Korean Society of Muscle and Joint Health
[ Article ]
Journal of Muscle and Joint Health - Vol. 27, No. 1, pp.22-30
ISSN: 1975-9398 (Print) 2288-789X (Online)
Print publication date 30 Apr 2020
Received 04 Nov 2019 Revised 10 Feb 2020 Accepted 10 Feb 2020
DOI: https://doi.org/10.5953/JMJH.2020.27.1.22

The Impact of Perfectionism and Academic Resilience on Subjective Well-being among Korean Undergraduate Students

Ko, Eun1) ; Kim, Hye Young2) ; Kang, Hee Sun1)
1)Associate Professor, Department of Nursing, College of Life Science and Natural Resources, Sunchon National University, Suncheon
2)Professor, College of Nursing · Research Institute of Nursing Science, Jeonbuk National University, Jeonju, Korea

Correspondence to: Kim, Hye Young College of Nursing, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju 54896, Korea. Tel: +82-63-270-4618, Fax: +82-63-270-33127, E-mail: tcellkim@jbnu.ac.kr

ⓒ 2020 Korean Society of Muscle and Joint Health

Abstract

Purpose:

This study aimed to investigate the correlation among perfectionism, academic resilience and subjective well-being in order to identify factors that affect subjective well-being in Korean undergraduate students.

Methods:

This study is a descriptive study. This study was performed on 245 students currently studying in a national university in S city. A structured questionnaire was used to collect data regarding the multidimensional perfectionism scale, the academic resilience scale, and the subjective well-being scale. Collected data were analyzed using descriptive statistics, Pearson's correlation coefficient and stepwise linear multiple regression with SPSS 25.0 for Windows.

Results:

Participants’ scores for self-oriented perfectionism (SOP), other-oriented perfectionism (OOP), and socially prescribed perfectionism (SPP), academic resilience and subjective well-being were 64.64±12.78, 53.62±8.90, 56.98±8.96, 92.60±19.55, and 82.93±9.72, respectively. SPP showed a negative correlation with subjective well-being (r=- .27, p<.001), while academic resilience showed a positive correlation with subjective well-being (r=.20, p=.001). Satisfaction with school life, SPP, and academic resilience were identified as factors influencing subjective well-being and explained about 22% of the variance in subjective well-being.

Conclusion:

This study suggests that we need to identify various factors influencing subjective well-being and accordingly develop nursing interventions to improve undergraduate students’ subjective well-being.

Keywords:

Perfectionism, Resilience, psychological, Subjective health, Universities, Students

INTRODUCTION

Korean undergraduate students have difficulties such as financial burdens related to tuition and living expenses, pressure for purposeless qualification boosting, identity crisis, difficulty in forming bonds due to lack of emotional buffer zone. In addition, the number of Korean undergraduate students suffering from depression due to academic and employment stress increased by 22% compared to 2017 (University News Network, 2018). Recently, as the interest in and subjective judgement on the quality of life of an individual is increasing, various terms, such as subjective quality of life, life satisfaction, happiness, and subjective well-being are being used (Diener et al., 2017). Higher subjective well-being means high levels of positive emotions, such as life satisfaction, happiness and pleasure, and low levels of negative emotions, such as depression and anxiety (Jeong, 2019). Korean undergraduate students are reported to have significantly lower subjective well-being than American undergraduate students (Koo & Suh, 2015).

Perfectionism has a multidimensional attributes. Self-oriented perfectionism establishes high standards for oneself and strictly evaluates and criticizes oneself according to them, while other-oriented perfectionism establishes high standards for others who are important to oneself and strictly evaluates them. In socially-prescribed perfectionism, high standards are imposed and evaluated by others and people think they will be rejected if they fail to meet their standard (Hewitt, Flett, Turnbull-Donovan, & Mikail, 1991). Many of previous studies reported positive and negative aspects, and functional and dysfunctional aspects of these perfectionism. Perfectionism is related with maladaptive emotion by raising depression and anxiety level and increasing stress (Im & Shim, 2015). In contrast, perfectionism improves the individual’s self-esteem and self-efficacy (Chun & Song, 2012; Ma & Kim, 2015) and psychological well-being, life satisfaction, and positive affect in their life (Hill, Huelsman, & Araujo, 2010). Also, Perfectionism shows excellent ability in performance. It is related to hope of success, motivation for school, school achievement, and academic performance in students (Stoeber & Rambow, 2007).

