The purpose of the study is to explore the current level of nursing students’ study skills self-efficacy, and whether general self-efficacy and self-directed learning ability mediate the relationship between perceived stress (including positive stress and negative stress) and study skills self-efficacy.
Methods
The survey was conducted among 1,289 nursing students including 795 students from Jinzhou Medical University and 494 students from Dalian University. Participants completed a self-designed questionnaire, which included the Study Skills Self-Efficacy Scale, Perceived Stress Scale, General Self-Efficacy Scale, Self-Directed Learning Instrument, gender, age, academic year, and other demographic characteristics. Descriptive analysis, independent-samples t-test, one-way analysis of variance, Pearson correlation analyses, and the bootstrap method were used for data analysis.
Results
Positive stress significantly positively predicted students’ study skills self-efficacy, with an effect size of 0.686. Moreover, general self-efficacy and self-directed learning mediate the relationship between positive stress and study skills self-efficacy in nursing students, with effect sizes of 0.235 and 0.245, respectively. The direct effect of negative pressure on students' study skills self-efficacy is not statistically significant, but it has a significant negative predictive effect on study skills self-efficacy under the mediation of general self-efficacy and self-directed learning, with effect sizes of -0.337 and -0.238, respectively.
Conclusion
This study explains how stress affects students’ study skills self-efficacy, and the results have certain enlightenment significance for improving the stress management ability and study skills self-efficacy of college students in the future.
Hinweise
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Abkürzungen
SSSES
Study skills self-efficacy scale
PSS-14
Perceive stress scale
GSES
General self-efficacy scale
SDLI
Self-directed learning instrument
LM
Learning motivation
PI
Planning and implementing
SM
Self-monitoring
IC
Interpersonal communication
SD
Standard deviation
Background
Study skills self-efficacy, which is concerned with a person's view of their skills, is a personal belief in one's capacity to organize and carry out the actions required to obtain particular types of results [1]. According to Bandura's self-efficacy theory, one's behavior may be impacted by their perception of their ability to achieve a goal [2]. Students who have a high level of self-efficacy in a variety of academic areas are more likely to select activities that will help them advance their knowledge, expertise, and abilities in those areas [3]. Especially for nursing students, who must take control of their learning in a changing and challenging learning environment [4]. Previous studies demonstrated that self-efficacy has a positive impact on increasing nursing students' ability to solve problems [5], improving academic achievement [2, 6, 7], and enhancing learning motivation [8].
Many studies have been conducted to study what aspects would influence study skills self-efficacy, and stress are the important aspects. Stress is caused by a person's interactions with their surroundings and results from a person's assessment of their capacity to handle a demanding circumstance that exceeds the resources at their disposal [9, 10]. Moderate pressure can improve learning effectiveness and memory capacity. Nevertheless, excessive stress may affect nursing students' physical and mental health, impair their memory, and problem-solving skills, and decrease academic performance [11‐13]. Studies reveal that stress is relatively frequent among nursing students in various parts of the world [14, 15]. This pressure mainly stems from multiple factors, among which the most significant are academic pressure and clinical pressure [16‐18]. In terms of academic pressure, students need to master a vast knowledge system of medicine and nursing, facing challenges such as complex courses, exams, and assignments [17]. As the grade level increases, the difficulty and depth of courses significantly increase, requiring students to cope with stricter and more frequent assessments [19]. After entering higher grades, clinical internships become an important component of academic performance. Faced with real patients and complex medical environments, many students may worry that their nursing knowledge and practical experience are insufficient to meet the challenges [20]. High workload, adaptation to new environments, and communication difficulties further increase the pressure [21]. In addition, senior students also face employment pressure, increasing uncertainty about career prospects, and anxiety about self-evaluation [22]. These sources of stress have had a profound impact on the physical and mental health, learning outcomes, and future career development of nursing students. Therefore, I deeply feel the need to explore these issues in depth to better understand the pressure that nursing students are under and find effective mitigation strategies.
