







































 Humanities and Social Science Research; Vol. 8, No. 5; 2025 

ISSN 2576-3024   E-ISSN 2576-3032 

https://doi.org/10.30560/hssr.v8n5p83 

 83 Published by IDEAS SPREAD 

 

Research on the Pathways to Enhance Vocational Decision-Making 

Ability of College Students in Local Universities from the Perspective 

of Resilience 

Shen Liqin1, Zhou Mengyao1, Huang Yukai1, Ding Luxuan1 & Shi Wangting1 

1 College of Teacher Education, Quzhou University, China 

Correspondence: Shen Liqin, College of Teacher Education, Quzhou University, Quzhou, Zhejiang, 324003, 

China. 

 

Received: October 3, 2025; Accepted: October 15, 2025; Published: October 16, 2025 

 

Funding: This project is supported by the Quzhou University College Student Innovation and Entrepreneurship 

Training Program Project (Project No.: Q25X041).  

 

Abstract 

With the continuous increase in the number of college graduates in China, university students are facing challenges 

such as low employment rates and poor employment quality. This not only places excessive employment pressure 

on students but also leads to widespread mental health issues such as anxiety and confusion. Phenomena like 

"delayed employment" and "slow employment" are becoming increasingly prevalent, particularly among students 

from local universities. To deeply analyze the impact pathways and mediating effects among employment pressure, 

psychological resilience, and career decision-making of students in local universities, this study distributed 160 

questionnaires at a local institution. The results revealed that employment pressure significantly negatively predicts 

career decision-making ability; employment pressure significantly negatively predicts psychological resilience; 

psychological resilience significantly positively influences career decision-making; and psychological resilience 

plays a partial mediating role between employment pressure and career decision-making. Based on these findings, 

this study proposes corresponding recommendations to provide theoretical foundations and practical guidance for 

the employment of students in local universities.  

Keywords: psychological resilience, employment in local universities, career decision-making ability, college 

student career planning  

1. Introduction 

With the continuous increase in the number of college graduates, the mismatch between talent supply and labor 

market demand has led to increasingly severe employment challenges for university students. According to data 

from the Ministry of Education (2024) [1], the number of college graduates in China reached 11.79 million in 

2024. However, data from Zhaopin.com (2024) [2] indicates that the employment rate for college graduates was 

only 55.5%, meaning nearly half of the graduates face the dilemma of "unemployment upon graduation." Behind 

the low employment rate lies the hidden crisis of poor employment quality. Employment quality is reflected not 

only in whether graduates find a job but also in their job adaptation and career expectations, which directly affects 

their employment satisfaction. A survey of 311 undergraduate graduates majoring in Public Administration by 

Zeng Lijing, Guo Han, Zheng Yongping, and Yang Guoyong (2023) [3] found that only 32.8% reported being 

"very satisfied/satisfied" with their jobs. Low employment satisfaction is not an isolated phenomenon but is 

widespread among college students. A survey of 526 college graduates who had been working for over six months 

by Yu Chen (2022) [4] revealed that 32.5% were dissatisfied with their current jobs, and 7.4% were very 

dissatisfied, indicating that overall employment satisfaction among graduates is not ideal. Notably, amid the dual 

challenges of low employment rates and poor employment quality, students from local universities face even more 

pronounced employment pressure. A survey on the employment-related psychological difficulties among fresh 

graduates from local universities found that over 50% reported experiencing anxiety, confusion, fear of difficulty, 

and low self-esteem. He Liang, Zhou Min, and Ma Jianjing (2020) [5] surveyed 8,274 graduates from Changsha 

University of Science & Technology's class of 2020: 42.10% felt the employment situation was not optimistic, 

28.57% felt considerable employment pressure and were confused about their future, and 3.48% were unsure if 



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they could secure employment successfully. A survey of 450 students at Weinan Normal University by Wang 

Dajiang and Guo Dan (2018) [6] showed that 80% felt pressure regarding their employment prospects. An analysis 

of reasons for rejection by employers revealed that "insufficient qualifications/certificates" was the top reason 

(40%), followed by "lack of capability" (30%). A survey of 336 graduates from the School of Art and Design, 

Guangzhou Panyu Polytechnic, by Liu Fang, Duan Na, and Lin Chaoyang (2023) [7] indicated that 51.46% felt 

considerable pressure. Pan Ming and Lu Yijia (2006) [8] also pointed out significant differences in employment 

pressure among graduates based on institutional hierarchy, scale, and type. Graduates from mid-tier local 

undergraduate universities experienced higher employment pressure than those from key universities and higher 

vocational colleges. The difficulties in securing employment and low satisfaction essentially reflect insufficient 

career decision-making ability among college students. Wu Fang (2008) [9] indicated a significant positive 

correlation between employability and employment quality, meaning students with stronger career decision-

making ability tend to achieve higher employment quality. Therefore, the career decision-making ability of college 

students directly affects their employment quality. Previous research confirms that the lack of career decision-

making ability among college students is a direct result of the high-pressure employment environment. A 