Resilience is a dynamic process that exerts positive adaptive capacity in various stressful situations (Fergus & Zimmerman, 2005), leading to positive psychological well-being and increasing it psychological well-being by mediating negative emotions such as depression and anger (Windle, Bennett, & Noyes, 2011). Resilience is divided into ego resilience, family resilience, and academic resilience because it is necessary to identify resilience within various social relationships such as family and school (Kim, 2016). Previous studies that confirmed the resilience of undergraduate students had a limitation that they mainly deal with ego resilience aspects such as individual traits and characteristics alone (Kilbert et al., 2014). For undergraduate students, it is important to identify academic resilience that takes into account the environmental context surrounding them, rather than ego resilience that reflects the individual’s traits (Kim, 2016). In recent years, interest in academic resilience of undergraduate students has increased, but there are not many previous studies and there is no consistent result. Academic resilience shows weakly positive correlation with subjective happiness of undergraduate students (Park & Kwon, 2018), and academic resilience of nursing students is an influencing factor of psychological well-being (Jin & Kim, 2017). However, there is a lack of study that confirms the relationship among perfectionism, academic resilience and subjective well-being in undergraduate students.

Therefore, this study is designed to investigate the effects of perfectionism and academic resilience on subjective well-being of undergraduate students. The specific objectives to achieve our study's goal are as follows: 1) to measure the degree of perfectionism, academic resilience and subjective well-being of the individual subjects; 2) to examine differences in subjective well-being by the general characteristics of the subjects; 3) to test correlations among perfectionism, academic resilience and subjective well-being; and 4) to find out factors that affect the subjective well-being of the subjects. Furthermore, this study aims to provide basic data for development of intervention programs to promote subjective well-being of undergraduate students.


METHODS

1. Design

This study is a descriptive research study to investigate the effect of perfectionism and academic resilience on the subjective well-being in Korean undergraduate students.

2. Participants

This survey was carried out in one National University located in S city. The participants of this study is 245 students who are currently studying in Liberal Arts and Culture Center of the university and voluntarily showed interest in participating in the study.

To determine the sample size, G*power 3.1.9, a statistical power calculation program based on Cohen’s sampling formula was used. As a result of calculating with a two-tailed significant level of .05 for multiple regression analysis, an effect size=.12, and a statistical power=.95, number of predictors=13, and the minimum sample size was 233. A total of 255 questionnaires were distributed in consideration of the dropout rate of 10% of the subjects, and 248 questionnaires were returned (response rate 97.3 %). Of these, 245 parts were used for the final analysis, except for 3 with insufficient responses, to ensure a sufficient number of samples.

3. Measurements

1) Perfectionism

Perfectionism was measured using Korean version (Han, 1993) modified version of Multidimensional Perfectionism Scale (MPS) developed by Hewitt et al.(1991). This tool has been verified for its validity. This scale consisted of total of 45 items that are sub-divided into 3 categories, such as 15 items on self-oriented perfectionism (SOP), 15 items on other-oriented perfectionism (OOP), and 15 items on socially prescribed perfectionism (SPP). Each item was measured with Likert’s 7-point scale, ranging from ‘strongly disagree’ being 1 point to ‘strongly agree’ being 7 points. Higher score meant higher tendency of perfectionism. The reliability of the tool at the time of development was Cronbach’s=.85, that of Korean version of MPS was Cronbach’s=.91, and that of this study was Cronbach’s=.89, 73, and 75 for SOP, OOP, and SPP, respectively.

2) Academic resilience

Academic resilience was measured by using academic resilience tool developed by Kim (2008). Before adapting this tool, usage of this tool has been approved by the developer via email. This tool consisted of total of 29 items, which were 5 items on learning control, 5 items on friend support, 6 items on self-control, 5 items on positive attitude, 4 items on task responsibility and 4 items on parent support. Each item was measured with Likert's 5-point scale, ranging from ‘strongly disagree’ getting 1 point to ‘strongly agree’ 5 points. The higher the score is the higher the academic resilience. The reliability of the tool at the time of development was Cronbach’s=.75 and that of this study was Cronbach’s=.94.

