Burnout, stress and resilience in the competitive examination process for educational corps

Burnout, estrés y resiliencia en el proceso de oposición a cuerpos educativos

https://doi.org/10.4438/1988-592X-RE-2023-402-594

Eduardo Melguizo Ibáñez

https://orcid.org/0000-0003-3693-2769

Universidad de Granada

Gabriel González Valero

https://orcid.org/0000-0001-7472-5694

Universidad de Granada

Félix Zurita Ortega

https://orcid.org/0000-0002-1189-894X

Universidad de Granada

José Luis Ortega Martín

https://orcid.org/0000-0003-4875-0188

Universidad de Granada

Abstract

Preparing for a permanent position as a teacher in the public teaching profession in Spain is a complex and tedious process that can lead to the appearance of disruptive mental states in the candidate. In light of the above, this research aims to study the levels of resilience, stress, burnout syndrome and hours of study among candidates applying for public teaching posts at different levels of education and to investigate the effects of resilience, stress and burnout syndrome on the number of hours of study spent by candidates at different levels of education through structural equation modelling. For the development of the research, a descriptive, comparative and cross-sectional study was carried out on a sample of 4117 candidates in early childhood education, primary and secondary education. The instruments used have been validated by the scientific community and adapted to Spanish showing a high degree of reliability. In this case, the questionnaires used were the Perceived Stress Scale (PSS), the Maslach Burnout Inventory (MBI) and the Connor-Davidson Resilience Scale (CD-RISC). The results show that candidates for the pre-primary and primary education corps have higher levels of stress and burnout syndrome than candidates for the secondary education corps. In addition, secondary school teacher candidates show higher levels of resilience and a higher number of study hours. In conclusion, it is stated that the levels of burnout, stress and resilience may vary according to the educational stage for which the candidates are applying and that resilience is a fundamental element that helps to prevent and channel the negative states derived from stress and burnout syndrome.

Keywords: education system, stress, teacher burnout, resilience academic, Preschool Education, Elementary Education, Secondary Education.

Resumen

La preparación para conseguir una plaza fija como maestro del cuerpo público docente en España es un proceso complejo y tedioso que puede originar la aparición de estados mentales disruptivos en el opositor. Atendiendo a todo lo citiado anteriormente, esta investigación muestra los objetivos de estudiar los niveles de resiliencia, estrés, síndrome de burnout y horas de estudio entre los candidatos que optan a un puesto docente público en los diferentes niveles educativos e investigar los efectos de la resiliencia, el estrés y el síndrome de burnout sobre el número de horas de estudio que dedican los candidatos en los distintos niveles educativos a través de un modelo de ecuaciones estructurales. Para el desarrollo de la investigación se ha llevado a cabo un estudio descriptivo, comparativo y de corte transversal en una muestra de 4117 opositores de educación infantil, primaria y secundaria. Los instrumentos empleados han sido validados por la comunidad científica y adaptados al castellano mostrando un alto grado de fiabilidad. En este caso los cuestionarios empleados han sido la Escala de Estrés Percibido (PSS), el Inventario de Burnout de Maslach (MBI) y la Escala de Resiliencia de Connor-Davidson (CD-RISC). Atendiendo a los resultados, estos ponen de manifiesto que los opositores al cuerpo de educación infantil y primaria presentan niveles más altos de estrés y síndrome de burnout que los candidatos al cuerpo de educación secundaria. Además, los candidatos a profesores de secundaria muestran mayores niveles de resiliencia y un mayor número de horas de estudio. Como conclusion, se afirma que los niveles de burnout, estrés y resiliencia pueden variar en fucnión de la etapa educativa a la que se presentan los opositores y que la resiliencia es un elemento fundamental que ayuda a prevenir y a canalizar los estados negativos derivados del estrés y del síndrome de burnout.

Palabras clave: sistema escolar, estrés, burnout escolar, resiliencia académica, Educación Infantil, Educación Primaria, Educación Secundaria.

Introduction

Currently, the role of teachers in society is essential to understand the educational reality of every country (Parker et al., 2022). In this regard, the Spanish process of selection of teachers at the preschool, elementary, lower secondary and upper secondary levels differs from the rest of Europe in that the Spanish recruitment process involves a two-phase state examination (Suárez-Riveiro et al., 2013). The first one consists in demonstrating breath of knowledge specific to each education level that teacher candidates apply for (Real Decreto 270/2022). This demonstration is carried out through a written examination about a topic randomly chosen by the examination board where the teacher candidate sits the exam (Real Decreto 270/2022). The second phase of the examination aims to test the teaching aptitude of the candidates as well as the necessary techniques to hold a teaching position. This phase consists in the defense of a unit of work (Real Decreto 270/2022).

The process of training for these state examinations leads teacher candidates, who are commonly known as “opositores” in the Spanish education field, to start preparing for the public examination with high self-imposed expectations (Calderón et al., 2020). Undergoing constant levels of high expectations results in an increase in levels of stress and the onset of disruptive states that decrease the motivation needed for tasks, directly influencing the preparation for the public examination (de la Fuente y Amate, 2019).

