Research on Influencing Factors of Employment Anxiety of College Students through Model Analysis

Hehe Liu and Zhoutao Zhang

Abstract

Abstract: To investigate factors influencing college students’ employment anxiety and develop effective intervention strategies, this study employed a questionnaire survey to collect demographics and employment anxiety data. The collected data were analyzed using statistical and regression analyses in SPSS software version 26.0. It was found that the coefficient of the correlation was the largest between subjective support and employment anxiety, reaching -0.387. Moreover, participants’ employment anxiety levels were significantly influenced by social support and general self-efficacy. The results confirm that social support and self-efficacy are key factors affecting college students’ employment anxiety, providing guidance for alleviating employment anxiety.

Keywords: College Student , Employment Anxiety , Influencing Factor

1. Introduction

The expansion of college enrollment has led to a significant rise in university graduates [1], bringing increasing attention to employment issues [2]. Under this background, college students are more likely to experience psychological distress and develop negative emotional states. Anxiety manifests as persistent tension and apprehension [3], which may result in physiological manifestations including sleep disturbances [4]. At present, employment anxiety is prevalent among college students. It refers to a series of psychological feelings, including tension and worry, and behavioral reactions, such as insomnia and chest tightness under the pressure of employment. Researchers have employed various theoretical models to examine anxiety’s contributing factors [5]. Pauline et al. [6] analyzed the aging anxiety among Nigerian civil servants based on linear regression and discovered a significant correlation between religious belief and aging anxiety. Ahmmed and Maria [7] analyzed anxiety levels among recent graduates in Bangladesh during the epidemic and found that the delay in the study, worry about finding a job, economic situation, and the impact on daily life were positively correlated with anxiety levels. Rodon and Congard [8] studied the measurement of anxiety related to online information retrieval and found through a questionnaire survey that self-efficacy was negatively correlated with positive attitudes towards the Internet and the total score of anxiety related to online information retrieval decreased with the extension of the use time. Salgado et al. [9] analyzed the anxiety of women in Mexico and found through the analysis of 2,947 samples that the incidence of anxiety was the highest in pregnant women aged 20–29 and the lack of a stable partner was a significant risk factor for the development of anxiety during pregnancy. However, research focusing on employment anxiety among college students remains limited. To address this gap, this paper investigates the influence of social support and self-efficacy through a questionnaire survey and regression analysis, aiming to provide theoretical support for alleviating and intervening in employment anxiety. This study examines the influence of social support and general self-efficacy on the employment anxiety of college students from the perspective of psychology. Moreover, it analyzed the differences in employment anxiety based on participants’ demographic characteristics. The findings provide a psychological bases for the guidance of students’ employment and career selection and contribute the development of their mental health.

2. Research Subjects and Methods

2.1 Subjects

Using convenience sampling, questionnaires were distributed to students in Dongguan City University, covering all majors and academic years (freshmen to seniors) to ensure a representative sample. Although the research subjects were recruited from a single university, their employment preferences were not geographically restricted—respondents indicated potential workplaces in various cities, such as first-tier and second-tier cities, as reflected in the survey. Therefore, there will not be too many limitations in the selection of research subjects. Of the 500 questionnaires distributed, 436 were valid, with a response rate of 87.2%.

Invalid questionnaires were excluded based on the following criteria: (1) incomplete responses, (2) patterned answers (e.g., identical responses for five or more consecutive questions), and (3) contradictory answers (e.g., selecting “very consistent” for both “feeling upset when approaching employment” and “feeling calm when approaching employment” in the anxiety scale).

2.2 Research Tools

The demographic questionnaire comprised six single-choice questions (Table 1).

Table 1.
Demographic questionnaire

The Social Support Scale [10] comprised ten items and had an α coefficient of 0.87. The questionnaire structure is presented in Table 2.

Table 2.
Social Support Scale

The General Self-Efficacy Scale (GSES) [11] comprised ten items and had an α coefficient of 0.85. The questionnaire structure is presented in Table 3.

Table 3.
GESE scale

The employment anxiety questionnaire [12] comprised a total of 30 items and had an α coefficient of 0.93. The questionnaire structure is shown in Table 4.

