Mi SciELO
Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
Anales de Psicología
versión On-line ISSN 1695-2294versión impresa ISSN 0212-9728
Anal. Psicol. vol.33 no.3 Murcia oct. 2017
https://dx.doi.org/10.6018/analesps.33.3.238571
Measurement of Psychological Capital in Spanish workers: OREA questionnaire
Evaluación del Capital Psicológico en trabajadores españoles: diseño y estructura empírica del cuestionario OREA
Mariano Meseguer-de Pedro, María Isabel Soler-Sánchez, María-Magdalena Fernández-Valera and Mariano García-Izquierdo
Facultad de Psicología de la Universidad de Murcia (Spain).
Thanks to the Consejería de Industria, Turismo, Empresa e Innovación (Regional Ministry of Industry, Tourism, Enterprise, and Innovation) of the Region of Murcia Autonomous Region (CARM, due to the name in Spanish), which supported this research through the Fundación Séneca (Seneca Foundation), Agencia de Ciencia y Tecnología de la Región de Murcia (Science and Technology Agency of the Region of Murcia), by means of a fund from the Programa Séneca "Contratos Predoctorales de Formación del Personal Investigado" (Seneca Program 'Under PhD training contracts for the Research Staff).
ABSTRACT
Psychological capital is a higher order construct made up of optimism, resilience, hope, and self-efficacy, which has a strong connection with different organizational variables. The aim of this study was to design a measure for assessing psychological capital in the workplace. Two samples of workers were used (N=238; N=338) belonging to Spanish companies from different socioeconomic sectors. Using the results of the first sample, and by means of an exploratory factorial analysis, a scale of 12 items was created. The 12 items included four triplets, each of which matches with one of the elements of psychological capital. The scale was called OREA (due to the names of these concepts in Spanish: Optimismo, Resiliencia, Esperanza, and Autoeficada - Optimism, Resilience, Hope, and Self-efficacy). This measure was then applied to the second sample, and a structural equation analysis was made in order to contrast a one-factor model with a four-factor model. The latter showed very adequate adjustment values (GFI= .943; CFI= .936; RMSEA= .07). We therefore conclude that the OREA questionnaire is a consistent measure of psychological capital in connection with the theoretical model, and it has sufficient evidence of reliability and validity.
Key words: psychological capital; employees; organisations; positive psychology.
RESUMEN
El capital psicológico es un constructo de orden superior formado por cuatro componentes (optimismo, resiliencia, esperanza y autoeficacia) que comprende el desarrollo de aquellas habilidades que tienen un impacto directo en el resultado de distintas variables organizativas. El objetivo de este estudio es el diseño de un cuestionario para evaluar el capital psicológico en el ambito laboral. Se utilizaron dos muestras de trabajadores (N= 238; N= 338) pertenecientes a empresas de distintos sectores socioeconómicos de la Región de Murcia. Con los resultados de la primera muestra y mediante un análisis factorial exploratorio se confeccionó un cuestionario de 12 items, tres por cada una de las facetas del capital psicológico, que se denomino OREA (optimismo, resiliencia, esperanza y autoeficacia). A continuación, se aplicó el cuestionario a la segunda muestra y se realizó un anáalisis de ecuaciones estructurales, en el que el modelo de cuatro factores presentó valores de ajuste muy adecuados (GFI= .943; CFI= .936; RMSEA= .07). Se concluye que el cuestionario OREA presenta una estructura empirica acorde con el modelo teórico, y niveles de fiabilidad y validez adecuados.
Palabras clave: capital psicológico; trabajadores; organizaciones; psicología positiva.
Introduction
Nowadays, the concept of psychological capital is receiving a lot of attention in research and professional practice. This consideration is determined both by the competitive advantage it offers for organizations, because it is related to positive attitudes and behaviours in workers, and because it represents a personal resource open to change and development (Avey, Reichard, Luthans & Mhatre, 2011; Luthans, Avey, Avolio & Peterson, 2010). Moreover, uncertainties and continuous changes in the labour market require workers to have psychological resources that increase their personal and professional efficacy, and allow themselves to confront organisational demands.
Psychological capital is a positive psychological state characterised by being self-efficient or having the selfconfidence to deal with challenges and difficult tasks, being optimistic or giving positive attributions to current successes/failures, having hope or visualising and preserving aims and goals, and being resilient or able to self-regenerate after facing adversity (Luthans, Youssef & Avolio, 2007).
Research on psychological capital has indicated that selfefficacy, resilience, optimism, and hope have an underlying common link, transforming into a construct of higher order. This means that these elements together have a greater effect on diverse organizational variables than each element individually (Avey, Luthans, Smith & Palmer, 2010; Luthans et al., 2007; Luthans et al., 2010).
One of the most important characteristics of psychological capital is the fact that it is made up by 'state-like' variables, that is, they are susceptible to development by means of formative interventions. This converts psychological capital into a resource able to influence both workers and their organisations in a positive way (Luthans, Youssef-Morgan & Avolio, 2015).
