Investigation of music teacher candidates ’ individual instrument burnout , perceived family support in instrument training and individual instrument training habits with regard to various variables

In the research, “Questionnaire on Individual Instrument Course Burnout” developed by Girgin, “Questionnaire on Individual Instrument Training habits” developed by Küçükosmanoğlu, Babacan, Babacan and Yüksel, and “Questionnaire on Perceived Family Support for Individual Instrument Course” developed by Girgin were used. Statistical package for social science (SPSS) 21.00 software package was used for data analysis. Since the research data did not show a normal distribution, Mann Whitney U analysis was used for binary variables; and Kruskal Wallis and Spearman Brown’s Rank Correlation analyses were used for variables more than two. Music teacher candidates’ individual instrument burnout scores showed statistically significant difference depending on university and individual instrument variables; their family support scores showed significant difference depending on grade, university, high school and individual instrument variables; and their training habits showed significant difference depending on gender, university and individual instrument variables. A significant negative correlation at a low rate was found between music teacher candidates’ burnout scores and their family support scores. A significant negative and moderate correlation was found between teacher candidates’ burnout scores and their studying habit scores. A significant positive moderate correlation was found between teacher candidates’ family support scores and their training habit scores.

Societies' art lives are to a large extent formed by art educators.In close connection with the subject of this research, the majority of music teachers in Turkey complete their professional education at the fine arts education departments of faculties of education.A wide variety of courses are provided regarding the field and pedagogic professional knowledge at Music Education Departments.The courses related to the field are also divided into two as individual and group courses.Piano training, vocal training and individual instrument training are examples of individual courses.Individual instrument is the personal instrument of music teacher candidates, willingly chosen among other instruments, and they are held responsible for developing their technique and musicality for a period of four years using this instrument, which can be also be used throughout their professional lives.
In this context, it can be considered to have an important place in music teacher candidates' musical lives.However, as in all fields, undesired situations may also occur in instrumental training and have adverse impacts on the quality of music.One of these factors is the feeling of burnout experienced by teacher candidates.The concept of "burnout" was initially introduced to the scientific world by Herbert Freudenberg in a 1974 issue of "Journal of Social Issues".Two years later, Chiristina Maslach performed a more detailed study on concept.Several studies on the subject were introduced in the "1st International Conference on Burnout" (Peker, 2002 as cited in Karacan, 2012).It was defined in the most concise and simple way as "the mental and physical burnout of energy" (Budak and Sürgevil, 2005).
Burnout, or emotional exhaustion, is frequently encountered among people who are engaged in professions with peer to peer communication.The most prominent symptom of the burnout syndrome is the increasing feeling of emotional exhaustion.Working individuals feels like they cannot engage in their works when they fall short of emotional sources.Accordingly, they display negative and sarcastic attitudes and behaviors against their working group ( Maslash and Jackson, 1981).
Several reasons may underlie burnout which has undesired effects on individuals' personal and working lives.These underlying reasons may be personal or administrative.Personal sources of burnout involve demographic characteristics and expectations, whereas administrative sources of burnout involve human relations, conflicts, competency, agreement, work overload and relationship with superiors (Izgar, 2003).
It is stated in the related literature that burnout has been more commonly encountered in specific areas of profession.Education and service sectors are among these areas (Ertürk and Kececioğlu, 2012).Reportadly, it has been even more severely experienced among professions such as nursery, medicine, and teaching that require peer-to-peer and face to face communacition as a result of the overwhelming burden of increasing workload and worsening living conditions (Kell, 1993 as cited in Altay et al., 2010).
Teachers' burnout may manifest itself in a variety of ways depending on physical or emotional conditions.Inadequate classroom conditions, failing to have access required materials and teaching aids, crowded classrooms, overwhelming working hours and physical conditions can be shown as some of the underlying factors.Emotional conditions, on the other hand, may involve the unconcernedness and incuriousness of students, being deprived of administrators' support, inconsiderate and careless parents, or the lack of interest in the field.Several studies have been conducted on teachers' burnout in Turkey or the other countries (Akten, 2007;Otacıoğlu, 2008;Bilgen and Genç, 2014;Çelik and Yılmaz, 2015;Tümkaya, 2016;Yong and Yue, 2007;Grayson and Alvarez, 2008;Skaalvik and Skaalvik, 2010;Karahan et al., 2011;Droogenbroeck et al., 2014;Joy and Dikes, 2015).
