Evidence map›Paper›PMID 37347530›Full record

ArticleJournal of medical Internet research2023

Graded Response Model Analysis and Computer Adaptive Test Simulation of the Depression Anxiety Stress Scale 21: Evaluation and Validation Study.

Jake Kraska, Karen Bell, Shane Costello

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Jake KraskaSchool of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Australia.ORCID 0000-0002-7218-2355
Karen BellSchool of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Australia.ORCID 0009-0001-7992-1763
Shane CostelloSchool of Educational Psychology and Counselling, Faculty of Education, Monash University, Clayton, Australia.ORCID 0000-0003-0750-2057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Depression Anxiety Stress Scale 21 (DASS-21) is a mental health screening tool with conflicting studies regarding its factor structure. No studies have yet attempted to develop a computer adaptive test (CAT) version of it.

objectiveThis study calibrated items for, and simulated, a DASS-21 CAT using a nonclinical sample.

methodsAn evaluation sample (n=580) was used to evaluate the DASS-21 scales via confirmatory factor analysis, Mokken analysis, and graded response modeling. A CAT was simulated with a validation sample (n=248) and a simulated sample (n=10,000) to confirm the generalizability of the model developed.

resultsA bifactor model, also known as the "quadripartite" model (1 general factor with 3 specific factors) in the context of the DASS-21, displayed good fit. All scales displayed acceptable fit with the graded response model. Simulation of 3 unidimensional (depression, anxiety, and stress) CATs resulted in an average 17% to 48% reduction in items administered when a reliability of 0.80 was acceptable.

conclusionsThis study clarifies previous conflicting findings regarding the DASS-21 factor structure and suggests that the quadripartite model for the DASS-21 items fits best. Item response theory modeling suggests that the items measure their respective constructs best between 0θ and 3θ (mild to moderate severity).

Indexed as

DepressionStress, PsychologicalAnxietyComputersFactor Analysis, StatisticalHumansPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsanxietyCATcomputer adaptive testingDASS-21depressiondevelopmentgraded response modelmental healthmodelpsychological distressreliabilityscreening toolsimulationstresstool

Identifiers

PMID37347530
PMCPMC10337454

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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.