Zhaopin.com (2024) [2] survey found that 36.2% of graduates cited "feeling too confused to know what kind of 

job to choose" as the primary reason for unsuccessful job hunting, far exceeding reasons like "lack of skills" or 

"low educational background." This exposes graduates' difficulties in career choice, indicating a current deficiency 

in career decision-making ability. Li Xiying (2006) [10] found that students who had not received career guidance 

experienced greater decision-making difficulties than those who had, meaning students lacking career education 

feel more helpless and confused when facing career decisions. Zheng Yuehui (2019) [11] noted that over 70% of 

students felt helpless, confused, and lacked career planning education during career decision-making. Since 2012, 

China's macroeconomy has entered a phase of slowing growth and quality improvement. The annual GDP growth 

rate fell below 8% for the first time in 2012 and gradually decreased to 5.0% in 2024 (National Bureau of Statistics, 

2025) [12][13]. This economic slowdown has pressured job creation in the labor market. Cai Fang (2022) [14], 

comparing the gap between official new employment data and net employment increase, pointed out that urban 

employment actually decreased by 1.64 million jobs in 2019 alone. This undoubtedly intensifies the competitive 

pressure on new graduates, who face not only fewer job opportunities but also the challenge of meeting higher 

entry thresholds posed by emerging industries. Research by Li Jiagen (2019) [15] suggested a negative correlation 

between college students' employment pressure and their career decision-making ability, meaning that in high-

pressure environments, students find it harder to make rational career decisions, ultimately forming a vicious cycle 

of "high employment pressure - weak career decision-making ability." High employment pressure not only reduces 

career decision-making ability but also exposes students' vulnerability when facing complex career choices. This 

phenomenon is more severe among local university students, manifesting as increased trends of "delayed 

employment" and "slow employment." A survey of 1,804 graduates from the classes of 2022 and 2023 at Hunan 

City University by Li Gui, Huang Zhi, and Li You (2023) [16] showed that 26.49% of the 2022 graduates chose 

"delayed employment"; 27% were preparing to start their own businesses or had not found work. Among the 2023 

graduates, 34% were not in a hurry to sign employment contracts; about 12.57% had not found suitable positions 

and were forced into "delayed employment." Mao Lingyuan (2021) [17] stated that the employment rate for local 

universities in recent years was about 80%, with relatively poor employment quality. A survey of 292 graduates 

from the class of 2021 at local universities by Ai Guojin, Yan Qin, and Hu Dan (2023) [18] found that 12% 

belonged to the "slow employment" group. This phenomenon reflects the 普遍 difficulties local university 

students face in career planning and decision-making (Yang Qiqi, Shen Yan, Shen Xiangying, 2020) [19]. 

According to Zheng Yuehui (2019) [11], over half of the local university students in Inner Mongolia were unclear 

about their post-graduation career direction; 72.75% could not develop clear, suitable career plans due to lack of 

university-provided employment guidance and were unable to analyze the external employment environment and 

their own direction accurately. Chen Xinyu (2023) [20] noted that, on average, one in ten undergraduate students 

from local universities in Guilin City failed to secure employment. Among 622 valid questionnaires, only 10 

respondents reported never experiencing career decision-making difficulties. The survey of 8,274 graduates from 

Changsha University of Science & Technology's class of 2020 by He Liang, Zhou Min, and Ma Jianjing (2020) 

[5] also showed that 44.70% of students could not effectively make preparations and plans related to employment 

and career choice. Based on the above research, local university students are facing the dual challenges of low 

employment rates and poor employment quality, leading them to endure employment pressure far exceeding that 

of other groups. Under such high pressure, students generally lack adequate career decision-making ability, 

forming a vicious cycle of "high employment pressure - low career decision-making ability." The key to breaking 

this cycle lies in enhancing students' intrinsic positive capacity to cope effectively and make reasonable decisions 

in high-pressure environments. Psychological resilience is precisely the process through which individuals achieve 



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psychological balance through self-adjustment when facing adversity. In recent years, it has often been validated 

as a positive mediating factor in studies examining individuals facing various stressful situations. For instance, in 

academic stress, resilience has been proven to have a direct positive impact on students' academic pressure (Bai 

Yan, 2024) [21]; regarding burnout, resilience can indirectly moderate the impact of mental health on burnout, 

helping individuals cope positively with various stressful events (Yang Rui, Li Jianmin, Wang Yulong, Li 

Hongmei, Xue Chengjing, 2023) [22]. Based on research from various scholars, the application of psychological 

resilience in the context of employment pressure has corresponding theoretical support. Particularly when college 

students face negative threats, resilience can provide immediate ameliorative effects. Lin Xinxin, Zhou Kailiang, 