3) Subjective well-being

Subjective well-being was measured by using a tool developed by Bak and Hong (2004). Before adapting this tool, usage of this tool has been approved by the developer via email. This tool consisted of 30 items, where 7 items were on positive emotional well-being, 4 items on negative emotional well-being, 6 items on positive affect well-being, 8 items on negative affect well-being and 5 items on interpersonal relation well-being. Each category measured positive and negative status. Each item was measured with Likert’s 4-point scale, ranging from ‘strongly disagree’ being 1 point to ‘strongly agree’ being 4 points. The 4 items on negative emotional well-being and 8 items on negative affect well-being were statistically analyzed by inversion. The higher the score is the higher the subjective well-being. The reliability of the tool at the time of development was Cronbach’s=.74 and that of this study was Cronbach’s=.89.

4. Data Collection and Ethical Consideration

This paper was conducted after the ethical approval by the institutional review board at S University (IRB No. 1014173-201805-HR-013-02). Data were collected from students who were currently enrolled and voluntarily showed interest in study participation. Data collection was conducted from July to September in 2018. The researchers explained the purpose of the study to charge of Liberal Arts and Culture Center at the university, and posted a notice for recruiting the subjects on the Liberal Arts classroom’s bulletin board located at each college. The subjects of this study were university students who voluntarily stated their intention to participate in the study. Before giving out questionnaire, the purpose and the necessity of the study, confidentiality and privacy protection, and usage of collected data as only for research purposes were explained to all participants. Furthermore, the participants have been fully informed on the fact that there will be no disadvantages for not participating in the study, and that the participation can be withdrawn at any time without any disadvantages on the participant's side. After full explanation, the participants were informed of the purpose of the study, signed a written agreement form, and were asked to fill out a self-report questionnaire.

The questionnaire was filled out by participants in a comfortable setting. The participant sealed completed questionnaire and put it in the collection box located in the liberal arts classrooms. The questionnaire took about 15 minutes to complete for each participant.

5. Data Analysis

The collected data were analyzed using SPSS/WIN 25.0 (SPSS Inc., Chicago, IL, USA) program. Participants' general characteristics, perfectionism, academic resilience and subjective well-being were analysed by finding their frequencies, percentages, means, standard deviations, ranges, minimum and maximum values, skewness, and kurtosis. Differences in subjective well-being levels according to participants’ general characteristics were analyzed using the independent t-test, one-way ANOVA, and post hoc Scheffé test. The relationship among the variables were calculated using Pearson correlation coefficient, while the factors that affect subjective well-being were analyzed using stepwise linear multiple regression. As for the significance level of the tests, it was proved to be significant (p<.05).


RESULTS

1. General Characteristics of the Participants

The participants’ mean age was 21.41±1.95 (range: 19~31); with 97 (39.6%) men and 148 women (60.4%); 102 (41.6%) lived in dormitory; 175 (71.4%) had a religion. In terms of the school years, 138 (56.3%) was in their 1st year and 56 (22.9%) was in 2nd year. In terms of the participants’ college majors, 79 (32.2%) was from college of natural science, 60 (24.5%) was from college of social studies, 45 (18.4%) was from college of engineering, and 24 (9.8%) was college belonged to college of humanities. And 192 (78.4%) of participants reported that their major is either “satisfied” or “very satisfied”. Further, 190 (77.5%) of participants reported about their school life being either “satisfied” or “very satisfied”(Table 1).

Differences in Subjective Well-being by General Characteristics (N=245)

2. Degree of Perfectionism, Academic Resilience and Subjective Well-being of the Participants

The participants’ average total score for SOP was 64.64±12.78 points; 53.62±8.90 for OOP; 56.98±8.96 for SPP. The average total score for academic resilience were 92.60±19.55. The average total score for subjective well-being was 82.93±9.72. The skewness and kurtosis of the variables did not digress widely from the assumption of normal distribution, as their absolute values were within the ±1 range (Table 2).

Degree of Perfectionism, Academic Resilience and Subjective Well-being (N=245)

3. Subjective Well-being according to General Characteristics of the Participants

Analysis of differences in subjective well-being based on general characteristics showed no significant difference by age (F=0.41, p=.748), gender (t=-1.17, p=.242), type of residence (F=1.17, p=.313), religion (t=0.05, p=.964), college major (F=1.19, p=.981), or school year (F=1.19, p=.312) (Table 1).

Meanwhile, analysis of subjective well-being based on general characteristics did show significant differences regarding participants’ satisfaction with major (F=1.14, p=.007) and satisfaction with school life (F=12.37, p<.001) (Table 1).

