The Effect of Psychological Capital on Motivation for Individual Instrument: A Study on University Students

This study aims to investigate the effect of psychological capital of undergraduate students on the motivation for individual instrument. In the study, survey method was used as data collection method. The sample of the research consisted of 214 students attending Gazi University and Hacı Bayram Veli University located in Ankara. SPSS and AMOS software programs were employed to analyze data. Confirmatory factor analysis was performed for the validity of the scale, and Cronbach Alpha was computed to test the reliability. In the study, descriptive statistics were displayed, and independent sample t-test as well as one-way analysis of variance (ANOVA) was used to identify the differences according to university, gender, and class. Structural equation model was established to test the hypothesis. Regression analysis indicates that resilience significantly and positively affects motivation for achievement.


Introduction
Motivation is impulsive force that directs the individual to personal goals by internal motives in compliance with personal demands and needs [1]. Likewise, motivation is cognitive power or internal energy that supports the self to achieve the goals [2]. Or motivation is a driving force to initiate and sustain an action. On the other hand, amotivation is lacking intention to move [3]. In other words, it is the lack of motivation. Then amotivation is not benefiting from an action or not feeling self-efficacy to do the action.
An individual, therefore, focuses on the action, behaves as planned, and easily finds solutions to problems when motivated. To this end, it is not wrong to say that individual is expected to create intrinsic motivation to initiate an action. In other words, it is not true to await being motivated by others.
The state defined above is also valid through education years. Students having intrinsic motivation feel satisfied when they study. It is of great significance that the students have intrinsic motivation and does whatever they do with great satisfaction. On the other hand, some may not have motivation for study. Concerning the students with lower intrinsic motivation, teachers may develop themselves to employ some strategies to motivate the students having extrinsic motivation.
Considering students, motivation is the starting point for a student to learn a lesson, an incentive to move, and contributes them to finalize whatever they started doing during the study years [4]. Because instrument playing education takes long hours and requires high physical performance as well as psychological performance, having the will to act is one of main factors to develop performance skills in playing an instrument as a part of music education.
It may be contended that every process contributing to achieve personal goals requires motivation-either intrinsic or extrinsic. To this end, we may advocate that intrinsic motivation is nontrivial for the students during their university years. Thus, it is critical to study the determinants of motivation of students related to their study areas. That's why this study aims to determine the effect of psychological capital on motivation for individual instrument. Another importance of the study is that the role of psychological capital in academia is attached limited attention [5].
The rest of the study is designed as follows: the following chapter is on the concepts and the relation between concepts in order to develop the study's hypothesis. Next, we introduce the methodology including model, sample and scales. Findings are thoroughly discussed in the fourth chapter. The study concludes with discussion and recommendations.

Motivation for Individual Instrument
Motivation is the process of prompting and directing oneself for achieving personal goals [6]. Indeed, motivation may be seen as an improved version of self-influence theory once it is also considered as internal energy supporting individuals to achieve desired goal or cognitive power helping them to reach the goals [2]. Likewise, behavioral approach suggests that positive experiences and rewards are main incentives for students to succeed in personal goals [7]. Similarly, according to Bandura, pioneer of social learning theory, motivation for the students will be high if they expect positive results [8].
On the other hand, Maslow as a humanistic approach representative states that requirements are ordered and satisfied in order to meet the individual's needs. But motivation is not only a success but also a collection of will, effort, and attitudes [9].
There is a plenty of studies discussing literature on motivation. However, literature is not definite on types of motivation. To our best understanding, there are five types of approaches on motivation for learning; natural interest, external resources, success, self-esteem, and feedback [10]. On the other hand, Gardner and Lambert [11] mentions two types of motivation as inclusive and instrumental.
