




































American International Journal of Education and Linguistics Research  

Vol. 1, No. 1; 2018 
Published by American Center of Science and Education, USA 

 

 

24 

Perception of Parents Towards Matriculation Schools in Sivakasi 
 

 

V. Karthihai Selvi   PhD 

Assistant Professor in Commerce , 

Ayya Nadar Janaki Ammal College, Sivakasi, 

Tamil Nadu, 

India 

 

 

Received: November 17, 2018                 Accepted: November 28, 2018         Online Published: December 8, 2018 

 

Abstract 

According to the changes in parents attitude towards the school are following different types of syllabuses, 

namely, State board, CBSE, Matriculation and Delhi board. They are also following various types of teaching 

techniques using overhead projector, group discussion charts, models etc., They are more popularly used teaching 

aids  in institution following, matriculation and CBSE syllabus. This helps the students to shine in their subjects. 

The teaching methods and curriculum are getting more attention in private schools. The parents are preferring 

matriculation and CBSE syllabi which have more subjects and more practical with computer knowledge. The 

objectives of the present study is to know the perception of parents towards matriculation schools.  It is found that 

there is no significant association between socio economic profile of the respondents and their level of perception 

towards matriculation schools. 

Keywords: Institution, Syllabus, Human Capital. 

1.Introduction 

Education has to be oriented towards the development of the intellectual physical and spiritual qualities of the 

child by experience faculty member who are fully conversant with the modern teaching methodology.   

School is one of the most important institution which teach reading, writing and other basic skills needed in 

everyday life. Schools increase people knowledge of the world, train for a job or career and help them to adjust the 

rapid changes that take in the modern life. In school, people learn their responsibilities as citizen and importance of 

values such as truth and justice. School also help people learn to enjoy the acts and to develop other interest that 

makes leisure times rewarding.  

People throughout the world attend school, but the quality of school varies widely among the countries, the 

industrialized nations such as, Australia, Canada, Japan, United States and most European nations have well 

developed education system. Most of their schools have skilled teachers, modern equipments and a variety of 

educational materials. Most young people in these countries complete elementary school and secondary school may 

also continue on to college. 

Other nations especially the developing nations of Africa and Asia cannot yet afford complete education 

systems. Some areas of these countries do not even have schools. In other areas, the schools lack skilled teachers and 

equipment. Most of the children do not complete elementary school and few people enter college. 

2.Statement of the problem 

 According to the changes in parents attitude towards the school are following different types of syllabuses, 

namely, State board, CBSE, Matriculation and Delhi board. They are also following various types of teaching 

techniques using overhead projector, group discussion charts, models etc., They are more popularly used teaching 

aids  in institution following, matriculation and CBSE syllabus. This helps the students to shine in their subjects. 



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The teaching methods and curriculum are getting more attention in private schools. The parents are preferring 

matriculation and CBSE syllabi which have more subjects and more practical with computer knowledge. 

 Parents are also welcoming such type of teaching methods and curriculum for the purpose of their 

children’s future life. In this connection, parents’ view about the syllabus followed in matriculation schools is 

getting more attention in general.  The present study will disclose the facts about the parents attitude towards 

matriculation schools and syllabus in sivakasi. 

3.Scope of the study 

         This study aims at having a clear insight about the parents’ view towards matriculation school. The study tries 

to find out what the parent knows and view   about matriculation school syllabus and other syllabus. This study also 

attempts to understand the factors which influence the parents to admit their children in matriculation schools.  

4.Objectives of the study 

The main objectives of the present study are  

 To know the perception of parents towards matriculation schools. 

 To give suggestions based on the findings of the study. 

5.Hypothesis of the study 

 In order to achieve the objectives of the study, the researcher has found the following hypothesis. 

 There is no significant association between socio-economic profile of the parents and their perception 

towards matriculation schools. 

6.Review of literature 

Previous researches were analysed by the researcher. The literature review was mainly focusing on the 

perception of the parents towards the matriculation schools in sivakasi.  

 Sujit Bordhan (2014) in his research paper titled “parental attitude towards schooling of their children” 

studied about the attitude of parents towards schooling and education of their children and compared the parents 

belonging to tribal and non-tribal communities with regard to their attitude. He found that in spite of the 

government’s endeavours in providing free education to all, the attitude of the respondent was not found to be highly 

favourable. He also found that there was no significant difference between tribal and non-tribal parents attitude 

towards schooling. He concluded that there is a need to provide special care and opportunities to the traditional 

disadvantaged population in a democratic society such as ours, which stresses egalitarianism, social justice and 

economic development for all sections of the society. 