Table 4.
Employment anxiety questionnaire
2.3 Research Methods

Data were analyzed in SPSS 26.0 using t-tests, one-way analysis of variance (ANOVA), regression analysis, and correlation analysis. Correlation coefficients reflect the direction and strength of relationships, and values closer to 1 or -1 indicates close relationships. A multiple regression model [13] identified factors influencing participants’ employment anxiety. The employment anxiety score was used as the dependent variable, and social support and general self-efficacy were used as the independent variables. Fig. 1 shows the research flowchart.

The design and implementation of the research strictly followed the ethical principles and norms of social science research. All the survey subjects were informed of the purpose and process of the research. The research data were anonymized, and the research results were only used for academic purposes.

Fig. 1.
Research flowchart.

3. Research Results and Analysis

First, the demographic results of the samples are displayed in Table 5.

Table 5.
Demographic characteristics

From Table 5, it can be found that the gender distribution among the samples was relatively balanced, with males and females accounting for 49.77% and 50.23%, respectively. The sample also covered students from different academic grades comprehensively. In terms of majors, there were few students majoring in arts because the schools provide limited art majors. In terms of experience as student cadres, 38.3% of the participants had such experience, which was a relatively small proportion. When it comes to expected employers, the participants preferred to work in state-owned enterprises and government agencies, accounting for 43.35% and 25.23%, respectively, while only 6.65% expected to work in private enterprises. In terms of expected employment locations, over 80% of participants preferred to work in first- and second-tier cities. Based on the survey of employment expectations, it can be found that college students placed a high value on career development and showed a tendency to seek stable employment.

According to Table 6, the employment anxiety score for male students was 39.87 ± 38.64 points, while that for female students was 58.12 ± 45.36 points. Female students had higher levels of anxiety (p < 0.05), which may be related to the existing situation that employers prefer male employees.

It can be found that the scores of employment anxiety in junior and senior years were 55.61 ± 33.52 points and 57.12 ± 36.84 points, respectively, higher than those in freshmen and sophomore years (p < 0.01), indicating that there were obvious differences in employment anxiety among college students of different grades. Juniors and seniors were closer to employment than freshmen and sophomores; therefore, their employment anxiety was more severe.

Table 6.
Differences in the employment anxiety scores among the participants in terms of different demographic characteristics

The employment anxiety was serious among students of these majors. In the current employment situation, students of different majors all faced the problem of difficult employment, so the difference in this point was not significant.

The employment anxiety score of students with experience as student cadres was 41.21 < 35.64 points, and that of students without such experience was 59.33 < 43.25 points. It indicated that the employment anxiety of students without experience as student cadres was more serious (p < 0.01), which may be because employers preferred college students with experience as student cadres and believed that they had better abilities.

The employment anxiety of students with different expectations for employers was similar. At present, the overall employment environment is poor. Competition within the system is fierce, and risks in private enterprises are relatively high. The economy is on the decline, and academic qualifications are becoming devalued. The sources of employment anxiety faced by college students mainly come from job search pressures, as well as expectations from family and peer competition. These anxiety-inducing factors are unrelated to the type of employment unit. Therefore, college students with different expected employment units showed similar levels of employment anxiety.

College students whose expected employment locations were first-tier and second-tier cities or other provincial capital cities had heavier employment anxiety (p < 0.05), which is because the labor market in different regions vary. First- and second-tier cities or other provincial capital cities have more emerging industries. High technology, finance, and the Internet are more attractive to college students. Job opportunities in these regions are concentrated, and thus the competition is also more intense. The number of job positions in third- and fourth-tier cities is relatively limited, and there is also a certain gap in career development space compared with first- and second-tier cities. Thus, job competition in these regions is not as intense as in first- and second-tier cities. Faced with limited job opportunities and fierce competition, college students who hope to find jobs in first- and second-tier cities will experience more severe employment anxiety.