In general, Deci and Ryan [3] create motivation types in self-determination theory, focusing the causes to lead the action; namely, intrinsic motivation, extrinsic motivation, and amotivation. The one with intrinsic motivation acts because of satisfaction of doing something interesting or enjoyable whereas the one with extrinsic motivation acts because of the outcomes acquired in the end. And amotivation is the lack of motivation. While intrinsic motivation is related to self-determination, competence, task involvement, curiosity, enjoyment, and interest, extrinsic motivation concerns with competition, evaluation, recognition, money or other tangible incentives, and constraint by others [12]. Deci and Ryan [3] categorize intrinsic motivation into three groups. First is related to cognition. Intrinsic motivation related to cognition includes action due to satisfaction while learning new things. This type of intrinsic motivation is the most important part of effective learning and higher achievement. Second type is intrinsic motivation for achievement. This type of intrinsic motivation means satisfaction of successfully completing the action and creating new things. Third and last type of intrinsic motivation is the one for stimulation. Intrinsic motivation for stimulation indicates the behaviors to stimulate and excite.
Similarly, extrinsic motivation is grouped as identification, introjection, and external regulation. Identification is the process that individuals transform regulations into their own interest and personal significance. It is also the most autonomous one among extrinsic motivation types, as well. Introjection makes individuals act with the feeling of avoiding guilt or anxiety. In addition to two, external regulation is used to explain the behavior based on an extrinsic demand or a reward.

Psychological Capital
Positive psychology is first introduced to the literature as a positive science on personal positive experiences and characteristics [13]. Mission of psychology is not only helping the mentally ill but also guiding people being more productive and satisfied [14]. Indeed, positive psychology is a paradigm shift focuses on personal characteristics to be developed [15]. It is a multi-disciplined holistic approach including all perspectives contributing to an individual's subjective well-being [16]. To this end, we may define positive psychology as an individual's positively psychological developmental state [17].
In this regard, psychological capital researches the question "Who am I?" [18]. Thus, psychological capital is defined as a tool to minimize the negative effects of environmental factors and to improve human resources [19,20]. This means a shift from thinking "what's wrong with people" to "what's right with people" [21][22][23]. That's why, psychological capital focuses on subjective well-being due to past time, hope and positivism about future, and happiness because of the time being [24].
Luthans and his colleagues who introduced psychological capital mentions a four sub-factor structure and listed them as self-efficacy, positivism, hope, and resilience [20]. Self-efficacy is self-confidence of the one to cope with challenges [17,20,25]. In other words, self-efficacy is the belief on the capacity of the one to get successful results [7]. According to Luthans,Youssef and Avolio [26], self-efficacy changes with performance and experience. Some characteristics of individuals with higher self-efficacy prefer challenging goals, coping with hurdles, self-motivating, and exert sufficient effort to reach the goals [26].
Positivism, second factor, is about positive attitudes of an individual to succeed now and then [17][18][19]25]. A positivist does not generalize the events and believes in that happenings may change over time [27]. A positive individual is good at coping strategies and problem-solving related to interpersonal relations [28].
Third subfactor of psychological capital is called as resilience. Strong state demonstrated by an individual to succeed by confronting problems is named as resilience [17,20,25]. Even when an individual is surrounded by negative events, resilience means continuing for success following recoveries each time [18].
Hope, the fourth factor, is an individual's will for a desired end state while producing alternative routes and choosing the best to reach the desired end state [25]. Hope is definitely goal-oriented energy and comprises the 1404 The Effect of Psychological Capital on Motivation for Individual Instrument: A Study on University Students capacity of producing alternatives [29,30]. Then, hope is related with meaning of life, subjective wellbeing, self-confidence, and resilience [31]. Moreover, hope is basic state of a person including belief and trust towards the world, i.e. thought about the value of life [32].

Hypothesis Development
Because human capital is becoming more significance for organizations, there is an ever growing interest on psychological capital [33]. However, there are some limited studies related to students. For instance, relation between psychological capital and entrepreneurship orientation of students was researched by Yalçın [34]. Psychological capital of university students in the context of career adaptability was investigated by Mercan [35]. The differences among students' psychological capital according to demographic variables were explained by İştar Işıklı [36]. The relationship between psychological capital and life satisfaction was found out [37]. The impact of business school students' psychological capital on academic performance was identified [38,39]. Psychological capital was found as a buffer to student stress [40]. The studies highlight the importance of psychological capital on students' academic achievement and personal goals.