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To better investigate the effect of stress on the study skills self-efficacy of college students, general self-efficacy was introduced as a mediator based on a literature review. One source of self-efficacy is physiological, emotional, and emotional states. A positive emotional state enhances self-efficacy, enabling students to assess the challenges that need to be achieved cognitively [8]. Previous research demonstrated that self-efficacy is positively correlated with positive psychology and negatively correlated with negative psychology [23]. Under positive emotions, students can transition from mechanical passive learning to meaningful active learning, improve learning efficiency, and achieve academic goals. Whereas negative emotions are exactly the opposite [24, 25].
Self-directed learning ability plays a crucial role in improving college students' study skills self-efficacy [26]. Self-directed learning, as defined by Knowles, is a process in which individuals, with or without the assistance of others, take the initiative in diagnosing their learning requirements, formulating learning goals, identifying human and material resources for learning, selecting and implementing suitable learning strategies, and evaluating learning outcomes [27]. In recent years, self-directed learning has become increasingly important in nursing education, with universities placing particular emphasis on cultivating students' lifelong self-directed learning skills [28, 29]. For nursing students, self-learning ability is the cornerstone for them to cope with clinical challenges and continue to learn and improve [30]. This ability enables them to quickly adapt to changing environments, actively explore, and thus improve their professional level and service quality. Study skills self-efficacy is an internal factor that influences a student's ability to self-directed learning readiness, and students with high self-efficacy often exhibit more positive learning attitudes and behaviors, are brave enough to face challenges, and persist in pursuing goals [31]. Therefore, by enhancing self-efficacy, nursing students can be more confident in their studies, brave in exploring the unknown, and lay a solid foundation for their professional growth.
In sum, we built a structural equation model to explore the relationship between positive stress, negative stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy. This study makes the following hypotheses: (1) Positive stress or negative stress is significantly correlated with study skills self-efficacy; (2) Positive stress or negative stress will influence study skills self-efficacy through the mediating effect of general self-efficacy; (3) Positive stress or negative stress will influence study skills self-efficacy through the mediating effect of self-directed learning ability; (4) General self-efficacy and self-directed learning ability play a chain mediating role in the influence of positive stress and negative stress on study skills self-efficacy. The hypothesis model is shown in Fig. 1.
Fig. 1
The theoretical model of this study
×
Methods
Study design
The study followed the STROBE cross-sectional study guidelines and used a descriptive cross-sectional design.
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Settings and samples
This study adopted a multi-stage sampling design and data collection was conducted from April to May 2020. In this study, I strictly followed the random number table method to ensure the randomness and representativeness of sample selection. Firstly, by systematically selecting numbers from a random number table, we successfully selected Jinzhou Medical University and Dalian University as the source schools for our research samples from six nursing colleges in Liaoning Province, including China Medical University, Liaoning University of Traditional Chinese Medicine, Shenyang Medical College, Dalian University, Dalian Medical University, and Jinzhou Medical University. Next, classes will be selected from the vocational colleges of the two selected universities, the third batch of undergraduate students, and the second batch of undergraduate students according to a predetermined 50% ratio. On the premise of determining the total number of classes in each grade, 1–3 classes were selected in each grade according to the order specified in the random number table. Finally, in each selected class, 25–30 students were also selected as research subjects using the random number table method. Through this method, we ensure that every student has the opportunity to be selected, thereby improving the representativeness of the sample. According to the results, 1301 nursing students were ultimately selected from 46 classes, including 498 students from Dalian University and 803 students from Jinzhou Medical University. Before distributing the questionnaire, researchers explained the content, purpose, and meaning of the questionnaire to students and urged them to effectively complete the questionnaire. The students on site received a questionnaire survey with informed consent. They independently completed the questionnaire and it was retrieved by the researchers on the spot. Finally, 1289 out of 1301 nursing students successfully finished the questionnaire.