The concept of burnout is not specific to occupational groups alone.It may also be experienced by students.The feeling of burnout may arise particularly among university students due to the feeling of uncertainty followed by graduation, challenges related to being away from their families, the overwhelming workload of homeworks and projects, crowded classrooms, challenges related to getting acquianted with a new environment and the intensity of technical courses.It leads to a negative mood which is effective on both teachers and students.The feeling of exhaustion may lead to undesired impacts on individuals such as stress symptoms, the negative influence on working life, the symptoms of exhaustion and behavioral disorders (Izgar, 2003).In this context, the feeling of exhaustion induced by the feeling of underachievement can be alleviated through adopting organized working or training habits, since academic success depends on the extent to which a student works systematically or orderly (Subaşı, 2000).
Training habits are expected to be adopted at early ages.Küçükahmet (2002) exemplified students' training habits and attitudes as; their feelings during the process of learning or their feelings towards homeworks; their training methods, their ways of utilizing libraries, their relationships with their families and friends, and their arrangements as to their working environment.Students' training habits and attitudes are largely influenced by their own study approaches, assignments and homeworks, their working environment, works at school and teacher-student relationships.Pressey and Robbinson (1970) summarized the important points of their work on students' training habits as; keeping the physical and mental health at reasonable grounds for working, effective usage of time, paying strict attention to taking and keeking the notes in a proper way as well as the rules for a good literacy, and carrying out their studies within the frame of a well organized program (as cited in Dilek, 1993).
Students' being informed as to what and how to study as well as their ability to make the required study plan and their perseverance in pursuing is closely associated with acquisition of the right study habits.One of the most important rules of effective learning is carrying out a planned work.Making a working plan is related to determination of working priorities and their realization within the frame of a calender.The initial step of a working plan is determination of the priorities.Students who determine their priorities in a clear and effective way also know how to use their time efficiently (Uluğ, 2012).
In their study on students' study habits in Turkey, Küçükahmet (1987) reported that, students in this country have low attitudes towards training and inadequate training habits, and those with positive attitudes towards teachers and education have better study habits (Dilek,1993).Other studies on training habits include Ergene (2011) research which was performed with 510 senior high school students to determine their study habits, exam anxienties, achievement motives and academic success levels.Significant correlations were found between the exam anxiety inventory's delusion subscale scores and academic success level; between the scores received from the questionnaire on study habits and academic success level; and between study habits and achievement motives.
Accordingly, study habits are supported by a positive study environment at home and school.Learners' being fully aware of their families' support is highly important for their affective availability, since individuals' current attitudes and behaviors are considered to have direct connection with their family experiences.Children's first social environment is their family (Girişken, 2010).Several studies on the effect of family support are available at various fields (Yıldırım, 2000;Altay et al., 2010;Tan, 2000).
In light of this, the convenience of some of the internal and external conditions becomes essential for learning individuals to achieve their targets.Music education involves the collective and continuous use of cognitive and psycho-motor skills and an efficient music education is possible through systematic daily works.In this field, individual instruments of music teacher candidates are their means of teaching throughout their professional lives and means of learning throughout their four years education in music education departments.This feeling of burnout that they undergo during their instrument training is likely to impair their skills and pose a serious impediment for achieving the desired quality.
In addition to this, the support they receive from their family holds great importance for their emotional lives, since family is their first social environment.The interest of their families in art, music, music education and individual instrument may have a positive or negative effect on teacher candidates' motivation.Another important factor which may have an impact on individual instrumental skills is certainly the teacher candidate's Gerçeker 449 study habits.A teacher candidate working within the frame of an applicable and realistic working program with specified priorities can easily gain access to the outcomes of individual instrument courses.Consequently, answers were sought to the following questions within the framework of these three concepts which constitute a cornerstone with respect to a music teacher candidate's individual instrument: (1) Do the music teacher candidates' instrument burnout scores show significant difference depending on their; (a) Genders, (b) School grades, (c) Universities that they receive education from, (d) High schools that they graduated from, (e) Their individual instruments?
(2) Do the music teacher candidates' family support total and subscale scores show significant difference depending on their; (a) Genders, (b) School grades, (c) Universities that they receive education from, (d) High schools that they graduated from, (e) Their individual instruments?
(3) Do the music teacher candidates' instrumental study habits total and subscale scores show significant difference depending on their; (a) Genders, (b) School grades, (c) Universities that they receive education from, (d) High schools that they graduated from, (e) Their individual instruments?(4) Is there a significant relationship between music teacher candidates' burnout scores related to their individual instrument courses, family support scores, and study habit scores?