In this regard, one of the most common states in this process is the burnout syndrome (Gutentag et al., 2017). This term is defined as a state of physical, mental and emotional exhaustion that results in a lack of interest in an activity or profession (Freudenberger, 1989; Tikkanen et al., 2022). In the education field, teachers have manifested a higher degree of physical and mental exhaustion when carrying out their duties (Agyapong et al., 2022). Likewise, the preparation for an examination over a long period of time increases the levels of burnout syndrome (Daumiller et al., 2021). It has also been observed that different variables come into play as catalyzers for the onset of physical and mental exhaustion, stress being one of those variables (Zhao et al., 2022).

Stress has been defined by numerous authors, however, this state is characterised by mental fatigue resulting from the effort to perform above the current level of competence, which contributes to the onset of mental and physical disorders (Zhen et al., 2022). Its onset is not spontaneous, but is characterised by an onset divided into three phases (Selye, 1975). The first phase consists of an alarm reaction whereby the subject becomes alert to a given stimulus (Selye, 1975). After the continuation of this phase, a resistance phase takes place, in which individuals cope with the stressor (Selye, 1975). The last phase consists of an exhaustion phase, in which the subject shows signs of mental and physical fatigue as a result of coping with the stressor stimulus (Selye, 1975).

Teaching is one of the most mentally and physically exhausting occupations, as teachers show increased levels of stress (Raducu and Stanculescu, 2022). The study conducted by de la Fuente and Amate (2019) showed that during preparation for the state examination for a public teaching post in Spain, high stress levels are the result of self-imposed high expectations as well as a sense of uncertainty. In contrast, factors such as resilience have been found to prevent increased stress levels and the occurrence of burnout syndrome (Yu et al., 2022).

Resilience is defined as the capacity that individuals possess to recover from adverse situations (Bartell et al., 2019). In the education field, resilience is defined as the aptitude to overcome any negative effect with the view to developing the competitiveness in the social, vocational and academic field despite undergoing negative effects (Mansfield et al., 2016). Resilience has been demonstrated to play a key role in the education field to prevent the onset of disruptive and unfavorable states that affect the teaching practice (Zhang et al., 2020). Specifically, the study carried out by González-Valero et al. (2021) highlights that within the Spanish educational context, it is necessary to incorporate resilience into teacher training. Similarly, Díaz-Sánchez and Barra-Almagia (2017) establish that resilience is a factor that helps to develop job satisfaction despite intrinsic adversities such as lack of rest, social obstacles and mental health. Likewise, observations have been made that while preparing to get a permanent placement in the public system, the population with the lowest levels of stress and burnout syndrome have higher levels of resilience in addition to studying more hours (Melguizo-Ibáñez et al., 2022).

In light of the above, this study addresses the following questions: Does resilience contributes to reducing the effects of stress and the burnout syndrome? Does the education level that teacher candidates qualify for directly exert influence in terms of resilience, burnout syndrome, stress and study hours?

Finally, the main research objective is to empirically study the levels of resilience, stress, burnout syndrome and study hours among candidates for public teaching positions at different educational levels and to investigate the effects of resilience, stress and burnout syndrome on the number of study hours spent by teacher candidates at different educational levels through structural equation modelling.

Research methods and Instruments

A cross-sectional, comparative descriptive study was carried out, with the data studied at a single point in time. In this case, the data were collected from January 2022 to May of the same year.

Sample

In this case, a total of 4169 participants took part, but the final sample consisted of a total of 4117 candidates. The reduction of the sample was mainly due to the fact that some participants did not fully answer the questionnaire and because others randomly completed some questions. Looking at the gender distribution of the sample, 33.1% (n=1363) is male and 66.9% (n=2754) is female. With regard to the distribution of the stage of education being applied for, 13.9% (n=574) of teacher candidates were applying for a place in early childhood education, 76.2% (n=3134) were applying for primary education and 9.9% (n=409) were applying for secondary education.

Regarding the distribution by Autonomous Community, Table I shows a summary of the population reached by each one of them.

Table I. Geographic distribution of the sample

 

N

%

Andalusia

  922

  22.4%

Catalonia

  158

    3.8%

Community of Madrid

  629

  15.3%

Valencian Community

  576

  14.0%

Galicia

  401

    9.7%

Castille and Leon

  254

    6.2%

Basque Country

    30

    0.7%

Canary Islands

  126

    3.1%

Castille La Mancha

  359

    8.7%

Region of Murcia

  213

    5.2%

Aragon

    73

    1.8%

Balearic Islands

    31

    0.8%

Extremadura

  110

   2.7%

Asturias

  113

    2.7%

Navarre

    39

    0.9%

Cantabria

    69

    1.7%

La Rioja

    14

    0.3%

Total

4117

100.0%

Instruments

Procedure

In order to collect the data, a literature study was carried out beforehand to find out about the different instruments used and their degree of reliability. Once the instruments for data collection had been established, a Google Form document was created that included these instruments and the objectives of the research. Most of the data were collected telematically. For this purpose, the different social networks were used, inviting only education opponents to collaborate. The only criterion for inclusion was that the participants had to be candidates in pre-school, primary or secondary education. In addition, all participants took part in the study on a voluntary basis. Before being given access to the instrument, they were asked for their informed consent and were assured that the data would be processed for scientific purposes and anonymously. To ensure that the responses were not random, two questionnaires were duplicated, eliminating respondents whose answers were not identical in the questionnaires. As a result, 13 respondents were discarded. Furthermore, the research followed the criteria established in the Declaration of Helsinki and was approved and supervised by an ethics committee of the University of Granada (2966/CEIH/2022).