Instruments
Demographic characteristics
A self-compiled general demographic questionnaire was adopted, including the student’s age, gender, academic years, family economy, whether an only child, and whether received honors. A total of 1289 of the gathered questionnaires were valid, with a validity rate of 99%; 115 male students made up 8.9% of the sample, while 1174 female students made up 91.1%.
Outcome variable: study skills self-efficacy
The Study Skills Self-Efficacy Scale (SSSES) was developed and published by Smith, Owen, Reid, and Ramirez in 1990, to evaluate college students' self-learning efficacy [32]. This questionnaire has a total of 32 items, which are selected from Zimmerman's 15 types of self-regular learning strategies and Schmeck, Ribich, and Ramanaiah's work on learning styles. The 6-level scoring method from 1 to 6 is adopted, and the score is summed to obtain the self-learning efficacy score. The higher the score is, the stronger the study skills self-efficacy is. The reliability and validity of the Chinese version were assessed and confirmed good psychometric properties in Chinese students [33]. In our study, the value of Cronbach's α coefficient of internal consistency is 0.942, and the four dimensions of text-based critical thinking, study routine, resource utilization, and self-correction are 0.882, 0.821, 0.820, and 0.836, respectively, indicating good reliability of the scale.
Independent variables: perceived stress (positive stress and negative stress)
Perceived stress was measured using the Perceived Stress Scale (PSS-14), which is a globally used self-report scale measuring perceived stress [34]. The scale can be divided into two subscales: a negative subscale (items 1, 2, 3, 8, 11, 12, and 14) and a positive subscale (items 4, 5, 6, 7, 9, and 10). Each of these subscales has five possible answers, with 0 being never and 4 being very often [35, 36]. While the negative component focuses on evaluating the lack of control, unpleasant feelings, and behaviors, the positive component assesses the capacity to deal with perceived pressures. The two subscales of this scale, the negative and positive subscales, may have scores ranging from 0 to 28. Sum all items in the two subscales separately. In the negative subscale, a higher score indicates greater stress, while in the positive subscale, a higher score indicates less stress. This study uses the Chinese version of the PSS-14 to measure perceived pressure. By translating the original PSS-14 from English to Chinese and then back to English, the accuracy of the Chinese version was ensured [37]. In the general population of large communities in China, the Cronbach's alpha of PSS-14 is 0.830 (negative and positive subscales are 0.813 and 0.882, respectively) [37]. In our study, Cronbach’s alpha was 0.811 (0.777 and 0.874 for the negative and positive subscales, respectively).
Mediator variable: general self-efficacy
The General Self-Efficacy Scale (GSES) measure was widely used globally [38] and has been translated into Chinese by Zhang and Schwarzer [39], which aimed to evaluate a person’s perception of his/her competence in handling stressful situations effectively [40, 41]. The GSES has been used to measure self-efficacy in Hong Kong [42]. With higher scores indicating stronger self-efficacy, all 10 items are scored using a 4-point Likert scale ranging from 1 ("strongly agree") to 4 ("strongly disagree"). For the Chinese translation, Cronbach's alpha = 0.91 indicated great internal consistency [43]. The scale's internal consistency was calculated for this investigation, and the alpha was determined to be 0.900.
Mediator variable: self-directed learning ability
Self-Directed Learning Instrument (SDLI) was provided by Cheng et al. in 2010, which aimed to measure the self-directed learning abilities of nursing students [44]. The SDLI contains 4 domains of 20 items, including learning motivation (LM, 6 items), planning and implementing (PI, 6 items), self-monitoring (SM, 4 items), and interpersonal communication (IC, 4 items) [45]. Learning motivation (LM) is described as both the internal motivation of the learner and the external elements that foster a desire to learn and take ownership of one's learning. Planning and implementing (PI) is the process of setting learning goals on one's own and using the appropriate resources and strategies to achieve those goals. Self-monitoring (SM) is the capacity to assess one's learning outcomes and processes and to make progress. The capacity of learners to interact with others in a way that promotes learning is known as interpersonal communication (IC). Every SDLI item is stated positively. A 5-point Likert scale, with 1 denoting "strongly disagree" and 5 denoting "strongly agree," is used to score each item by the respondent. As a result, the SDLI's possible scores range from 20 to 100, where higher scores indicate greater levels of SDL abilities [46]. The Chinese version of SDLI had excellent reliability and validity in nursing students, and the value of Cronbach’s coefficient of SDLI was 0.916 in Cheng’s study [47]. In our study, the value of Cronbach’s α for the total scale was 0.932, and for the four domains, including LM, PI, SM, and IC, was 0.840, 0.858, 0.800, and 0.779. This scale has been shown to have good reliability and validity. A systematic review indicated that the SDLI could be used to evaluate the SDL abilities of nurses and nursing students [48]. Similarly, Shen et al. suggested that SDLI is an effective and reliable tool for assessing nursing students' self-directed learning in mainland China [46].