The first element, self-efficacy, is defined as 'the belief in one's own abilities to organise and execute the courses of action needed to produce certain achievements or outcomes' (Bandura, 1997, p. 3). This is the element of psychological capital with greater theoretical and empirical foundations; it is not in vain that it is the centrepiece of Bandura's cognitive social theory. Self-efficacy acts as a key element in the perception of human competence and determines to a large extent the choice of activities, motivation, effort, and persistence when facing difficulties (Moriano, Topa, Molero, Entenza & Lèvy-Mangini, 2012). Thus, it is reasonable to think that high expectations of self-efficacy may help in dealing with possible stressors, therefore enabling a better state of perceived health.
Regarding optimism, Seligman (1998) pointed out that this is an ability that enables someone to make inner and stable attributions on positive events -i.e. a job promotion- and outer temporary attributions that factor in situational factors on negative events -i.e. job loss. Therefore, optimistic people are those who expect more good than bad things to happen to them, while pessimistic people expect more bad than good things to happen to them (Carver & Scheier, 2002). Optimism has been connected to adequate job performance (Green, Medlin & Withen, 2004), efficacy (Luthans, Avolio, Walumbwa & Li, 2005; Seligman, 1998), perception of a better quality of life and organisational atmosphere (Grau, Suñer & García, 2005), and the use of adequate coping strategies in the face of work stress (Morán & Schulz, 2008).
Resilience is a dynamic process involving people's positive adaptation to significantly adverse situations (Luthar, Cicchetti & Becker, 2000). It is a universal phenomenon characterised by adaptive behavioural patterns in response to risk and opposing contexts (Masten, 2001). Some studies have found positive connections between resilience and organisational commitment (Luthans, Norman, Avolio & Avey, 2008), productivity (Luthans, et al., 2010), and satisfaction in life and work (Youssef & Luthans, 2007).
Finally, hope refers to 'a motivational positive state based on a sense interactively derived from agency (energy aimed to goals) and successful trajectories (planning to achieve goals)' (Snyder et al., 1991, p. 287). Hope has been connected to academic achievement, sporting successes, and capacity to recover from disease (Curry, Snyder, Cook, Ruby & Rehm, 1997; Onwuegbuzie & Snyder, 2000), as well as a satisfactory job performance (Morrow, 2006; Peterson & Byron, 2008).
Several studies have shown positive and negative connections between psychological capital and different work and organisational variables such as job satisfaction (Badran & Youssef-Morgan, 2015; Karatepe & Karadas, 2015; Luthans et al., 2007), organisational commitment (Larson & Luthans, 2006), engagement (Avey, Hughes, Norman & Luthans, 2008), efficacy (Avey et al., 2011), intention to leave the organisation (Avey, Luthans & Jensen, 2009; Schulz, Luthans & Messersmith, 2014), burnout (Cheung, Tang & Tang, 2011; Ding et al., 2015), and health and welfare in workers (Avey, Wernsing & Mhatre, 2011; Krasikova, Lester & Harms, 2015).
The consideration of psychological capital as a construct of higher order led Luthans, Avolio, Avey and Norman (2007) to create the Psychological Capital Questionnaire (PCQ). This measure emerged from widely known scales of each of the elements of psychological capital: they used the State Hope Scale (Snyder et al., 1996) for hope, the Resilience Scale (Wagnild & Young, 1993) for resilience, the Life Orientation Test (Scheier & Carver, 1985) for optimism, and the Role Breadth Self-efficacy (Parker, 1998) for self efficacy.
The PCQ has been the subject of validation studies in different countries, and it has generally been shown to have good psychometric properties (Cheung et al., 2011; Clapp-Smith, Vogelgesang & Avey, 2009; Görgens-Ekermans & Herbert, 2013; Luthans et al., 2005; Nigah, Davis & Hurrell, 2012; Rego, Sousa, Marques & Pinha, 2012; Wang, Liu, Wang & Wang, 2012).
Azanza, Dominguez, Moriano and Molero (2014) wrote the Spanish adaptation of the PCQ, validating it in a sample of 372 workers. They concluded that the results of this version presented a high reliability, and an adequate convergent and discriminant validity. However, the sample used in this study was unusual as 74.4 % of the participants had university degrees, and 70.3 % held managerial or directing positions. Furthermore, if the content of PCQ's items is examined, it can be verified that they are remote from the average worker's reality, as they do not correspond to the activities and tasks that most workers undertake in their workplaces. It presents difficulties because some items will not be representative of workers at any hierarchical level, such as 'I trust myself when representing my department in meetings with the management board', or 'I feel confident when introducing new information to a peer group', or 'I trust in contributing to the discussions about the organisation strategy'.
