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    INFLUENCE OF PSYCHOSOCIAL FACTORS ON THEACHIEVEMENT IN PHYSICS OF FEMALE HIGHER

    SECONDARY STUDENTS STUDYING IN THERURAL SCHOOLS OF TIRUNELVELI DISTRICT

    J.S. Febila Josephin

    Assistant Professor, Keins College of Education for Women, Vallioor, Tirunelveli District.

    ABSTRACT

    This research article focuses the attention on the influence of certain psychosocial factors on

    the achievement of female higher secondary students in physics studying in the rural schools.

    The investigator has chosen social adjustment, parental encouragement and self-concept as

    the psychosocial factors for determining their effect on the achievement of the chosen sample

    in physics. The investigator adopted survey method for the data collection. For this study,

    the investigator prepared Social Adjustment Inventory, and adopted two standardized tools

    for measuring parental encouragement scale of Sharma, R.R. (1988) and self-conceptinventory of R.K. Saraswat (1984). The population of the present study is all the female

    higher secondary students studying in the rural schools in Tirunelveli District. From the

    population, the investigator selected 1000 female students using simple random sampling

    technique. For analyzing the data, the investigator used Mean, SD, t Test, ANOVA, Chi-

    square Analysis and Pearsons Product Moment Correlation. The findings of the

    correlational analysis showed that the chosen psychosocial factors have significant influence

    on the achievement of rural female higher secondary students in physics.

    INTRODUCTION

    Girls make up the majority of more than 121 million children out of school. Their

    numbers increase in times of conflict, social crisis, poverty and natural disasters. Girlseducation is a human rights issue and the obligation of all governments. For UNICEF,

    ensuring the right to education, for girls as well as boys, is both a moral and social

    imperative.

    Girls are in double jeopardy because they are disadvantaged within groups that are

    already discriminated against, such as rural populations or the poor. Girls education is a core

    development issue. Educated women are key to breaking the cycle of inter-generational

    poverty. Investments in girls education particularly those directed to improving the quality

    of education and also benefit boys. The reverse is not always the case.

    NEED FOR THE STUDY

    According to Johnetta Cole, When you educate a man you educate an individual

    when you educate a woman you educate a whole family.

    It is stated that when a man is educated he would educate another man. On the other

    hand when a woman is educated she would educate the whole family. In the past, our girls

    had been deprived of their opportunities to enter into different fields of life on par with their

    counterparts. Now the scene has become changed. Women have been proving their talents

    in many fields such as medicine, engineering, information technology, education, industry

    etc.

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    Women not only compete with men but also excel men in certain fields. Education of

    women unlike in the past has been very much encouraged through exclusive reservation for

    women in jobs in states like Tamilnadu. In the final examinations at the 10th and 12th levels

    not many rural girls score high percentage of marks.

    The major population in Tirunelveli is living in rural areas. Number of rural girlsenrolled for higher secondary education is less than the number of rural boys enrolled for the

    same. Number of rural girls passing the public examinations and scoring higher marks is less

    than the urban girls in the districts of Tamilnadu.

    Informal chats with the higher secondary rural girls by the investigator have clearly

    revealed that factors such as socio-economic status of parents, parental encouragement, home

    environment, school environment, self-confidence and self-esteem have exercised influence

    on the performance of the girl students at the higher secondary level. Motivated by the

    informal results of the chats, the investigator wants to investigate the extent of the influence

    of certain psychosocial factors on the achievement of rural female higher secondary students

    in physics.

    DEFINITION OF THE TERMS

    Psycho Factors

    By Psycho factors, the investigator means parental encouragement and self-concept of

    higher secondary school rural girl students in Tirunelveli district.

    Social Factors

    By social factors, the investigator means social adjustment and socio-economic status

    of higher secondary school rural girl students in Tirunelveli district.

    Achievement in Physics

    It refers to the accomplishment of the individual in physics. The product of learning

    can be measured in terms of marks obtained in the test. By the term physics, the

    investigator means that it is a systematized accumulation of knowledge about matter and

    energy through a scientific method of enquiry based on some science related values and

    attitudes.

    Achievement in physics is operationally defined as the average percentage of marks

    obtained by rural girl students in half-yearly examination at +2 level conducted by the

    concerned schools on the academic year 2010 2011.

    Rural Female Higher Secondary Students

    By rural female higher secondary students, the investigator means the girls residing in

    rural areas, studying standards XI and XII in government, government aided and unaided

    higher secondary schools.