Data analysis
We adopted SPSS (version 26.0) and Mplus8.3 to analyze data. SPSS 26.0 was used for descriptive analysis and correlation analysis. Mean ± standard deviation was to describe the level of each variable. Pearson correlation analysis was used to investigate the relationships among perceived stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy. The chain mediation effect was analyzed using Mplus 8.3. The direct, indirect, and total effects of the test model were estimated based on the interval estimation findings to ascertain their significance. A total of 5000 Bootstrap samples were chosen to estimate the 95% confidence interval of various mediating effects. The differences were considered statistically significant at P < 0.05.
Ethical issue
The study was approved by the ethics committee of the College of Nursing at Jinzhou Medical University (ethical approval number: 2015007), and all methods were performed by the relevant guidelines and regulations. After providing information about the study's purpose and the confidentiality of the data gathered, the participating students' informed permission was also acquired. Students had the option to participate in the study or not, and completing the questionnaire was seen as a sign that they were willing to participate. The questionnaire was filled out anonymously.
Results
Table 1 shows the differences in study skills self-efficacy level according to participants’ general characteristics. The average age of the participants was 22.25 ± 2.05 years, with 1174 females (91.1%) and 115 males (8.9%). There were 405 first-year students (31.4%), 497 second-year students (38.6%), and 387 third-year students (30.0%). Regarding the family economy, 140 (73.3%), 881 (15.9%), and 268 (10.8%) participants indicated it to be high, middle, and low, respectively. The analysis of differences in study skills self-efficacy level, according to students’ general characteristics, showed significant variations based on the degree of the academic year (F = 5.489, P = 0.004), family economy (F = 3.992, P = 0.019), and with honor titles (t = 4.735, P < 0.001).
Table 1
students with different characteristics univariate analysis of SSSES
Characters
Categories
N (%)
Study skills self-efficacy
Mean ± SD
F/t
P
Age
14.48 ± 3.23
Gender
Male
115 (8.9)
14.40 ± 3.50
0.292
0.771
Female
1174 (91.1)
14.49 ± 3.20
Academic year
Freshman
405 (31.4)
14.56 ± 3.59
5.489
0.004
Sophomore
497 (38.6)
14.14 ± 3.13
Junior
387 (30.0)
14.85 ± 2.91
Being the only child
Yes
599 (46.5)
14.63 ± 3.38
1.538
0.124
No
690 (53.5)
14.36 ± 3.08
Family economy
High
140 (10.9)
14.81 ± 3.32
3.992
0.019
Middle
881 (68.3)
14.58 ± 3.15
Low
268 (20.8)
14.01 ± 3.39
With honorary titles
Yes
498 (38.6)
15.02 ± 3.24
4.735
0.000
No
791 (61.4)
14.15 ± 3.18
Table 2 shows the student’s levels of positive stress, negative stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy level. The mean positive stress was 2.34 ± 0.65 out of 5, the mean negative stress was 1.98 ± 0.58 out of 5, the mean general self-efficacy was 2.32 ± 0.50 out of 4, the mean of self-directed learning ability was 3.59 ± 0.50 out of 5, and mean of study skills self-efficacy level was 3.62 ± 0.81 out of 6. The scores of the subscales for SDLI were the highest for interpersonal communication (IC) appraisal at 3.67 ± 0.58. The mean score of the subscales for the study skills self-efficacy scale was the highest for self-correction at 3.93 ± 0.87, respectively.
