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The mediating effects of self-efficacy and study engagement on the relationship between specialty identity and career maturity of Chinese nursing students: a cross-sectional study

BMC Nursing volume 23, Article number: 339 (2024) Cite this article

Abstract

Background

Career maturity is a crucial indicator of career preparedness and unpreparedness can cause the turnover of new nurses. Considerable empirical work demonstrates the potential associations between specialty identity, self-efficacy, study engagement, and career maturity. This study aimed to explore the mediation role of self-efficacy and study engagement on the relationships between specialty identity and career maturity among Chinese nursing students.

Methods

Four hundred twenty-six Chinese nursing students were recruited between September 11 and October 30, 2022. The online survey was conducted following the CHERRIES checklist. Electronic questionnaires assessed their perceived specialty identity, self-efficacy, study engagement, and career maturity. The descriptive analysis, Harman single-factor analysis, Pearson correlation tests, structural equation modeling, and the bootstrap method were employed in data analysis.

Results

Bivariate correlation analysis identified a positive correlation between specialty identity, self-efficacy, study engagement, and career maturity (r = 0.276–0.440, P < 0.001). Self-efficacy and study engagement partially mediated the relationship between specialty identity and career maturity. Self-efficacy and study engagement played a chain mediating role between specialty identity and career maturity.

Conclusions

The underlying mechanism can explain the relationships between specialty identity and career maturity: a direct predictor and an indirect effect through self-efficacy and study engagement. Policymakers and educators should emphasize the importance of specialty identity and provide tailored strategies for improving care maturity depending on nursing students’ specialty identity, self-efficacy, study engagement in the early stages of career development.

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Introduction

The media visibility obtained by nursing during the COVID-19 pandemic has made the public aware of nurses’ role in promoting and maintaining health [1]. As the social environment becomes more conducive to nursing career development, adequate awareness and preparedness for nursing careers are driving nursing students to adapt to and be satisfied with their careers [2, 3].

Career maturity is a crucial indicator of career preparedness [4], which is defined as the readiness to make age-appropriate career decisions with adequate information and accomplish career development-related tasks [5]. Unpreparedness and difficulties in taking on the nurse’s role were the main reasons newly graduated nursing students left nursing in their first years [6]. The turnover rate for new nurses in their first year of employment can reach as high as 69%, with a range of 12.10–69% [6,7,8,9]. In addition, new nurses who experienced higher levels of career maturity were also less likely to leave the profession [10]. Therefore, more research focusing on career maturity should re-engage nursing educators and managers and support the development of customized programs in the early stage of career development.

Background

Specialty identity as a predictor to career maturity

Super’s theory emphasizes that career development is a lifelong activity closely related to individual maturity and experiences [11]. It encompasses the development of behaviors and professional identity [12]. Work values, including professional identity, are crucial for career development and can influence career maturity [13]. professional identity significantly correlates with high school students’ career maturity [14]. Additionally, specialty identity appears as a part of professional identity in studies worldwide [15]. To clarify this concept in student groups, specialty identity is defined as the emotional acceptance and recognition of learners based on their understanding of the specialty being studied, accompanied by positive external behaviors and an inner sense of satisfaction [15]. Therefore, this study proposes Hypothesis 1: specialty identity significantly predicts career maturity among Chinese nursing students.

The mediating effect of self-efficacy between specialty identity and career maturity

Self-efficacy and career maturity are positively related [16, 17]. According to social cognitive theory, self-efficacy is a belief in a person’s ability to achieve their goal [18]. Regarding career maturity, self-efficacy could be an internal driver for students to dedicate themselves to the fields they have chosen [16]. Students with high self-efficacy can improve their professionalism and self-confidence, thereby achieving high degrees of career maturity [16]. Further, professional identity is found to be significantly correlated with self-efficacy [19, 20]. Yao et al. [21] found that self-efficacy mediated between professional identity and self-reported competence among nursing students. Thus, this study poses Hypothesis 2: Self-efficacy is the mediating variable affecting specialty identity and career maturity among Chinese nursing students.