Study group
The study group consisted of 255 students receiving education in Fine Arts Education Music Education Departments of Balıkesir University Necatibey Faculty of Education (N:84), Muğla Sıtkı Koçman University Faculty of Education (76) and Adnan Menderes University Faculty of Education (95), as of the spring term of 2016 to 2017 academic year.154 of these participants are male and 101 are female.55 students were 1st grade students, 64 were 2nd grade students, 71 were 3rd grade students and 65 were 4th grade students.

Data collection tools
"Questionnaire on Individual Instrument Course Burnout",

Collection of data
Research data were gathered from the music education departments of three different universities.These universities are Adnan Menderes University (ADU), Balıkesir University (BU) and Muğla University (MU).The required approvals were received from the related academician on the date and hours of the research.This was followed by the data collection process.2. As indicated in the table, music teacher candidates' burnout scores did not show a significant difference depending on their school grade (H3=4.376,p>0.05).Burnout scores of music teacher candidates based on their universities are shown in Table 3.

Analysis
Burnout mean rank values of teacher candidates calculated on the basis of their universities are shown in Table 3.As indicated in Table 3, music teacher candidates' burnout scale scores did not show a significant difference based on their universities (H3=12.359,P<0.05).In this respect, the highest burnout score belonged to the music teacher candidates receiving education in ADU, which was followed by those receiving education in BAU and MU, respectively.Individual instrument burnout scores of music teacher candidates based on the high schools they graduated from are shown in Table 4.
Burnout Mean rank values of teacher candidates received from Kruskal Wallis H test on the basis of their high school graduation are shown in Table 4.As shown in the table, burnout scale scores of music teacher candidates did not show a significant difference based on their high school graduations (H3=0.597,p>0.05).Individual instrument-based burnout scores of music teacher candidates are shown in Table 5.
Teacher candidates' mean rank scores calculated based on their individual instrument-based burnout scores received from Kruskal Wallis H Test are given in Table 5.As shown in the table, music teacher candidates' burnout scale scores do not show a significant difference depending on their individual instrument (H3=17.091,P<0.05).Accordingly, burnout scores of the students that play piano are significantly higher than those who play other instruments.The 2nd and 3rd highers scores were received by viola and violin players respectively.The other instrument groups are shown in Table 5.