Table 2
Levels of the positive stress, negative stress, GSES, SDLI, and SSSES
Variables
Min
Max
The total score
Mean (SD)
The average score
Mean (SD)
Positive stress
0
4
16.39(4.52)
2.34(0.65)
Negative stress
0
4
13.84(4.03)
1.98 (0.58)
SDLI
1
5
71.76(9.92)
3.59 (0.50)
LM
1
5
21.82(3.35)
3.64 (0.56)
PI
1
5
21.09(3.49)
3.52 (0.58)
SM
1
5
14.17(2.35)
3.54 (0.59)
IC
1
5
14.68(2.32)
3.67 (0.58)
GSES
1
4
23.20(4.97)
2.32 (0.50)
SSSES
1.25
6
14.48(3.23)
3.62 (0.81)
Study routine
1
6
21.91(5.83)
3.65 (0.97)
Resource
1
6
15.83(5.43)
3.17 (1.09)
Text-based
1.25
6
44.85(9.97)
3.74 (0.83)
Self- correction
1
6
35.34(7.82)
3.93 (0.87)
SDLI Self-directed learning instrument, LM Learning motivation, PI Planning and implementing, SM Self-monitoring, IC Interpersonal communication, GSES General self-efficacy scale, SSSES Study skills self-efficacy scale
Table 3 shows the results of the correlation analysis of participants’ positive stress, negative stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy level. The four dimensions of the study skills self-efficacy scale positively correlated with positive stress (r range from 0.090 to 0.279, P < 0.01), and general self-efficacy (r range from 0.283 to 0.387, P < 0.01). In addition, there are negative correlations with negative stress (r range from -0.112 to -0.060, P < 0.05), and the four dimensions of self-directed learning ability (r range from -0.411 to -0.267, P < 0.01).
Table 3
Descriptive statistics and correlation analysis of the positive and negative stress and the dimensions of SDLI, GSES, and SSSES
Project
Positive stress
Negative stress
SDLI
GSES
SSSES
LM
PI
SM
IC
Study routines
Resource utilization
Text-based
Self-correction
1. Positive stress
1
2. Negative stress
0.166**
1
3. LM
-0.170**
0.150**
1
4. PI
-0.158**
0.190**
0.714**
1
5. SM
-0.193**
0.166**
0.647**
0.741**
1
6. IC
-0.186**
0.147**
0.544**
0.563**
0.671**
1
7. GSES
0.201**
-0.230**
-0.369**
-0.359**
-0.397**
-0.326**
1
8. Study routine
0.192**
-0.060*
-0.375**
-0.411**
-0.375**
-0.294**
0.310**
1
9. Resource utilization
0.090**
-0.089**
-0.281**
-0.310**
-0.297**
-0.267**
0.283**
0.578**
1
10. Text-based
0.221**
-0.112**
-0.353**
-0.360**
-0.384**
-0.368**
0.387**
0.668**
0.613**
1
11. Self-correction
0.279**
-0.039
-0.356**
-0.373**
-0.383**
-0.361**
0.321**
0.802**
0.545**
0.721**
1
SDLI Self-directed learning instrument, LM Learning motivation, PI Planning and implementing, SM Self-monitoring, IC Interpersonal communication, GSES General self-efficacy scale, SSSES Study skills self-efficacy scale
*P < 0.05, **P < 0.01 and ***P < 0.001
Table 4 shows the results of regression analysis among positive stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy. Three models might be built. The first is that SSSES is the outcome variable, positive stress (β = 0.201, p < 0.001) is the prediction variable, and the fitting degree R2 is 0.040. In the second, SSSES was used as the outcome variable, positive stress (β = -0.122, p < 0.001) and GSES (β = -0.397, p < 0.001) were utilized as predictors, and the fitting degree R2 was 0.192. The third model, which has an R2 of 0.279, is created when positive stress (β = 0.123, p < 0.001), GSES (β = 0.209, p < 0.001) and SDLI (β = -0.358, p < 0.001) predict SSSES.