         Faisal Alsauidi (2016) in his research work “Reasons influencing selection decision making of parental 

choice of school.”  Studied about the factor highly regarded as influencing. He found the reasons for selection of 

private or public school in the kingdom of Saudi Arabia (KSA). He identified a factor highly regarded as influencing 

parental decision making as academic factor – divide into three identified elements – class size, quality of 

instructions and student/teacher relationship. Class size, quality of instructions and student/teacher relationships, 

identified as the main elements that influenced their selection decision making. 

 Noor Alyani Yaacob, Mariana Mohamed Osman and Syahriah Bachok (2015) in their research work 

“An assessment of factors influencing parents’ decision making when choosing a private school for the children: a 

case study of Selangor, Malaysia: for sustainable human capital” studied about the research emphasized in  



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analyzing the parents motivation in deciding on private school. This paper aims at investigating the factors 

influencing the parents when selecting a private school as the educational institution for their children. The research 

analyzed what motivated the parents to make the decision in terms of exploring the strengths and weaknesses of 

these private schools over public schools. It was found that the parents make the decision based on their income 

level, social background, followed by the distance and location of the private school when selecting to enrol their 

children in private schools. These eight factors namely income level; social status/background; distance; location; 

teachers quality; schools’ academic performances; school environments/facilities and private schools’ syllabus may 

contribute to enhance the private education level in Malaysia. 

 Chamundeswari, Sridevi, Archana kumari (2014) in their research work of self-concept, studied about 

the habit and academic achievement of students. They studied the relationship between self-concept, study habit and 

academic achievement of students. It is found that there is a significant difference in the self-concept among the 

students in different categories of schools following different system of education, namely, state, matriculation and 

central board schools. The facilities in the matriculation schools and the nature of the syllabus also contribute a lot 

towards the better self-concept of the students. One of the factors contributing to achievement among pupils of 

comparable endowments is the variation of the pupil’s ability to organize their work and to study efficiently. An 

important area of guidance therefore is specific training is how to study, how to learn and how to work efficiently. 

 Appadurai, and Saraladevi, (2015) in their research work “Teaching Aptitude and Teacher Attitude on 

Teacher Efficacy” found that Knowledge and attitudes are underlying factors that shape a teacher action. To uphold 

teaching skills, there is a need for continuous updating of knowledge and development of competence. Cooperation 

with others within and outside the higher education is one way to demonstrate through the aptitude. Aptitude 

describes skills of a person and has the ability to learn in the future. Specific capacity distinct from the general 

intellectual ability which helps an individual to acquire the required degree of proficiency or achievement in a 

specific field. Without aptitude we could not transform attitude into successful action and having the right attitude is 

a form of aptitude, because in order to be successful a person must develop the skill of maintaining mental focus. 

Teacher attitude toward inclusion is affected by personal and general sense of teaching efficacy. Schools should 

offer and allow for additional training/ professional development to the teaching staff so that they are better prepared 

to teach and service the needs of students with disabilities in an inclusive classroom setting. The ultimate goal is 

effective learning for all students, including those with disabilities. 

 Chamundeswari, (2013) in her research work titled “Job satisfaction and performance of school teachers” 

insisted the need to investigate the job satisfaction and performance of teacher in different categories of schools 

following different systems of education. It is for the school authorities’ policy makers and society at large to ensure 

factors contributing to job satisfaction of teachers to the maximum possible extent and thereby enhancing their 

teaching performance to its optimum. In the present study, investigating the job satisfaction and performance of 

teacher in different categories of schools following different systems of education namely, the state, matriculation 

and central board schools, it is seen that there is a significant difference in   job satisfaction and performance of 

teachers. In central board schools, the infrastructure facilities, pay scale, working hours, recognition for the teacher 

work load, class size, number of classes handled per day, attitude of students, awareness and mentality of the parents 

socio-economic status of the parents, are all significantly better and favourable for the teachers working there, and 

thus the teachers in central board schools are significantly  better in their job satisfaction and as a result their  

performance is also significantly better when compared to the teachers in state and  matriculation boards. 