The findings and discussions related to the 2nd sub-problem
Mann Whitney U and Kruskal Wallis H tests were applied since music teacher candidates' gender, school grade, university, high school graduation and individual instrument variables were at    6. Music teacher candidates' mean rank values related to their total family support, sensitivity and "involvement in the process" subscale scores are shown in Table 6.As indicated in the table, music teacher candidates' gender based total family support scores as well as their family support sub-scale scores (sensitivity and involvement in the process) do not show a statistically significant difference (U=6765.500,U=6976.000,U=6709.000,P >0.05).School grade-based distribution of music teacher candidates' family support scores are shown in Table 7.
Music teacher candidates' mean rank values calculated for their school grade-based Total Family Support and family support However, music teacher candidates' scores received from family support scale family support-involvement in the Process subscale score was found to significantly differ depending on their school grade (H3=11.592,P<0.05).Accordingly, the highest family support involvement in the Process score belonged to 4th grade students, which was followed by 1st, 3rd and 2nd grade students, respectively.University-based family support scores of music teacher candidates are shown in Table 8.
Music teacher candidates' university-based mean rank values calculated for their total family support and family support subscale scores using Kruskal Wallis H test, are shown in Table 8.As shown in the table, music teacher candidates' total family support and family support subscale scores do not show a statistically significant difference depending on their school grade Teacher candidates' mean rank values calculated for total family support and family support.As shown in the table, music teacher candidates' family support subscale scores (Sensitivity and Involvement in the Process) do not show a statistically significant difference depending on the university that they receive education from (H2=5.149,H2=5.312,P>0.05).
However, teacher candidates' total family support scale scores exhibit a significant difference based on the universities they receive education (H2=6.582,P<0.05).Accordingly, MU students received the highest family support total score, which was followed by ADU and BAU students.
Distribution of music teacher candidates' family support scores based on their high school graduations is shown in In this regard, the highest score received by teacher candidates belongs to the graduates of fine arts high school, who were respectively followed by Vocational high school and Anatolian high school graduates.The highest score received from the sensitivity subscale of family support scale belongs to the graduates of Fine Arts High School as well.They were followed by Vocational High School and Anatolian high school graduates.The highest score received from the "involvement in the process" subscale of the family support scale also belongs to Fine Art High School graduates, followed by Vocational High School and Anatolian high school graduates by a narrow margin.Distribution of music teacher candidates' family support total scores based on their individual instruments is shown in Table 10.
Music teacher candidates' mean rank scores related to their family support total scores calculated using Kruskal Wallis H test based on their individual instruments are shown in Table 10.As shown in the table, music teacher candidates' family support total scores show a statistically significant difference depending on the type of their individual instrument (H8=15.545,P<0.05).
Accordingly, Qanun players family support total scores are significantly higher than those playing other individual instruments.Qanun players were followed by violoncello and viola players respectively.The other instrument groups are shown in Table 10.Music teacher candidates' family support scale sensitivity subscale scores depending on their individual instruments are shown in Table 11.
Teacher candidates' individual instrument based Kruskal Wallis H Accordingly, family support sensitivity subscale scores of the students that play Qanun is significantly higher than those of the student that play other instruments.Qanun players were followed by violoncello and viola players respectively.The scores of the players of other individual instruments are given in Table 11.Distribution of music teacher candidates' family support scale, "involvement in the process" subscale scores, based on their individual instruments, is shown in Table 12.
Teacher candidates' individual instrument Kruskal Wallis H Test results with relation to their family support "involvement in the process" subscale scores are shown in Table 11.As indicated in the table, music teacher candidates' Familu Support Scale Involvement in the Process Subscale scores do not show a statistically significant difference based on their individual instrument (H8=9.194,P>0.05).

Findings and discussions related to the 3rd sub-problem
Mann Whithey U and Kruskal Wallis H tests were applied since music teacher candidates' gender, school grade, university, high school graduation and individual instrument variables were at p<.05 level.Gender-based distribution of music teacher candidates' scores related to their individual instrument training habits are shown in Table 13.