For the comparative analysis of the results, the statistics software IBM SPSS Statics 25.0 (IBM Corp, Armonk, NY, U.S.) was used. Firstly, the normality of the distribution of the sample was evaluated with the Kolmogorov-Sminov test. Upon obtaining a normal distribution, we proceeded to conduct an ANOVA for a single factor, examining the differences among the teacher candidates qualifying for a permanent placement in the public education system at the pre-school, elementary and secondary levels. For the analysis of the statistically significant differences, a significance level of p ≤ 0.05. was established. To calculate the statistical power, the standardized Cohen’s d was used (Cohen, 1992). With respect to the value obtained, the value can be classified into four levels: null (≤0.19), small (0.20-0.49), medium (0.50-0.79) and large (≥0.80).

To develop the structural equation modeling, the statistical software IBM SPSS Amos 26.0 (IBM Corp., Armonk, NY, U.S.) was used. Each proposed model consists of a total of eleven variables. Nine of them are endogenous (STR; EE; DP; PR; CP; PER; CUP; ADP; SP) and two are exogenous (BURN; RES). For the latter group of variables, a casual explanation is put forward departing from the reliability of the measures and indexes. Accordingly, the measurement errors of the distinct models were included. In respect of the direction of the arrows, unidirectional relationships are interpreted by taking the regression weights as a starting point. To determine statistically significant differences, two levels of significance were established, one with a p ≤ 0.05 and another one with a p ≤ 0.001.

FIGURE I. Theorethical model proposed

Note: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR); Resilience (RES); Burnout Syndrome (BURN).

To assess the fit of the different models, the criteria established by Bentler (1990) and McDonald and Marsh (1990) were adopted. Goodness of Fit should be determined using the chi-square test, with non-significant values indicating good model fit. Also, the values of the Comparative Fit Index (CFI), Goodness of Fit Index and Incremental Fit Index should be greater than 0.900, while the Root Mean Squared Error of Approximation (RMSEA) scores should be less than 0.100 to obtain a good fit.

Results

Table II shows the results obtained from the comparative analysis. The results obtained for the stress variable indicate that the participants with the highest values are the early childhood education candidates (36.9425±7.53203). With respect to the variables related to burnout syndrome, it is obtained that the candidates for early childhood education have the highest levels of emotional exhaustion (38.5024±7.61440). Continuing with depersonalisation, it is observed that primary education candidates show the highest levels (16.6211±6.32141), while secondary education candidates had the highest levels of personalisation (26.9046±8.17550). In terms of resilience, secondary school candidates showed the highest levels of Persistence/Tenacity/Self-Efficacy (2.8020±0.75042), Adaptability and Support Networks (2.8824±0.63159), Control and Purpose (2.7330±0.74486) and Spirituality (2.4230±0.79493). In contrast, early childhood education opponents show the highest levels of Control under pressure (2.5601±0.79503).

TABLE II. Comparisson regarding the education level that teacher candidates were qualifying for

 

N

N

S.D

F

p

ES (d)

95% CI

STR

Pre-school education

574

36.9425

7.53203

30.339

≤ 0.05

0.115a

0.593b

0.453c

[0.026; 0.204]a

[0.464; 0.723]b

[0.350; 0.557]c

Elementary education

3134

35.9588

8.76870

Secondary education

  409

31.9438

9.53601

EE

Pre-school education

  574

38.5024

7.61440

16.844

≤ 0.05

0.470b

0.386c

[0.341; 0.598]b

[0.282; 0.489]c

Elementary education

3134

37.7347

7.98429

Secondary education

  409

34.5946

9.22580

DP

Pre-school education

  574

16.1477

6.86158

18.347

> 0.05

NP

NP

Elementary education

3134

16.6211

6.32141

Secondary education

  409

16.1134

6.83954

PF

Pre-school education

  574

24.1735

7.58864

  6.104

≤ 0.05

0.470b

0.608c

[0.341; 0.598]b

[0.284; 0.491]c

Elementary education

3134

23.7809

8.03754

Secondary education

  409

26.9046

8.17550

PER

Pre-school education

  574

  2.4571

0.73786

19.679

≤ 0.05

0.464b

0.379c

[0.336; 0.593]b

[0.276; 0.482]c

Elementary education

3134

  2.5074

0.78076

Secondary education

  409

  2.8020

0.75042

CUP

Pre-school education

  574

  2.5601

0.79503

12.817

≤ 0.05

0.332b

0.434c

[0.204; 0.460]b

[0.331; 0.538]c

Elementary education

3134

  2.5533

0.87439

Secondary education

  409

  2.2726

0.95660

ADP

Pre-school education

  574

  2.6317

0.62969

15.107

≤ 0.05

0.398b

0.339c

[0.270; 0.526]b

[0.236; 0.442]c

Elementary education

3134

  2.6568

0.66976

Secondary education

  409

  2.8824

0.63159

CP

Pre-school education

  574

  2.4199

0.69198

19.139

≤ 0.05

0.438b

0.371c

[0.310; 0.567]b

[0.268; 0.475]c

Elementary education

3134

  2.4584

0.73925

Secondary education

  409

  2.7330

0.74486

SPR

Pre-school education

  574

  2.3438

0.81190

  2.370

≤ 0.05

0.135c

[0.032; 0.238]c

Elementary education

3134

  2.3052

0.88316

Secondary education

  409

  2.4230

0.79493

NHS

Pre-school education

  574

  5.0436

2.14562

12.898

≤ 0.05

0.128c

[0.025; 0.231]c

Elementary education

3134

  4.9076

2.39642

Secondary education

  409

  5.2127

2.27868

Note I: a Differences between pre-school and elementary education; b Differences between pre-school and secondary education; c Differences between elementary and secondary education.
Note II: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