The mediating effect of study engagement between specialty identity and career maturity

Study engagement is a vital variable related to academic performance, achievement, persistence, and retention, which refers to a positive psychological process including attention, energy and effort in learning [22, 23]. Astin’s theory of student involvement emphasizes that the significant environmental factors that can influence their engagement entail students’ backgrounds, such as residence, experiences, and academic involvement [24]. A significant correlation exists between study engagement and career maturity [25]. Moreover, Liu et al. [26] report that professional identity is positively correlated with study engagement, and the mediating role of study engagement in professional identity and career adaptability is significant. Based on the above evidence, this study posits Hypothesis 3: study engagement is the mediating variable affecting specialty identity and career maturity among Chinese nursing students.

The chain mediating effect of self-efficacy and study engagement between specialty identity and career maturity

Based on the aforementioned information, self-efficacy and study engagement may play a single mediating role between specialty identity and career maturity. However, the relationship between self-efficacy and study engagement remains to be clarified. In addition, whether these variables play a chain mediating effect between specialty identity and career maturity must be explored. Previous research has shown that self-efficacy positively correlates with study engagement [27, 28]. The relationship between specialty identity and career maturity may be influenced by self-efficacy in the first place and by study engagement in the second. Therefore, this study proposes Hypothesis 4: Chain mediation describes the relationship among the four variables.

Overall, this study explores the relationship between specialty identity and career maturity. It also examines the potential mediation model of specialty identity, self-efficacy, and career maturity, the potential mediation model of specialty identity, study engagement, and career maturity, and the potential chain mediation of the four variables using mediation analysis.

Methods

Design

This cross-sectional online survey was conducted among nursing students between September 11 and October 30, 2022. This online survey was designed, disseminated and conducted following the Checklist for Reporting Results of Internet E-Surveys (CHERRIES) [29] (see in the Supplement File 1). The online questionnaire entailed demographic sheet and four instruments with different question styles (single choice and Likert scales).

Variables and data collection instruments

Sociodemographic variables

Sex (female, male), Higher education institution type (university, college), and Degree (diploma, bachelor’s).

Specialty identity

The College Student Specialty Identity Scale (CSSIS) developed by Qin [15], was used to measure medical students’ specialty identity [30]. It is a 23-item scale with four subscales (cognitive, emotional, behavioral, and appropriateness). Students scored each item on a five-point Likert scale (1–5: strongly disagree to strongly agree). In Qin’s study, it had good reliability (α = 0.955) [15]. In the present study, Cronbach’s α was 0.949.

Study engagement

Study engagement was assessed using the Utrecht Work Engagement Scale-Student (UWES-S) [31]. Schaufeli et al. [32] developed the UWES and revised its items to measure students’ study engagement. Li & Huang [31] introduced UWES-S, translated it into Chinese, and validated it among undergraduate students. The UWES-S comprises 17 items grouped into three subscales (vigor, dedication, and absorption) and uses a 7-point scale (0 = never, to 7 = always). The cumulative scores range from 0 to 102, with higher scores indicating greater study engagement. The internal consistency using Cronbach’s alpha was 0.919 [31]. In this study, Cronbach’s α = 0.956.

Self-efficacy

This study used the Chinese version of the General Self-Efficacy Scale to assess self-efficacy [33]. Schwarzer et al. [34] developed the original version. It was adapted to the context of China and validated by Wang et al. [33]. It is a 10-item scale with a 4-point Likert scale (from completely incorrect to completely correct). Cronbach’s alpha was 0.871 in Wang et al.’s study [33]. In this study, Cronbach’s α = 0.899.

Career maturity

Career maturity was measured using the validated Chinese version of the career maturity scale [35]. The original version developed by Lee [36] was translated into Chinese by Zhang et al. [35]. The instrument entails 34 items broken down into six subscales: career decisiveness (CD), career confidence (CC), career independence (CI), career value (CV), relational dependence (RD), and career reference (CR). A 5-point Likert scale, ranging from strongly disagree to strongly agree, was adopted. The range of total scores was 34–170, with higher values indicating higher levels of career maturity. Its reliability coefficient was 0.86, as measured using Cronbach’s alpha [35]. In this sample, Cronbach’s α = 0.900.

