Understanding Generation‐Z New Graduate Nurses' Intention to Stay: Applying the Stress and Coping Model

AIM: This study aimed to develop and evaluate a hypothetical model based on Lazarus and Folkman's stress and coping framework to identify the factors and pathways influencing Generation Z new graduate nurses' intention to stay in the job. DESIGN: This model validation study employed a cross-sectional path analysis approach using structural equation modelling. METHODS: The participants were 215 nurses born after 1995 who had < 1 year of nursing experience and were working at three general hospitals located in Seoul, Korea. Structural equation modelling was used to analyse the collected data, and the model was validated through confirmatory factor analysis. Key variables included character strengths and job resources (exogenous) and reality shock, work-life balance and intention to stay (endogenous). Path analysis with phantom variables was conducted to explore mediating effects. RESULTS: /df = 2.34, TLI = 0.90, CFI = 0.91, RMSEA = 0.08, SRMR = 0.06. Character strengths (ß = 0.41, p < 0.001) and reality shock (ß = -0.75, p = 0.002) had significant direct effects, explaining 53.5% of the variance in intention to stay. Reality shock also mediated the relationships between character strengths, job resources and intention to stay, emphasising its pivotal role in retention strategies for Generation-Z nurses. The findings indicate that character strengths and reality shock are important factors in the intention to stay of new graduate nurses in Generation-Z. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Authors

Institutions

Publication Details

Journal
Nursing Open
Published
2026-04-01
DOI
https://doi.org/10.1002/nop2.70520
Primary Topic
Generational Differences and Trends
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Generation‐Z New Graduate Nurses' Intention to Stay: Applying the Stress and Coping Model

Hyunjoo Na, Euna Ju
Nursing Open
Generational Differences and Trends
article

Understanding Generation‐Z New Graduate Nurses' Intention to Stay: Applying the Stress and Coping Model

Hyunjoo Na, Euna Ju
article en

Abstract

AIM: This study aimed to develop and evaluate a hypothetical model based on Lazarus and Folkman's stress and coping framework to identify the factors and pathways influencing Generation Z new graduate nurses' intention to stay in the job. DESIGN: This model validation study employed a cross-sectional path analysis approach using structural equation modelling. METHODS: The participants were 215 nurses born after 1995 who had < 1 year of nursing experience and were working at three general hospitals located in Seoul, Korea. Structural equation modelling was used to analyse the collected data, and the model was validated through confirmatory factor analysis. Key variables included character strengths and job resources (exogenous) and reality shock, work-life balance and intention to stay (endogenous). Path analysis with phantom variables was conducted to explore mediating effects. RESULTS: /df = 2.34, TLI = 0.90, CFI = 0.91, RMSEA = 0.08, SRMR = 0.06. Character strengths (ß = 0.41, p < 0.001) and reality shock (ß = -0.75, p = 0.002) had significant direct effects, explaining 53.5% of the variance in intention to stay. Reality shock also mediated the relationships between character strengths, job resources and intention to stay, emphasising its pivotal role in retention strategies for Generation-Z nurses. The findings indicate that character strengths and reality shock are important factors in the intention to stay of new graduate nurses in Generation-Z. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Nursing OpenVol. 13(4)
The Catholic University of Korea Seoul St. Mary's Hospital (KR), Catholic University of Korea (KR)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 30%
Generational Differences and Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.