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    OBJECTIVES

    1. To find the significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their self-concept and its dimensions.

    2. To find the significant difference among rural female higher secondary students

    studying in government, aided and private schools in their self-concept and itsdimensions.

    3. To find the significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their self-concept and

    its dimensions.

    4. To find the significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their social adjustment.

    5. To find the significant difference among rural female higher secondary students

    studying in government, aided and private schools in their social adjustment.

    6. To find the significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their social adjustment.

    7. To find the significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their parental encouragement.

    8. To find the significant difference among rural female higher secondary students

    studying in government, aided and private schools in their parental encouragement.

    9. To find the significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their parental

    encouragement.

    10. To find the significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their achievement in physics.

    11. To find the significant difference among rural female higher secondary students

    studying in government, aided and private schools in their achievement in physics.12. To find the significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their achievement in

    physics.

    13. To find the significant association between self-concept of rural female higher

    secondary students and their family monthly income.

    14. To find the significant association between social adjustment of rural female higher

    secondary students and their family monthly income.

    15. To find the significant association between parental encouragement of rural female

    higher secondary students and their family monthly income.

    16. To find the significant association between achievement in physics of rural female

    higher secondary students and their family monthly income.17. To find the significant relationship between self-concept of rural female higher

    secondary students and their achievement in physics.

    18. To find the significant relationship between social adjustment of rural female higher

    secondary students and their achievement in physics.

    19. To find the significant relationship between parental encouragement of rural female

    higher secondary students and their achievement in physics.

    NULL HYPOTHESES

    1. There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their self-concept and its dimensions.

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    2. There is no significant difference among rural female higher secondary students studying

    in government, aided and private schools in their self-concept and it dimensions.

    3. There is no significant difference among rural female higher secondary students studying

    in mathematics, science and computer science groups in their self-concept and it

    dimensions.

    4. There is no significant difference between rural female higher secondary studentsstudying in Tamil medium and English medium in their social adjustment.

    5. There is no significant difference among rural female higher secondary students studying

    in government, aided and private schools in their social adjustment.

    6. There is no significant difference among rural female higher secondary students studying

    in mathematics, science and computer science groups in their social adjustment.

    7. There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their parental encouragement.

    8. There is no significant difference among rural female higher secondary students studying

    in government, aided and private schools in their parental encouragement.

    9. There is no significant difference among rural female higher secondary students studying

    in mathematics, science and computer science groups in their parental encouragement.10. There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their achievement in physics.

    11. There is no significant difference among rural female higher secondary students studying

    in government, aided and private schools in their achievement in physics.

    12. There is no significant difference among rural female higher secondary students studying

    in mathematics, science and computer science groups in their achievement in physics.

    13. There is no significant association between self-concept of rural female higher secondary

    students and their family monthly income.

    14. There is no significant association between social adjustment of rural female higher

    secondary students and their family monthly income.

    15. There is no significant association between parental encouragement of rural female higher

    secondary students and their family monthly income.

    16. There is no significant association between achievement in physics of rural female higher

    secondary students and their family monthly income.

    17. There is no significant relationship between self-concept of rural female higher secondary

    students and their achievement in physics.

    18. There is no significant relationship between social adjustment of rural female higher

    secondary students and their achievement in physics.

    19. There is no significant relationship between parental encouragement of rural female

    higher secondary students and their achievement in physics.

    METHOD AND PROCEDURE

    The investigator adopted survey method for the present study. For this study, the

    investigator prepared Social Adjustment Inventory, and adopted two standardized tools for

    measuring parental encouragement scale of Sharma, R.R. (1988) and self-concept inventory

    of R.K. Saraswat (1984). The population of the present study is all the female higher

    secondary students studying in the rural schools in Tirunelveli District. From the population,

    the investigator selected 1000 female students using simple random sampling technique. For

    analyzing the data, the investigator used Mean, SD, t Test, ANOVA, Chi-square Analysis,

    Pearsons Product Moment Correlation and Factor Analysis.

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    ANALYSIS AND FINDINGS

    Null Hypothesis 1

    There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their self-concept and its dimensions.

