Mediating Effect of State Anxiety and Interpersonal Relationship on the Relationship between Self-forgiveness and Happiness in Nursing Students

Objectives: The purpose of this study was to examine the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of nursing students.Methods: This study used The Korean version of the State Self-forgiveness Scale, State Anxiety Inventory, Relationship Change Scale, and The Oxford Happiness Questionnaire. The data was analyzed by using frequency, percentage, mean, standard deviation, t-test, one-way ANOVA, and Pearson’s correlation coefficient. Baron and Kenny’s method was used to analyze mediating effect between self-forgiveness and happiness.Results: Self-forgiveness, happiness, state anxiety, and interpersonal relationship had correlation with each other. There were the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of respondents.Conclusions: The result showed the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of nursing students. To increase happiness, it is necessary to apply curriculum to reduce state anxiety and improve interpersonal relationship.

Authors

Publication Details

Journal
Journal of Health Informatics and Statistics
Published
2024-08-31
DOI
https://doi.org/10.21032/jhis.2024.49.3.238
Primary Topic
Forgiveness and Related Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mediating Effect of State Anxiety and Interpersonal Relationship on the Relationship between Self-forgiveness and Happiness in Nursing Students

Su Jin Kim
Journal of Health Informatics and Statistics
Forgiveness and Related Behaviors
article

Mediating Effect of State Anxiety and Interpersonal Relationship on the Relationship between Self-forgiveness and Happiness in Nursing Students

Su Jin Kim
article en

Abstract

Objectives: The purpose of this study was to examine the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of nursing students.Methods: This study used The Korean version of the State Self-forgiveness Scale, State Anxiety Inventory, Relationship Change Scale, and The Oxford Happiness Questionnaire. The data was analyzed by using frequency, percentage, mean, standard deviation, t-test, one-way ANOVA, and Pearson’s correlation coefficient. Baron and Kenny’s method was used to analyze mediating effect between self-forgiveness and happiness.Results: Self-forgiveness, happiness, state anxiety, and interpersonal relationship had correlation with each other. There were the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of respondents.Conclusions: The result showed the mediating effects of state anxiety and interpersonal relationship on the relationship between self-forgiveness and happiness of nursing students. To increase happiness, it is necessary to apply curriculum to reduce state anxiety and improve interpersonal relationship.

Journal of Health Informatics and StatisticsVol. 49(3)
Openalex Percentile: Top 81%
Forgiveness and Related Behaviors
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.

Mediating Effect of State Anxiety and Interpersonal Relationship on the Relationship between Self-forgiveness and Happiness in Nursing Students — Su Jin Kim · Journal of Health Informatics and Statistics (2024) | TGRS Research Map | TGRS