Participants and data collection procedure

This study was conducted at five higher education institutions in Hubei province, China. The target population, full-time nursing students, were surveyed using convenience sampling. The suggested minimum sample size based on Monte Carlo simulations studies was adopted [37], and the minimum and maximum sample sizes for structural equation models were 200 and 460 respectively [38]. The final sample size in the design stage was 250–575, accommodating a possible dropout rate of 20%.

For data collection, we uploaded the integrated questionnaires on Wenjuanxing (https://www.wjx.cn/, Acquired NO.168,902,709). This website offers the most popular and convenient tool for anonymous data collection and collecting data anonymously extraction. One investigator from each university or college was invited to collect the data. All investigators held master’s degrees and understood the critical points for questionnaire collection well. Simple training was conducted before questionnaire distribution. Each nursing student can review and change their answers if necessary, but they were provided only one chance to submit the online questionnaires. The individual IP address can be yielded after submissions and provided for verification. Finally, 560 questionnaires were administered. After double-checking and eliminating invalid questionnaires, 426 valid questionnaires were extracted, yielding an effective response rate of 76.07%.

Data analysis

After completing the descriptive analysis, Harman single-factor analysis was performed to assess the common method bias, and Pearson correlations were calculated in SPSS Version 26.0. Subsequently, structural equation modeling was validated, and the chain-mediation effect was examined using the bootstrap method in AMOS Version 23.0 with 5000 samples. The significance level was set at 0.05.

Ethical considerations

This study was approved by the Ethics Committee of Jingmen No. 2 People’s Hospital, affiliated to Jingchu University of Technology (Approval No.2020002-1). All students provided verbal consent to participate in the study and voluntarily completed and submitted the questionnaire.

Results

Harman single-factor analysis

The self-reported nature of the data meant the possibility of common method bias [39]. The Harman single-factor analysis showed that the eigenvalues of the five common factors were greater than 1. The first common factor explained 35.50% of the variance, which is lower than the recommended threshold of 50% [40]. Therefore, no common method bias was detected.

Descriptive statistics and correlation analysis

The sociodemographic variables were as follows: female (n = 370, 86.85%), male (n = 56, 13.15%); university (n = 322, 75.59%), college (n = 104, 24.41%); freshmen (n = 101, 23.71%), sophomores (n = 166, 38.97%), juniors (n = 127, 29.81%), seniors (n = 32, 7.51%); Urban areas (n = 151, 35.45%), Rural areas (n = 275, 64.55%). The age of nursing students range from 18 to 25 (mean = 19.89, SD=1.27 ) (see Table 1).

Table 1 Nursing students’ characteristics (n = 426)
Full size table

Table 2 shows the mean scores of the four key variables were 80.40 ± 21.66, 57.56 ± 16.04, 26.23 ± 9.37, and 113.42 ± 31.61. Positive correlations were found between the key variables: specialty identity and study engagement (r = 0.276), specialty identity and self-efficacy (r = 0.319), specialty identity and career maturity (r = 0.300), study engagement and self-efficacy (r = 0.420), study engagement and career maturity (r = 0.319), and self-efficacy and career maturity (r = 0.440) (each p < 0.001).

Table 2 Descriptive statistics and correlation analysis between key variables (n = 426)
Full size table

The chain-mediation effect analysis

A chain-mediation structural model was constructed with specialty identity as the independent variable, career maturity as the dependent variable, and self-efficacy and study engagement as the mediating variables. The model fitting results showed that χ2/df = 2.965, the comparative fit index = 0.963, the Tucker-Lewis index = 0.958, and the root mean square error of approximation = 0.068, indicating good model fit. The chain-mediation effect model diagram of specialty identity, self-efficacy, study engagement, and career maturity of nursing students is shown in Fig. 1.