Mann Whitney U test results
Music teacher candidates' total training habits scores and mean ranks values for the subscales are shown in Table 13.As shown in the table, total training habits scores as well as "attaching value on training", "preparadness for training", and "correct use of time" subscale scores do not show a statistically significant difference (U=7757.000,U=7431.500,U=6673.500,U=7159.500,P >0.05).
As shown in the  15.Significant differences are observed depending on the university variable (H2=12.514,H2=23.958,H2=8.511,H2=6.803,P<0.05).However no significant difference is observed between the scores in "correct use of time" subscale (H2=5.213,P>0.05).As indicated in Table 15, the music teacher candidates, receiving education in MU, received the highest total training habits score calculated on the basis of the university variable.This was followed by ADU and BU students, respectively.
As shown in the table, the music teacher candidates receiving education in MU also received the highest "attaching value on training" subscale score which was calculated in relation to the university variable.They were respectively followed by ADU and BU students.As indicated in the table, the highest "interest and willingness" subscale score calculated on the basis of the university variable, belongs to ADU students.This university was followed by BU and MU, respectively.According to the table, the highest "preparedness for training" subscale score was received by MU students, who were followed by the students of ADU and BU, respectively.Distribution of music teacher candidates' individual instrument training habits, on the basis of high school graduation variable, is presented in Table 16.
Mean rank values of high-school-graduation-based Kruskal Wallis H Test results calculated in relation to the training habits total and subscale scores are shown in Table 16.According to the table, music teacher candidates' Training Habits Total and subscale scores do not differ significantly depending on their high school graduation (H3=3.454, H3=2.014, H3=3.562, H3=7.674, H3=1.503, p>0.05).Distribution of music teacher candidates' individual instrument training habit total scores is shown in Table 17.18.
The mean rank values of teacher candidates related to the training habits scale, "attaching value on training-preparedness for training" subscale results obtained from Kruskal Wallis H test based on individual instrument variable are shown in Table 18.As shown in the table, music teacher candidates' "attaching value on trainingpreparedness for training" subscale scores show a significant difference depending on the individual instrument variable (H8=16.468,P>0.05).Accordingly, the highest "preparedness for training" score belongs to qanun players, which were followed by baglama and violoncello players respectively.Distribution of music teacher candidates' individual instrument training habits based on the university variable is shown in Table 19.
Teacher candidates' mean rank values calculated using Kruskal Wallis H test with relation to their training habits scale interest and willingness subscale scores based on the individual instrument variable are shown in Table 19.As indicated in the table, music teacher candidates' interest and willingness subscale scores do not display a statistically significant difference on the basis of their individual instrument (H8=2,799, P>0.05).Distribution of music teacher candidates' instrument training habits scale preparedness for training subscale scores based on the individual instrument variable are shown in Table 20.
Teacher candidates' mean rank values related to their training habits scale-preparedness for training subscale scores calculated using Kruskal Wallis H test, are shown in Table 20.As indicated in the table, music teacher candidates' preparedness for training subscale scores exhibit a significant difference based on the individual instrument variable (H8=16.929,P<0.05).In this regard, the highest preparedness for training subscale score was received by qanun players, which was respectively followed by baglama and violin players.Distribution of music teacher candidates' individual instrument training habits "correct use of time" subscale scores based on the individual instrument variable are shown in Table 21.
Teacher candidates' mean rank values calculated with relation to their training habits scale-correct use of time subscale scores using Kruskal Wallis H test based on their individual instrument, are shown in Table 21.As shown in the table, music teacher candidates "correct use of time" subscale scores do not significantly differ based on their individual instrument (H8=11.817,P>0.05).

Findings and discussions related to the 4th sub-problem
The correlation scores between music teacher candidates' burnout, family support and traning habit scores are shown in Table 22.

