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Record W4393310827 · doi:10.1051/shsconf/202418402005

Psychometric properties of the Montreal Cognitive Assessment v8.2. test: Pilot study

2024· article· en· W4393310827 on OpenAlexaboutno aff
Irina Pelse, Kristı̄ne Šneidere, Ainārs Stepens, Ilona Krone, Guntis Karelis, Andrejs Kostiks

Bibliographic record

VenueSHS Web of Conferences · 2024
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentTest (biology)PsychologyCognitionPsychometricsClinical psychologyCognitive impairmentApplied psychologyPsychiatry

Abstract

fetched live from OpenAlex

Objectives . The world is rapidly ageing and, with the increasing age, there is a potential increase in the number of patients with Alzheimer’s disease or dementia. This calls for a reliable screening tool that easily and rapidly could identify the symptoms of pathological cognitive decline. As currently such tools are limited in Latvia, the objective of this study was to examine the psychometric properties of the newly translated Montreal Cognitive Assessment test. Materials and Methods . Sixty-five Latvian native speakers aged 55-90 ( M = 72.11, SD = 10.26) participated in the study and were divided into three groups – with diagnosis of dementia ( n = 21), mild cognitive impairment ( n = 18) and control group ( n = 26). All participants were assessed using the Montreal Cognitive Assessment test [1], and a test-retest was conducted after 2 weeks ( n = 37). Results . Almost all mean values and inter-item correlation coefficients were acceptable (.2-.8), apart from indices in the Naming task and Verbal fluency task. The items showed very high reliability (α = .95) and the test-retest reliability showed consistent results ( r = .98). Conclusions . Overall, the results from the pilot study show acceptable psychometric properties; however, the pilot study should be continued and criterion validity should be tested.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.110
GPT teacher head0.357
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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