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Record W4220699588 · doi:10.34172/ehem.2022.07

Psychometric development and practical use of questionnaires designed to assess knowledge, attitude, and practice of women regarding the use of sanitizer at home to control coronavirus disease

2022· article· en· W4220699588 on OpenAlexaff
Mohammad Mosaferi, Neda Gilani, Shokufeh Delfi, Rasoul Ahmadpour-geshlagi, Vijay Kumar Chattu

Bibliographic record

VenueEnvironmental Health Engineering and Management · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExploratory factor analysisConfirmatory factor analysisConstruct validityHand sanitizerMedicineInternal consistencyContent validityReliability (semiconductor)Scale (ratio)BachelorFamily medicinePsychologyGerontologyClinical psychologyPsychometricsStructural equation modelingStatistics

Abstract

fetched live from OpenAlex

Background: This study aimed to develop and practically use a questionnaire to evaluate knowledge, attitude, and practice (KAP) of women regarding the use of sanitizers at home against coronavirus disease 2019 (COVID-19). Methods: An online cross-sectional study was conducted among Iranian women (aged ≥18 years). The KAP items were selected based on the experts’ opinions, and the scale underwent a series of validation processes, including the face, content, and construct validity, and internal consistency for reliability. Results: The internal consistency coefficient exceeded 0.7 for KAP subunits. Exploratory factor analysis (EFA) suggested a three-factor construct for each subunit, and the results of the confirmatory factor analysis (CFA) indicated acceptable fit indices for the proposed models. Overall, 330 women (mean age: 36.78±10.12 years, married: 74.2%, and bachelor’s degree: 46.7%) completed the questionnaire. The level of adequate knowledge on sanitizer use, positive attitude, and good practice achieved were 87.0%, 58.5%, and 66.1%, respectively. Among demographic variables, education level and occupation showed a significant relationship (P<0.05) against KAP and attitude, individually. Conclusion: Despite the high percentage of knowledge, the participants did not get a high attitude and practice score.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.576
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.133
GPT teacher head0.393
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2022
Admission routes1
Has abstractyes

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