In order to analyse the discriminant validity, job satisfaction, psychological health and psychosomatic symptoms, which have evident theoretical interest due to their connections with psychological capital, were included. Luthans et al., (2007) have pointed out that psychological capital explains variability in levels of job satisfaction as a construct of second order in a manner that is clearer than every one of its elements individually. Larson and Luthans (2006) have shown that psychological capital has a greater impact in job satisfaction than social or human capital. Karatepe and Karadas (2015) have highlighted that workers with higher marks in psychological capital are more satisfied with their jobs, professional paths, and lives. Regarding the links between psychological capital and health, Avey et al., (2010) conducted a longitudinal study with a sample of 280 employees, and showed that psychological capital is positively and significantly connected to two different measures of welfare. In a similar way, Avey et al. (2011) found connections between psychological capital and welfare, and that these are mediated by stress and emotions. Finally, Krasikova et al., (2015) conducted a study with 1889 professional soldiers from the US army, and their results showed that, before a military deployment, soldiers with high levels of psychological capital were less likely to be diagnosed with mental illnesses upon their return.
Given the above situation, the main objective of this study was to create a measure of psychological capital adapted to the Spanish population that is based on the most relevant measurement scales in each of the four elements and that may be useful with any kind of worker.
Method
Participants
Two samples were used, made up of workers in Spanish companies from different socioeconomic sectors and occupations. Sample 1 consisted of 238 workers, of whom 124 (52.1 %) were men and 113 (47.5 %) were women, with an average age of 36.33 years old (SD=11.86, range= 17-63 years old), and an average length of professional experience of 10.22 years (SD=11.15, range= 1 month to 45 years). In terms of educational achievements, 31 % had only finished primary school, 28.4 % had gone to university, 22.9 % had studied a vocational training, and 17.7 % had finished secondary school. Regarding job post, 48.5 % held basic posts (operators and administrative staff), 40.3 % were technicians, and 11.2 % were managers. Concerning the type of contract, 53.2 % had permanent contracts and the rest of them were temporary employees.
Sample 2 was composed of 338 workers of whom 53.1 % (165) were men, and 46.9 % (146) were women, with an average age of 38.35 years old (SD= 12.11, range= 18-62 years old), and with an average length of professional experience of 10.9 years (SD= 9.99, range= 1 month to 41 years). In terms of educational achievements, 31 % had university studies, 31 % had finished primary school, 20 % had studied a vocational training and 18 % had finished secondary school. Concerning the job post, 53.1 % held basic posts (operators and administrative staff), 33.9 % were technicians, and 13 % were managers. Finally, regarding the type of contract, 75.1 % had permanent contracts.
Instruments
The following measures were used to create the psychological capital questionnaire. The General Selfefficacy Scale by Schwarzer and Baessler (1996), was used for self-efficacy, making use of the Spanish version by Sanjuan, Pérez and Moreno (2000). It assesses the stable feeling of personal competence to handle a wide range of situations in an effective way. The scale has ten items (e.g. item 7: 'come what may, I am usually able to handle it'). Optimism was assessed with the LOT-R Scale (Life Orientation Test-Revised) by Scheier, Carver and Bridges, (1994) making use of the Spanish version by Otero, Luengo, Romero, Gómez and Castro (1998). This scale consists of ten items, three of which measure optimism, another three pessimism, and the last four are neutral 'padding'. In this case, we just used the three optimism items (e.g. item 4: 'In hard times, I usually expect the best'). Resilience was estimated by means of the ten item CD-RISC scale (Connor-Davidson Resilience Scale) by Connor and Davidson (2003), adapted for Spanish by Notario-Pacheco et al, (2011). In this questionnaire participants are asked to answer to what extent they agree with each of the ten sentences presented to them (e.g. item 6: 'I achieve my goals despite difficulties'). Finally, a shortened HHI scale (Herth Hope Index) by Herth (1992), making use of the Spanish adaptation by Meseguer, Fernández and Soler (2013), was used for hope. This scale asks participants to answer each of the ten statements presented to them (e.g. item 2: 'I can see solutions at the centre of difficulties'). All the measures had the same format for responses: a four-point Likert scale from 1 (totally disagree) to 4 (completely agree).
In order to analyse the validity of the designed scale, job satisfaction and two measures of health were also assessed. Job satisfaction was assessed by means of the Overall Job Satisfaction scale by Warr, Cook and Wall (1979), adapted by Pérez and Fidalgo (1995), that scores satisfaction in different aspects of job. It consists of 15 items (e.g. item 10: 'Recognition obtained for a job well done') with seven response options, from 1, 'Very unsatisfied', to 7, 'Very satisfied'.
As measures of health, the following scales were used: the GHQ-12 (General Health Questionnaire) by Goldberg and Williams (2000), applying the Spanish adaptation by López and Dresch (2008), and the CCP (Psychosomatic Symptoms Questionnaire) by Hock (1988), using the Spanish version made by García-Izquierdo, Castellón, Albadalejo and García-Izquierdo (1993). The GHQ-12 consists of 12 items about health and welfare issues suffered over recent weeks (e.g. item 5: 'Have you felt constantly weighed down and tense?'). Assessment was made using a four-point Likert scale from 1, 'Absolutely not', to 4, 'Much more than usual'. It is necessary to take into account that high marks indicate a worse level of health. The CCP ask participants to answer how often during the last three months they have suffered any of the symptoms described in the 12 items (e.g. item 1: 'Inability to get to sleep'), with 5 possibilities of response ranging from 1, 'Never', to 5, 'Very often'.