According to Fig. 2, employment anxiety was negatively correlated with these factors. Objective support refers to the practical support received. Subjective support refers to the emotional support that college students can perceive and experience. Support utilization degree refers to college students’ utilization of various forms of social support, such as talking to others and asking for help. In Fig. 2, the correlation between subjective support and employment anxiety among the participants was the strongest, indicating that to alleviate employment anxiety, students should learn to actively seek social support from teachers, classmates, and family members, draw strength from them, and thus gain the courage to cope with employment challenges.

Fig. 2.
Correlation analysis results (*p < 0.05, **p < 0.01).

General self-efficacy reflects whether an individual can adopt a good coping style when facing challenges. A person who believes that he or she has the ability to deal with various difficulties and challenges tends to show greater enthusiasm, initiative, and resistance under pressure, and can recover quickly when encountering setbacks and continue facing new challenges. Therefore, a person with a higher self-efficacy score usually has milder employment anxiety. This indicates that, in order to reduce employment anxiety, students should strive to improve their self-efficacy, enhance self-confidence, and strengthen the courage when facing setbacks and challenges.

Linear regression is the simplest regression algorithm in machine learning. It assumes that there is a linear association between the independent variables and the dependent variable. The regression result is:

(1)
[TeX:] $$y=w_0+w_1 x_1+w_2 x_2+\cdots+w_n x_n+\varepsilon$$

where [TeX:] $$w_0$$ is the intercept, [TeX:] $$w_1-w_n$$ are regression coefficients, [TeX:] $$\varepsilon$$ is the error term, [TeX:] $$x_1-x_n$$ are independent variables, and y is the dependent variable. The regression model analysis, with employment anxiety as the dependent variable and objective support, subjective support, degree of support utilization, and general self-efficacy as independent variables, is summarized in Table 7.

Table 7.
Results of regression model analysis

It can be seen from Table 7 that Variance inflation factor (VIF) < 5, tolerance > 0.2, indicating that there was no multicollinearity among the independent variables. All the independent variables in the model were statistically significant. Among them, subjective support contributed the most to employment anxiety, followed by general self-efficacy, objective support, and support utilization degree. According to the data in Table 7, the following regression analysis model can be obtained:

(2)
[TeX:] $$Y=159.645-1.215 X_1-3.125 X_2-0.462 X_3-1.742 X_4$$

According to these results, it can be found that social support and general self-efficacy had a great impact on students’ employment anxiety. Then, using the PROCESS program, the mediating effect was tested by sampling 5,000 times with the Bootstrap method. If the 95% bias-corrected confidence interval does not contain 0, the mediating effect is considered significant. Social support was used as the independent variable, employment anxiety was used as the dependent variable, and general self-efficacy was used as the mediating variable.

In Table 8, general self-efficacy played a partial mediating role between social support and employment anxiety, and the proportion of the mediating effect was 8.26%.

Table 8.
Test results of mediating effect

Based on the above results, when college students face employment anxiety, schools, parents, and other relevant parties should provide timely help, actively carry out mental health education, cultivate students’ self-efficacy, and establish a social support system to intervene and relieve college students’ negative emotions timely. Meanwhile, schools should further improve the employment guidance and planning to provide support for college students’ employment.

4. Conclusion

This paper analyzed the influence of social support and self-efficacy on the employment anxiety of college students using a regression model. It found remarkable differences in employment anxiety among college students based on gender, age, and other demographic characteristics. Among the influencing factors, subjective support showed the strongest correlation with the employment anxiety of college students. Both social support and general self-efficacy had a significant impact on college students’ employment anxiety. However, this study has some limitations. For instance, only students from a single university were surveyed, which limits the generalizability of the findings. In addition, the reasons behind the lack of significant differences in employment anxiety scores by major and expected employer remain unclear and require further investigation. Therefore, future research should expand the scope of the study, collect data more broadly, and conduct a more in-depth analysis of the influencing factors.

According to the research results, in practice, we should pay more attention to social support, regularly conduct mental health lectures and counseling to actively cultivate college students’ sense of self-efficacy, strengthen the construction of mental health facilities in schools, and provide practical and reliable assistance for college students’ employment and career choices, thereby helping to alleviate their employment anxiety.

Conflict of Interest

The authors declare that they have no competing interests.

Funding

None.