RESULTS
The following results was obtained regarding music The highest burnout score belongs to the music teacher candidates receiving education in ADU.This was followed by BAU and MU students.The highest individual instrument burnout scores belong to the piano players, who were followed by viola and violing players respectively.The scores related to music teacher candidates family support scores, as the second subproblem of the research, are as follows; family support total and subscale scores do not differ significantly based on students' gender.Contrary to this, significant results were obtained for the school grade, university, high school graduation and individual instrument variables.
The participants' family support total and family support sensitivity subscale scores do not differ significantly based on the student's school grade.On the contrary, the scores received from family support scale's family support involvement in the process subscale show a significant difference.According to this result, the highers family support involvement in the process subscale score was received by 3 rd grade students, who were followed by 4th, 2nd, and 1st grade students, respectively.
The participants' family support sensitivity and family support involvement in the process subscale scores do now show a significant difference based on the university variable.However, there is a significant difference between their family support total scores.Accordingly the highers score was received by the music teacher candidates receiving education in ADU, who were followed by BAU and MU students.
The family support total and subscale (involvement in the process and sensitivity) scores received by the research sample significantly differ based on their high school graduation.In this regard, the music teacher candidates who graduated from fine arts high schools received higher scores than other graduates.This was followed by general High School, Anatolian High School and Vocational High School graduates.
Music teacher candidates' family support scale involvement in the process subscale scores show a significant difference based on the individual instrument variable.On the contrary, their total family support and family support sensitivity subscale scores differ significantly.Accordingly, the highest total family support score belongs to the music teacher candidates who play qanun.In the family support sensitivity subscale, the highest score was also received by music teacher candidates who play qanun.They were respectively followed by violoncello and viola players.
The participants' total training habits score and related subscale scores do not significantly differ based on their school grades and high school graduations.On the other hand, the scores they received from training habits scale and its subscales show a significant difference based on their gender, university and individual instrument variables.Female music teacher candidates' training habits scaleinterest and willingness subscale are significantly higher than those of the male teacher candidates.
The sample group's attaching value on training, interest and willingness, and preparedness for training subscale scores, under the training habits scale, show significant difference on the basis of university variable.In this regard; the highest training habits score belongs to the students of MU.They were followed by ADU and BU students, respectively.In the "attaching value on training" subscale of the training habits scale, the highest score was received by the music teacher candidates who receive education in MU, who were followed by ADU and BU students.
The scores received by the participants from training habits scale significantly differ at the related subscales depending on their individual instruments.Accordingly, the scores received by qanun player teacher candidates at "attaching value on training" and "preparedness for training" subscales significantly differ from the others.They were followed by baglama players and violoncello players in the "attaching value on training" subscale; and baglama players and violin players in the "preparedness for training" subscale.
Finally, a significant negative low level correlation was found between music teacher candidates' burnout scores and family support scores.Also, there is a significant negative medium level correlation between music teacher candidates' burnout scores and training habits scores, and a significant positive medium level correlation between their family support and training habits scores.