Procedure
The surveys were completed in the workplace. Participants were given written notice about the scientific objectives of the study and the corresponding instructions. Besides the different scales described above, questions about sociodemographic and labour variables were included. Materials were handed out by members of the research team, and once the tasks were finished, each participant put the questionnaires inside a white envelope, that was collected. All participants took part voluntarily, and anonymity and confidentiality were guaranteed. Data collection from sample 1 was made from January to March 2014. In this sample, 300 questionnaires were delivered and 238 were correctly filled and given back (giving a response rate of 79 %). Data from sample 2 were collected with the same procedure from January to March 2015, this time in a different set of companies from those included in sample 1. In this case, 400 questionnaires were delivered, and 370 were given back, of which 32 were discarded (giving a response rate was 84.5 %).
Statistical Analysis
In order to construct the measure of psychological capital, two basic criteria were considered: a) the selection of the three most important items from each element of psychological capital in a bid to reduce the number of items, and b) that resulting elements were related to variables associated with this construct such a health and job satisfaction. In order to select the three items per psychological capital dimension, an Exploratory Factorial Analysis (EFA) was carried out with the data from sample 1, following a main axes extraction method and oblimin rotation with the software FACTOR 7.2 (Lorenzo-Seva & Ferrando, 2006).
Participants from sample 2 filled in the new psychological capital scale made up of the 12 selected items (three per dimension), and the results were analysed by means of the EQS 6.1 software, according to the structural equation model with the aim of verifying the validity of the construct. The statistic χ2 was used for goodness of fit, however, other fit indicators were taken into account, such the absolute fit GFI (Goodness of Fit Index) and the relative fit CFI (Comparative Fit Index). As a rule, values over .90 indicate a good fit of the model, especially if they are above .95 (Hu & Bentler, 1999). The RMSEA (Root Mean Square Error of Approximation) index was also used, which demands a value <. 9 to indicate an adequate fit, recommending values of between .8 and .5 (Hu & Bentler, 1999).
Finally, using the software SPSS 21 and the data from sample 2, reliability was analysed by means of the Composite Reliability (CR), which measures the inner consistency of every indicator in connection with the construct they represent and the validity of the scale created. Average Variance Extracted (AVE) was used both for convergent and discriminant validity, with marks equal or over .50 suitably considered to represent the latent factor; it was then compared to the estimations of job satisfaction, health and psychosomatic symptoms. Two criteria were used for convergent validity (Hair, Black, Babin, Anderson & Tatham, 2006): for the first one, the latent variable of each ítem (λ) explains at least the 50 % of the total variance of the factor, and for the second one, the AVE indicates that the items as a whole represent the same construct. Regarding the discriminant validity, the square root of AVE was used. According to the criteria proposed by Fornell and Larcker (1981), the correlation of a construct with its items must be higher than the correlation established between them.
Results
The items were selected in order to measure psychological capital in sample 1. After completing an EFA, the three items of each dimension that had greatest factorial importance with regard to the psychological capital construct were chosen, except for optimism, where the three items that were chosen were the only three that make up the LOT-R scale. The Bartlett sphericity test and the Kaiser-Meyer-Olkin sample suitability test were satisfactory (see Table 1).
Once the 12 items were selected, a new measure called OREA (an acronym of the words for Optimism, Resilience, Hope, and Self-Efficacy in Spanish) was made and provided to the participants in sample 2, with whose data the following statistical analysis was made. First of all, a descriptive study of the OREA scale was conducted. Measures, standard deviations, and the skewness and kurtosis indexes of the items can be observed in Table 2. For latter analysis of structural equations, skewness and kurtosis values have to respect the condition of not being above 3 and 10, respectively, in the index (Kline, 2005), a requirement that was met.
Secondly, two different models of psychological capital were contrasted by means of a structural equation analysis. The first model hypothesised a structure of just one factor, that is that the 12 items make up a single dimension. The second model hypothesised that those items make up a structure of four main factors: optimism, resilience, hope and self-efficacy, plus another general factor of a lower order made up of all of these four items. According to the results, which can be observed in Table 3, the adjustment indexes support the second model.
Reliability was then analysed by means of the CR, the results of which showed adequate indexes (see Table 4). A convergent validity estimate was made using, according to Hair et al. (2006), the following criteria: the latent variable of each item (λ) explains at least the 50 % of the factor total variance, λ is above .60, and t is above 1.96 for p < 05, as is the AVE. All criteria were met, as shown in Table 4.
After this, the discriminant validity was assessed by means of AVE, the results of which were adequate. According to the proposal that psychological capital is a construct of higher order, however, the four elements have to be connected significantly with the selected variables (job satisfaction, general health and psychosomatic symptoms), and, being different constructs, their values must be below .50. For that purpose, a correlation analysis was made. As can be seen in Table 5, all correlations were statistically significant in the expected theoretical sense and below .50.