Continuing with the structural equation modeling, the model proposed for preschool teacher candidates preparing for the state examination demonstrated good fits for each of its indexes. The chi-square test indicated a non-significant p value (χ2=5.738; df=31; pl=0.000), but in spite of the good fit, the results cannot be interpreted isolatedly given the sample size and statistic sensitivity (Tenembaum & Eklund, 2007). For this model, the values of the Comparative Fit Index (CFI), the Goodness of Fit Index (GFI) and the Incremental Fit Index (IFI) were higher than 0.900 while the RMSEA showed a value of 0.086.

The results obtained for preschool teacher candidates show a positive relation between stress and resilience (β=0.009). hey also indicate a positive relation between stress and the burnout syndrome (p≤0.001; β=0.790). As regards the study hours, they suggest a negative relation with the burnout syndrome (p≤0.05; β=−0.511) and resilience (β=−0.064). By contrast, a positive relation was obtained between the study hours and stress (p≤0.001; β=0.467). Finally, the results point to a negative effect of the burnout syndrome on the levels of resilience (p≤0.001; β=−0.627).

The model proposed for elementary school teacher candidates preparing for the state examination demonstrated good measures of fit for each of its indexes. The chi-square test indicated a non-significant p value (χ2=4.569; df=16; pl=0.001). Similarly, the values of the Comparative Fit Index (CFI), the Goodness of Fit Index (GFI) and the Incremental Fit Index (IFI) were higher than 0.910 while the RMSEA showed a value of 0.079.

TABLE III. Proposed structural model for preschool teacher candidates

Associations between variables

R.W.

S.R.W.

Estimates

S.E.

C.R.

Estimates

S.E.

STR ← RES

  0.265

2.205

  0.120

0.904

  0.009

STR ← BURN

  1.546

0.223

  6.919

    ***

  0.790

PER ← RES

  1.000

 

 

 

  0.318

CUP ← RES

  2.207

0.291

  7.585

    ***

  0.824

ADP ← RES

  2.180

0.284

  7.664

    ***

  0.893

CP ← RES

−1.047

0.181

−5.768

    ***

−0.346

SPR ← RES

  2.471

0.323

  7.644

    ***

  0.872

EE ← BURN

  1.000

 

 

 

  0.506

DP ← BURN

  0.680

0.096

  7.108

    ***

  0.375

PF ← BURN

−1.315

0.130

−10.135

    ***

−0.659

NHS ← RES

−0.530

0.647

−0.818

0.413

−0.064

NHS ←BURN

−0.291

0.100

−2.907

      **

−0.511

NHS ← STR

  0.136

0.035

  3.907

    ***

  0.467

RES ← →BURN

−0.615

0.109

−5.657

    ***

−0.627

Note I: Regression Weights (R.W.); Standardized Regression Weights (S.R.W.); Estimation Error (S.E.); Critical Ratio (C.R.).
Note II: ***p ≤ 0.001; **p ≤ 0.05.
Note III: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

FIGURE II. Proposed model for preschool teacher candidates

Note: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

TABLE IV. Results of the proposed model for elementary education candidates

Associations between variables

R.W.

S.R.W.

Estimates

S.E.

C.R.

Estimates

S.E.

STR ←RES

−3.579

1.562

  −2.406

 **

−0.072

STR ← BURN

  1.347

0.068

  19.857

***

  0.769

PER ← RES

  1.000

 

 

 

  0.192

CUP ← RES

  3.599

0.349

  10.315

***

  0.824

ADP ← RES

  3.523

0.340

  10.351

***

  0.890

CP ← RES

−2.447

0.250

  -9.784

***

−0.473

SPR ← RES

  3.952

0.382

  10.335

***

  0.857

EE ← BURN

  1.000

 

 

 

  0.626

DP ← BURN

  0.575

0.027

  21.438

***

  0.455

PF ← BURN

−1.118

0.037

  −29.884

***

−0.696

NHS ← RES

  1.138

0.448

  2.538

 **

  0.080

NHS ←BURN

−0.106

0.029

−3.659

***

−0.222

NHS ← STR

  0.052

0.012

  4.265

***

  0.190

RES ← →BURN

−0.578

0.061

−9.488

***

−0.681

Note I: Regression Weights (R.W.); Standardized Regression Weights (S.R.W.); Estimation Error (S.E.); Critical Ratio (C.R.).
Note II: ***p ≤ 0.001; **p ≤ 0.05.
Note III: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

FIGURE III. Proposed structural model for elementary school teacher candidates

Note: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

The model developed for elementary school teacher candidates highlights the negative effect of resilience on stress (p≤0.05; β=−0.072). y contrast, a positive effect of the burnout syndrome on stress was observed (p ≤ 0.001; β=0.769). As regards the daily study hours, the evidence suggests a negative effect of the burnout syndrome (p≤0.001; β=−0.222) and positive effects of stress (p ≤ 0.001; β=0.190) and resilience (p≤0.001; β=0.080). Finally, the results point to a negative relation between resilience and the burnout syndrome (p≤0.001; β=−0.681).

