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Record W6995976803

The Relationship Among Attachment, Empathy, and Caring in Baccalaureate Nursing Students

2019· dissertation· en· W6995976803 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2019
Typedissertation
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyWorryAnxietyAssociation (psychology)Consistency (knowledge bases)Nurse educationNursing careTeam nursing
DOInot available

Abstract

fetched live from OpenAlex

Empathy and caring are the foundations upon which the fundamentals and principles of nursing practice are grounded, and help to delicately balance scientific knowledge and humanistic behaviours. Three nursing organizations in Canada: 1) the Canadian Nurses Association (CNA), 2) College of Nurses of Ontario (CNO), and 3) Registered Nurses Association of Ontario (RNAO), through a code of ethics, professional practice standards, and best practice guidelines, advocate for the delivery of safe, ethical and empathetic nursing care. Caring relationships in nursing, based on trust, respect, professional intimacy, and evidence contribute to therapeutic nurse-patient relationships. Unfortunately, many nursing students are unable to develop therapeutic relationships based upon their internal working models (IWM) formed in childhood. Depending on the consistency of care received in childhood especially during times of stress a relatively stable pattern of low attachment avoidance and low attachment anxiety develops. Whereas, inconsistent care can lead to high attachment avoidance where individuals present as uncaring, emotionally distant, and self-reliant, while individuals with high attachment anxiety fear rejection, abandonment, and worry others will be unavailable or unresponsive to them. The purpose of this study was the testing of a theoretical model linking attachment avoidance and attachment anxiety to empathy, the mediator variable, and caring. This cross-sectional survey of 192 baccalaureate nursing students in a collaborative nursing program in Ontario were sampled and a theoretical model was tested using latent variable structural equation modeling (SEM) techniques. The final analysis revealed a relatively good fit of the data to the hypothesized model (X2 =129.30; p <.01; df = 57; X2/df = 2.26), high GFI (.92), high TLI (.92), high CFI (.94), and an acceptable RMSEA (.07). Higher caring was significantly correlated with empathy while attachment avoidance was negatively correlated with empathy. The model demonstrated there was no direct effect between attachment avoidance and caring while empathy fully mediated the relationship between these constructs. These findings suggest new evidence in understanding attachment avoidance indirectly affects nursing students’ caring abilities through empathy. From these results, nurse educators’ empathy and caring toward nursing students may have an impact on students’ IWM, empathy, caring and therapeutic relationships.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.285
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.272
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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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