DISCUSSION
The participants' burnout scores do not show a significant difference based on their genders, school grades and the high schools they graduated from.Modern era requires people to be equipped with a variety of skills and vast knowledge to achieve success in various fields of life.New requirements have been demanded for job selection, at job applications and examinations as a result of the increasing population.To achieve these, people engage in an intense endeavor at an early age.
In this regard, participating students may have received identical burnout scores regardless of their variables, since all people are required to make the same effort to catch up with the era.The findings of the present research are supported with the related literature.In their research on doctors and nurses at the Medical Faculty of Ankara University, Sayıl et al. (1997) did not find a significant difference at the gender variable.Additionally, Avşaroğlu et al. (2005) did not detect a significant difference in a gender-based evaluation of technical teachers' burnout scores.On the other hand, it has been stated in several studies that, gender is not a significant variable in the case of teaching (Akın and Oğuz, 2010;Çelikkaleli, 2011;Ertürk and Keçecioğlu, 2012;Filiz, 2014).In contrary to this, it was reported in some of the studies (Budak and Sürgevil, 2005;Gündüz et al., 2012;Izgar and Yılmaz, 2000;Çapulcuoğlu and Gündüz, 2013;Ören and Türkoğlu, 2006;Balkıs et al., 2011;Otacıoğlu, 2008;Ay and Avşaroğlu, 2010;Karahan and Balat, 2011;Yeğin, 2014;Sencer and Gençdoğan, 2012;Çakmak and Şahin, 2017) that, gender is effective on burnout.In light of these, the present study is expected to contribute to the related literature as an original research.
In the research, music teacher candidates' burnout levels did not significantly differ based on their school grade.In many aspects, the structure of music teaching department differs from the other departments of faculties of education.Most of the provided courses, particularly instrument training, require a daily and systematic preparation.Accordingly, burnout scores amond different school grades may not have differed.However, a significant difference between burnout scores was reported in many studies that evaluated burnout among different school grades (Gündüz et al., 2012;Çapulcuoğlu and Gündüz, 2013;Balkıs et al., 2011).This may be attributed to different sample groups and measurement tools of these studies.
The participants' burout scores do not significantly differ based on their high school graduations as well.This can be ascribed to the majority of high school graduates' opinion that they embark on a new life with university.Graduates of Fine Arts High Schools may regard four years of music teaching education as the next stage of their music education, and the graduates of other high schools may regard this period as the start of their music education.This finding is supported by Çavuşoğlu and Tümkaya (2010) research.
The participating music teacher candidates' burnout scores significantly differ based on their university education and the type of individual instrument they use.The highest burnout score for individual instrument variable was received by piano players.This can be attributed to piano's being an unportable musical instrument, thus preventing students from leaving their training environment.In addition, many of the music teacher candidates can not afford a piano thoroughout their education period due to its size and price.They are either obliged to stay at school for training or train at their piano-owner friends' houses.For such reasons they may have received higher burnout scores.
The second variable of the research was family support.Music teacher candidates' family support scores do not show a significant difference in a gender based evaluation.Their burnout scores significantly differ based on their school grades (at the famly support involvement in the process subscale), university education (total score), high school graduation (total score and all subscale scores), and individual musical instrument (total score and family support sensitivity subscale).Family support scores differed among many variables of the research.This is attributable to the fact that, many of the cognitive, affective and psycho-motor skills and knowledge acquired by individuals are initially developed in their family environment.Additionally, families differ from each other by the way they raise their children, also by their priorities and cultures.Such differences have a major effect on their children's preferences, skills and children's attitudes towards the professions they choose.For such reasons, family support scores may have differed for many variables.
Music teacher candidates' training habits do not show a significant difference based on the high schools they graduated from.No study on students' individual instrument training habits was encountered in the related literature.However, studies in which school grade variable was found to be effective on the training habits, are available (Aksu and Kurtuldu, 2015;Temelli and Kurt, 2010;Dural, 2008;Bay et al., 2005).This can be ascribed to different sample groups used in the research.Therefore, this research is expected to contribute to the literature.No significant difference was found between the participants training habit scores based on their high school graduation.Similar results are available in the literature (Aksu and Kurtuldu, 2015).
Research results also show that, music teacher candidates' training habit scores significantly differ based on their gender (at interest and willingness subscale), universities (at total scale, also attaching value on training, interest and willingness and preparedness for training subscales), and individual instruments (at attaching value on training and preparedness for training subscales).Among the participating music teacher candidates, the highest scores at the preparedness for training subscale of training habits scale was received by the students who play qanun.Qanun is a Turkish music instrument.Students may be motivated by its being an adopted, favored and preferred musical instrument by Turkish society, and accordingly they may have received higher training habit scores (at the preparedness for training scale) than other instrument players.Also, qanun players are not restricted with a fixed location for training, which in turn may result with higher preparedness for training scores.
Finally, there is a significant low level negative correlation between music teacher candidates' burnout and family support scores; a significant medium level negative correlation between their burnout and training habit scores; and a significant medium level positive correlation between their family support and training habit scores.This finding supports the general situation in daily lives of teacher candidates.Music teaching education involves heavy individual trainings and works.The moral and material support received from their families hold great importance for teacher candidates in achieving a successful and permanent musical performance.The positive significant correlation between the training habit and family support scores of students may have resulted from this situation.

RECOMMENDATIONS
The following recommendations are proposed in light of the obtained findings: (1) New intra-class (methods, approaches and activities, etc.) or out-of-class (cultural and art activities, etc.) arrangements may be conducted with a view to minimize music teacher candidates' burnout feelings, and increase their motivations and attitudes.
(2) The efficiency of systematic training can be mentioned in courses, particularly instrument training courses.
(3) A new course with in-depth insight into training habits can be integrated in the curriculum for music teacher candidates.(4) Musicians who achived professional success can be invited as lecturer to universities within the scope of cultural activities.This way, a role model can be established for music teacher candidates.

Table 1 .
Gender-based distribution of Instrument burnout scores of music teacher candidates.