 Norbahiah  Misran, and Norhana arsad (2012) in their research work  titled, “Influencing factors for 

matriculation students in selecting university”  identified that the matriculation students show some dominant factors 

such as suitability, interest and career opportunities were significantly influence them to choose a university and the 

field of study. Based on the findings, faculty would be develop strategies to improve the students selection rate in 

choosing engineering program for the purpose of getting better quality of students. This study is to measure and 

understand the perceptions and interests of matriculation students to continue their studies at territory level. As a 



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27 
 

result, important information such as their level of knowledge about UKM and their interests in the engineering 

program in UKM is obtained. This finding is useful to plan the strategy of dissemination information to the 

community especially to the matriculation students. Further research is to be conducted to look into the longitudinal 

study on the factors in students’ decision to observe the trend of decision making over maturity. 

 Yifat ben-David Kolikant, (2009) in the research work of the students, perceptions of school and the 

usability of Digital technology in schools. Discussed that today’s students were born into a world of Digital 

technology. The surveys were filled out by three different classes that do not use computers in school one in a high 

school that advocates beyond- information activities and two in information focused public (i.e., state) schools-a 

high school and a middle school. These attitudes were found to be negatively correlated with the legitimacy ascribed 

to the form of learning used in school. Specifically, the two public school classes used Digital technology in the 

belief that they know better than their teacher how to pursue a school information- focused agenda, whereas the third 

class legitimized the form of learning used in school. The results of this study, especially the belief among a 

significant number of public- school students that they know more about the educational potential of the internet 

than their teachers, should alert the system. However, more work is required to explore students’ attitudes towards 

school learning. Additionally, further work is needed to shed light on teachers’ attitude towards students’ use of the 

internet at home and its impact on students’ beliefs and schooling practices. 

 E.V.Rathaiah. (2011) had emphasized on formal education, extent of its spread among the tribal 

communities and the nature of structural constraints in a part of adilabad district of Andhra Pradesh. The author 

presents the living conditions of various tribes and the rate of low literacy rate among them. He critically examines 

different types of constraints in providing education to the people in which he discussed the influences of structural 

variables in to external constraints includes ecology i.e., geographical, exposure to modernity and socio- economic 

status of the family, type of occupation level of income etc, and internal constraints which included the teachers, 

content of education medium of instructions, administration and supervision and attitude towards education.  

  Sarkes.A.K. (2010) conducted a study to find the correlation of children attitudes to that of their parents, 

the main objectives of the study was to examine the relationship between  children’s attitude towards their 

parents and variables like children perception of parental love, their birth order, gender and some aspects of 

personality. Some of the important findings were that attitudes scores were normally distributed, boys and girls with 

favourable and unfavourable attitude did not differ with respect to their personality and the third born children 

attitude towards their parents differed significantly. 

7.Methodology 

 The data collection is purely based on primary and secondary sources.  

Primary Data  

 The primary data were collected through interview schedules from the respondents. The interview schedule 

has been designed to gather the data keeping in view of the objectives. 

Secondary data  

 Data have been gathered from books and journals which are available in the library of our college and from 

the interne 

 

 

 



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Pre –Test 

 Before going to collection of data, the researcher find the selected samples of respondents for pre-testing 

the interview schedule. It helps for arranging the question in the order of logical and convenient answering. The 

interview schedule includes the questions of objective types, open-ended, multi choice and ranking question. 

Sampling design  

 Convenience sampling was adopted by the researcher for collecting data from the respondents.  

Statistical Tools 

For analysis of data, the appropriate statistical tools have been employed.  

They are 

 Percentage analysis 

 Chi-square test 

Period of the study  

 The study was carried out from December- 2017 to February- 2018. 

8.Profile of the respondents  

 The Socio- economic profile of the respondents is displayed in the following table. 

Table 1 

Socio Economic Profile of Respondents 

Profile Particulars No.of 

Respondents 

Percentage 

Gender 
Male 19 23.80 

Female 61 76.20 

Age 

Below 30 

years 
33 41.20 

31-40 years 39 48.80 

41-50 years 8 10.00 

Educational 

Qualification 

SSLC 30 37.50 

Higher 

Secondary 
27 33.80 

UG 12 15.00 

PG 8 10.00 

Professional 3 3.80 

Occupation 

Business 10 12.50 

Private job 18 22.50 

Government 

job 
9 11.20 

Profession 1 1.20 

Housewife 42 52.50 

Monthly Income 

Below Rs.5000 51 63.80 

Rs. 5000-

10000 
15 18.80 

Rs. 10001- 2 2.50 



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15000 

Above 

Rs.15000 
12 15.00 

Number of 

members in the 

family 

Less than 4 10 12.50 

4-6 69 86.20 

7-9 1 1.20 

Number of 

Children in the 

family 

1 child 8 10.00 

2 children 65 81.20 

3 children 7 8.80 

Source: primary data 

9.Perception of parents towards matriculation schools 

 The researcher has analyzed the perception of parents level in matriculation schools. The gathered details 

are presented in table 2. 