Higher psychological capital leads to higher self-confidence, setting goals, seeking ways to become better teachers, and believing in that future brings positive states for their organizations [41]. Thus it is not wrong to say that psychological capital fosters motivation [5]. A longitudinal study [42] reveals that psychological capital increases intrinsic motivation even though it decreases in time. Also, a training on psychological capital contributes to participants' both personal and professional development [43].
There are also other researches focusing the relations among sub-factors of both variables. For instance; individuals with higher self-efficacy have a higher intrinsic motivation [44]. According to a research on the relation between psychological capital and motivation, there is significant and positive relation between hope and extrinsic motivation [45]. Hope is one of determinants of positive and successful coping strategies [46,47]. The persons having hope use intrinsic and extrinsic motivation resources effectively; thus keep their activeness while they achieve the goals [48].
There is a significant relation between resilience and life satisfaction and hope partially plays a mediating role in this relationship [49]. Intrinsic motivation is a significant mediator between psychological capital of students and their study engagement [50]. Similarly, another study underlines the importance of intrinsic motivation in the relation between psychological capital and job satisfaction [51]. According to methodology of mediation, there must be an interaction between psychological capital and motivation.
According to the discussions above, we may end up that students with higher psychological capital know their goals thus are motivated to study. Thus, we may develop the hypothesis as follows: H1: There is a significant and positive effect of psychological capital on motivation for individual instrument.
In the following part of the study, the sample of the study and information about participants, measurement tools employed in the research, the analyses, and the findings are discussed respectively.

Study Group
There are 156 students enrolled in Music Education Division in the Faculty of Education in Gazi University. Similarly, there are 135 students enrolled in Ankara Hacı Bayram Veli University. All students in both universities were asked for completing the survey form, but 214 of the students returned the questionnaires. In this case, the return rate was 73.54%. The number of the sample at the significance level of 5% with a confidence interval of 5% is determined as 166 [52]. Hence, the sample is adequate to represent the population. Descriptive statistics regarding demographic variables are given in the following tables.
The frequency distribution of the university at which the students study is given in Table 1. While 126 (58.9%) of the students study in Gazi University (GU), 88 (41.1%) of the students study in Ankara Hacı Bayram Veli University (AHBVU). The frequency of the students regarding gender is given in Table 2. 114 of the students are male (53,3%) while 100 of the students are female (46,7%). The frequency of the students related to class is given in Table 3. The number of freshman is 52 (24,3%), the number of sophomore is 58 (27,1%), the number of middler is 55 (25,7%), and that of senior is 49 (22,9%).

Questionnaire
Data on demographic information, psychological capital, and motivation for individual instrument were gathered through a self-reported questionnaire. Validity and reliability studies of adapted psychological capital scale in a student sample were previously made by Yalçın [34]. Psychological capital was first introduced by Luthans and his colleagues [43]. The scale consists of 24 items to measure four different factors. The first 6 items measure resilience, next 6 measures hope, following 6 measures self-efficacy and the rest 6 measures positivism. 3 items (7,20,23) are reverse coded; hence, these items transformed into the usual coding, then analysis was went on.
Validity and reliability of motivation for individual instrument scale was conducted by Girgin [53]. As a result of exploratory factor analysis, the researcher concluded that the scale consist of 25 items with a 3 factor model. Subfactors were called amotivation, motivation for achievement, and motivation for study, respectively. 5-point Likert scale was preferred in the questionnaire and participants were asked to mark to what extent they agree with the statements given (1=Totally disagree, 2=Disagree, 3=No idea, 4=Agree, 5=Totally agree).
In this study, the construct validity was analyzed by confirmatory factor analysis (CFA) and Cronbach Alpha coefficient was employed to test the reliability. CFA results are shown in Table 4, and the results of the reliability analysis are given in Table 5. When the CFA results of psychological capital are examined, it is observed that the fit index values of the tested models are not within acceptable limits [54]. Therefore, modification indices are thoroughly examined. By subtracting question numbered 13 from psychological capital scale, second level related model is modified. Thus the fit index values of the scale became within acceptable limits.
