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Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
by
Borsboom, Denny
, Sijtsma, Klaas
, Ellis, Jules L.
in
Assessment
/ Behavioral Science and Psychology
/ Classical test theory
/ Humanities
/ Humans
/ Item Response Theory
/ Law
/ Mathematical models
/ Models, Statistical
/ Psychological assessment
/ Psychology
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Reproducibility of Results
/ Statistical Theory and Methods
/ Statistics for Social Sciences
/ Test Theory
/ Testing and Evaluation
/ Theory & Methods
2024
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Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
by
Borsboom, Denny
, Sijtsma, Klaas
, Ellis, Jules L.
in
Assessment
/ Behavioral Science and Psychology
/ Classical test theory
/ Humanities
/ Humans
/ Item Response Theory
/ Law
/ Mathematical models
/ Models, Statistical
/ Psychological assessment
/ Psychology
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Reproducibility of Results
/ Statistical Theory and Methods
/ Statistics for Social Sciences
/ Test Theory
/ Testing and Evaluation
/ Theory & Methods
2024
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Do you wish to request the book?
Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
by
Borsboom, Denny
, Sijtsma, Klaas
, Ellis, Jules L.
in
Assessment
/ Behavioral Science and Psychology
/ Classical test theory
/ Humanities
/ Humans
/ Item Response Theory
/ Law
/ Mathematical models
/ Models, Statistical
/ Psychological assessment
/ Psychology
/ Psychometrics
/ Psychometrics - methods
/ Quantitative psychology
/ Reproducibility of Results
/ Statistical Theory and Methods
/ Statistics for Social Sciences
/ Test Theory
/ Testing and Evaluation
/ Theory & Methods
2024
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Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
Journal Article
Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment
2024
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Overview
The sum score on a psychological test is, and should continue to be, a tool central in psychometric practice. This position runs counter to several psychometricians’ belief that the sum score represents a pre-scientific conception that must be abandoned from psychometrics in favor of latent variables. First, we reiterate that the sum score stochastically orders the latent variable in a wide variety of much-used item response models. In fact, item response theory provides a mathematically based justification for the ordinal use of the sum score. Second, because discussions about the sum score often involve its reliability and estimation methods as well, we show that, based on very general assumptions, classical test theory provides a family of lower bounds several of which are close to the true reliability under reasonable conditions. Finally, we argue that eventually sum scores derive their value from the degree to which they enable predicting practically relevant events and behaviors. None of our discussion is meant to discredit modern measurement models; they have their own merits unattainable for classical test theory, but the latter model provides impressive contributions to psychometrics based on very few assumptions that seem to have become obscured in the past few decades. Their generality and practical usefulness add to the accomplishments of more recent approaches.
Publisher
Springer US,Springer Nature B.V
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