Table 2 

 Perception of parents towards matriculation schools 

S.No Particulars 
Very 

good 
Good Average Poor 

Very 

poor 
Total 

1 About teaching 
28 

(35.00) 
47 

(58.80) 

5 

(6.20) 
- - 

80 

(100.00) 

2 Quality of syllabus contents 
23 

(28.80) 
44 

(55.00) 

12 

(15.00) 

1 

(1.20) 
- 

80 

(100.00) 

3 Burden of fees 
1 

(1.20) 

8 

(10.00) 
54 

(67.50) 

13 

(16.20) 

4 

(5.00) 

80 

(100.00) 

4 
Adequacy of extracurricular 

activities 

20 

(25.00) 
45 

(56.20) 

15 

(18.80) 
- - 

80 

(100.00) 

5 
About communication skill of 

students 

19 

(23.80) 
40 

(50.00) 

20 

(25.00) 

1 

(1.20) 
- 

80 

(100.00) 

6 
Infrastructure facility present in 

school 

24 

(30.00) 
47 

(58.80) 

7 

(8.80) 

1 

(1.20) 

1 

(1.20) 

80 

(100.00) 

7 
Sports training level/ importance 

of sports 

15 

(18.80) 
43 

(53.80) 

19 

(23.80) 

3 

(3.80) 
- 

80 

(100.00) 

8 Adequate transport facility 
27 

(33.80) 
29 

(36.20) 

21 

(26.20) 

1 

(1.20) 

2 

(2.50) 

80 

(100.00) 

Source: primary data 

 From the Table 2,  it is found that out of the 80  respondent, majority of respondents have (58.80) per cent 

of the respondents said that teaching was good, (55.00) per cent of the respondents said that matriculation syllabus 

content was good, (67.50) per cent of the respondents felt that school fees was average, (56.20) per cent of the 

respondents felt that extracurricular activities good, (50.00) per cent of the respondents said that communication 

skill was good, (58.80) per cent of the respondents said that infrastructure facility was good, (53.80) per cent of the 

respondents felt that sports training  was good, and the remaining (36.20) per cent of the respondents felt that  

transport facility were  good.  

10.Identification of level of perception towards matriculation schools 

 The researcher has tried to find out the association between socio economic variables of the respondents 

and their level of perception towards matriculation schools. The level of perception is measured by using likerts five 

point scaling technique. The following variables were taken for analysis 

 About teaching  



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 Quality of syllabus contents 

 Burden of fees 

 Adequacy of extracurricular activities 

 About communication skill of students 

 Infrastructure facility present in school 

 Sports training level / importance of sports 

 Adequate transport facility 

 The respondents were asked to give their level of perception towards the matriculation schools to the above 

said variables. The scores were assigned to the five point scale. 

 Very good -5 points 

 Good- 4 points 

 Average- 3 points 

 Poor - 2 points 

 Very poor - 1point 

 The scores were added and total scores for individual responses were arrived. Then mean and SD for the 

total score was calculated the level of perception was divided into three groups namely. High, Medium and Low 

based on mean and SD. The mean and SD for the total scores were 31 and 3 respectively. The level of perception is 

divided accordingly 

 (  + SD) = 34> High 

 (  - SD) =28< Low 

 (  + SD) + (  - SD) 28 to 34: Medium 

Socio-Economic factor variables and level of perception by using chi-square test 

 In order to test the relationship between socio- economic factor variables, namely, gender, age, educational 

qualification, occupation, monthly income, family members, Number of children  and Number of children studying 

in matriculation school and level of perception. The hypothesis that there is no significant relationship between the 

socio- economic factor and level of perception. The Chi- square test has been applied by using SPSS. 