The fit index values of the scale are given in Table 4 (χ 2 /s.d.= 2,008; RMR = 0,076; IFI = 0,915; TLI = 0,900; CFI = 0,914; RMSEA = 0,069; p = 0,000). In this case, the results of reliability analysis of psychological capital scale, in general, based on size and factor, were obtained as shown in Table 5. When the validity and reliability analysis of the psychological capital scale are considered together, it is understood that it is more appropriate to consider the scale as related multi-factor in this study. Because, according to CFA, the second level related model was confirmed, and the Cronbach's alpha of the scale was found as 0,913 and subfactors were deemed reliable (Table 5).
Similarly, the second-level related model for motivation for individual instrument scale is shown in Figure 1. CFA results are shown in Table 6, and the results of the reliability analysis are given in Table 7. When the CFA results of the motivation for individual instrument are examined, it is observed that the fit index values of the models are not within acceptable limits [54]. Therefore, modification indices are thoroughly examined. By subtracting questions numbered 1, 24, and 26 from the self-leadership scale, the model is modified. Thus the fit index values of the scale became within acceptable limits. The modified second-level related model of motivation for individual instrument scale is given in Figure 1. The fit index values of the scale are given in Table 6 (χ 2 /s.d.= 2,315; RMR = 0,068; IFI = 0,927; TLI = 0,917; CFI = 0,927; RMSEA = 0,079; p = 0,000).   In this case, the results of reliability analysis of motivation for individual instrument scale, in general, based on size and factors were obtained as shown in Table  7. When the validity and reliability analysis of motivation for individual instrument scale are considered together, it is understood that it is more appropriate to consider motivation for individual instrument as related model in this study. Because, according to CFA, the second level multifactorial structure was confirmed. In addition, when the reliability analysis results in Table 7 are examined, scale as a whole had low reliability in comparison with the subfactors.

Descriptive Statistics and Tests for Differences
After the validity and reliability studies of the scales employed in the study were completed, hypothesis tests were conducted to verify the research hypotheses. To test the differences, mean of the scales as a whole and subfactors were computed. Descriptive statistics regarding the scales are displayed in Table 8. Regarding psychological capital, resilience and self-efficacy have the greatest mean while hope and positivism are lower, respectively. However, all subfactors of psychological capital is over average. Considering motivation for individual instrument, motivation for achievement has the highest average whereas amotivation has the lowest mean.
Independent sample t-test and one-way analysis of variance (ANOVA) were employed in the study to investigate whether psychological capital and motivation for individual instrument of the students differ by demographic factors. Independent sample t-test was employed to determine the difference by university and gender while ANOVA was employed to determine the difference by class. The results of the hypotheses tests to determine whether psychological capital and motivation for individual instrument of the students differ by students' class, university, and gender are listed in the following tables respectively.
The results of one way ANOVA to determine whether psychological capital and motivation for individual instrument of students differ by the classes are given in Table 9. The rest of subfactors of the variables are excluded in the table since their significance is greater than 0,05. When Table 9 is examined, it can be seen that students' perceptions of resilience and motivation for achievement significantly differ according to their classes. Post-hoc analysis was made to determine which classes differ. At first, homogeneity of variances was tested, and it was assumed that the variances were not equal (Levene statistical value for resilience= 1,183; p = 0,387; Levene statistical value for motivation for achievement=1,141; p=0,333). To this end, Games Howell test was preferred as Post-Hoc analysis method and differences among groups were determined by means of further analysis and shown in Table 9.