The model proposed for secondary school teacher candidates preparing for the state examination demonstrated good measures of fit for each of its indexes. The chi-square test indicated a non-significant p value (χ2=5.538; df=13; pl=0.002). imilarly, the index values were higher than 0.900 while the RMSEA showed a value of 0.088.

The model developed for secondary school teacher candidates evidences the positive effect of resilience and the burnout syndrome on stress (β=0.419; β=0.251). As regards the daily study hours, the evidence suggests a negative effect of the burnout syndrome (β=−0.853) and resilience in like manner (β=−0.481). By contrast, a positive effect of stress on the hours of study was observed (β=0.193). Finally, the results show a negative effect of resilience on the burnout syndrome (p ≤ 0,001; β=−0.936).

TABLE V. Results of the proposed model for secondary school candidates

Associations between variables

R.W.

S.R.W.

Estimates

S.E.

C.R.

Estimates

S.E.

STR ←RES

13.860

22.459

    0.617

0.537

  0.419

STR ← BURN

  2.377

  1.365

    1.741

0.082

  0.251

PER ← RES

  1.000

 

 

 

  0.365

CUP ← RES

  2.174

  0.307

    7.070

    ***

  0.840

ADP ← RES

  1.899

  0.267

    7.120

    ***

  0.872

CP ← RES

−2.182

  0.329

  −6.635

    ***

−0.650

SPR ← RES

  2.258

  0.317

    7.113

    ***

  0.867

EE ← BURN

  1.000

 

 

 

  0.568

DP ← BURN

  0.393

  0.074

    5.299

    ***

  0.289

PF ← BURN

−1.161

  0.106

−10.962

    ***

−0.717

NHS ←BURN

  1.000

  1.735

  −1.012

  0.311

−0.853

NHS ← RES

−19.666

20.170

  −0.950

0.342

−0.481

NHS ← STR

  0.357

  0.324

    1.102

0.270

  0.193

RES ← →BURN

−1.376

  0.241

  −5.723

    ***

−0.936

Note I: Regression Weights (R.W.); Standardized Regression Weights (S.R.W.); Estimation Error (S.E.); Critical Ratio (C.R.).
Note II: ***p ≤ 0.001; **p ≤ 0.05.
Note III: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

FIGURE IV. Proposed model for secondary school candidates

Note: Stress (STR); Emotional Exhaustion (EE); Depersonalization (DP); Personal Realization (PR); Control and Purpose (CP); Persistence/Tenacity/Self-Efficacy (PER); Control Under Pressure (CUP); Adaptability and Support Networks (ADP); Spirituality (SPR).

Discussion

Following the presentation of the results above, the discussion that ensues aims to compare them with those of similar studies.

The present descriptive study highlights that secondary school teacher candidates preparing for the state examination have lower levels of stress than pre-school and elementary school teacher candidates. The results of secondary school teacher candidates stand in contrast with those of pre-school and elementary teacher candidates, in that the former group must study a greater number of topics (Orden EDU/3138/2011). Nonetheless, these results may be accounted for the fact that when the data was collected, the state examination for preschool and elementary school teacher candidates was imminent (Resolución de 25 de marzo de 2022). On this matter, the study undertaken by Zandi et al. (2021) indicates that when an examination is approaching, the levels of stress and anxiety increase due to self-imposed expectations to get good grades.

With reference to the burnout syndrome, pre-school and elementary school teacher candidates had higher levels of both mental exhaustion and depersonalization. By contrast, secondary school teacher candidates were found to have a greater sense of personal accomplishment. Concerning these findings, Khoshhal et al. (2017) state that during the preparation for a test, the onset of disruptive states is promoted driving individuals to emotional exhaustion (Ji et al., 2022). Similarly, getting good grades have been found to lead to an increase in personal accomplishment as well as in the academic self-concept (Paechter et al., 2022).

In terms of resilience, secondary school teacher candidates showed higher levels. In relation to these results, Liu et al. (2021) state that when an exam is approaching with long-term preparation, resilience levels are higher. This is in line with research by Yuan (2017), where he states that when exams are approaching, they negatively affect candidates' performance. In addition, candidates in early childhood and primary education were found to study fewer hours. Long-term preparation for an exam leads to increased mental and emotional exhaustion, which has an impact on study hours and, in turn, affects exam preparation in terms of attitude and performance (Melguizo-Ibáñez et al., 2022).

With respect to the effects suggested through the structural equation modeling, the evidence points to a positive effect between resilience and stress among preschool and secondary school teacher candidates. Conversely, a negative effect was observed between both variables among elementary school teacher candidates. Concerning these findings, Anyan et al. (2021) conclude in their study that resilience helps to prevent the effects generated by disruptive states such as anxiety and stress. This effect helps young people to enhance their academic performance and achieve better outcomes (Trigueros et al., 2020). Furthermore, in their study, Ursu and Mairean (2022) claim when a positive relation between disruptive states and resilience is evident, further development in emotion regulation on the subjects’ side is needed given that disruptive states exert a stronger effect on resilience.