Chen Xianjian, Li Haizhe, Chen Xiaochun, Xu Hui (2021) [23] and Luo Tingting, Lu Junxiao (2022) [24] also 

mentioned related viewpoints, suggesting that resilience can help college students effectively cope with 

employment pressure, become more self-disciplined and adaptable to stress, and make decisions beneficial to 

themselves. Therefore, leveraging psychological resilience to mitigate the negative impact of employment pressure 

on career decision-making might yield similarly positive effects among local university students. However, 

research specifically targeting this group is relatively scarce, and the relationships between employment pressure, 

psychological resilience, and career decision-making ability require further verification. Thus, it is necessary to 

deeply explore the impact of employment pressure on psychological resilience, employment pressure on career 

decision-making ability, and psychological resilience on career decision-making ability among local university 

students. Analyzing the mediating role of resilience in the relationship between employment pressure and career 

decision-making can help break the vicious cycle of high employment pressure and low career decision-making 

ability faced by these students, providing theoretical basis and practical guidance for their employment 

counseling.  

2. Theoretical Background 

2.1 Employment Pressure 

Stress is a cognitive appraisal process arising from the dynamic interaction between an individual and their 

environment, not solely determined by external events themselves. It exists in various aspects of an individual's 

life and manifests differently across situations. Employment pressure is the stress experienced by individuals 

within the employment context and constitutes a significant branch of stress. Scholars have defined employment 

pressure differently. Zhou Dongbin, Luo Jiawen, Lin Weiying (2005) [25], focusing on the recipients of 

employment pressure, defined it as the physiological and psychological reactions occurring when college students 

face an employment situation where external threats exceed their coping abilities. Liu Chunlei (2010) [26], from 

a psychological perspective, viewed employment pressure as the stress arising when facing career choices, a 

phenomenon of psychological tension resulting from the interaction of many internal/external variables and 

personal factors within the employment context. Qiu Huiyan, Dai Binrong (2014) [27] emphasized perception and 

psychological experience, considering employment pressure as a psychological feeling generated by an 

individual's perception of internal and external stimuli related to employment factors. Although scholars differ in 

their specific definitions, there is general consensus that employment pressure is a complex and dynamic process 

involving psychological and physiological reactions resulting from the combined effect of external and internal 

factors. Employment pressure among college students has become a widespread social phenomenon. Surveys by 

scholars such as Liu Jie (2004) [28] and Sun Yiwen (2023) [29] have found that employment pressure is a long-

term challenge for this group. With increasingly fierce employment competition, the continuous rise in university 

graduates, and uncertainties in career development, college students face difficulties in career choice after 

graduation, forcing them to endure significant psychological and physiological pressure from the employment 

environment. This phenomenon does not occur偶然 but results from the interaction of multiple factors. From a 

social environment perspective, employment pressure is influenced by economic conditions and the supply and 

demand in the job market. From the perspective of family expectations, some pressure stems from family 

expectations regarding career choices. From an individual perspective, employment pressure is influenced by 

internal psychological factors such as self-awareness, motivation, and psychological resilience. Sustained 

employment pressure negatively impacts the psychological resilience of college students. Research by Gao 

Yuanshan, Yang Yanfei, Yu Xiaoyu et al. (2024) [30] and Qi Qiqi (2023) [31] shows that employment pressure 

can negatively predict psychological resilience. When employment pressure is high, an individual's psychological 

resilience decreases, leading to lower resilience in coping with adversity, and feelings of anxiety, depression, and 

even despair, making it difficult to maintain a positive mindset and the ability to face challenges. According to 

research by Wu Shiyun, Zhang Jing, Liu Yong (2015) [32],恶性 employment competition pressure can also 

induce other negative psychological states such as inferiority and avoidance. These negative states not only 

increase an individual's sensitivity to employment pressure but may also create a vicious cycle, further affecting 



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mental health. Simultaneously, employment pressure affects the rationality of career decision-making among 

college students. Research by Wang Xiang, Li Haitao (2024) [33] found a negative correlation between 

employment pressure and career decision-making. Excessive anxiety and tension during career decision-making 

can interfere with rational thinking, leading to ambiguous and impulsive decisions. Han Huiping (2023) [34] 

argued that excessive employment pressure strengthens conformity in job seeking and leads to unclear self-

perception, causing students to 倾向 prioritize material and utilitarian factors during career decision-making, 

making it difficult to make rational choices.  

2.2 Psychological Resilience 

Psychological resilience, also referred to as resiliency or mental elasticity, lacks a unified definition but has three 

classic perspectives: process-oriented, outcome-oriented, and trait-oriented definitions. The process-oriented 

definition views resilience as a dynamic process of continuous interaction between the individual and the 

environment, involving ongoing self-adjustment (Kathleen, 2004) [35]. The trait-oriented definition considers 

resilience an inherent psychological quality or ability (Connor & Davidson, 2003) [36]. The outcome-oriented 

definition sees it as a behavioral result, reflecting good adaptive ability gained after overcoming difficulties 

(Masten, 2001) [37]. Compared to outcome and trait definitions, the process-oriented definition is more integrative, 

and Chinese scholars tend to view psychological resilience as dynamic. Yu Xiaonan, Zhang Jianxin (2005) [38] 

defined psychological resilience as effective coping and adaptation when facing loss, difficulties, or adversity. 