Regarding resilience, perceptions of the freshman (mean=4,07, s.d.=0,578) are significantly greater than sophomore (mean=3,71, s.d.=0,654). It is clear that first class of music education require hard working and orientation following high school need some strong state to confront problems. Regarding motivation for achievement, perceptions of the freshman (mean=4,56, s.d.=0,558) are significantly greater than senior (mean=4,15, s.d.=0,790). There is a declining trend for the motivation for achievement through the first class to the last. Skill development may replace academic achievement in parallel with growing university years. Perceptions of students according to psychological capital and motivation for individual instrument regarding universities enrolled were tested by means of independent sample t-test to determine whether they differ by the university. Results of independent sample t-test are given in Table 10. When the table is examined, it is seen that motivation for individual instrument does not differ by university students enrolled. However, all subfactors of psychological capital, except hope, significantly differ by the university. Regarding resilience, perceptions of the students attending AHBVU (mean=3,99, s.d.=0,616) are significantly greater than the ones attending GU (mean=3,80, s.d.=0,732). Likewise, regarding self-efficacy, perceptions of the students attending AHBVU (mean=3,81, s.d.=0,600) are significantly greater than the ones attending GU (mean=3,61,s.d.=0,747). In a similar vein, regarding positivism, perceptions of the students attending AHBVU (mean=3, 55, s.d.=0,684) are significantly greater than the ones attending GU (mean=3,34,s.d.=0,731). It is difficult to discuss the results according to university without additional information, in particular organizational factors. Nonetheless, fresh start of AHBVU in 2018 may be a significant factor for the students to differentiate the perceptions of resilience, self-efficacy, and positivism. Moreover, students studying at GU are music teacher candidates whereas the ones at conservatoire at AHBVU are on the way to be artists. Difference in tracks may create difference of the perceptions Perceptions of students related to psychological capital and motivation for individual instrument according to gender are tested by means of independent sample t-test to determine whether they differ by gender. Results of independent sample t-test are given in Table 11. When the table is examined, it is seen that psychological capital does not differ by gender. On the other side, amotivation significantly differs by gender that perceptions of female students (mean=1,41, s.d.=0,616) are significantly lower than the males (mean=1,64, s.d.=0,825).

Structural Equation Model and Regression Analysis
In order to test the research hypothesis, second-level related models of psychological capital and motivation for individual instrument was used to form structural equation model (SEM) and to run regression analysis to identify the relations among the variables. SEM is shown in Figure 1 and fit indices of SEM are shown in Table 12. When the fit indices of SEM are examined, it is observed that the values are not within acceptable limits [54]. Therefore, modification indices are thoroughly examined. By applying modifications as shown in Figure 1, SEM is modified. Thus the fit index values of the scale became within acceptable limits.   Once SEM was modified and confirmed, regression analysis was employed to identify the interactions among subfactors of the variables. Table 13 gives the results of regression analysis. According to results, resilience significantly and positively affects motivation for achievement (β=0,317, p<0,05). There are no significant relations among the other variables.

Discussion and Conclusions
Considering students, motivation is the starting point for a student to learn a lesson, an incentive for a student to move, and contributes them to finalize whatever they started doing during the study years [4]. It is renowned and of great significance in education that the students have intrinsic motivation and does whatever they do with great satisfaction. On the other hand, concerning the students with lower intrinsic motivation, teachers may develop themselves to employ some strategies to motivate the students having extrinsic motivation. Because instrument playing education takes long hours and requires high physical performance as well as psychological performance, having the will to act is one of main factors to develop performance skills in playing an instrument as a part of music education. Thus, it is critical to study the determinants of motivation of students related to their study areas. That's why this study aims to determine the effect of psychological capital on motivation for individual instrument.
Another importance of the study is that the role of psychological capital in academia is attached limited attention [5]. However, all studies highlight the importance of psychological capital on students' academic achievement and personal goals [34][35][36][37][38][39]. Moreover, psychological capital was found as a buffer to student stress [40].
In addition, there are some studies studied the relations among subfactors of both variables. For instance; individuals with higher self-efficacy have a higher intrinsic motivation [44]. According to a research on the relation between psychological capital and motivation, there is significant and positive relation between hope and extrinsic motivation [45]. Hope is one of determinants of positive and successful coping strategies [46,47]. The persons having hope use intrinsic and extrinsic motivation resources effectively; thus keep their activeness while they achieve the goals [48]. Intrinsic motivation is a significant mediator between psychological capital of students and their study engagement [50]. In the light of discussion, we hypothesize that psychological capital significantly affects motivation for individual instrument.
Data on demographic information, psychological capital, and motivation for individual instrument were gathered through a self-reported questionnaire. The construct validity was analyzed by CFA and Cronbach Alpha coefficient was employed to test the reliability. The second-level related models for psychological capital and motivation for individual instrument were confirmed [3,20].