of data
Mann Whitney U and Kruskal Wallis H tests were applied since the music teacher candidates' gender, grade, university and high school variables were at P<0.05 level.Gender-based burnout scores of music teacher candidates related to individual instrument courses are shown in Table 1.Gender-based burnout mean rank scores of music teacher candidates received from Mann Whitney U Test are shown in Table 1.As shown in the table, gender-based burnout scores of music teacher candidates do not show a significant difference (U=7038.500,P <0.05).School grade-based burnout scores of music teacher candidates related to individual instrument training are shown in Table 2.The mean rank values calculated for the burnout scores of teacher candidates using Kruskal Wallis test are shown in Table Accordingly; Mann Whitney U Test was applied as the gender variable (P<0.05);KruskalWallis H Test was applied as the school grade variable (P<0.05);KruskalWallis H Test was applied as the university variable (P<0.05);KruskalWallis H Test was applied as the high school graduation variable (P<0.05); and Kruskal Wallis H Test was applied as the individual instrument variable (P<0.05).Since the research data did not show normal distribution, Mann Whitney U test was used for binary variables, and Kruskal Wallis and Spearman Brown Rank Correlation Test were used for variables more than two.Findings and discussions related to the sub-problem

Table 2 .
School grade-based distribution of music teacher candidates' instrument burnout scores.

Table 3 .
Distribution of music teacher candidates' instrument burnout scores based on the universities they receive education.

Table 4 .
Distribution of music teacher candidates' instrument burnout scores based on the high schools that they graduated from.

Table 5 .
Distribution of music teacher candidates' instrument burnout scores based on their individual instruments.
P<0.05 level.Music teacher candidates' family support scores are shown in Table 6.Music teacher candidates' gender-based family support scores are shown in Table

Table 6 .
Gender-based distribution of music teacher candidates' family support scores.

Table 7 .
School-grade based distribution of music teacher candidates' family support scores.

Table 9 .
Teacher candidates' high school graduation-based mean rank scores obtained from Kruskal Wallis H Test with relation to total family support and family support subscales are shown in Table 9.As indicated in the table, music teacher candidates' score Family

Table 8 .
University-based distribution of music teacher candidates' family support scores.

Table 9 .
Distribution of music teacher candidates' family support scores based on their high school graduation.

Table 10 .
Distribution of music teacher candidates' family support total scores based on their individual instruments.

Table 11 .
Distribution of music teacher candidates' family support sensitivity subscale scores depending on their individual instruments.
Test results with relation to their family support sensitivity subscale scores are shown in Table11.As indicated in the table, music teacher candidates' Family Support Sensitivity subscale scores show a significant difference based on the individual instruments that they play (H8=15.902,P<0.05).

Table 14 .
Mean rank values of teacher candidates' Kruskal Wallis H Test results calculated with relation to training habits total and its subscales based on the school grade variable are shown in Table 14.In the table, music teacher candidates' training habits total scores and subscale scores do not show a significant difference based on the school grade variable (H3=1,586, H3=7,659, H3=6,924, H3=2,189, P>0.05).University-based distributions of music teacher candidates' individual instrument training habits are shown in Table 15.

Table 12 .
Distribution of music teacher candidates' family support scale "involvement in the process" subscale scores based on their individual instruments.

Table 13 .
Gender-based istribution of music teacher candidates' individual instrument training habit scores.

Table 14 .
School grade-based distribution of music teacher candidates' individual instrument training habit scores.

Table 15 .
University-based distribution of music teacher candidates' training habit scores.

Table 16 .
Distribution of music teacher candidates' individual instrument training habits, depending on their high school graduation variable.

Table 17 .
Distribution of music teacher candidates' individual instrument training habit total scores based on their individual istruments.

Table 18 .
Distribution of music teacher candidates training habits "attaching value on training" subscale scores based on the individual instrument variable.Teacher candidates' mean rank values for Kruskal Wallis H test results calculated with relation to their training habit total scores based on their individual instrument are shown in Table 17.As shown in the table, music teacher candidates' training habits total scores do not significantly differ depending on the individual instrument variable (H8=12.819,P>0.05).Distribution of music teacher candidates' individual instrument training habits "attaching value on training" subscale scores based on the individual instrument variable are shown in Table

Table 19 .
Distribution of music teacher candidates' training habits interest and willingness subscale scores based on the individual instrument variable.

Table 20 .
Distribution of music teacher candidates' instrument training habits preparedness for training subscale scores based on the indivirual instrument variable.

Table 21 .
Distribution of music teacher candidates' individual instrument training habits "correct use of time" subscale scores based on the individual instrument variable.

Table 22 .
The correlation scores between music teacher candidates' burnout, family support and traning habit scores.