Liao Wenna, Luo Xianghan, Kong Fanxu (2023) [39] viewed it as the ability to recover from negative experiences 

and flexibly adapt to the external environment. Tian Xiao (2024) [40] considered it the outcome where an 

individual maintains a positive mindset to face difficulties, strives continuously, overcomes obstacles, and achieves 

healthy psychological development and good adaptation. In essence, these perspectives emphasize that 

psychological resilience enables individuals to achieve psychological balance through self-adjustment and 

adaptation when facing challenges. Psychological resilience is not only an individual's psychological capacity to 

cope with difficulties but also influences the rationality of career decision-making. Numerous studies indicate a 

significant positive correlation between psychological resilience and career decision-making. Higher levels of 

resilience are associated with stronger adaptive abilities when facing adversity, leading to more scientific and 

rational career decisions. Zhang Jiamei's (2020) [41] survey results indicated that psychological resilience can 

effectively mitigate the negative impact of emotions on career decision-making. Students with high resilience can 

quickly adjust their emotions when encountering adversity, proactively cope with difficulties, make decisions 

aligned with their needs, and avoid emotional decision-making. Pan Ling, Chen Lixia, Zhong Tiantian (2021) [42] 

emphasized that the adjustment and reflection inherent in resilience during difficulties can make career decision-

making more scientific. Specifically, higher resilience correlates with better problem-solving abilities; through 

continuous reflection and adjustment, students optimize their career decisions, thereby reducing decision-making 

difficulties. Yang Liheng, Mu Quanshang, Gu Zhen (2014) [43] pointed out that psychological resilience not only 

promotes proactive actions during the decision-making process but also facilitates long-term career development. 

Students with higher resilience typically exhibit greater motivation and courage to face challenges, prompting 

them to actively participate in career planning activities, seek out occupational information (e.g., qualifications, 

salary, working conditions), engage in vocational training and social practice, and develop clear career plans, 

thereby making more scientific decisions and laying the foundation for achieving long-term career goals. Beyond 

directly enhancing decision-making rationality, psychological resilience can act as a key mediating factor, 

validated in many stress models. Studies by Wang Zhao (2023) [44] and Zhou Zheng, Ning Ning (2020) [45] both 

indicate that occupational stress influences behavioral outcomes through psychological resilience, which plays an 

important role in the stress pathway. Similarly, the mediating role of resilience has been repeatedly verified in 

studies on academic stress (Bai Yan, 2024) [21] and occupational burnout (Yang Rui, Li Jianmin, Wang Yulong, 

Li Hongmei, Xue Chengjing, 2023) [22]. Therefore, psychological resilience can be seen as an important positive 

psychological mediator (Gao Yuanshan, Yang Yanfei, Yu Xiaoyu, 2024) [30], helping individuals mobilize inner 

resources when facing external pressure, fostering more positive appraisal, reducing the impact of negative 

emotions during decision-making, enhancing self-confidence, and promoting adaptation to adversity, thereby 

improving the科学性 of career decisions and increasing the likelihood of successful and satisfactory employment 

outcomes (Huang Guangsheng, Ren Xinwei, 2025) [46]. This study, based on the process-oriented definition, 

views psychological resilience not as a fixed trait but as something that can be enhanced through learning and 

cultivation. When facing pressure and setbacks, resilience can effectively alleviate negative emotions, enhance an 

individual's adaptive capacity and recovery, thus enabling better coping with life's challenges and difficulties 

(Chen Qixiu, Peng Wenbo, 2022) [47]. This regulatory factor can mitigate employment pressure through its 

universality and positivity, reducing the impact of employment pressure on individual career decision-making, 

offering a new perspective on the career decision-making dilemma of local university students.  



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2.3 Career Decision-Making 

The theoretical foundation of career decision-making can be traced back to Frank Parsons' (1909) [48] "Choosing 

a Vocation," which proposed that career choice is a rational matching process where individuals achieve a precise 

fit between personal traits and job requirements through "scientific methods," emphasizing the consideration of 

both internal and external factors. Jepsen (1974) [49] enriched this view and first proposed "career decision-

making," regarding it as a complex cognitive process where individuals analyze and integrate information about 

themselves and occupations, consider alternative career prospects, choose a suitable option, and publicly commit. 