4. Relationship between the Variables of the Participants

Subjective well-being had a weak negative relation with SPP (r=-.27, p<.001), but was not statistically significant with SOP (r=-.01, p=.877) and OOP (r=-.09, p=.152). Subjective well-being had a weak positive relation with each of the subscale and total score of academic resilience with statistical significance. In other words, subjective well-being was negatively correlated with academic control (r=.14, p=.035), friend’s support (r=.17, p=.009), self-control (r=.14, p=.030), positive attitude (r=.23, p<.001), task responsibility (r=.16, p=.011), parent’s support (r=.15, p=.016), and total score (r=.20, p<.001)(Table 3).

Correlation of Perfectionism, Academic Resilience and Subjective Well-being (N=245)

5. Factors affecting Subjective Well-being of the Participants

Stepwise linear multiple regression was performed by SSP, academic resilience and general characteristics that were significantly associated with subjective well-being as the independent variables to identify the factors that can affect the subjective well-being of the participants.

In order to test the assumption of linear regression analysis, normality and multicollinearity among all variables were checked. To check for multicollinearity among the independent variables for the multiple regression analysis, variation inflation factors (VIF) were calculated, with the range of the VIFs between the variables being determined as 1.002 ~1.007; VIF values under 10 indicated an absence of multicollinearity. The Durbin-Watson statistic was 2.04, indicating that the error terms were independent from each other, without any autocorrelation. So it is sufficient to satisfy the assumption for multiple regression analysis.

The stepwise linear multiple regression analysis showed that the participants’ satisfaction with school life (β=.34, p<.001), SSP (β=-.25, p<.001) and academic resilience (β=.17, p=.003) explained approximately 22% of subjective well-being (F=22.99, p<.001) (Table 4).

Factors Affecting Subjective Well-being (N=245)

The scattering of the standardized residuals and the uniformity of the residuals through the P-P plot and the normality were examined. As a result of verifying the singular value, the standardized residual was less than the absolute value of 3, and it was confirmed that there was no singular value because the range of Cook’s distance did not exceed the absolute value of 1.


DISCUSSION

This study was performed to investigate the relationship among perfectionism, academic resilience and subjective well-being, and to identify the factors that affect subjective well-being. In this study’ results, SPP and academic resilience was influencing factors that affect subjective well-being.

The SOP, OOP, and SPP of undergraduate students was 64.64 (mean score 4.31), 53.62 (mean score 3.57), and 56.98 (mean score 3.80). The perfectionism in this study was low compared with the results of previous studies (Kilbert et al., 2014; Moon, 2012). Perfectionism of nursing students showed that SOP was 4.89 and SPP was 4.27 (Noh, 2017), and OOP of female college students was 61.17 (Moon, 2012). SOP for undergraduate students was 4.63, and SPP for undergraduate was 4.05 (Ma & Kim, 2015). Perfectionism can be developed by realistic external situations exposed to the individual (Han, 1993). Therefore, students' learning environment and required attitude will be different according to the characteristics of each major field. As the grade increases, the degree of exposure to major study increases, so the difference may become more obvious. Other previous studies were targeted to students of specific majors (Kilbert et al., 2014; Noh, 2017), but in this study, students of various majors participated as subjects, and students in first and second grades accounted for most of the subjects. For this reason, the results of this study were different from the previous studies. So, in the environmental factors, it is necessary to confirm the difference in perfectionism perceived by the subject according to the characteristics of each major’s curriculum. We need to conduct longitudinal research to find out how one’s perfectionism changes along time.

On the other hand, the SOP was the highest among the three types of perfectionism in this study. SOP values the importance of being perfect in dealing with or setting goals (Hewitt et al., 1991), which is a reflection of the positive aspects of college students in this study who set goals and do their best to achieve their goals. This supports the study result that SOP is higher than SPP in undergraduate students with medicine-related majors (Chun & Song, 2012). Considering the various characteristics of the participants, we need to compare the degree of SPP, OPP, and SPP, and to study how to reinforce their adaptive and functional aspects.

