theory criticizes the psychometric processing of measurement errors.
The Rasch model is a unidimensional latent trait model that estimates item difficulty and person ability. It uses maximum likelihood estimation.
The three-parameter logistic model (3PL) is a unidimensional item response theory (IRT) model that estimates item difficulty, item discrimination, and the probability of a correct guess (guessing parameter). It also typically uses maximum likelihood estimation.
The psychometric properties of a psychological test are calculated according to the methods used in classical test theory.
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