He recognized career decision-making as not only a rational matching process but also an information processing 

and analysis activity. Building on this, Huang Bin (2011) [50] and Wang Yilin (2023) [51] viewed career decision-

making as the process of searching for occupational information, weighing pros and cons, and making a career 

choice to achieve maximum value based on personal needs and external environmental factors, after establishing 

a clear career direction. Career decision-making exerts varying degrees of influence on self-actualization, job 

satisfaction, career development, psychological mood, and occupational burnout. On the positive side, Guo Zongyi 

(2022) [52] pointed out that college students with self-actualization tendencies engage in reflection on career 

planning during the decision-making process, enhance their employability, and consequently obtain work that 

realizes self-value. This view highlights the importance of career decision-making for individual career planning 

and its role in laying the foundation for self-actualization. Yang Hui's (2020) [53] research found that improving 

the career decision-making ability of young people significantly enhances their job satisfaction and further boosts 

proactivity in career development, indicating the impact of decision-making ability on job satisfaction. Xia Yanjun 

(2021) [54] noted that correct career decisions not only promote personal career development but also contribute 

to social harmony and stability, showing the societal impact of career decisions. However, weak career decision-

making ability can also lead to negative consequences. Zhang Ning's (2022) [55] research found that students with 

weak decision-making ability often exhibit procrastination, preventing them from executing planned goals on time, 

leading to guilt, self-blame, and other negative emotions. Individuals with insufficient decision-making ability 

might also make involuntary career choices or gather incomplete occupational information, leading to career 

decision regret. Yue Xingyu, Wang Lingfeng, Yang Yuqing (2023) [56] found a significant positive correlation 

between career decision regret and occupational burnout among kindergarten teachers, meaning regret can 

exacerbate burnout. Therefore, insufficient career decision-making ability not only affects individuals' negative 

psychological emotions but also adversely impacts their career development.  

3. Research Methodology  

3.1 Research Model 

This study establishes a tri-factor model involving employment pressure, psychological resilience, and career 

decision-making ability, as illustrated in Figure 1. Firstly, based on the research by Lu Lijun & Chen Yulan (2017) 

[57], employment pressure can influence psychological resilience. Secondly, studies by Liu Hongxia & Ye Juan 

(2023) [58] conclude that employment pressure also affects career decision-making ability. Finally, an 

investigation by Gao Jun & Sui Guorong (2018) [59] found that psychological resilience positively promotes 

career decision-making ability. 

  
Figure 1. Research Model 



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3.2 Research Instruments 

All measurement tools in this study utilized a 5-point Likert scale, with response options ranging from "Strongly 

Disagree" to "Strongly Agree." The factor structure and reliability coefficients are presented in Table 1. The 

measurement of employment pressure employed the scale developed by Juhee (2013) [60], comprising 11 items. 

All items used reverse scoring, including statements such as: "I am confident about finding employment through 

competition," "I am actively working to improve my academic performance in preparation for job seeking," and 

"I am actively exploring career directions after graduation and feel hopeful." The scale demonstrated a Cronbach's 

α of 0.946. Psychological resilience was measured using the instrument from Park's (2016) study [61], which 

consists of 20 items. A higher score indicates a higher level of psychological resilience. The overall Cronbach's α 

coefficient was 0.957.The instrument consists of three distinct factors: 

1. Positive Orientation Towards the Future (6 items, Cronbach's α = 0.927), including items such as: "I believe 

good things will happen in the future," "I feel the future is bright," and "I am hopeful about my future." 

2. Individual Emotion Regulation Ability (7 items, Cronbach's α = 0.903), including items such as: "I can manage 

my emotions effectively," "I can remain calm in difficult situations," and "I do not get easily annoyed." 

3. Diversity of Interests (7 items, Cronbach's α = 0.902), including items such as: "I enjoy challenging myself 

with various experiences," "I like novel or unique things," and "I am interested in and concerned about a wide range 

of topics."Career decision-making was assessed using the scale developed by Googhwa (2023) [62], which 

consists of 10 items. Sample items include: "I feel confident and certain about my future career choices," "I have 

multiple fields of interest and am actively considering which one to choose," and "I have clarified my direction 

and feel satisfied with my choice." The scale demonstrated high internal consistency, with a Cronbach's α 

coefficient of 0.942.  

 

Table 1. Factor Composition and Reliability of Research Instruments 

factor item 
number of 

items 
Cronbach α 

employment pressure 1*,2*,3*,4*,5*,6*,7*,8*,9*,10*11* 10 0.946 

psychological 

resilience 

positive orientation 

toward the future 
3,6,10,14,15，17 6 

20 

0.927 

0.957 individual emotional 

regulation ability 
2,5,7,9,11,13,19 7 0.903 

diversity of interests 1,4,8,12,16,18,20 7 0.902 

career decision-making ability 1,2,3,4,5,6,7,8,9,10,11 10 0.942 

*Reverse-scored items  

 

3.3 Data Collection 

This study investigates the mechanism through which employment pressure and psychological resilience influence 

career decision-making ability. The survey targeted undergraduate students from local universities. Given the 

advantages of online questionnaires—lower collection costs, convenience, and speed—this study utilized an online 

questionnaire distributed and collected via the Questionnaire Star platform to students at a university in Quzhou 

City, Zhejiang Province. The data collection period lasted for two months, from March 19 to May 17, 2025. A 

total of 160 valid questionnaires were finally collected and used for analysis in this study.The analytical procedure 

was as follows: First, the reliability of the data was assessed using SPSS 26.0. Second, correlation analyses were 

conducted among employment pressure, psychological resilience, and career decision-making ability. Third, 

regression analyses were performed to examine the relationships between employment pressure, psychological 

resilience, and career decision-making ability. Furthermore, a mediation analysis was conducted to test the 

mediating effect of psychological resilience between employment pressure and career decision-making ability. 