The academic resilience in the participants of this study was 92.60 (mean score 3.19). This was higher than Park and Kwon’s (2018) finding that the academic resilience of college students, measured by the same instrument, ranged from 62.~73.0 points. On the other hand, it was lower than the studies that reported the academic resilience of nursing students, which are 3.77 (Noh, 2017), 3.66 (Jin & Kim, 2017), and 3.39 (Shin, 2016) respectively. Academic resilience decreases with lower satisfaction with the major (Jin & Kim, 2017), and students with high academic resilience have high motivation to study and are positive in college life (Park & Lee, 2015). Academic resilience also has an effect on controlling the relationship between academic stress and burnout (Lee, 2014) but didn’t have moderating effect between academic stress and depression in nursing students (Shin, 2016). Academic resilience can be influenced by various factors such as college life, major, and learning method, but these factors are not controlled, and the results of the study seem to be different. Therefore, it is necessary to fully consider these various characteristics of the research subjects when examining the academic resilience of university students. In addition, since academic resilience is a positive factor in adaptation to college life, it is necessary to pay attention to academic resilience and prepare various strategies to increase it.

The subjective well-being in the participants of this study was 82.93 (mean score 2.76), which was similar to the study results where psychological well-being of the nursing students was 2.73, although they used different measurement tools (Jin & Kim, 2017). Jeong (2019) measured the subjective well-being of college students with positive and negative emotions, with 2.65 points and 2.25 points, respectively, which showed lower affirmations than adult learners. Koo and Suh (2015) found that Korean college students had lower subjective well-being than American college students. As there are differences in measurement tools by each studies, direct comparisons are difficult. However, Korean university students experience a lot of negative emotions while experiencing anxiety and uncertainty about the future (Jeong, 2019), and the unhappiness due to increasing youth unemployment. It seems that subjective well-being is not expected to be high in this threatening situation. Also, there was a significant differences regarding participants’ satisfaction with major and satisfaction with school life. This supports the study that undergraduate students are more satisfied with their overall life and experience positive emotions when their school life is satisfactory (Kim & Lee, 2013). People with high subjective well-being are known to have more positive moods or emotions in their daily lives and to have good problem-solving ability and social relationships (Lee, 2013). Therefore, it is necessary to pay more attention to the subjective well-being, which can provide a healthier and positive perspective for the college students who choose and prepare their own careers, by encouraging their efforts, for example.

The subjective well-being of the participants had negative relation with perfectionism, while it had positive relation with academic resilience. This supports a study that showed SPP and subjective well-being were negatively related with significance (Kim & Lee, 2013), and another study that showed a positive correlation between academic resilience and happiness of college students (Park & Kwon, 2018). Satisfaction with school life, SPP, and academic resilience were identified as factors influencing subjective well-being and explained about 22.3% of the variance in subjective well-being. The results of this study partially supported the results of SOP and SPP significantly predicting subjective well-being (Jin & Seo, 2014). In the case of nursing students, academic achievement and satisfaction with major had an effect on subjective well-being (Jun, Cha, & Lee, 2015). SPP is a property that others are considered to have high standards and rigorously evaluate themselves according to those standards, with fear that they might be rejected if they do not meet them (Hewitt et al., 1991). It is known to make one experience more negative emotions, such as depression, anxiety, low self-esteem, and fear of negative feedback (Kilbert et al., 2014; Smith, Saklofske, & Yan, 2015). On the other hand, in the present study, SOP was not identified as an influencing factor of subjective well-being. If the SOP is high, university students may experience stress due to the difference between their reality and their goals, but they may feel that they can solve this stress if they perceive that they have enough support (Cho & Lim, 2018). In addition, Cho and Lim (2018) reported that university students experienced less test anxiety, even with higher SOPs, but with higher academic self-efficacy. Therefore, researchers should identify the causal relationship between academic resilience when identifying perfectionism and subjective well-being. And also, variable such as social support perceived by university students need to be considered as an influencing factor of subjective well-being.

Based on the results of this study, it is necessary to focus on academic resilience and SPP of undergraduate students and develop a plan to increase the academic resilience and moderate SPP when planning nursing intervention for the promotion of subjective well-being of undergraduate students. Further studies would need to expand the participants and identify perfectionism, academic resilience and subjective well-being by reflecting the various psychosocial and environmental characteristics. In addition, we propose a longitudinal study that identifies and tracks the change of these variables from 1st year through 4th year, and a study that develops and applies the intervention program that can facilitate subjective well-being in the undergraduate students.

A limitation of this study was a cross-sectional survey to investigate perfectionism, academic resilience and subjective well-being in participants. And in this study, data were collected by convenience sampling in one university located S city in South Korea, so it should be taken carefully not to expand the interpretation of the results.