Fig. 1
figure 1

The chain mediation effect model diagram of specialty identity, self-efficacy, study engagement, and career maturity of nursing students

Full size image

The bootstrapping method found that the 95% confidence interval (95% CI) of the chain-mediation path from specialty identity to career maturity was [0.002, 0.054], which did not include 0, indicating significance. Thus, two possible mediation effects were detected: the mediating roles of self-efficacy in the relationship between specialty identity and career maturity and of study engagement in the relationship between specialty identity and career maturity, both of which were significant with a 95% CI (see Table 3).

Table 3 Bootstrap analysis of the significance test of mediation effects
Full size table

Discussion

This study explored the relationships between specialty identity, self-efficacy, study engagement, and career maturity and demonstrated the mediation models in Chinese nursing students. The finding identified a positive correlation between specialty identity and career maturity, and specialty identity can influence career maturity in three ways: self-efficacy, study engagement, and self-efficacy → study engagement, supporting the four Hypotheses. Despite this study did not validate the potential confounders such as career resilience [20], career adaptability [26], and resource management [29], the findings may improve our understanding of the underlying mechanism of these four variables and provide meaningful ideas for taking measures to improve nursing students’ career maturity.

In this study, the findings revealed a positive correlation between specialty identity and career maturity, indicating that specialty identity could significantly predict career maturity in nursing students, which is consistent with previous studies [14, 41]. However, most nursing students enrolled in nursing school with insufficient specialty identity owing to poor nursing image and a lack of acknowledgment of career growth [42], meaning their unpreparedness for learning nursing and career development. Specialty identity is an emotional foundation of career maturity, and it can serve as a powerful psychological adjustment when it comes to nursing students’ specialty or job selection. Therefore, the importance of specialty identity on career maturity should be valued by nurse educators and clinical mentors, and further studies should specifically develop and conduct the education program to verify the roles of specialty identity in the early stage of career development. For example, an innovative course about the power of nursing including embracing the healer’s art course, seed talk and reflection exercises was found to connect the nursing students’ values to their specialty identity, and facilitate their professional formation and the development of nursing practice [43].

The first pathway confirmed was the mediating role of self-efficacy in the relationship between specialty identity and career maturity, aligning with its mediating effect on professional identity and career maturity in a previous study [41]. When nursing students perceive higher levels of specialty identity, they may have a stronger sense of self-efficacy and achieve greater career maturity. This finding is consistent with the Knowledge–Attitude–Belief–Practice model [44]. For nursing students, specialty identity and self-efficacy can support attitudes and beliefs about learning nursing specialties [21] and play the role of internal driving strength in the chase for a feasible professional study plan and career plan. As a result, career maturity could be a feedback indicator for learning behaviors and career preparedness.

This study also verified the mediating effect of study engagement on specialty identity and career maturity. This finding is consistent with a mediation analysis confirming the mediating role of study engagement between professional identity and career maturity among pre-service kindergarten teachers [25]. This result also supports the predictive impact of study engagement on the beneficial development of careers [26, 45]. The mediating effect of study engagement revealed that if nursing students perceive high levels of specialty identity, they might have greater study engagement, achieve more knowledge and skills related to the nursing specialty, and possess high degrees of career maturity to adapt to the nursing profession. However, this study identified the study engagement had a limited mediating effect with a low effect size. The possible reason is that nursing is a specialized and complex discipline, which requires lifelong learning as health needs change and medical technology advances. In a short period, study engagement can improve nursing knowledge and skills, which is conducive to career preparedness, but high levels of career maturity are the result of long-term study engagement especially since this career needs continued education or continued career development [46].

Additionally, these findings supported the assertion that the chain relationship between self-efficacy and study engagement mediates the relationship between specialty identity and career maturity. The indirect effect of the pathway, including self-efficacy, was greater than that of the chain pathway and the pathway, including a single study engagement. Higher specialty identity could yield higher self-efficacy [19, 20], and higher self-efficacy is related to greater study engagement [27, 28]. Thus, nursing students with higher specialty identity might have higher self-efficacy and greater study engagement, which leads to higher career maturity. This model also revealed that increased self-efficacy might contribute to nursing students’ high study engagement levels. When nursing students have a sense of high self-efficacy, their learning behaviors become more effective. They are more willing to devote themselves to learning, thus producing higher study engagement. Despite some studies have demonstrated the effect of interventions such as career planning group counseling [47] and self-reflection-focused career course [48] on nursing students’ career maturity, what we found in this study provide theoretical foundation for the development and implementation of multifaceted interventions to improve nursing students career maturity and career development. Furthermore, further attention should be given to the interdisciplinary collaborations, such as positive psychology and nursing education, that can be contribute to explore novel perspectives and approaches to studying career maturity.