Finally, corresponding strategies were proposed based on the research findings. 

3.4 Research Subjects 

Regarding the demographic characteristics of the participants, 66 (41.2%) were male and 94 (58.8%) were female. 

In terms of academic year, 74 (46.3%) were lower-year students and 86 (53.7%) were upper-year students. 

Regarding major type, 93 (58.1%) were from Humanities and Social Sciences, and 67 (41.9%) were from Natural 

Sciences. Concerning family location, 28 (17.5%) were from provincial capital cities, 44 (27.5%) were from 



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prefecture-level city urban areas, and 88 (55.0%) were from counties or towns. Details are shown in Table 2: 

Distribution of Research Subjects. 

 

Table 2. Distribution of Research Subjects 

component number of people ratio 

gender 
male 66 41.3 

female 94 58.8 

grade 
lower grades (Freshman and Sophomore years) 74 45.0 

upper grades (Junior and Senior years) 88 55.0 

major type 
humanities and social sciences 93 58.1 

natural sciences 67 41.9 

family location 

provincial capital city 28 17.5 

prefecture-level city proper 44 27.5 

county seats and other towns 88 55.0 

total 160 100% 

 

4. Results 

4.1 Correlation Analysis 

Among the main variables—employment pressure, psychological resilience, and career decision-making ability—

the following correlations were observed. Employment pressure showed a significant negative correlation with 

psychological resilience (r = -0.683), positive orientation towards the future (r = -0.672), individual emotion 

regulation ability (r = -0.610), and diversity of interests (r = -0.581). Furthermore, employment pressure was 

negatively correlated with career decision-making ability (r = -0.419).In contrast, psychological resilience 

demonstrated a significant positive correlation with career decision-making ability (r = 0.433). Its sub-dimensions 

also showed positive correlations: positive orientation towards the future (r = 0.413), individual emotion regulation 

ability (r = 0.420), and diversity of interests (r = 0.351) were all positively correlated with career decision-making 

ability. Detailed data are presented in Table 3. 

 

Table 3. Correlation Analysis Among Variables 

component 1 2 3 4 5 6 

1employment pressure 1      

2psychological 

resilience 
-0.683** 1     

3positive orientation 

toward the future 
-0.672** 0.914** 1    

4individual emotional 

regulation ability 
-0.610** 0.914** 0.747** 1   

5diversity of interests -0.581** 0.910** 0.733** 0.770** 1  

6career decision-

making ability 
-0.419** 0.433** 0.413** 0.420** 0.351** 1 

*p≤.05，**p≤.01 

 

4.2 Direct Effects 

To examine the impact of employment pressure on career decision-making, a multiple regression analysis was 

employed. As shown in Table 4, employment pressure was set as the independent variable, and career decision-

making as the dependent variable. The overall regression model was significant, F=33.631 (p<0.05), with β=-

0.419 and t=-5.799 (p<0.05), indicating a significant negative (-) effect on career decision-making. The 

explanatory power of this regression model was approximately 17.5%, suggesting that employment pressure can 

negatively influence career decision-making.Secondly, regarding the impact of employment pressure on 

psychological resilience, the overall regression was significant, F=137.953 (p<0.05), with β=-0.683 and t=-11.745 

(p<0.05), showing a significant negative (-) effect. The explanatory power of the regression model was 

approximately 46.6%, indicating that employment pressure can reduce psychological resilience.Finally, 



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concerning the impact of psychological resilience on career decision-making, the overall regression was significant, 

F=36.407 (p<0.05), with β=0.433 and t=6.034 (p<0.05), demonstrating a significant positive (+) effect. The 

explanatory power of the regression model was approximately 18.7%, suggesting that psychological resilience can 

enhance career decision-making.For the sub-dimensions, positive orientation towards the future, individual 

emotion regulation ability, and diversity of interests were set as independent variables, with career decision-

making remaining the dependent variable. In the impact of positive orientation towards the future on career 

decision-making, the overall regression was significant, F=32.400 (p<0.05), with β=0.413 and t=5.692 (p<0.05), 

indicating a significant positive influencing factor. The explanatory power of the regression model was 

approximately 17.0%. For the impact of individual emotion regulation ability on career decision-making, the 

overall regression was significant, F=33.779 (p<0.05), with β=0.420 and t=5.812 (p<0.05), showing a significant 

positive influencing factor. The explanatory power of the regression model was approximately 17.6%. Regarding 

the impact of diversity of interests on career decision-making, the overall regression was significant, F=22.211 

(p<0.05), with β=0.351 and t=4.713 (p<0.05), indicating a significant positive (+) influencing factor. The 

explanatory power of the regression model was approximately 12.3%. This demonstrates that all three dimensions 

of psychological resilience can positively influence career decision-making. 