CONCLUSION

The purpose of this study was to examine the degree of perfectionism, academic resilience, and subjective well-being of college students, and to examine the relationships among these variables to provide basic data to enhance their subjective well-being. As a result, university students’ satisfaction with college life, SPP and academic resilience were found to be factors influencing their subjective well-being. Therefore, when planning an intervention program to increase the subjective well-being of college students, a strategy to enhance university life satisfaction and academic resilience is needed, and to strengthen the positive aspects of perfectionism by adjusting the SPP is also recommended.

Based on the results of this study, we propose a repeated study that considers various demographic variables and expands the subjects. We propose a study to identify the causal relationships among SOP, OOP, SPP and subjective well-being, and suggest an interventional study that can contribute to enhancing the subjective well-being of college students.

References

  • Bak, B. G., & Hong, S. P. (2004). Development and validation of a subjective well-being scale. The Korean Journal of Educational Psychology, 18(3), 159-175.
  • Cho, B. Y., & Lim, Y. J. (2018). The moderating effects of academic self-efficacy and perceived emotional support on the relationship between self-oriented perfectionism and test anxiety of university students. Korean Journal of Youth Studies, 25(8), 159-179. [https://doi.org/10.21509/KJYS.2018.08.25.8.159]
  • Chun, K. H., & Song, Y. M. (2012). The effects of achievement goal orientation and perfectionism on self-efficacy and achievement of medical students. Korean Journal of Educational Research, 50(4), 107-132.
  • Diener, E., Heintzelman, S. J., Kushlev, K., Tay, L., Wirtz, D., Lutes, L. D., et al. (2017). Findings all psychologists should know from the new science on subjective well-being. Canadian Psychology, 58(2), 87-104. [https://doi.org/10.1037/cap0000063]
  • Fergus, S., & Zimmerman, M. A. (2005). Adolescent resilience: A framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26, 399-419. [https://doi.org/10.1146/annurev.publhealth.26.021304.144357]
  • Han, K. Y. (1993). On multidimentional perfectionism-concept, assessment, and it's relation with maladjustment. Unpublished doctoral dissertation, Korea University, Seoul.
  • Hewitt, P. L., Flett, G. L., Turnbull-Donovan, W., & Mikail, S. F. (1991). The multidimensional perfectionism scale: Reliability, validity, and psychometric properties in psychiatric samples. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 3, 464-468. [https://doi.org/10.1037/1040-3590.3.3.464]
  • Hill, R. W., Huelsman, T. J., & Araujo, G. (2010). Perfectionistic concerns suppress associations between perfectionistic strivings and positive life outcomes. Personality and Individual Differences, 48(5), 584-589. [https://doi.org/10.1016/j.paid.2009.12.011]
  • Im, K. H., & Shim, E. J. (2015). The relationship between maladaptive perfectionism and fatigue: The mediating role of depression and anxiety. The Korean Journal of Health Psychology, 20, 139-159. [https://doi.org/10.17315/kjhp.2015.20.1.008]
  • Jeong, E. (2019). Effects of grit and everyday creativity on subjective well-being for adult learners and college students. Journal of Learner-Centered Curriculum and Instruction, 19(16), 163-192. [https://doi.org/10.22251/jlcci.2019.19.16.163]
  • Jin, J. I., & Kim, N. C. (2017). Grit, academic resilience, and psychological well-being in nursing students. The Journal of Korean Academic Society of Nursing Education, 23(2), 175-183. [https://doi.org/10.5977/jkasne.2017.23.2.175]
  • Jin, S. Y., & Seo, S. G. (2014). The effects of dimension and domain-specific perfectionism on the happiness. The Korean Journal of Counseling and Psychotherapy, 26(2), 297-315. [https://doi.org/10.1080/10503307.2014.983207]
  • Jun, W. H., Cha, K. S., & Lee, K. L. (2015). Factors affecting subjective well-being in nursing students. The Journal of Korean Academic Society of Nursing Education, 21(2), 276-284. [https://doi.org/10.5977/jkasne.2015.21.2.276]
  • Kilbert, J., Lamis, D. A., Collins, W., Bryant Smalley, K., Warren, J. C., Yancey, C. T., et al. (2014). Resilience mediates the relations between perfectionism and college student distress. Journal of Counseling & Development, 92, 75-92. [https://doi.org/10.1002/j.1556-6676.2014.00132.x]
  • Kim, H. J. (2016). A study on post-traumtic growth by the mediating effect of academic resilience. Studies on Life and Cultures, 40, 167-214.
  • Kim, J. Y., & Lee, D. G. (2013). The mediating effects of self-acceptance and self-concept clarity on the relationship between socially-prescribed perfectionism and subjective well-being in college students. Korea Journal of Counseling, 14(1), 63-82. [https://doi.org/10.15703/kjc.14.1.201302.63]
  • Kim, N. R. (2008). A study on the development and validity of the scale of academic resilience. Unpublished master's thesis. Sungshin Women's University, Seoul.
  • Koo, J., & Suh, E. (2015). Why Korean university students are less happy that U.S. counterparts? The role of relative extrinsic value orientation, social support and social comparison. Korean Journal of Social and Personality Psycholog, 29(4), 63-83. [https://doi.org/10.21193/kjspp.2015.29.4.004]
  • Lee, J. A. (2013). A structural model of subjective well-being and social cognitive variables in college students. The Journal of Vocational Education Research, 32(3), 97-116.
  • Lee, Y. M. (2014). A moderating effect of academic resilience on the relationship between academic stress and academic burnout. The Korean Association for Thinking Development, 10(4), 79-101.
  • Ma, Y. Y., & Kim, H. L. (2015). The relationships between perfectionism and subjective well-being in university students-Focused on the self-efficacy and perceived social support mediator effect-. Youth Facilities and Environment, 13(4), 87-99.
  • Moon, S. H. (2012, October). Perfectionism of female college students and perimenstrual symptom. Paper presented at the meeting of the Korean Society of Nursing Science, Seoul, Korea.
  • Noh, G. O. (2017). The effect of perfectionism and academic resilience on the level of students' satisfaction with nursing major. The Journal of Korean Academic Society of Nursing Education, 23(2), 205-213. [https://doi.org/10.5977/jkasne.2017.23.2.205]
  • Park, H. J., & Lee, J. (2015). Longitudinal analysis of academically resilient students' characteristics during high school and college. Journal of Educational Evaluation, 28(2), 289-311.
  • Park, J. W., & Kwon, M. J. (2018). The convergence effect of academic resilience, social support, and happiness on SNS addiction tendency of university students. Journal of the Korean Convergence Society, 9(4), 453-460.
  • Shin, S. H. (2016). The effect of academic stress and the moderating effects of academic resilience on nursing students' depression. The Journal of Korean Academic Society of Nursing Education, 22(1), 14-24. [https://doi.org/10.5977/jkasne.2016.22.1.14]
  • Smith, M. M., Saklofske, D. H., & Yan, G. (2015). Perfectionism, trait emotional intelligence, and psychological outcomes. Personality and Individual Differences, 85, 155-158. [https://doi.org/10.1016/j.paid.2015.05.010]
  • Stoeber, J., & Rambow, A. (2007). Perfectionism in adolescent school students: Relations with motivation, achievement, and well-being. Personality and Individual Differences, 42(7), 1379-1389. [https://doi.org/10.1016/j.paid.2006.10.015]
  • University News Network. (2018, April 4). College student depression and suicide rate increase. Retrieved May 10, 2018, from http://news.unn.net/news/articleView.html?idxno=187725
  • Windle, G., Bennett, K. M., & Noyes, J. (2011). A methodological review of resilience measurement scales. Health and Quality of Life Outcomes, 9, 8-26. [https://doi.org/10.1186/1477-7525-9-8]