The results of the present study coincide with those obtained by González-Valero et al. (2022), who assert that the burnout syndrome increases the levels of stress because of the academic and job dissatisfaction that this state generates. Likewise, it has been observed that the burnout syndrome promotes other adverse states for peoples’ mental health as it increases the levels of anxiety (Daumiller et al., 2021). The results of the present study also point to a negative effect of the burnout syndrome on the number of study hours among preschool and secondary school teacher candidates. By contrast, they suggest a positive effect among elementary school teacher candidates. Concerning these findings, a study conducted by Olson et al. (2015) concludes that resilience is a factor that benefits the preparation for a test. This capacity helps to mitigate the disruptive states that stem from the preparation process, and thus it helps to enhance performance (Olson et al., 2015).

With regard to the effect of the burnout syndrome and the number of study hours, this study identified a negative effect. Similar results were obtained by Melguizo-Ibáñez et al. (2022), who contend that the burnout syndrome affects the preparation for a test. Similarly, Zheng et al. (2022) conclude that the burnout syndrome promotes emotional exhaustion. A positive effect on the number of study hours was also observed. Results elsewhere found by Agyapong et al. (2022) suggest that undue stress can contribute to resignation from a given activity due to a feeling of distress or incompetence. Finally, a negative relation between the burnout syndrome and resilience was observed in this study. Similar results were obtained by Zhang et al. (2020), who claim that resilience is a mitigating factor that helps to prevent the onset of disruptive states.

Even though this study examines the proposed hypotheses and objectives, it faced a series of limitations that had implications for the investigation.

Firstly, these limitations have to do with the type of study. Given that this study is not longitudinal but cross-sectional, the variables can only be examined at a concrete point in time. The second limitation has to do with the instruments used for the data collection. In spite of the use of validated instruments by the scientific community, they inherently have errors of measurement.

For future lines of research, a program may set out to train teacher candidates sitting the state exam to mitigate disruptive states that stem from the preparation.

Conclusions

The present study investigated the levels of stress, burnout syndrome, resilience of number of study hours in a sample of teacher candidates qualifying for a permanent placement in the public Spanish education system.

The descriptive analysis highlights that pre-school and elementary school teacher candidates preparing for the state examination have higher levels of stress and burnout syndrome than secondary school teacher candidates. By contrast, secondary school teacher candidates show higher levels of resilience and study for more hours.

In respect of the models of structural equations, the results indicate a positive effect of resilience on stress among preschool and secondary school teacher candidates. By contrast, they show a positive effect of resilience on the number of hours of study among elementary education teacher candidates. Furthermore, they reflect a positive effect of the burnout syndrome on stress. As regards the burnout syndrome, the results point to a negative effect on the number of study hours among all the teacher candidates. With respect to the effect of stress on the number of study hours, a positive relation was observed for all the teacher candidates. Finally, a negative effect of the burnout syndrome on resilience was observed in all the target population of the study.

To conclude, it can be asserted that the training to obtain a permanent teaching post in Spain raises the levels of burnout syndrome and stress among teacher candidates. In light of the findings, the key role of resilience must be highlighted as it prevents the onset of these states and enhances the academic performance in the state exam.

Bibliographic References

Agyapong, B., Obuobi-Donkor, G., Burback, L., & Wei, Y.F. (2022). Stress, Burnout, Anxiety and Depression among Teachers: A Scoping Review. International Journal of Environmental Research and Public Health, 19(17), 10706. https://doi.org/10.3390/ijerph191710706

Anyan, F., Ingvaldsen, S.H., & Hjemdal, O. (2021). Interpersonal stress, anxiety and depressive symptoms: Results from a moderated mediation analysis with resilience. Ansiedad y Estrés, 26(2-3), 148–154. https://doi.org/10.1016/j.anyes.2020.07.003

Bartell, T., Cho, C., Drake, C., Petchauer, E., & Richmond, G. (2019). Teacher Agency and Resilience in the Age of Neoliberalism. Journal of Teacher Education, 70(4), 302–305. https://doi.org/10.1177/0022487119865216

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238

Calderón, A., Merono, L., & MacPhail, A. (2020). A student-centred digital technology approach: The relationship between intrinsic motivation, learning climate and academic achievement of physical education pre-service teachers. European Physical Education Review, 26(1), 241–262. https://doi.org/10.1177/1356336X19850852

Cohem, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396.

Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155

Connor, K.M., & Davidson, J.R.T. (2003). Development of a new resilience scale: the Connor-Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18(2), 76–82. https://doi.org/10.1002/da.10113

Crespo, M., Fernández-Lansac, V., & Soberón, C. (2014). Spanish version of the Connor-Davidson Resilience Scale (CD-RISC) for chronic stress situations. Behavioral Psychology, 22(2), 219–238.