 

Table 4 Regression Analysis of Employment Pressure on Psychological Resilience 

dependent variable independent variable B β t p R2 F VIF 

career decision-making employment pressure -0.472 -0.419 -5.799 0.000 0.175 33.631 1 

psychological resilience employment pressure -0.644 -0.683 -11.745 0.000 0.466 137.953 1 

career decision-making 

psychological resilience 0.517 0.433 6.034 0.000 0.187 36.407 1 

positive orientation toward the future 0.412 0.413 5.692 0.000 0.170 32.400 1 

individual emotional regulation ability 0.485 0.420 5.812 0.000 0.176 33.778 1 

diversity of interests 0.396 0.351 4.713 0.000 0.123 22.211 1 

 

4.3 Indirect Effects 

To examine whether psychological resilience plays a mediating role between employment pressure and career 

decision-making, this study employed a stepwise regression analysis. As shown in Table 5, in Step 2, only the 

effect of employment pressure on career decision-making was considered. The β value was -0.419, and the model's 

explanatory power was 17.5%. This indicates that employment pressure can predict college students' career 

decision-making to a certain extent.Subsequently, in Step 3, both employment pressure and psychological 

resilience were included as predictor variables to examine their combined effect on career decision-making. At 

this stage, the β value for employment pressure changed to -0.231, showing a decrease compared to Step 2, while 

the β value for psychological resilience was significant. This change indicates that after introducing psychological 

resilience into the model, the direct influence of employment pressure on career decision-making weakened, yet 

both variables maintained a significant predictive effect on career decision-making. Therefore, it can be concluded 

that psychological resilience plays a partial mediating role between employment pressure and career decision-

making. 

 

Table 5. Analysis of Mediating Effects 

stage dependent variable 
independent 

variable 
B S.E β R² F p VIF 

1 
career decision-

making 

employment 

pressure 

-

0.472 
0.081 

-

0.419 
0.175 33.631 0.000 1 

2 
psychological 

resilience 

employment 

pressure 

-

0.644 
0.055 

-

0.683 
0.466 137.953 0.000 1 

3 
career decision-

making 

employment 

pressure 

-

0.260 
0.109 

-

0.231 
0.216 21.606 0.000 

1.873 

psychological 

resilience 
0.328 0.115 0.275 1.873 

Further calculation reveals that the indirect effect size of psychological resilience is β = -0.188 (βa = -0.683, βb = 

0.275). As shown in Table 6, combining the direct effect (β = -0.231) and the indirect effect (β = -0.188) yields a 

total effect size of -0.419. Finally, based on the proportion of effects calculation, the mediating path through 



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psychological resilience accounts for 44.83% of the total influence of employment pressure on career decision-

making. 

 

Table 6. Mediating Effect Sizes and Proportions 

effect effect size proportion 

total effect -0.419 100% 

direct effect -0.231 55.17% 

mediating effect -0.188 44.83% 

 

5. Conclusion 

This study examined the relationship between employment pressure and career decision-making ability, as well as 

the mediating role of psychological resilience. The results show that employment pressure significantly and 

negatively predicts both career decision-making ability and psychological resilience, while psychological 

resilience significantly and positively influences career decision-making. 

Employment pressure significantly and negatively predicts career decision-making ability, consistent with the 

findings of Ma Xuhong & Gao Xinghui (2025) [63] and Liu Hongxia & Ye Juan (2023) [58]. Specifically, the 

higher the level of employment pressure perceived by university students, the lower their level of career decision-

making ability. This may be because undergraduates are currently in a context of high graduate unemployment 

and low job availability, generally lacking sufficient social experience and internships, while at the same time 

being eager to become independent from their parents and desperately seeking a job that can sustain them. 

Consequently, they focus more on immediate survival needs than on long-term career development or personal 

interests, leading to short-sighted career decisions. This phenomenon is even more pronounced among students 

from local (non-elite) universities, who often face intense competition with graduates from key universities and 

endure additional social pressure regarding their institution’s ranking, academic background, and perceived 

personal competence. These comparative pressures further intensify their employment stress and erode self-

confidence, blurring their self-perception of ability. Thoughts such as “good job opportunities have nothing to do 

with me” emerge, prompting them to withdraw from competition voluntarily, weakening the initiative in career 

decision-making and further lowering their career decision-making ability. 