Table 1.

Differences in Subjective Well-being by General Characteristics (N=245)

Variables Categories n (%) or M±SD M±SD t or F (p) Scheffé
†Analysis of differences in subjective well-being by general characteristics.
Age (year) <21 124 (50.6) 83.52±8.79 0.41
(.748)
21~22 60 (24.5) 82.70±8.41
23~24 43 (17.6) 82.62±12.72
>25 18 (7.3) 82.89±11.98
21.41±1.95
Sex Men 97 (39.6) 82.03±10.16 –1.17
(.242)
Women 148 (60.4) 83.52±9.41
Type of residence Home 95 (38.8) 83.95±9.11 1.17
(.313)
Dormitory 102 (41.6) 81.85±8.93
Others 48 (19.6) 83.20±12.16
Religion Yes 175 (71.4) 82.95±9.57 0.05
(.964)
No 70 (28.6) 82.89±10.14
College major Humanities 24 (9.8) 83.25±8.08 1.19
(.981)
Social studies 60 (24.5) 83.20±10.25
Education 7 (2.9) 85.71±4.89
Engineering 45 (18.4) 82.38±12.19
Natural science 79 (32.2) 82.58±9.09
Medical and pharmacology 10 (4.1) 84.40±4.83
Art and physical education 20 (8.2) 82.65±9.94
Grade Freshman 138 (56.3) 83.50±8.68 1.19
(.312)
Sophomore 56 (22.9) 83.48±8.50
Junior 32 (13.1) 80.09±12.45
Senior 19 (7.8) 81.95±14.14
Satisfaction with major Not satisfied at alla 7 (2.9) 76.28±12.16 1.14
(.007)
a<b, c<d
Not satisfiedb 46 (18.8) 80.56±9.94
Satisfiedc 167 (68.2) 83.15±9.34
Very satisfiedd 25 (10.2) 87.64±9.34
Satisfaction with school life Not satisfied at alla 6 (2.4) 76.83±13.01 12.37
(<.001)
a, b<c, d
Not satisfiedb 49 (20.0) 77.14±7.94
Satisfiedc 165 (67.3) 83.88±9.30
Very satisfiedd 25 (10.2) 89.44±8.90