Biography

Hehe Liu
https://orcid.org/0009-0005-3475-0533

She is an associate professor in the Business School of Dongguan City University. She graduated from Sun Yat-sen University, majoring in computer science. Her research direction is ideological and political education for college students. She has published more than 10 papers.

Biography

Zhoutao Zhang
https://orcid.org/0009-0005-5385-6421

He is an associate professor of Dongguan Open University. He graduated from Sun Yat-sen University. His research direction is management, and he has published more than 10 papers.

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Table 1.

Demographic questionnaire
Question Option
Your gender? 1. Male
2. Female
Your grade? 1. Freshman year
2. Sophomore year
3. Junior year
4. Senior year
Your major? 1. Engineering and agriculture
2. Economic management
3. Humanities and social sciences
4. Arts
5. Other
Have you had any experience as a student cadre while in school? 1. Have had
2. Not have had
What is your expected employer? 1. Government departments
2. State-owned enterprises
3. Public institutions
4. Private enterprises
What is your expected location of employment? 1. First-tier or new first-tier cities
2. Second-tier or provincial capital cities
3. Third-tier or prefecture-level cities
4. Counties or towns

Table 2.

Social Support Scale
Question Options
How many close friends do you have who can support and help you? 1. None
2. 1-2
3. 3-5
4. 6 or more
In the last year, you: 1. Lived alone
2. Moved frequently, mostly with strangers
3. Lived with colleagues/friends/classmates
4. Lived with family
Relationship with neighbors: 1. No interaction (nodding acquaintances)
2. Minimal support during difficulties
3. Some neighbors show great concern for you
4. Most neighbors show concern for you
Relationship with colleagues: 1. No interaction (nodding acquaintances)
2. Minimal support during difficulties
3. Some colleagues show great concern for you
4. Most colleagues show concern for you
Level of support from family members: (none/very little/moderate/full): 1. Spouse/partner
2. Parents
3. Children
4. Siblings
5. Other members
Sources of financial assistance/solutions during past challenges: 1. No sources
2. Multiple sources:
A. Spouse
B. Other family members
C. Friends
D. Relatives
E. Colleagues
F. Work unit
G. Official or semi-official organizations (e.g., Party, trade unions)
H. Non-official organizations (e.g., religious/social groups)
I. Others
Sources of emotional comfort during past difficulties: 1. No sources
2. Multiple sources (select all that apply):
A. Spouse
B. Other family members
C. Friends
D. Relatives
E. Colleagues
F. Work unit
G. Official or semi-official organizations (e.g., Party, trade unions)
H. Non-official organizations (e.g., religious/social groups)
I. Others
Communication about troubles: 1. Never share
2. Share only with 1-2 close individuals
3. Share if asked
4. Proactively seek support
Help-seeking behavior: 1. Rely solely on oneself
2. Rarely ask for help
3. Occasionally ask for help
4. Frequently seek help (family members/relatives/friends/organizations)
Participation in group activities: 1. Never
2. Occasionally
3. Often
4. Actively and regularly

Table 3.

GESE scale
Completely true Somewhat true Mostly true Exactly true
Even when faced with opposition from others, I have the methods to achieve my objectives.
I find it straightforward to adhere to my ideals and accomplish what I set out to do.
When I put forth my best effort, I can always find a solution to any problem.
I believe I can efficiently handle unexpected situations
By leveraging my intelligence, I am confident in my capacity to manage unforeseen circumstances.
With sufficient effort, I can overcome the majority of challenging issues.
I remain calm when faced with challenges, as I have confidence in my problem-solving abilities.
I can usually find solutions to difficult problems.
When in trouble, I can often think of effective solutions.
Regardless of what occurs, I am fully capable of managing it with ease.

Table 4.