Daumiller, M., Rinas, R., Hein, J., Janke, S., Dickhauser, O., & Dresel, M. (2021). Shifting from face-to-face to online teaching during COVID-19: The role of university faculty achievement goals for attitudes towards this sudden change, and their relevance for burnout/engagement and student evaluations of teaching quality. Computers in Human Behavior, 118, 106677. https://doi.org/10.1016/j.chb.2020.106677

De la Fuente, J., & Amate, J. (2019). La experiencia desagradable como determinante de las respuestas cognitivas, conductuales y fisiológicas de estrés académico en universitarios opositores. Anales de Psicología, 35(3), 472–483. https://doi.org/10.6018/analesps.35.3.323101

Díaz-Sánchez, C., & Barra-Almaiga, E. (2017). Resiliencia y satisfacción laboral en profesores de colegios municipales y particulares subvencionados de la comuna de Machalí. Estudios Pedagógicos, 43(1), 75–86. https://doi.org/10.4067/S0718-07052017000100005

Freudenberger, H. J. (1989). Burnout: Past, present, and future concerns. Loss, Grief & Care, 3(1-2), 1–10.

González-Valero, G., Gómez-Carmona, C.D., Bastida-Castillo, A., Corral-Pernía, J.A., Zurita-Ortega, F., & Melguizo-Ibáñez, E. (2022). Could the complying with WHO physical activity recommendations improve stress, burnout syndrome, and resilience? A cross-sectional study with physical education teachers. Sport Sciences for Health, 1–10. https://doi.org/10.1007/s11332-022-00981-6

González-Valero, G., Zurita-Ortega, F., San Román-Mata, & Puertas-Molero, P. (2021). Relación de efecto del Síndrome de Burnout y resiliencia con factores implícitos en la profesión docente. Una revisión sistemática. Revista De Educación, (394), 271–296. https://doi.org/10.4438/1988-592X-RE-2021-394-508

Gutentag, T., Horenczyk, G., & Tatar, M. (2017). Teachers’ Approaches Toward Cultural Diversity Predict Diversity-Related Burnout and Self-Efficacy. Journal of Teacher Education, 69(4), 408–419. https://doi.org/10.1177/0022487117714244

Ji, Y.L., Oubibi, M., Chen, S.Y., Yin, Y.X., & Zhou, Y.L. (2022). Pre-service teachers' emotional experience: Characteristics, dynamics and sources amid the teaching prácticum. Frontiers in Psychology, 13, 968513. https://doi.org/10.3389/fpsyg.2022.968513

Khoshhal, K.I., Khairy, G.A., Guraya, S.Y., & Guraya, S.S. (2017). Exam anxiety in the undergraduate medical students of Taibah University. Medical Teacher, 39(22). https://doi.org/10.1080/0142159X.2016.1254749

Liu, Y.G., Pan, H.Y., Yang, R.H., Wang, X.J., Rao, J.W., Zhang, X.S., & Pan, C.C. (2021). The relationship between test anxiety and emotion regulation: the mediating effect of psychological resilience. Annals of General Psychiatry, 20(1), 40. https://doi.org/10.1186/s12991-021-00360-4

Mansfield, C.F., Beltman, S., Broadley, T., & Weatherby-Fell, N. (2016). Building resilience in teacher education: An evidenced informed framework. Teaching and Teacher Education, 54, 77–87. https://doi.org/10.1016/j.tate.2015.11.016

Maslach, C., & Jackson, S.E. (1981). The measurement of experienced burnout. Journal of Organizational Behavior, 2(2), 99–13. https://doi.org/10.1002/job.4030020205

McDonald, R. P., & Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness of fit. Psychological Bulletin, 107(2), 247–255. https://doi.org/10.1037/0033-2909.107.2.247

Melguizo-Ibáñez, E., González-Valero, G., Ubago-Jiménez, J.L., & Puertas-Molero, P. (2022). Resilience, Stress, and Burnout Syndrome According to Study Hours in Spanish Public Education School Teacher Applicants: An Explanatory Model as a Function of Weekly Physical Activity Practice Time. Behavioral Sciences, 12(9), 329. https://doi.org/10.3390/bs12090329

Olson, K., Kemper, K.J., & Mahan, J.D. (2015). What Factors Promote Resilience and Protect Against Burnout in First-Year Pediatric and Medicine-Pediatric Residents? Journal of Evidence-Based Integrative Medicine, 20(3), 192–198. https://doi.org/10.1177/2156587214568894

Orden EDU/3138/2011, de 15 de noviembre, por la que se aprueban los temarios que han de regir en los procedimientos de ingreso, accesos y adquisición de nuevas especialidades de los Cuerpos de Profesores de Enseñanza Secundaria y Profesores Técnicos de Formación Profesional. Boletín Oficial del Estado, 278, de 18 de noviembre de 2011. https://www.boe.es/boe/dias/2011/11/18/pdfs/BOE-A-2011-18099.pdf

Paechter, M., Phan-Lesti, H., Ertl, B., Macher, D., Malkoc, S., & Papousek, I. (2022). Learning in Adverse Circumstances: Impaired by Learning With Anxiety, Maladaptive Cognitions, and Emotions, but Supported by Self-Concept and Motivation. Frontiers in Psychology, 13, 850578. https://doi.org/10.3389/fpsyg.2022.850578

Parker, L., Xu, S., & Chi, C. (2022). Chinese Preservice Teachers’ Perspectives of Mentoring Relationships in an International Learning Partnership. Journal of Teacher Education, 73(5), 525–537. https://doi.org/10.1177/00224871221108655

Raducu, C.M., & Stanculescu, E. (2022). Teachers' Burnout Risk During the COVID-19 Pandemic: Relationships With Socio-Contextual Stress-A Latent Profile Analysis. Frontiers in Psychiatry, 13, 870098. https://doi.org/10.3389/fpsyt.2022.870098