Table 2.

Degree of Perfectionism, Academic Resilience and Subjective Well-being (N=245)

Variable M±SD Min Max Possible range Skewness Kurtosis
SOP=Self-oriented perfectionism; OOP=Other-oriented perfectionism; SPP=Socially prescribed perfectionism; WB=Well-being.
Perfectionism
  SOP 64.64±12.78 27.00 98.00 15~105 0.12 0.17
  OOP 53.62±8.90 29.00 79.00 15~105 -0.16 -0.04
  SPP 56.98±8.96 34.00 89.00 15~105 0.12 0.40
Academic resilience 92.60±19.55 45.00 143.00 29~145 -0.18 -0.25
  Academic control 15.53±3.83 7.00 25.00 5~25 0.07 -0.24
  Friend's support 16.12±4.37 6.00 25.00 5~25 -0.10 -0.65
  Self-control 19.54±5.25 6.00 30.00 6~30 -0.20 -0.57
  Positive attitude 15.90±3.86 6.00 25.00 5~25 -0.06 -0.25
  Task responsibility 12.91±3.34 4.00 20.00 4~20 -0.33 -0.49
  Parent's support 12.61±3.58 4.00 20.00 4~20 -0.09 -0.55
Subjective WB 82.93±9.72 52.00 113.00 30~120 -0.01 0.41
  Positive emotional WB 20.59±3.45 10.00 28.00 7~28 0.03 0.03
  Negative emotional WB 9.11±1.99 4.00 15.00 4~16 0.07 0.15
  Positive efficacy WB 16.56±2.72 6.00 24.00 6~24 -0.06 0.49
  Negative efficacy WB 21.07±3.54 11.00 31.00 8~32 0.01 0.15
  Interrelationship WB 15.59±2.48 7.00 20.00 5~20 -0.34 0.29

Table 3.

Correlation of Perfectionism, Academic Resilience and Subjective Well-being (N=245)

Variables Perfectionism Academic resilience
SOP OOP SPP Academic
control
Friend's
support
Self-
control
Positive
attitude
Task
responsibility
Parent's
support
Total
r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p) r (p)
SOP=Self-oriented perfectionism; OOP=Other-oriented perfectionism; SPP=Socially prescribed perfectionism.
Subjective
 well-being
-.01
(.877)
-.09
(.152)
-.27
(<.001)
.14
(.035)
.17
(.009)
.14
(.030)
.23
(<.001)
.16
(.011)
.15
(.016)
.20
(<.001)

Table 4.

Factors Affecting Subjective Well-being (N=245)

Variable Step 1 Step 2 Step 3 Tolerance VIF
B β t p B β t p B β t p
SPP=Socially prescribed perfectionism; VIF=Variance inflation factors.
(Constant) 66.94 24.26 <.001 83.38 18.36 <.001 74.91 14.23 <.001
Satisfaction with
 school life
5.60 .36 5.93 <.001 5.44 .36 5.96 <.001 5.35 .34 5.97 <.001 .99 1.002
SPP –0.28 -.26 -4.47 <.001 -0.27 -.25 -4.32 <.001 .99 1.007
Academic resilience 0.09 .17 3.04 .003 .99 1.006
Adj. R2 (⊿Adj. R2) .12 .19 (.07) .22 (.03)
F (p) 35.13 (<.001) 28.90 (<.001) 22.99 (<.001)