This study had some limitations. First, the cross-sectional design without a longitudinal method fails to explore the changes in psychological variables over time, which might restrict the temporal and causal inference. Therefore, scholars should focus on exploring the trajectory changes of these variables, notably the mutability of these psychological features, in the further studies, and the longitudinal and sustained interventions like tutor systems and peer learning should be strongly encouraged. Second, the nursing students were selected from five schools in Hubei province, China, which might limit the generalizability to all Chinese nursing students. As there are disparities in the curriculum systems of different schools, the results could be impacted by cognitive errors caused by teaching philosophy and training purposes. Therefore, the potential influencing factors should be considered and other mediators excluding self-efficacy and study engagement also should be explored in further studies. Third, selection bias may arise from the application of convenience sampling. Therefore, scholars could employ probability sampling methods like random stratified sampling to recruit nursing students. Finally, since all instruments were self-reported, the true feelings of these nursing students were not captured or tracked. From this, the research designs to deepen the understanding of the mechanisms underlying nursing students’ career development, such as mixed-method study and qualitative study, should be considered.

Conclusion

A correlational and mediation analysis was used to examine the relationships between four variables. Specialty identity could be a predictive factor for nursing students’ career maturity. Most importantly, specialty identity can indirectly influence career maturity among nursing students through the mediating effect of self-efficacy, study engagement, and the chain mediating effect of self-efficacy and study engagement, supporting career-related theories. Policymakers and educators should focus on the value of specialty identity to promote nursing students’ career development. Specialty identity may be conducive to stimulating students with a strong sense of self-efficacy and robust study engagement. Nursing students with high self-efficacy and study engagement may perceive greater career maturity. Thus, scholars and educators should be encouraged to provide tailored career guidance programs and practical interventions to enhance nursing students’ career maturity in the early stage of career development.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Fawaz M, Anshasi H, Samaha A. Nurses at the Front line of COVID-19: roles,responsibilities, risks, and rights. Am J Trop Med Hyg. 2020;103(4):1341–2. https://doi.org/10.4269/ajtmh.20-0650.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Kim J, Shin S. Development of the nursing practice readiness scale for new graduate nurses: a methodological study. Nurse Educ Pract. 2022;59:103298. https://doi.org/10.1016/j.nepr.2022.103298.

    Article  PubMed  Google Scholar 

  3. Zhang J, Shields L, Ma B, et al. The clinical learning environment, supervision and future intention to work as a nurse in nursing students: a cross-sectional and descriptive study. BMC Med Educ. 2022;22(1):548. https://doi.org/10.1186/s12909-022-03609-y.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Lee I, Heok JW, Rojewski, Roger B. Hill. Classifying Korean adolescents’ career preparedness. Int J Educ Vocat Guid. 2013;13:25–45. https://doi.org/10.1007/s10775-012-9236-5.

    Article  Google Scholar 

  5. Savickas ML. Career maturity: the construct and its measurement. Vocat Guid Q. 1984;32(4):222–31. https://doi.org/10.1002/j.2164-585X.1984.tb01585.x.

    Article  Google Scholar 

  6. Casey K, Fink R, Jaynes C, Campbell L, Cook P, Wilson V. Readiness for practice: the senior practicum experience. J Nurs Educ. 2011;50(11):646–52. https://doi.org/10.3928/01484834-20110817-03.