Real Decreto 270/2022, de 12 de abril, por el que se modifica el Reglamento de ingreso, accesos y adquisición de nuevas especialidades en los cuerpos docentes a que se refiere la Ley Orgánica 2/2006, de 3 de mayo, de Educación, y se regula el régimen transitorio de ingreso a que se refiere la disposición transitoria decimoséptima de la citada ley, aprobado por Real Decreto 276/2007, de 23 de febrero. Boletín Oficial del Estado, 88, de 13 de abril de 2022. https://www.boe.es/eli/es/rd/2022/04/12/270

Remor, E. (2006). Psychometric Properties of a European Spanish Version of the Perceived Stress Scale (PSS). The Spanish Journal of Psychology, 9(1), 86–93. https://doi.org/10.1017/S1138741600006004

Resolución de 25 de marzo de 2022, de la Subsecretaría, por la que se convoca procedimiento selectivo de ingreso, por el sistema general de acceso libre y reserva por discapacidad al Cuerpo de Maestros para plazas del ámbito de gestión territorial del Ministerio de Educación y Formación Profesional. Boletín Oficial del Estado, 76, de 30 de marzo de 2022. https://www.boe.es/boe/dias/2022/03/30/pdfs/BOE-A-2022-5032.pdf

Seisdedos, N. (1997). MBI Inventario Burnout de Maslach: Manual. TEA

Selye, H. (1975). Stress and distress. Comprehensive Therapy, 1(8), 9–13.

Suárez-Riveiro, J.M., Rubio-Sánchez, V., Antúnez-Horcajo, R., & Fernández-Suárez, A.P. (2013). Metas y Compromiso de los opositores al cuerpo de maestros en la especialidad de Educación Primaria. Revista de Investigación Educativa, 31(1), 77–92. https://doi.org/10.6018/rie.31.1.139661

Tenenbaum, G., & Eklund, R. (2007). Handbook of Sport Psychology. Wiley & Sons.

Tikkanen, L., Haverinen, K., Pyhalto, K., Pietarinen, J., & Soini, T. (2022). Differences in Teacher Burnout Between Schools: Exploring the Effect of Proactive Strategies on Burnout Trajectories. Frontiers in Education, 7, 858896. https://doi.org/10.3389/feduc.2022.858896

Trigueros, R., Padilla, A.M., Aguilar-Parra, J.M., Rocamora, P., Morales-Gázquez, M.J., & López-Liria, R. (2020). The Influence of Emotional Intelligence on Resilience, Test Anxiety, Academic Stress and the Mediterranean Diet. A Study with University Students. International Journal of Environmental Research and Public Health, 17(6), 2071. https://doi.org/10.3390/ijerph17062071

Ursu, A., & Mairean, C. (2022). Cognitive Emotion Regulation Strategies as Mediators between Resilience and Stress during COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 19(19), 12631. https://doi.org/10.3390/ijerph191912631

Yu, T., Li, J.Y., He, L.D., & Pan, X.F. (2022). How Work Stress Impacts Emotional Outcomes of Chinese College Teachers: The Moderated Mediating Effect of Stress Mindset and Resilience. International Journal of Environmental Research and Public Health, 19(17), 10932. https://doi.org/10.3390/ijerph191710932

Yuan, R. (2017). Exploring pre-service school counselling teachers' learning needs: perceptions of teacher educators andstudent-teachers. Journal of Education for Teaching, 43(4), 474–490. https://doi.org/10.1080/02607476.2017.1342049

Zandi, H., Amirinejhad, A., Azizifar, A., Aibod, S., Veisani, Y., & Mohamadian, F. (2021). The effectiveness of mindfulness training on coping with stress, exam anxiety, and happiness to promote health. Journal of Education and Health Promotion, 10(1), 177. https://doi.org/10.4103/jehp.jehp_616_20

Zhang, M., Bai, Y., & Li, Z.Z. (2020). Effect of Resilience on the Mental Health of Special Education Teachers: Moderating Effect of Teaching Barriers. Psychology Research and Behavior Management, 13, 537–544. https://doi.org/10.2147/PRBM.S257842

Zhao, W.G., Liao, X.R., Li, Q.T., Jiang, W.N., & Ding, W. (2022). The Relationship Between Teacher Job Stress and Burnout: A Moderated Mediation Model. Frontiers in Psychology, 12, 784243. https://doi.org/10.3389/fpsyg.2021.784243

Zhen, B.H., Yao, B.X., & Zhou, X. (2022). Acute stress disorder and job burnout in primary and secondary school teachers during the COVID-19 pandemic: The moderating effect of sense of control. Current Psychology. https://doi.org/10.1007/s12144-022-03134-7

Zheng, S., Liu, H.R., & Yao, M.L. (2022). Linking young teachers/self-efficacy and responsibility with their well-being: the mediating role of teaching emotions. Current Psychology. https://doi.org/10.1007/s12144-022-03342-1

Contact address: Gabriel González Valero. Universidad de Granada. Facultad de Ciencias de la Educación. Departamento de Didáctica de la Expresión Musical, Plástica y Corporal. Prof. Vicente Callao - Fte Ciencias Educación, 18011, 18011, Granada, Spain. E-mail: ggvalero@ugr.es