Table 4
Regression analysis among positive stress, GSES, SDLI, and SSSES
Outcome variable
Predictor variable
R2
b
SEs
t
p
LLCI
ULCI
M1
X1
0.040
0.201
0.043
4.680
0.000
0.115
0.283
M2
X1
0.192
-0.122
0.030
-4.031
0.000
-0.183
-0.063
M1
-0.397
0.031
-12.840
0.000
-0.455
-0.334
Y
X1
0.279
0.123
0.033
3.722
0.000
0.058
0.188
M1
0.209
0.031
6.796
0.000
0.148
0.268
M2
-0.358
0.028
-12.849
0.000
-0.411
-0.303
SDLI Self-directed learning instrument, GSES General self-efficacy scale, SSSES Study skills self-efficacy scale, X1 Positive stress, M1 General self-efficacy, M2 self-directed learning ability, Y Study skills self-efficacy
Table 5 shows the results of regression analysis among negative stress, general self-efficacy, self-directed learning ability, and study skills self-efficacy. Three models might be built. The first is that SSSES is the outcome variable, negative stress (β = -0.230, p < 0.001) is the prediction variable, and the fitting degree R2 is 0.053. In the second, SSSES was used as the outcome variable, negative stress (β = 0.100, p < 0.001) and GSES (β = -0.399, p < 0.001) were utilized as predictors, and the fitting degree R2 was 0.187. When negative stress (β = 0.037, p < 0.001), GSES (β = 0.234, p < 0.001), and SDLI (β = -0.380, p < 0.001) predict SSSES and the third model with R2 of 0.266 is constructed.
Table 5
Regression analysis among negative stress, GSES, SDLI, and SSSES
Outcome variable
Predictor variable
R2
b
SEs
t
p
LLCI
ULCI
M1
X2
0.053
-0.230
0.034
-6.738
0.000
-0.293
-0.160
M2
X2
0.187
0.100
0.029
3.432
0.001
0.041
0.154
M1
-0.399
0.028
-14.265
0.000
-0.452
-0.342
Y
X2
0.266
0.037
0.031
1.219
0.223
-0.023
0.098
M1
0.234
0.030
7.820
0.000
0.175
0.292
M2
-0.380
0.029
-13.275
0.000
-0.435
-0.323
SDLI Self-directed learning instrument, GSES General self-efficacy scale, SSSES Study skills self-efficacy scale, X2 Negative stress, M1 General self-efficacy, M2 self-directed learning ability, Y Study skills self-efficacy
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Mediation effect
Study skills self-efficacy ability as variable Y, positive stress as variable X1, negative stress as variable X2, general self-efficacy, and study skills self-efficacy as multiple mediating variables, general self-efficacy as M1 and study skills self-efficacy as M2, and mediation analysis was performed. A total of 5000 Bootstrap samples were chosen in order to estimate the 95% confidence interval of various mediating effects. Bootstrap test results show no 0 between BootLLCI and BootULCI, indicating a significant mediating effect.
Table 6 of the test findings suggests that general self-efficacy and self-directed learning ability have partial mediation effects between positive stress and study skills self-efficacy, with a mediating effect of 0.639. Three mediating chains work together to provide the mediating effect. First, indirect effect: X1 → M1 → Y, and general self-efficacy plays a significant mediating role; Second, indirect effect: X1 → M2 → Y, self-directed learning ability plays a significant mediating role; Third, chain mediating effect: X1 → M1 → M2 → Y, demonstrating the importance of both these traits in the chain multiple mediation between positive stress and study skills self-efficacy. The three routes' impact values were 0.235, 0.245, and 0.159. Figure 2 depicts the precise path of the chain mediation effect of positive stress and self-efficacy of study skills in college students.