Discussion
The objective of this work was to design a measure of psychological capital for use in Spanish workers. The PCQ questionnaire, designed by Luthans et al. (2007), is the one most often used to measure psychological capital, however, in terms of content validity, the different PCQ items do not fit all categories of workers.
Based on this motivation, a measure containing the four dimensions of psychological capital was designed, starting from items of the most used scales that have been adapted to the Spanish population, mirroring the methods used by Luthans et al. (2007) in the construction of the PCQ. In this way, a 12 item -three items per dimension- questionnaire was obtained and called the OREA. All reliability and validity indicators have shown favourable evidence.
Correlations between the four elements of psychological capital point out that they are positively and significantly associated with each other, reinforcing the idea of them being part of a single construct. These results are in line with Avey et al. (2011). At the same time, the intensity of these associations enables us to highlight the degree of multicollinearity.
The associations found with the measured variables are significant and they are in the theoretical sense indicated in other studies. Thus, the correlation is positive with job satisfaction (Larson & Luthans, 2006; Luthans et al., 2007; Luthans et al., 2008) and negative both with perceived ill health- indicating that the higher the psychological capital levels are, the better health they enjoy (as according to the measure of health GHQ-12, the higher marks they got, the worse health perception they had) -and psychomatic symptoms, a result also in accordance with the previous findings (Avey et al., 2010; Avey, Wernsing & Mhatre, 2011).
These results, obtained by means of structural equation, suggest that psychological capital is a construct of higher order, as was pointed out by Luthans et al. (2007). The Hobfoll Conservation of Resources Theory (2002) also provides additional support to this statement, as it highlights that individual resources such as, in this case, the elements of psychological capital, must be treated as a part of a global construct rather than separately. Moreover, these psychological resources have proven to have an interactive and synergistic nature (Luthans et al., 2007).
As advised by Luthans (2002), an organisational psychological behaviour such as psychological capital must meet an array of operational criteria: (1) it must be based on theory and research, (2) it must have valid measures, (3) it must use unique concepts (Positive Organizational Behaviour is related to positive constructs that are relatively new in terms of their implementation in the workplace), (4) it must be open to development (this criterion means that the construct must be of state type, that is, situational and open to learning, change, and development, instead of representing a personality trait or dispositional type), (5) it must be administered to improve performance (Positive Organizational Behaviour deals with the workplace and how to implement the positive psychological capacity in order to improve human performance).
OREA, the measure of psychological capital that has been designed here, follows these guidelines and enables us to answer the second point, thus providing an adequate assessment instrument in the line of work focused on positive phenomena in organisations and on individual strengths that can help to foster greater development of the human potential of workers. Likewise, the idea of psychological capital supporting a higher construct of psychological capital and its main dimensions is reinforced, even starting from different measures from those used by Luthans et al. (2007).
Regarding the limitations of the study, firstly, it can be pointed out that the data have been collected by means of self-report. This is a common practice in studies that may lead to a bias in the response of participants, exacerbate common variance and artificially increase correlations between variables (Spector, 2006).
Secondly, both samples are made up of Spanish workers, who have their own cultural features. Therefore, the results obtained cannot be easily extrapolated to other samples in different countries. In accordance with this, Avey et al. (2011) observed that the magnitude of the psychological capital effect upon individual results differs according to the type of profession, and they call for studies to be conducted that are targeted to specific professional collectives.
Thirdly, a cross-sectional and correlational design was used. Although this is common in research, it still presents drawbacks: for example, the impossibility of establishing causal connections. These limitations lead to consideration of the convenience of using more sophisticated designs in future studies (Avey, Luthans & Mhatre, 2008).
In reference to future lines of research, it would be interesting to conduct intercultural or transnational studies in order to verify if the results obtained are similar to those of studies completed in other countries.
Finally, it is also worth pointing out the theoretical and practical implications of the results obtained. From theoretical point of view, the second order structure of psychological capital and its four elements is confirmed, once again. From a practical point of view, there is a measurement scale of psychological capital adapted to any kind of worker with adequate psychometric properties and with little time cost, which should be deeply interesting both for research and professional practice in human resources management. In this respect, it would be interesting to use it in different processes such as staff selection, training and development.
