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Record W2775458257 · doi:10.5430/jnep.v8n4p81

Validation of the verbal and social interaction questionnaire for nursing students–The focus of nursing students in their relationship with patients

2017· article· en· W2775458257 on OpenAlexvenueno aff
Mikael Rask, Albinsson Gunilla, Jalal Safipour, Wenneberg Stig, Andersson Lisbet, Carlsson Blomster Monica, Ozolins Lise-Lotte, Borg Christel, Gunilla Lindqvist

Bibliographic record

VenueJournal of Nursing Education and Practice · 2017
Typearticle
Languageen
FieldNursing
TopicNursing Diagnosis and Documentation
Canadian institutionsnot available
FundersLinnéuniversitetet
KeywordsConstruct validityPsychologyConstruct (python library)FeelingReliability (semiconductor)Internal consistencyFace validityContent validityConsistency (knowledge bases)Perspective (graphical)NursingFocus groupValiditySocial psychologyDevelopmental psychologyPsychometricsMedicine

Abstract

fetched live from OpenAlex

The Verbal and Social Interaction Nursing Students questionnaire (VSI-NS) has been created to measure the development of verbal, social and interactional skills of nursing students with patients, from their perspective in nursing care. The aim of the present study was to determine the construct validity and internal consistency reliability of the questionnaire. The study had a methodological and developmental design and was carried out in four steps: adjustment of the items, face validity, data collection and data analysis. The number of items was reduced from 48 to 31. The factor analysis of the final 31 items resulted in four quite distinct factors: “Inviting to talk about feelings and thoughts”, “Building a caring relationship”, “Encouraging social and practical aspects in daily life” and “Caring towards health and wellbeing”. The results showed satisfactory psychometric properties in terms of content validity, construct validity and the internal consistency reliability of the questionnaire. It could be concluded that the original conceptual model could serve as a theoretical foundation to explain and understand nurses’ caring interactions with their patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.719

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.070
GPT teacher head0.468
Teacher spread0.398 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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