    Article  PubMed  Google Scholar 

  7. Chen SF, Fang YW, Wang MH, Wang TF. Effects of an Adaptive Education Program on the Learning, Mental Health and Work intentions of New Graduate nurses. Int J Environ Res Public Health. 2021;18(11):5891. https://doi.org/10.3390/ijerph181158915. Published 2021 May 31.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kovner CT, Brewer CS, Fatehi F, Jun J. What does nurse turnover rate mean and what is the rate? [published correction appears in Policy Polit Nurs Pract. 2017;18(4):216–217]. Policy Polit Nurs Pract. 2014;15(3–4):64–71. https://doi.org/10.1177/1527154414547953.

  9. Zhang YP, Huang X, Xu SY, Xu CJ, Feng XQ, Jin JF. Can a one-on-one mentorship program reduce the turnover rate of new graduate nurses in China? A longitudinal study. Nurse Educ Pract. 2019;40:102616. https://doi.org/10.1016/j.nepr.2019.08.010.

    Article  PubMed  Google Scholar 

  10. Kawai K, Yamazaki Y. The effects of pre-entry career maturity and support networks in workplace on newcomers’ mental health. J Occup Health. 2006;48(6):451–61. https://doi.org/10.1539/joh.48.451.

    Article  PubMed  Google Scholar 

  11. Super DE. A life-span, life-space approach to career development, edited by D Brown, L Brooks & Associates. Career choice and development: Applying contemporary theories to practice.1990.2nd edition. San Francisco: Jossey-Bass.

  12. Schreuder AMG, Coetzee M, Careers. An organisational perspective. 2011. 4th edition. Cape Town: Juta.

  13. Langley R, Du Toit R, Herbst DL. Manual for the career development questionnaire. Pretoria: Human Sciences Research Council. 1992; 157:373–422.

  14. Dipeolu A, Deutch S, Hargrave S, Storlie CA. Developmentally relevant Career constructs: response patterns of youth with ADHD and LDs. Can J Career Dev. 2019;18(1):45–55.

    Google Scholar 

  15. Qin P. B.The characteristics and correlation study of college students’ specialty identity [Chinese]. Master thesis: Southwest University.2009.

  16. Purwandika R, Ayriza Y. The influence of self-efficacy on career maturity of high school students in pacitan regency. In2nd International Seminar on Guidance and Counseling 2019 (ISGC 2019) 2020; (pp. 93–7). Atlantis.

  17. Singh PK, Shukla RP. Relationship between career maturity and self-efficacy among male and female senior secondary students. MIER J Educational Stud Trends Practices. 2015 Nov;10:164–79. https://doi.org/10.52634/mier/2015/v5/i2/1486.

  18. Bandura A. On the functional properties of perceived self-efficacy revisited. J Manag. 2012;38(1):9–44.

    Google Scholar 

  19. Mei XX, Wang HY, Wu XN, Wu JY, Lu YZ, Ye ZJ. Self-Efficacy and Professional Identity among freshmen nursing students: a latent Profile and Moderated Mediation Analysis. Front Psychol. 2022;13:779986. https://doi.org/10.3389/fpsyg.2022.779986.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Zhou Y, Chen S, Deng X, Wang S, Shi L. Self-efficacy and career resilience: the mediating role of professional identity and work passion in kindergarten teachers. J Psychol Afr. 2023;33(2):165–70. https://doi.org/10.1080/14330237.2023.2207052.

    Article  Google Scholar 

  21. Yao X, Yu L, Shen Y, Kang Z, Wang X. The role of self-efficacy in mediating between professional identity and self-reported competence among nursing students in the internship period: a quantitative study. Nurse Educ Pract. 2021;57:103252. https://doi.org/10.1016/j.nepr.2021.103252.

    Article  PubMed  Google Scholar 

  22. Bond M, Buntins K, Bedenlier S, Zawacki-Richter O, Kerres M. Mapping research in student engagement and educational technology in higher education: a systematic evidence map. Int J Educational Technol High Educ. 2020;17(1):1–30. https://doi.org/10.1186/s41239-019-0176-8.

    Article  Google Scholar 

  23. Schaufeli WB, Martinez IM, Pinto AM, Salanova M, Bakker AB. Burnout and engagement in university students: a cross-national study. J Cross-Cult Psychol. 2002;33(5):464–81.