References
1. Avey, J. B., Hughes, L. W., Norman, S. M., and Luthans, K. W. (2008). Using positivity, transformational leadership and empowerment to combat employee negativity. Leadership & Organization Development Journal, 29(2), 110-126. [ Links ]
2. Avey, J. B., Luthans, F., and Jensen, S. M. (2009). Psychological capital: A positive resource for combating employee stress and turnover. Human Resource Management, 48(5), 677-693. [ Links ]
3. Avey, J. B., Luthans, F. and Mhatre, IK H. (2008). A call for longitudinal research in positive organizational behavior. Journal of Organizational Behavior, 29(5), 705-711. doi: 10.1002/job.517. [ Links ]
4. Avey, J. B., Luthans, F., Smith, R. M. and Palmer, N. F. (2010). Impact of positive psychological capital on employee well-being over time. Journal of Occupational Health Psychology, 15(1), 17-28. doi: 10.1037/a0016998. [ Links ]
5. Avey, J. B., Reichard, R. J., Luthans, F. and Mhatre, K. H. (2011). Metaanalysis of the impact of positive psychological capital on employee attitudes, behaviors, and performance. Human Resource Development Quarterly, 22(2), 127-152. doi: 10.1002/hrdq.20070. [ Links ]
6. Avey, J. B., Wernsing, T. S., and Mhatre, K. H. (2011). A longitudinal analysis of positive psychological constructs and emotions on stress, anxiety, and well-being. Journal of Leadership & Organizational Studies, 18(2), 216-223. doi:10.1177 /1548051810397368. [ Links ]
7. Azanza, G., Domínguez, A., Moriano, J. A. y Molero, F. J. (2014). Capital psicológico positivo. Validación del cuestionario PCQ en España (Positive psychological capital. Validation of the Spanish version of the PCQ questionnaire). Anales de Psicología, 30(1), 294-301. doi:10.6018/analesps.30.1.153631. [ Links ]
8. Badran, M. A., and Youssef-Morgan, C. M. (2015). Psychological capital and job satisfaction in Egypt. Journal of Managerial Psychology, 30(3), 354-370. [ Links ]
9. Bandura, A. (1997). Self efficacy: The exercise of control. New York, NY: Freeman. [ Links ]
10. Carver, C. S. and Scheier, M. F. (2002). The hopeful optimist. Psychological Inquiry, 13(4), 288-290. [ Links ]
11. Clapp-Smith, R., Vogelgesang, G. R. and Avey, J. B. (2009). Authentic leadership and positive psychological capital the mediating role of trust at the group level of analysis. Journal of Leadership & Organisational Studies, 15(3), 227-240. doi:10.1177/1548051808326596. [ Links ]
12. Cheung, F., Tang, C. S. K. and Tang, S. (2011). Psychological capital as a moderator between emotional labor, burnout, and job satisfaction among school teachers in China. International Journal of Stress Management, 18(4), 348-371. doi:10.1037/a0025787. [ Links ]
13. Connor, K. M. and Davidson, J. R. (2003). Development of a new resilience scale: The Connor-Davidson resilience scale (CD-RISC). Depression and Anxiety, 18(2), 76-82. doi:10.1002/da.10113. [ Links ]
14. Curry, L. A., Snyder, C. R., Cook, D. L., Ruby, B. C. and Rehm, M. (1997). Role of hope in academic and sport achievement. Journal of Personality and Social Psychology, 73(6), 1257-1267. doi:10.1037/0022-3514.73.6.1257. [ Links ]
15. Ding, Y., Yang, Y., Yang, X., Zhang, T., Qiu, X., He, X., ... and Sui, H. (2015). The mediating role of coping style in the relationship between psychological capital and burnout among Chinese Nurses. PloS One, 10(4), e0122128. [ Links ]
16. Fornell, C. and Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. doi:10.2307/3150980. [ Links ]
17. García-Izquierdo, M., Castellón, M. C., Albadalejo, B. M. y García-Izquierdo, A. L. (1993). Relaciones entre Burnout, ambigüedad de rol y satisfacción laboral en el personal de Banca (Relationship between Burnout, role ambiguity and job satisfaction in banking staff). Journal of Work and Organisational Psychology, 9(24), 17-26. [ Links ]
18. Grau, A., Suñer, R. y García, M. M. (2005). El optimismo de los profesionales sanitarios y su relación con la calidad de vida, el burnout y el clima organizacional (Optimism in health workers and its relationship with quality of life, burnout syndrome, and organizational environment). Revista de Calidad Asistencial, 20(7), 370-376. [ Links ]
19. Green, K. W., Medlin, B. and Whitten, D. (2004). Developing optimism to improve performance: an approach for the manufacturing sector. Industrial Management & Data Systems, 104(2), 106-114. doi:10.1108/0263557041052207. [ Links ]
20. Goldberg, D. and Williams, P. (2000). General health questionnaire (GHQ). Swindon, Wiltshire, UK: NFER Nelson. [ Links ]
21. Görgens-Ekermans, G. and Herbert, M. (2013). Psychological capital: Internal and external validity of the Psychological Capital Questionnaire (PCQ-24) on a South African sample. SA Journal of Industrial Psychology, 39(2), 1-12. doi: 10.4102/sajip.v39i2.1131. [ Links ]
22. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. and Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). Upper Saddle River, NJ: Pearson Prentice Hall. [ Links ]
23. Herth, K (1992). Abbreviated instrument to measure hope: development and psychometric evaluation. Journal of Advanced Nursing, 17(10), 1251-1259. doi:10.1111/j.1365-2648.1992.tb01843.x. [ Links ]
24. Hobfoll, S. E. (2002). Social and psychological resources and adaptation. Review of General Psychology, 6(4), 307-324. doi: 10.1037/1089-2680.6.4.307. [ Links ]
25. Hock, R. R. (1988). Professional burnout among public school teachers. Public Personnel Management, 17(2), 167-189. doi: 10.1177/009102608801700207. [ Links ]
26. Hu, L. T. and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, a multidisciplinary journal, 6(1), 1-55. doi:1080/10705519909540118. [ Links ]
27. Karatepe, O. M., and Karadas, G. (2015). Do psychological capital and work engagement foster frontline employees' satisfaction? A study in the hotel industry. International Journal of Contemporary Hospitality Management, 27(6), 1254-1278. [ Links ]
28. Kline,TJ. (2005). Psychological testing A practical approach to design and evaluation. Thousand Oaks, CA: Sage Publications. [ Links ]
29. Krasikova, D. V., Lester, P. B., and Harms, P. D. (2015). Effects of psychological capital on mental health and substance abuse. Journal of Leadership & Organisational Studies, 22(3), 280-291. [ Links ]
30. López, M. P. S. and Dresch, V. (2008). The 12-Item General Health Questionnaire (GHQ-12): reliability, external validity and factor structure in the Spanish population. Psicothema, 20(4), 839-843. [ Links ]
31. Larson, M. and Luthans, F. (2006). Potential Added Value of Psychological Capital In Predicting Work Attitudes. Journal of Leadership & Organizational Studies, 13(2), 75-92. doi:10.1177/10717919070130020601. [ Links ]
32. Lorenzo-Seva, U. and Ferrando, P. J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, 38(1), 88-91. doi:10.3758/BF03192753. [ Links ]
33. Luthans, F. (2002). The need for and meaning of positive organizational behavior. Journal of Organizational Behavior, 23(6), 695-706. doi:10.1002/job.165. [ Links ]
34. Luthans, F., Avey, J. B., Avolio, B. J. and Peterson, S. J. (2010). The development and resulting performance impact of positive psychological capital. Human Resource Development Quarterly, 21(1), 41-67. doi:10.1002/hrdq.20034. [ Links ]
35. Luthans, F., Avolio, B. J., Avey, J. B. and Norman, S. M. (2007). Positive psychological capital: Measurement and relationship with performance and satisfaction. Personnel Psychology, 60(3), 541-572. doi: 10.1111/j.1744-6570.2007.00083.x. [ Links ]
36. Luthans, F., Avolio, B. J., Walumbwa, F. O.and Li, W. (2005). The psychological capital of Chinese workers: Exploring the relationship with performance. Management and Organization Review, 1(2), 249-271. doi:10.1111/j.1740-8784.2005.00011.x. [ Links ]
37. Luthans, F., Norman, S. M., Avolio, B. J. and Avey, J. B. (2008). The mediating role of psychological capital in the supportive organizational climate-employee performance relationship. Journal of Organizational Behavior, 29(2), 219-238. doi:10.1002/job.507. [ Links ]
38. Luthans, F., Youssef, C. M. and Avolio, B. J. (2007). Psychological capital: Developing the human competitive edge. Oxford, New York: Oxford University Press. [ Links ]
39. Luthans, F., Youssef-Morgan, C. M. and Avolio, B. J. (2015). Psychological capital and beyond. Oxford University Press. [ Links ]
40. Luthar, S. S., Cicchetti, D. and Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child development, 71(3), 543-562. doi:10.1111/1467-8624.00164. [ Links ]
41. Masten, A. S. (2001). Ordinary magic: Resilience processes in development. American Psychologist, 56(3), 227. [ Links ]
42. Meseguer, M., Fernández, M. M. y Soler, M. I. (2013). Propiedades Psicométricas de la escala abreviada de Esperanza de Herth (HHI) en una muestra multiocupacional de la Región de Murcia (Psychometric properties of Herth's short scale (HHI) in a multioccupational sample from Murcia). Comunicación presentada al I Congreso de Centros Universitarios de Relaciones Laborales y Ciencias del Trabajo, Valencia, España. [ Links ]
43. Morán, C. A. y Schulz, R. (2008). Influencia del optimismo y del afrontamiento en el bienestar laboral (Influence of optimism and coping in the labor well-being). Capital Humano: revista para la integración y desarrollo de los recursos humanos, 21(225), 86-93. [ Links ]
44. Moriano, J. A., Topa, G., Molero, F., Entenza, A. M., y Lévy-Mangin, J. P. (2012). Autoeficacia para el liderazgo emprendedor. Adaptación y validación de la escala CESE en España. Anales de Psicología, 28(1), 171-179. [ Links ]
45. Morrow, R. (2006). Hope, entrepreneurship and foresight. Regional frontiers of entrepreneurship research: Compilation of papers of the third AGSE international entrepreneurship research exchange (CD). Melbourne: Swinburne University. [ Links ]