Table 6
The mediating effect of GSES and SDLI between positive stress and SSSES
Effect types
Effect
Boot SE
Boot LLCI
Boot ULCI
Two-tailed significance
Total effect
1.325
0.224
0.877
1.754
0.000
Direct effect
0.686
0.188
0.319
1.060
0.000
Total indirect effect
0.639
0.107
0.435
0.851
0.000
X1 → M1 → Y
0.235
0.058
0.134
0.363
0.000
X1 → M2 → Y
0.245
0.066
0.124
0.384
0.000
X1 → M1 → M2 → Y
0.159
0.035
0.097
0.234
0.000
GSES General self-efficacy scale, SDLI Self-directed learning instrument, X1 Positive stress, M1 General self-efficacy, M2 self-directed learning ability, Y Study skills self-efficacy
Fig. 2
Chain mediating models of GSES and SDLI between Positive stress and SSSES. X1: Positive stress; M1: GSES; M2: SDLI; Y: SSSES
×
Table 7 of the test results show that general self-efficacy and self-directed learning ability have partial mediating effects between negative stress and study skills self-efficacy, and the mediating effect is -0.792. First, indirect effect: X2 → M1 → Y, and general self-efficacy plays a significant mediating role; Second, indirect effect: X2 → M2 → Y, self-directed learning ability plays a significant mediating role; Third, chain mediating effect: X2 → M1 → M2 → Y, which shows that general self-efficacy and self-directed learning ability play a significant role in chain mediating effect between positive stress and study skills self-efficacy. The effect values of the three pathways were -0.337, -0.238, and -0.218. The specific path of the chain mediation effect of college students’ negative stress and study skills self-efficacy is shown in Fig. 3.
Table 7
The mediating effect of GSES and SDLI between negative stress and SSSES
Effect types
Effect
Boot SE
Boot LLCI
Boot ULCI
Two-tailed significance
Total effect
-0.559
0.228
-0.994
-0.104
0.014
Direct effect
0.233
0.192
-0.138
0.616
0.223
Total indirect effect
-0.792
0.117
-1.027
-0.575
0.000
X2 → M1 → Y
-0.337
0.068
-0.483
-0.219
0.000
X2 → M2 → Y
-0.238
0.069
-0.375
-0.103
0.001
X2 → M1 → M2 → Y
-0.218
0.042
-0.312
-0.144
0.000
GSES General self-efficacy scale, SDLI Self-directed learning instrument, X2 Negative stress, M1 General self-efficacy, M2 self-directed learning ability, Y Study skills self-efficacy
Fig. 3
Chain mediating models of GSES and SDLI between Negative stress and SSSES. X2: Negative stress; M1: GSES; M2: SDLI; Y: SSSES
×
Discussion
This study identified the mediating pathways by which stress influences the study skills self-efficacy of college students. The findings showed that general self-efficacy and self-directed learning ability play partially mediating roles in the relationship between positive stress and study skills self-efficacy. However, general self-efficacy and self-directed learning ability play completely mediating roles in the relationship between negative stress and study skills self-efficacy.
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The results of regression analysis showed that positive stress significantly positively predicted study skills self-efficacy, which is obviously consistent with the previous result [49]. Córdova A. et al. demonstrated that Stress is not a mere negative aspect; it is necessary for learning, becoming a positive aspect when it is under control [49]. Due to the different ways students experience stress, good stress management can generate positive emotions, while poor stress management can lead to negative emotions [50, 51]. Under positive emotions, students can transition from mechanical passive learning to meaningful active learning, improve learning efficiency, and achieve academic goals. Whereas negative emotions are exactly the opposite [24]. Our study also found that negative stress can negatively predict study skills self-efficacy on the basis of general self-efficacy and self-directed learning ability, but the direct effect is not statistically significant. Therefore, we should attach great importance to the different effects of positive and negative stress on the emotions of college students, in order to utilize the role of positive emotions to improve students' study skills self-efficacy.