    Article  Google Scholar 

  24. Astin AW. Student involvement: a developmental theory for higher education. InCollege student development and academic life, 2014 (pp. 251–62). Routledge.

  25. Zhang L, Chen M, Zeng X, Wang X. The relationship between professional identity and career maturity among pre-service kindergarten teachers: the mediating effect of learning engagement. Open J Social Sci. 2018;6(6):167–86. https://doi.org/10.4236/jss.2018.66016.

    Article  Google Scholar 

  26. Liu X, Ji X, Zhang Y, Gao W. Professional Identity and Career adaptability among Chinese Engineering students: the Mediating Role of Learning Engagement. Behav Sci (Basel). 2023;13(6):480. https://doi.org/10.3390/bs13060480.

    Article  PubMed  Google Scholar 

  27. Wu H, Li S, Zheng J, Guo J. Medical students’ motivation and academic performance: the mediating roles of self-efficacy and learning engagement. Med Educ Online. 2020;25(1):1742964. https://doi.org/10.1080/10872981.2020.1742964.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Eysenbach G. Improving the quality of web surveys: the Checklist for reporting results of internet E-Surveys (CHERRIES). J Med Internet Res. 2004;6(3):e34. https://doi.org/10.2196/jmir.6.3.e34.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Heo H, Bonk CJ, Doo MY. Influences of depression, self-efficacy, and resource management on learning engagement in blended learning during COVID-19. Internet High Educ. 2022;54:100856. https://doi.org/10.1016/j.iheduc.2022.100856.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Zhang X, Sun B, Tian Z, et al. Relationship between honesty-credit, specialty identity, career identity, and willingness to fulfill the contract among rural-oriented tuition-waived medical students of China: a cross-sectional study. Front Public Health. 2023;11:1089625. https://doi.org/10.3389/fpubh.2023.1089625.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Li X, Huang R. A revise of the UWES-S of Chinese college samples. Psychol Res. 2010;3(1):84–8.

    Google Scholar 

  32. Schaufeli WB, Salanova M, González-Romá V, Bakker AB. The measurement of engagement and burnout: a two sample confirmatory factor analytic approach. J Happiness Stud. 2002;3:71–92.

    Article  Google Scholar 

  33. Wang CK, Hu ZF, Liu Y. Reliability and validity of General self-efficacy scale. Chin J Appl Psychol. 2001;7(1):37–40. https://doi.org/10.396 9/j.issn.1006-6020.2001.01.007. (in Chinese).

    Article  Google Scholar 

  34. Schwarzer R, Mueller J, Greenglass E. Assessment of perceived general self-efficacy on the internet: data collection in cyberspace. Anxiety Stress Coping. 1999;12(2):145–61.

    Article  Google Scholar 

  35. Zhang ZY, Rong Y, Guan YJ. Reliability and validity of Career Maturity Scale for Chinese College Students. J Southwest Normal Univ (Humanities Social Sci Edition). 2006;32(5):1–6. (in Chinese).

    Google Scholar 

  36. Lee KH. A cross-cultural study of the career maturity of Korean and United States high school students. J Career Dev. 2001;28(1):43–57. https://doi.org/10.1023/A:1011189931409.

    Article  Google Scholar 

  37. Kyriazos TA. Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology. 2018;9(08):2207. https://doi.org/10.4236/psych.2018.98126.

    Article  Google Scholar 

  38. Wolf EJ, Harrington KM, Clark SL, Miller MW. Sample size requirements for structural equation models: an evaluation of power, bias, and solution propriety. Educ Psychol Meas. 2013;73(6):913–34.

    Article  Google Scholar 

  39. Jordan PJ, Troth AC. Common method bias in applied settings: the dilemma of researching in organizations. Aust J Manage. 2020;45(1):3–14. https://doi.org/10.1177/0312896219871976.

    Article  Google Scholar 

  40. Duong CD. Psychological distress related to Covid-19 in healthy public (CORPD): a statistical method for assessing the validation of scale. MethodsX. 2022;9:101645. https://doi.org/10.1016/j.mex.2022.101645.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Kornspan AS, Etzel EF. The relationship of demographic and Psychological Variables to Career Maturity of Junior College Student-Athletes. J Coll Student Dev. 2001;42(2):122–32.