46. Nigah, N., Davis, A. J. & Hurrell, S. A. (2012). The impact of buddying on psychological capital and work engagement: an empirical study of socialization in the professional services sector. Thunderbird International Business Review, 54(6), 891-905. doi:10.1002/tie.21510. [ Links ]
47. Notario-Pacheco, B., Solera, M., Serrano, M.D., Bartolomé, R., García-Campayo, J. and Martínez-Vizcaíno, V. (2011). Reliability and validity of the Spanish versión of the 10 item Connor-Davidson Resilience Scale (10 item CDRISC) in young adults. Health Quality Life Outcomes, 9, 63-81. doi: 10.1186/1477-7525-9-63. [ Links ]
48. Onwuegbuzie, A. J., and Snyder, C. R. (2000). Relations between hope and graduate students' coping strategies for studying and examination-taking. Psychological Reports, 86(3), 803-806. [ Links ]
49. Otero, J.M., Luengo, A., Romero, E., Gómez-Fraguela, J.A. y Castro, C. (1998). Psicología de la Personalidad. Manual de prácticas (Psychology of Personality. Practice Manual). Barcelona, España: Ariel Practicum. [ Links ]
50. Parker, S. (1998). Enhancing role breadth self-efficacy: The roles of job enrichment and other organizational interventions. Journal of Applied Psychology, 6, 835-852. [ Links ]
51. Pérez, J. y Fidalgo, M. (1995). NTP 394: Satisfacción laboral: escala general de satisfacción. Madrid: Instituto Nacional de Seguridad e Higiene en el Trabajo. [ Links ]
52. Peterson, S. J. and Byron, K. (2008). Exploring the role of hope in job performance: Results from four studies. Journal of Organizational Behavior, 29(6), 785-803. doi:10.1002/job.492. [ Links ]
53. Rego, A., Sousa, F., Marques, C. and Cunha, M. P. (2012). Authentic leadership promoting employees' psychological capital and creativity. Journal of Business Research, 65(3), 429-437. doi:10.1016/j.jbusres.2011.10.003. [ Links ]
54. Sanjuan, P. S., Pérez , A. M. G. y Moreno, J. B. (2000). Escala de autoeficacia general: datos psicométricos de la adaptación para población española (General self-efficacy scale: psychometric adaptation for Spanish population data). Psicothema, 12, 509-513. [ Links ]
55. Scheier, M. F. and Carver, C. S. (1985). Optimism, coping, and health: assessment and implications of generalized outcome expectancies. Health Psychology, 4(3), 219-247. doi:10.1037/0278-6133.4.3.219. [ Links ]
56. Scheier, M. F., Carver, C. S. and Bridges, M. W. (1994). Distinguishing optimism from neuroticism (and trait anxiety, self-mastery, and self-esteem): a reevaluation of the Life Orientation Test. Journal of Personality and Social Psychology, 67(6), 1063-1078. doi:10.1037/0022-3514.67.6.1063. [ Links ]
57. Schulz, S. A, Luthans, K.W., and Messersmith, J. G. (2014). Psychological capital: A new tool for driver retention. International Journal of Physical Distribution & Logistics Management, 44(8/9), 621-634. [ Links ]
58. Schwarzer, R. y Baessler, J. (1996). Evaluación de la autoeficacia: adaptación española de la Escala de Autoeficacia General (Evaluation of efficacy: Spanish adaptation of the General Self-Efficacy Scale). Ansiedad y Estrés, 2(1), 1-8. [ Links ]
59. Seligman, M. E. (1998). Aprenda optimismo: Haga de la vida una experiencia maravillosa. (Learned Optimism: How to change your life and your mind). Barcelona, España: Grijalbo. [ Links ]
60. Snyder, C. R., Harris, C., Anderson, J. R., Holleran, S. A., Irving, L. M. and Sigmon, S. T., (1991). The will and the ways: development and validation of an individual-differences measure of hope. Journal of Personality and Social Psychology, 60, 570-585. doi:10.1037/0022-3514.60.4.570. [ Links ]
61. Spector, P. E. (2006). Method variance in organizational research truth or urban legend? Organizational Research Methods, 9(2), 221-232. doi:10.1177/1094428105284955. [ Links ]
62. Wagnild, G. and Young, H. (1993). Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, 1, 165-178. [ Links ]
63. Wang, Y., Liu, L., Wang, J. and Wang, L. (2012). Work-family conflict and burnout among Chinese doctors: the mediating role of psychological capital. Journal of Occupational Health, 54(3), 232-240. doi:10.1539/joh.11-0243-OA. [ Links ]
64. Warr, P., Cook, J. and Wall, T. (1979). Scales for the measurement of some work attitudes and aspects of psychological well-being. Journal of Occupational Psychology, 52(2), 129-148. [ Links ]
65. Youssef, C. M. and Luthans, F. (2007). Positive organizational behavior in the workplace the impact of hope, optimism, and resilience. Journal of Management, 33(5), 774-800. doi:10.1177/0149206307305562. [ Links ]
Correspondence:
Facultad de Psicología.
Campus Universitario de Espinardo.
30100 Espinardo, Murcia (Spain).
E-mail: marianom@um.es
Article received: 21 -06-2016
revised: 02-12-2016
accepted: 25-01 -2017