Employment anxiety questionnaire
Quite consistent Somewhat consistent Not quite consistent Not at all
When thinking of employment, I always feel that a disaster is coming.
I always feel that I cannot meet employers’ expectations.
When thinking of employment, I feel an overwhelming sense of heaviness.
I worry about not succeeding in many interviews.
I worry about improper behavior during the interview.
The thought of employment makes me tremble.
If there are many people competing for the same position, I will be highly nervous.
I do not know how to make a self-introduction that satisfies the interviewers.
I’m worried about being asked some questions that I don’t know how to answer.
Hearing others talk about employment makes me feel anxious.
I am afraid I won’t handle relationships with superiors and subordinates well.
I feel a lack of security regarding employment.
Near the time of employment, I can still sleep well.
I am afraid others will find better jobs than I do.
Thinking of employment, I feel very distressed.
I am afraid I won’t be accepted by colleagues.
As the employment approaches, I find it hard to calm down.
The thought of having to handle tough problems by myself in future work makes me feel scared.
As soon as I think about employment, I find it difficult to concentrate on doing other things.
The thought that others have found jobs while I haven’t makes me scared.
When thinking of employment, I lose my appetite.
If I cannot find a job, I’m afraid others will think less of me.
When it comes to employment, my mind becomes overwhelmed.
As the employment approaches, my mood remains very calm.
Worrying about employment makes me unable to sleep well.
The thought of a bad employment outcome makes me feel depressed.
I worry that I won’t be competent in my future job.
The closer I get to employment, the less cheerful I feel.
I can’t stop thinking about bad employment outcomes, and this makes me unable to focus on current tasks.

Table 5.

Demographic characteristics
Variable Category Sample size
Gender Male 217 (49.77)
Female 219 (50.23)
Grade Freshman year 121 (27.75)
Sophomore year 108 (24.77)
Junior year 99 (22.71)
Senior year 108 (24.77)
Major Engineering and agriculture 94 (21.56)
Economic management 102 (23.39)
Humanities and social sciences 98 (22.48)
Arts 64 (14.68)
Other 78 (17.89)
Experience as student cadres Have had 167 (38.30)
Not have had 269 (61.70)
Expected employer Government departments 110 (25.23)
State-owned enterprises 189 (43.35)
Public institutions 108 (24.77)
Private enterprises 29 (6.65)
Expected employment city First-tier or new first-tier cities 177 (40.60)
Second-tier or provincial capital cities 203 (46.56)
Third-tier or other prefecture-level cities 42 (9.63)
Counties or towns 14 (3.21)

Table 6.

Differences in the employment anxiety scores among the participants in terms of different demographic characteristics
Employment anxiety score t/F p
Gender 3.122 0.033
Male 39.87±38.64
Female 58.12±45.36
Grade 3.452 0.007
Freshman year 44.33±45.12
Sophomore year 45.62±48.15
Junior year 55.61±33.52
Senior year 57.12±36.84
Major 1.526 0.067
Engineering and agriculture 50.12±36.78
Economic management 52.67±39.21
Humanities and social sciences 51.27±38.64
Arts 52.79±35.61
Others 50.46±35.12
Experience as student cadres 3.625 0.005
Have had 41.21±35.64
Not have had 59.33±43.25
Expected employers 1.415 0.074
Government departments 45.68±36.11
State-owned enterprises 46.78±37.64
Public institutions 45.28±35.61
Private enterprises 46.12±36.09
Anticipated employment locations 2.124 0.041
First-tier or new first-tier cities 58.64±35.12
Second-tier or provincial capital cities 56.87±41.22
Third-tier or other prefecture-level cities 50.12±38.77
Counties or towns 48.77±35.64

Table 7.

Results of regression model analysis
B SD β t p Collinearity test
VIF Tolerance
Constant 159.645 10.258
Objective support -1.215 1.251 -0.189 -2.362 0.021 1.18 0.87
Subjective support -3.125 0.362 -0.227 -2.958 0.001 1.16 0.91
Support utilization degree -0.462 1.625 -0.172 -2.254 0.017 1.22 0.86
General self-efficacy -1.742 0.285 -0.215 -2.858 0.003 1.37 0.87

Table 8.

Test results of mediating effect
Effect value Boot standard error Boot confidence interval (95%) Effect proportion (%)
Mediating effect 0.045 0.015 [0.030, 0.090] 8.14
Direct effect 0.612 0.033 [0.565, 0.687] 91.86
Total effect 0.674 0.033 [0.612, 0.757] -
Research flowchart.
Correlation analysis results (*p < 0.05, **p < 0.01).