Regarding psychological capital, resilience and self-efficacy have the greatest mean while hope and positivism are lower, respectively. However, all subfactors of psychological capital are over average. Considering motivation for individual instrument, motivation for achievement has the highest average whereas amotivation has the lowest mean.
Independent sample t-test and one-way analysis of variance (ANOVA) were employed in the study to investigate whether psychological capital and motivation for individual instrument of the students differ by demographic factors. Resilience and motivation for achievement differ by class. As Uluçay [55] reports that there is no significant difference among individual instrument course attitude scores according to the level of grade, it is not unusual all subfactors don't differ by class. Regarding resilience, perceptions of the freshman are significantly greater than sophomore. It is clear that first class of music education require hard working and orientation following high school need some strong state to confront problems. Regarding motivation for achievement, perceptions of the freshman are significantly greater than senior. There is a declining trend for the motivation for achievement through the first class to the last. Skill development may replace academic achievement in parallel with growing university years. In addition, psychological capital does not differ by gender. On the other side, amotivation significantly differs by gender that perceptions of female students are significantly lower than the males.
It is also found out that motivation for individual instrument does not differ by university students enrolled while all subfactors of psychological capital, except hope, significantly differ by the university. It is difficult to discuss the results according to university without additional information, in particular organizational factors. Nonetheless, fresh start of AHBVU in 2018 may be a significant factor for the students to differentiate the perceptions of resilience, self-efficacy, and positivism. On the other hand, there is a definite difference between the universities concerning the departments. The students studying at GU are music teacher candidates whereas the ones at conservatoire at AHBVU are on the way to be artists. Difference in tracks may create difference of the perceptions. Reminding government employment policy, process of music teacher is relatively easier than that of conservatoire. This may, but not limited to, strengthen the students enrolled at AHBVU.
In order to test the research hypothesis, second-level related models of psychological capital and motivation for individual instrument was used to form SEM and to run regression analysis to identify the interactions among the variables. Regression analysis shows that resilience significantly and positively affects motivation for achievement. There are no significant interactions among the other variables. This finding is partially in compliance with some studies in the literature [5,42,[44][45][46][47][48]. However, the literature is not clear on the relation among subfactors of psychological capital and motivation for individual instrument.
Regarding the interaction between resilience and motivation for achievement, the importance of the motivation for individual instrument of the students studying at music department and its interaction with various variables is made more sense. We know that resilience means continuing for success following recoveries each time even when an individual is surrounded by negative events [18]. And skill development would lead to academic achievement; however, it would take long time and require psychical effort. Hence resilience of the students may be improved by including resilience-oriented activities in the syllabus and incenting social activities focusing resilience. Reminding that intrinsic motivation asks for enjoying and interesting design of the lesson, teachers may be innovative and creative to make the lesson more interesting to increase participation.
In addition, departments are expected to promote student activism by providing clean and safe place and supporting the students taking leadership roles displaying enthusiasm for their departments. Moreover, lessening the fear for failure and teaching the students learning how to learn may strengthen the mindsets of the students with less resilience to motivate for achievement.
The inclusion of different variables affecting the motivation of music students will bring a different perspective to the literature. In addition, when it is considered in the context of students, it can be encouraged to focus psychological capital to strengthen motivation. From this point of view, it is highly recommended that further studies focus on determinants and consequences of motivation for individual instrument and psychological capital. Moreover, demographic factors play significant role as a determinant of the variables since both variables are directly related to personality. In addition, there are differences in three dimensions of psychological capital between two university's students. Hence, future studies may design research models including demographic factors-both personal and organizational factors.
On the other hand, there are some limitations of the study. At first, the sample of the study is from the students studying at universities located in Ankara, Turkey. This limitation is threefold. One is the sample is consisted of the students, next, the students study at teaching, and last but not least, quality of life affects the motivation. That's why the findings may be bound by the sample. Second, perceptions of the students are measured in a cross-sectional design. Thus, the findings are related to the psychology for the participants at the time measured. Third, participants may answer the questionnaire as they would be instead not actually they are. Therefore, it is significant that limitations may be kept in mind while findings are generalized.