This study shows that general self-efficacy and self-directed learning ability play a chain intermediary role in the relationship between positive and negative stress and study skills self-efficacy, indicating that the mediating effect of general self-efficacy and self-directed learning ability was established. In addition to the direct effect of positive stress, it can also affect study skills self-efficacy through the indirect role of general self-efficacy and self-directed learning ability. However, we did not find a direct effect of negative stress on study skills self-efficacy. Students with high general self-efficacy tend to have high study skills self-efficacy during the learning and internship process [7]. Moreover, self-directed learning ability also plays a partial mediating role between positive stress and study skills self-efficacy. Interestingly, our study found self-directed learning had a negative predictive effect on study skills self-efficacy, meaning that the higher a students’ self-directed learning ability, the lower their study skills self-efficacy. This may be because self-directed learning ability requires students to have more control over their learning and a higher sense of self-determination. Whereas improving students' study skills self-efficacy should be attributed more to their level of effort rather than their ability [52]. Additionally, self-directed learning has some drawbacks, including difficulties with finding teaching and learning resources, a lack of teacher supervision, inefficient time management, and challenges in evaluating learning processes and outcomes [53]. These issues may impede the development of students' study skills self-efficacy.
Limitations and further studies
Although a chain mediating effect of general self-efficacy and self-directed learning ability on the relationship between positive and negative stress and study skills self-efficacy was demonstrated, this study had some limitations. Firstly, cross-sectional design means that we cannot directly derive causal relationships. Secondly, we only investigated nursing students from two medical universities in Liaoning Province, so this result may be geographically limited. Thirdly, 91.1% of the students in this study are female, so there may be gender biases in the survey results, which are not reflected in the research results. Lastly, The sample collected in this study did not cover all grades, and the study only included nursing students from freshman to junior year, which may limit the generalizability of the research results. In addition, differences in environmental exposure can also affect the results. Due to the fact that the research sample covered multiple grades, but did not analyze in detail the specific impact of different environments on student stress, it is difficult to accurately determine the role of environmental differences in stress formation. Future research should strive to expand the sample size to include nursing students from different regions and all grades of universities, especially senior and graduate students. A more comprehensive understanding of the stress situations faced by students in different grades, as well as the changing trends of stress with learning stages. In addition, a more detailed analysis should be conducted on the different environments that students are exposed to, such as classrooms, laboratories, clinical settings, etc., to explore the specific impact of different environments on student stress. In addition to general self-efficacy and self-directed learning ability, further research is needed to investigate whether there are other mediating factors on the impact mechanism of stress on college students' self-efficacy in learning skills.
Conclusion
This study shows that positive stress has a positive effect on study skills self-efficacy in nursing students, but negative stress has a negative effect on study skills self-efficacy in nursing students. General self-efficacy and self-directed learning ability played a chain mediating role between positive and negative stress and study skills self-efficacy. The chain mediating effect indicates that general self-efficacy and self-directed learning ability have important practical significance in improving college students’ study skills self-efficacy. This study will provide a reference for educators to improve the stress management ability and study skills self-efficacy of college students in the future.
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Acknowledgements
We thank the members of the research as well as all participants for their contribution.
Declarations
Ethics approval and consent to participate
The study was approved by the ethics committee of the College of Nursing at Jinzhou Medical University (ethical approval number: 2015007), and all methods were performed in accordance with the relevant guidelines and regulations. The study was performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki. All participants have provided informed consent before the data collection. Participating students were promised that the information provided would remain anonymous.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
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Effect of stress on study skills self-efficacy in Nursing students: the chain mediating role of general self-efficacy and self-directed learning
verfasst von
Xiaoyun Zhang Lei-lei Guo Ying Wang Yuqing Li Jiaofeng Gui Xue Yang Yujin Mei Haiyang Liu Jin-long Li Yunxiao Lei Xiaoping Li Lu Sun Liu Yang Ting Yuan Congzhi Wang Dongmei Zhang Jing Li Mingming Liu Ying Hua Lin Zhang