Chi- Square test  

  Chi-squared test is one of the simplest and mostly widely used non-parametric tests i statistical work. The 

X
2
 symbol is Greek letter Chi. The X

2
 was first used by Karl pearson in the year 1900. The quantity X

2
 describes the 

magnitude of the   describes the magnitude of the discrepancy between theory and observation. The test statistics of 

X
2
 has been computed as follows 

Chi-square value 

   
                         

      

 



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                  Row Total X Column Total 

E            = --------------------------------------------- 

                           Grand Total 

 

O =Observed   frequency  

E = Expected   frequency  

DF = Degree of Frequency 

DF=(r-1) (c-1) 

r = Row 

      c= Column  

11.Association Between Socio- Economic Factor Of The Respondents And Level Of Perception Towards 

Matriculation Schools 

Hypothesis 

 “There is no significant association between socio- economic factors of the respondents and their 

level of perception” 

 To test the above hypothesis, Pearson’s Chi- square test is applied and the result is presented in the 

following table 3.  

Table 3 

Gender of the respondents and their level of perception 

S. 

No 
Gender 

Level of perception 
Total 

High Medium Low 

1 Male 
4 

(5.00) 

12 

(9.70) 

3 

(4.30) 

19 

(19.00) 

2 Female 
17 

(16.00) 

29 

(31.30) 

15 

(13.70) 

61 

(61.00 

 Total 
21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

 The result of chi-square test is presented in the following table. 

Table 4 

 Chi-Square tests 

 Value Df Asymp. Sig. (2-sided) 

Pearson Chi-Square 1.445 2 .486 

Likelihood Ratio 1.466 2 .480 

Linear-by-Linear Association .012 1 .914 

N of Valid Cases 80   

a. 2 cells (33.3%) have expected count less than 5. 

b. The minimum expected count is 4.28. 

 From table 4, it is found that the p- value (0.486) is more than 0.05. Hence null hypothesis is accepted. So it 

is concluded that there is no significant association between gender of the respondents and their level of perceptions. 



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Table 5 

Association between age of the respondents and their level of perception towards matriculation schools 

S. 

No 
Age 

Level of perception 
Total 

High Medium Low 

1 Below 30 years 
7 

(8.70) 

17 

(16.90) 

9 

(7.40) 

33 

(33.00) 

2 31-40 years 
11 

(10.20) 

19 

(20.00) 

9 

(8.80) 

39 

(39.00) 

3 41-50 years 
3 

(2.10) 

5 

(4.10) 

 

0 

(1.80) 

8 

(8.00) 

 Total 
21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

The result of chi-square test is presented in the following table. 

Table 6 

Chi-Square tests 

 Value Df Asymp.Sig.(2-

sided) 

Pearson chi-square 3.148 

 

4 

 

.533 

 

Likelihood Ratio 4.890 4 .299 

Linear-by-Linear 

Association 

2.158 

 

1 .142 

N of valid cases 80   

a. 3 cells (33.3%) have expected count   less than 5. 

b. The minimum expected count is 1.80. 

  Table 6 revealed that the p- value (0.533) is more than 0.05. Hence null hypothesis is accepted. So it is 

concluded that there is no significant association between age of the respondents and their more level of perceptions. 

Table 7 

Association between educational qualifications of and their level of perception 

S. 

No 
Education 

Level of perception 

Total 
 

High 

 

Medium Low 

1 SSLC 

5 

(7.90) 

 

20 

(15.40) 

5 

(6.80) 

30 

(30.00) 

2 

 

 

Higher 

secondary 

 

9 

(7.10) 

 

11 

(13.80) 

 

7 

(6.10) 

 

27 

(27.00) 

 



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3 

 

 

 

UG 

 

 

4 

(3.20) 

 

 

5 

(6.20) 

 

3 

(2.70) 

12 

(12.00) 

4 PG 
2 

(2.10) 

3 

(4.10) 

3 

(1.80) 

8 

(8.00) 

5 Professional 
1 

(0.80) 

2 

(1.50) 

0 

(0.70) 

3 

(3.00) 

 Total 
21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

 The result of chi-square test is presented in the following table. 

Table 8 

Chi-Square tests 

 Value Df Asymp.Sig.(2-sided) 

Pearson chi square 
6.582 

 

8 

 

.582 

 

Likelihood Ratio 7.210 8 .514 

Linear-by-Linear Association 
 

0.061 

 

1 

 

.805 

N of valid cases 80   

a. 8 cells (53.3%) have expected count   less than 5. 

b. The minimum expected count is 0.68. 

  From Table 8 it is found that the p- value (0.582) is more than 0.05. Hence null hypothesis is accepted. So 

it is concluded that there is no significant association between educational qualifications of the respondents and their 

more level of perceptions. 

