Evidence map›Paper›PMID 38627311›Full record

ArticlePsychometrika2024

Recognize the Value of the Sum Score, Psychometrics' Greatest Accomplishment.

Klaas Sijtsma, Jules L Ellis, Denny Borsboom

Abstract read
In one paragraph

Article in Psychometrika, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Simple Approach for Differential Test Functioning Based on Sum Scores.Educational and psychological measurement · 2026
    Article
  5. Factor Scores in Small Samples: Recommendations and Solutions.Educational and psychological measurement · 2026
    Article
  6. Article
  7. A primer on intensive longitudinal psychometrics.Behavior research methods · 2026
    Review
  8. Article
  9. Article
  10. Inferences of associated latent variables by the observable test scores.The British journal of mathematical and statistical psychology · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. A novel CAT method for QoL screening: proof-of-principle study with comparisons to standard methods.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Klaas SijtsmaDepartment of Methodology and Statistics TSB, Tilburg University, PO Box 90153, 5000LE , Tilburg, The Netherlands. k.sijtsma@tilburguniversity.edu.ORCID http://orcid.org/0000-0002-4739-0574
Jules L EllisOpen University OF THE NETHERLANDS, Heerlen, The Netherlands.ORCID http://orcid.org/0000-0002-4429-5475
Denny BorsboomUniversity of Amsterdam, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-9720-4162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

PsychometricsHumansModels, StatisticalReproducibility of Resultsclassical test theoryfactor analysis modelitem response theorylatent variablelower bound to reliabilitynetwork modelsreliabilitysum score

Identifiers

PMID38627311
PMCPMC11588849

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.