Diagnostic classification
models
A brief introduction
W. Jake Thompson, Ph.D.
What are diagnostic models?
Traditional assessments and psychometric models measure an overall skill or ability
Assume a continuous latent trait
The output is a weak ordering due to error in estimates
Confident
Taylor Swift
(debut) is the worst
Not confident on ordering toward the middle of the distribution
Limited in the types of questions that can be answered.
Why is
Taylor Swift
(debut) so low?
What aspects do each era demonstrate proficiency or competency of?
How much skill is “enough” to be competent?
Diagnostic measurement
Designed to be multidimensional
No continuum of student achievement
Categorical constructs
Usually binary (e.g., master/nonmaster, proficient/not proficient)
Several different names in the literature
Diagnostic classification models (DCMs)
Cognitive diagnostic models (CDMs)
Skills assessment models
Latent response models
Restricted latent class models
Diagnostic music assessment
Rather than measuring overall musical knowledge, we can break music down into set of skills or
attributes
Songwriting
Production
Vocals
Attributes are categorical, often dichotomous (e.g., proficient vs. non-proficient)
Diagnostic classification models
DCMs place individuals into groups according to proficiency of multiple attributes
songwriting
production
vocals
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Benefits of DCMs
Fine-grained, multidimensional results. Answer more questions:
Why is
Taylor Swift
(debut) so low?
Subpar songwriting, production, and vocals
What aspects are albums competent/proficient in?
DCMs provide classifications directly
High reliability with fewer items
Less information need to classify than to place precisely along a scale
songwriting
production
vocals
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Results from DCM-based assessments
songwriting
production
vocals
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