Employment pressure also significantly and negatively predicts psychological resilience. As employment pressure 

rises, individual psychological resilience tends to decline, a result consistent with previous research (Qi Qiqin, 

2023) [31]. In a high employment-pressure environment, new graduates frequently encounter job-search setbacks; 

negative emotional experiences accumulate beyond the normal psychological tolerance range, fostering thoughts 

such as “effort is useless.” Prolonged negativity gradually consumes self-efficacy, and numerous studies have 

found a significant positive correlation between self-efficacy and psychological resilience (Wang Guanzhong & 

Wu Guanghong, 2025) [64]; Yuan Jingle, 2019) [65]. Therefore, when facing employment pressure, university 

students’ psychological resilience declines along with their self-efficacy. 

Meanwhile, the results indicate that psychological resilience significantly and positively affects career decision-

making ability. Its sub-factors—individual emotional regulation, future positive orientation, and interest 

diversity—all exert significant positive effects, with emotional regulation exerting the relatively strongest 

influence. Individuals with higher psychological resilience can make career decisions more rationally and 

effectively under employment pressure. They possess stronger emotional-regulation skills, a more positive future 

orientation, and broader interests, which reduce the impact of employment pressure and lead to more effective 

decisions. Because job hunting is inherently uncertain and rejection-prone, it easily triggers anxiety, frustration, 

and self-doubt. When failure occurs, emotional-regulation ability helps individuals recover from negative emotions 

more quickly, maintaining initiative and motivation to seek new opportunities. Successfully coping with failure 

through emotional regulation also strengthens confidence in one’s own career decision-making ability. By contrast, 

future positive orientation mainly provides hope, and interest diversity expands the range of career choices; both 

are helpful but less direct and immediate than emotional regulation. 

In the mediation test, the effect of employment pressure on career decision-making was reduced after 

psychological resilience was introduced (β = –0.419 → β = –0.231), indicating partial mediation. This shows that 

enhancing psychological resilience can still buffer the impact of employment pressure, reducing avoidance and 

impulsiveness in career decision-making. However, as an internal psychological resource, psychological resilience 



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is itself eroded by increasing employment pressure. Therefore, reducing employment pressure remains an 

important prerequisite for psychological resilience to function stably. 

Based on the above findings, this study proposes recommendations from three perspectives: students, teaching 

faculty, and university support. 

At the student level, undergraduates should take the initiative to participate in short-term internships, volunteer 

services, project practices, and other activities to accumulate varied experiential capital. Through direct exposure 

to future occupations they can identify vocational interests and strengths, form a clear and positive future 

orientation, enhance confidence in their future careers, raise their psychological resilience, and promote sound 

career decisions. Concurrently, students should actively learn and apply tools such as SWOT analysis to conduct 

comprehensive and objective self-assessments, clarifying their strengths, weaknesses, opportunities, and threats 

within the current employment context. By aligning abilities and interests with opportunities, they can determine 

career directions, proactively confront challenges, compensate for weaknesses through skill acquisition or further 

study, and adopt a positive mindset toward employment pressure, thereby reducing impulsive decisions driven by 

anxiety, low self-confidence, or confusion. 

At the teaching level, instructors should build high-quality career-guidance courses. Course design should integrate 

typical employment problems relevant to different majors, using case analysis, scenario simulation, reflective 

learning, and other diversified pedagogies. Teachers should also teach practical methods and techniques to 

cultivate psychological resilience, allowing students to experience employment pressure in class, guiding them to 

reflect on, summarize, and practice coping strategies, maintain an optimistic attitude, improve emotional-

regulation skills, and ultimately enhance psychological resilience and make reasonable career decisions. 

At the university-support level, institutions can invite outstanding alumni who have followed diverse career paths 

to give talks or panel discussions, sharing employment experiences and career challenges to provide students with 

a fuller spectrum of vocational possibilities. Alumni who have overcome employment adversity are especially 

valuable, offering relatable role models and boosting students’ confidence in facing future career dilemmas. In 

addition, universities should respond to national calls by strengthening industry–education integration and 

university–enterprise cooperation, establishing training bases that supply more practicum opportunities, enabling 

students to accumulate real-work experience, enhance psychological resilience, and refine career decision-making. 

By constructing a three-factor model of employment pressure, psychological resilience, and career decision-

making, this study verifies the influence pathways among them, quantifies the mediating mechanism of 

psychological resilience, highlights its value in the career decision-making process of local-university students, 

and provides three directions—emotional regulation, future positive orientation, and interest diversity—for 

cultivating psychological resilience, thereby enriching the theoretical basis of career-development research for 

local-university students. However, the study has limitations such as a single-region sample: all respondents came 

from one university, which may limit generalizability across regions and institutional tiers. Future research should 

expand sample size and include local universities of different regions and levels to enhance external validity. The 

study also relies solely on questionnaires; future work could combine surveys with interviews to explore in greater 

depth how employment pressure and psychological resilience affect career decision-making. 

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