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Record W6981636323

Everyday Memory Questionnaire [13-items]: European Portuguese translation and psychometric characterization [abstract]

2024· article· en· W6981636323 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicRenaissance and Early Modern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPortugueseEuropean PortuguesePsychometricsSample (material)Beck Depression InventoryCognitionAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Subjective Memory Complaints (SMCs) are very frequent in the community, but more markedly in older people (Ginó et al., 2010; Zapater-Fajarí et al., 2022). Several studies have indicated an association between SMCs and memory objectively measured, although the results maintain inconsistency. However, SMCs constitute an important symptom in clinical contexts which is usually associated with the search for clinical care. Scientific literature has reported several questionnaires to assess SMCs [e.g., Everyday Memory Questionnaire (EMQ) - 13 items; Royle & Lincoln, 2008]. However, in Portugal there are very few instruments that measure SMCs. This study aimed to translate and present preliminary psychometric data of the EMQ (13-items) for application to the Portuguese population. This instrument has been reported in literature as one of the most used instruments to assess memory complaints. Additionally, this study aimed to explore factors that could predict SMCs (i.e., age, depression, anxiety). The sample was composed of 344 participants (241 female), with ages between 18 and 80 years (M = 36.4, SD = 15.9). Participants completed the following self-report questionnaires: Sociodemographic Questionnaire, EMQ 13-items, Montreal Cognitive Assessment (MoCA), Beck Depression Inventory-II (BDI-II), and State-Trait Anxiety Inventory (STAI-Y2). The results suggested that the EMQ 13-items presents good psychometric properties, specifically internal consistency (Cronbach’s alpha of 0.92), and factorial validity (two-factor structure that explained 60.3% of the total variance), although the sample presents some limitations. In a sub-sample, some negative correlations were found between EMQ 13-items and MoCA subscales. The results also indicated that depression and age are predictors of the subjective memory complaints, a pattern of results found in studies with several instruments that assess memory complaints. Given that this instrument revealed good psychometric characteristics for a Portuguese sample, although this is a preliminary study, this constitutes a starting point for new studies (e.g., transcultural studies).

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.113
GPT teacher head0.359
Teacher spread0.245 · 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 designOther design
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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