Table 9 

Association between occupation of the respondent and level of perception 

S.

No 

Occupati

on 

Level of perception 

Total 
High 

Mediu

m 
Low 

1 Business 

3 

(2.60) 

 

5 

(5.10) 

2 

(2.20) 

 

10 

(10.00) 

 

2 
Private 

job 

4 

(4.70) 

 

10 

(9.20) 

4 

(4.00) 

18 

(18.00) 

3 

 

 

Governm

ent job 

3 

(2.40) 

 

4 

(4.60) 

 

2 

(2.00) 

9 

(9.00) 



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4 
Professio

n 

1 

(0.30) 

0 

(0.50) 

0 

(0.20) 

1 

(1.00) 

5 
House 

wife 

10 

(11.00) 

 

22 

(21.50) 

10 

(9.40) 

42 

(42.00) 

 Total 
21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

 The result of chi-square test is presented in the following table. 

Table 10 

Chi-Square tests 

 Value Df Asymp.Sig.(2-

sided) 

Pearson chi-square 3.462 

 

8 

 

.902 

 

Likelihood Ratio 3.324 8 .912 

Linear-by-Linear 

Association 

 

0.078 

 

1 

 

.780 

N of valid cases 80   

a. 10 cells (66.7%) have expected count   less than 5. 

b. The minimum expected count is 0.23. 

  From table 10 it is found that the p- value (0.902) is more than 0.05. Hence null hypothesis is accepted. So 

it is concluded that there is no significant association between occupation of the respondents and their level of 

perception towards matriculation schools. 

Table 11 

   Association between monthly income of the respondents and level of perception 

S. 

No 

Income    Level of perception Total 

High Mediu

m 

Low 

1 Below 

Rs.5000 

14 

(13.40) 

 

26 

(26.10) 

 

11 

(11.50

) 

 

51 

(51.00) 

2 Rs.5000-

10000 

4 

(3.90) 

 

6 

(7.7) 

5 

(3.40) 

15 

(15.00) 

3 Rs.10001-

15000 

0 

(0.50) 

1 

(1.00) 

 

1 

(0.40) 

2 

(2.00) 

4 Above Rs. 

15000 

3 

(3.20) 

8 

(6.20) 

1 

(2.70) 

12 

(12.00) 



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 Total 21 

(21.00) 

41 

(41.00) 

18 

(18.00

) 

80 

(80.00) 

Source: primary data 

 The result of chi-square test is presented in the following table. 

Table 12 

Chi-Square tests 

 Value Df Asymp.Sig.(2-sided) 

Pearson chi-square 
4.034 

 

6 

 

.672 

 

Likelihood Ratio 4.607 6 .595 

Linear-by-Linear Association 
0.019 

 
1 .890 

N of valid cases 80   

a. 7 cells (58.3%) have expected count   less than 5. 

b. The minimum expected count is 0.45. 

 Table 12 revealed that the p- value (0.672) is more than 0.05. Hence null hypothesis is accepted. So it is 

concluded that there is no significant association between monthly income of the respondents and their level of 

perceptions towards matriculation schools. 

Table 13 

Association between family members of the respondents and level of perception 

S. 

No 

Members    Level of perception Total 

High Mediu

m 

Low 

1 Less than 

4 

3 

(2.60) 

 

 

4 

(5.10) 

3 

(2.20) 

10 

(10.00) 

2 4-6 18 

(18.10) 

 

36 

(35.40) 

15 

(15.50) 

69 

(69.00) 

3 7-9 0 

(0.30) 

1 

(0.50) 

 

0 

(0.20) 

1 

(1.00) 

 Total  21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

  

 

 

 



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The result of chi-square test is presented in the following table. 

Table 14 

Chi-Square tests 

 Value Df Asymp.Sig.(2-sided) 

Pearson chi-square 
1.532 

 

4 

 

.821 

 

Likelihood Ratio 1.912 4 .752 

Linear-byLinear Association 
0.023 

 
1 .879 

N of valid cases 80   

a. 5 cells (55.6%) have expected count   less than 5. 

b. The minimum expected count is 0.23. 

  Table 14 it is found that the p- value (0.821) is more than 0.05. Hence null hypothesis is accepted. So it is 

concluded that there is no significant association between family members of the respondents and their level of 

perceptions. 