    Google Scholar 

  42. Kandil F, El Seesy N, Banakhar M. Factors affecting students’ preference for nursing education and their intent to leave: a cross-sectional study. Open Nurs J. 2021;15(1):1–8. https://doi.org/10.2174/187443460211501000.

    Article  Google Scholar 

  43. WHO. Knowledge, Attitudes, and Practices (KAP) Surveys during Cholera Vaccination Campaigns: Guidance for Oral Cholera Vaccine Stockpile Campaigns. [(accessed on 15 July 2023)]. Available online: https://www.who.int/publications/m/item/knowledge-attitudes-and-practices-(kap)-surveys-during-cholera-vaccination-campaigns-guidance-for-oral-cholera-vaccine-stockpile-campaigns.

  44. Peng MY, Yue X. Enhancing Career decision status of socioeconomically disadvantaged students through Learning Engagement: perspective of SOR Model. Front Psychol. 2022;13:778928. https://doi.org/10.3389/fpsyg.2022.778928.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Day L, Ziehm SR, Jessup MA, Amedro P, Dawson-Rose C, Derouin A, Kennedy BB, Manahan S, Parish AL, Remen RN. The power of nursing: an innovative course in values clarification and self-discovery. J Prof Nurs. 2017;33(4):267–70. https://doi.org/10.1016/j.profnurs.2017.01.005.

    Article  PubMed  Google Scholar 

  46. Mlambo M, Silén C, McGrath C. Lifelong learning and nurses’ continuing professional development, a metasynthesis of the literature. BMC Nurs. 2021;20(1):62. https://doi.org/10.1186/s12912-021-00579-2.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Xie WY, Yang XL, Cai YM, Mo W, Shen ZM, Li YH, Zhou BF, Li YL. Evaluation of career planning group counseling and its effectiveness for intern male nursing students. BMC Med Educ. 2023;17(1):34. https://doi.org/10.1186/s12909-022-03981-9.

    Article  Google Scholar 

  48. Kim JH, Shin HS. Effects of self-reflection-focused career course on career search efficacy, career maturity, and career adaptability in nursing students: a mixed methods study. J Prof Nurs. 2020;36(5):395–403. https://doi.org/10.1016/j.profnurs.2020.03.003

    Article  PubMed  Google Scholar 

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Acknowledgements

We greatly appreciate the support of all nursing students from five schools in Hubei province for their voluntary participation in this study.

Funding

Not applicable.

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Authors and Affiliations

  1. Department of Nursing, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

    Yanjia Liu, Yanhong Han & Lijuan Xiong

  2. Department of Nursing Science, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia

    Yanjia Liu & Mei Chan Chong

  3. Department of Medicine, Jingchu University of Technology, Jingmen, Hubei, China

    Hui Wang

Authors
  1. Yanjia Liu
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  2. Mei Chan Chong
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  3. Yanhong Han
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  4. Hui Wang
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  5. Lijuan Xiong
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Contributions

Study design: XLJ, CMC, HYH; Data collection and analysis: WH, LYJ; Manuscript preparation: LYJ, HYH. All authors reviewed the manuscript.

Corresponding author

Correspondence to Lijuan Xiong.

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Ethics approval and consent to participate

This study has been approved by the Ethical Review Committee of Jingmen No.2 People’s Hospital, affiliated with Jingchu University of Technology (Approval No.2022002-1). All methods were performed in accordance with the relevant guidelines and regulations. Informed consent was obtained from all subjects involved in the study.

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The authors declare no competing interests.

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Liu, Y., Chong, M.C., Han, Y. et al. The mediating effects of self-efficacy and study engagement on the relationship between specialty identity and career maturity of Chinese nursing students: a cross-sectional study. BMC Nurs 23, 339 (2024). https://doi.org/10.1186/s12912-024-02002-y

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  • DOI: https://doi.org/10.1186/s12912-024-02002-y

Keywords

BMC Nursing

ISSN: 1472-6955

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