Evidence map›Paper›PMID 29087217›Full record

ArticleJournal of personality assessment

Alternative Approaches to Addressing Non-Normal Distributions in the Application of IRT Models to Personality Measures.

Steven P Reise, Anthony Rodriguez, Karen L Spritzer, Ron D Hays

Abstract read
In one paragraph

Article in Journal of personality assessment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Psychometric properties of the PROMIS-57 questionnaire, Norwegian version.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  17. Review
  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

4 authors.

Steven P Reisea Department of Psychology , University of California , Los Angeles.
Anthony Rodrigueza Department of Psychology , University of California , Los Angeles.
Karen L Spritzerb Division of General Internal Medicine & Health Services Research , University of California , Los Angeles.
Ron D Haysb Division of General Internal Medicine & Health Services Research , University of California , Los Angeles.

Funding

The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7M
TRAINING COREP20MD000182 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED &SCI · PI CUNNINGHAM, WILLIAM EMERY, SHAPIRO, MARTIN F. · 2002 to 2016
$16.5M
NIA NIH HHS P30 AG021684NIMHD NIH HHS P20 MD000182
6 · The paper itself

Abstract

It is generally assumed that the latent trait is normally distributed in the population when estimating logistic item response theory (IRT) model parameters. This assumption requires that the latent trait be fully continuous and the population homogenous (i.e., not a mixture). When this normality assumption is violated, models are misspecified, and item and person parameter estimates are inaccurate. When normality cannot be assumed, it might be appropriate to consider alternative modeling approaches: (a) a zero-inflated mixture, (b) a log-logistic, (c) a Ramsay curve, or (d) a heteroskedastic-skew model. The first 2 models were developed to address modeling problems associated with so-called quasi-continuous or unipolar constructs, which apply only to a subset of the population, or are meaningful at one end of the continuum only. The second 2 models were developed to address non-normal latent trait distributions and violations of homogeneity of error variance, respectively. To introduce these alternative IRT models and illustrate their strengths and weaknesses, we performed real data application comparing results to those from a graded response model. We review both statistical and theoretical challenges in applying these models and choosing among them. Future applications of these and other alternative models (e.g., unfolding, diffusion) are needed to advance understanding about model choice in particular situations.

Indexed as

Models, StatisticalPersonalityPersonality TestsHumansLogistic Models

Identifiers

PMID29087217
PMCPMC6252010

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.