Table 15 

Association between number of children of the respondents and level of perception 

S.N

o 

Childr

en 

   Level of perception Total 

High Medium Low 

1 1 child 3 

(2.10) 

3 

(4.10) 

2 

(1.80) 

8 

(8.00) 

2 2 

childre

n 

17 

(17.10) 

 

32 

(33.30) 

16 

(14.60) 

65 

(65.00) 

3 3 

childre

n 

1 

(1.80) 

6 

(3.60) 

 

0 

(1.60) 

7 

(7.00) 

 Total 21 

(21.00) 

41 

(41.00) 

18 

(18.00) 

80 

(80.00) 

Source: primary data 

 The result of chi-square test is presented in the following table. 

Table 16 

Chi-Square tests 

 Value Df Asymp.Sig.(2-

sided) 

Pearson chi-square 4.463 

 

4 

 

.347 

 

Likelihood Ratio 5.820 4 .213 

Linear-by-Linear 

Association 

 

0.000 

 

1 

 

.989 

N of valid cases 80   



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37 
 

a. 6 cells (66.7%) have expected count   less than 5. 

b. The minimum expected count is 1.58. 

  Table 16  revealed that the p- value (0.347) is more than 0.05. Hence null hypothesis is accepted. So it is 

concluded that there is no significant association between number of children of the respondents and their more level 

of perceptions. 

12.Suggestions  

 On the basis of his findings, the researcher offers the following suggestions. 

 The matriculation syllabus is good and the best choice that the management should recommend to the 

education board to improve the syllabus to some extended. 

 Night study can be   removed from the school then only the children feel relaxed and they can have full 

concentration in the studies. 

 The teachers should consider the children point of view and they should reduce the home work. 

 The language subjects should be improved. 

 Proper training will improve the performance of the children in the sports activities. 

 The effective method of teaching will helpful to       the students to source high mark in their studies. 

13.Conclusion 

  This study shows that matriculation school is mostly preferred by the parents among the various alternative 

of state Board and CBSE. They are also highly satisfied with their child performance and also they are thinking that 

it is helpful for their child higher studies.  

References 

Appadurai.R, Saraladevi.K (2015), “Teaching Aptitude and Teacher Attitude on Teacher Efficacy” International 

Journal of Innovative Research in Science, Vol.No. 4, Issue No. 10, pp 10252-10261. 

Chamundeswari.S, Sridevi.V, Archana Kumarai (2014), “Self- Concept, Study Habit and Academic Achievement 

of Students” International Journal of Humanities Social Sciences and education, Vol.No.1, Issue No.10, 

pp 47-55.  

Chamundeswari.S (2013), “Job Satisfaction and Performance of School Teachers” International Journal of 

academy Research in business and sciences, Vol. No. 3, pp 420-428. 

Faisal Alsauidi (2016), “Reasons influencing selection decision making of parental choice of school” Journal of 

Research in education and Science, Vol.No.2, issue No.1, pp 201-211. 

Norbahiah Misran and Norhana Arsad (2012), “Influecing Factors for Matriculation Students in Selecting 

University and Program of Study” Procedia – Social and behavioural Sciences, pp 567-574 

Noor Alyani Yaacob, Mariana Mohamed Osman, Syahriah Bachok (2015), “An assessment of factors influencing 

parents’ decision making when choosing a private school for their children:  a case study of Selangor, 

Malaysia: for sustainable human capital” Procedia environmental sciences, Vol.No.28, pp 406- 417. 

Rathaiah.E.V. (2011), “Technophobia of higher Secondary School Teachers” International Journal of Teacher 

Educational Research, Vol.No.1, Issue No.3, pp 22-28. 

Sujit Bordhan (2014), “Parental attitude towards schooling of their children” Journal of all India association for 

educational Research, Vol.No. 26, pp 1-13. 



www.acseusa.org/journal/index.php/aijelr   American International Journal of Education and Linguistics Research     Vol. 1, No. 1; 2018 

38 
 

Sarkes.A.K. (2010) “Occupational Stress and Coping Strategies of matriculation School teachers working” 

International Journal of Applied research, Vol. No.4, Issue No.8, pp 87-92. 

Yifat Ben-David Kolikant, (2009), “Digital Students in a Book – Oriented School: Students’ Perceptions of School 

and the Usability of Digital Technology in Schools” Educational Technology and Society, Vol.No.12, 

Issue. No. 2, PP 131-143. 

 

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