    Table - 1

    Difference between Rural Female Higher Secondary Students studying in Tamil medium and

    English medium in their Self-concept and its dimensions

    Dimensions

    Tamil English Calculated

    t Value

    Table

    ValueRemark

    N Mean SD N Mean SD

    Physical 600 29.26 3.01 400 29.12 2.79 0.75 1.96 NS

    Social 600 28.75 4.01 400 28.41 3.98 1.35 1.96 NS

    Temperamental 600 27.57 3.37 400 27.52 3.34 0.22 1.96 NS

    Educational 600 27.80 5.94 400 28.79 5.18 2.79 1.96 S

    Moral 600 30.38 3.43 400 30.88 3.21 2.34 1.96 S

    Intellectual 600 29.83 4.75 400 30.58 4.60 2.48 1.96 S

    Self-concept in

    Total600 173.59 14.70 400 175.29 14.62 1.80 1.96 NS

    It is inferred from the above table that there is no significant difference between rural

    female higher secondary students studying in Tamil medium and English medium in their

    self-concept in total and its dimensions physical, social and temperamental. But, there issignificant difference between rural female higher secondary students studying in Tamil

    medium and English medium in their educational moral and intellectual self-concepts.

    While comparing the mean scores of rural female higher secondary students studying

    in Tamil medium and English medium in their educational self-concept, English medium

    students (mean = 28.79) are better than the Tamil medium students (mean = 27.80) in their

    educational self-concept.

    While comparing the mean scores of rural female higher secondary students studying

    in Tamil medium and English medium in their moral self-concept, English medium students

    (mean = 30.88) are better than the Tamil medium students (mean = 30.38) in their moral self-concept.

    While comparing the mean scores of rural female higher secondary students studying

    in Tamil medium and English medium in their intellectual self-concept, English medium

    students (mean = 30.58) are better than the Tamil medium students (mean = 29.83) in their

    intellectual self-concept.

    It is found that significant difference is observed between the rural female higher

    secondary students studying in Tamil medium and English medium in the dimensions of self-

    concept educational, moral and intellectual.

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    Null Hypothesis 2

    There is no significant difference among rural female higher secondary students

    studying in government, aided and private schools in their self-concept and it dimensions.

    Table - 2.

    Difference among Rural Female Higher Secondary Students studying in Government, Aidedand Private Schools in their Self-concept and it dimensions

    Dimensions

    Between Within Calculated

    F Value

    Table

    Value

    RemarkSS MSV df SS MSV df

    Physical 8.94 4.47 2 8534.46 8.5699

    70.52 3.00 NS

    Social 66.84 33.42 2 15886.16 15.9399

    72.10 3.00 NS

    Temperamental 4.53 2.27 2 11248.87 11.28

    99

    7 0.20 3.00 NS

    Educational155.3

    577.68 2 31939.45 32.04

    99

    72.42 3.00 NS

    Moral 60.02 30.01 2 11157.74 11.1999

    72.68 3.00 NS

    Intellectual117.9

    658.98 2 21998.62 22.06

    99

    72.67 3.00 NS

    Self-concept in

    Total

    789.3

    3

    394.6

    62

    214585.1

    4

    215.2

    3

    99

    71.83 3.00 NS

    It is inferred from the above table that there is no significant difference among ruralfemale higher secondary students studying in government schools, aided schools and private

    schools in their self-concept in total and its dimensions.

    Null Hypothesis 3

    There is no significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their self-concept and it

    dimensions.

    Table - 3

    Difference among Rural Female Higher Secondary Students studying in Mathematics,

    Science and Computer Science Groups in their Self-concept and it dimensions

    Dimensions

    Between Within Calculated

    F Value

    Table

    Value

    RemarkSS MSV df SS MSV df

    Physical 16.55 8.28 2 8526.85 8.55 997 0.97 3.00 NS

    Social 21.18 10.59 2 15931.83 15.98 997 0.66 3.00 NS

    Temperamental 58.59 29.29 2 11194.81 11.23 997 2.61 3.00 NS

    Educational 192.25 96.12 2 31902.55 32.00 997 3.00 3.00 NS

    Moral 67.25 33.62 2 11150.51 11.18 997 3.01 3.00 S

    Intellectual 61.84 30.92 2 22054.73 22.12 997 1.40 3.00 NS

    Self-concept inTotal

    1958.50 979.25

    2 213415.97

    214.06

    997 4.57 3.00 S

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    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in mathematics, science and computer science

    groups in the dimensions of self-concept - physical, social, temperamental, educational and

    intellectual. But, there is significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their self-concept in totaland in the dimension of self-concept - moral.

    Null Hypothesis 4

    There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their social adjustment.

    Table - 4.

    Difference between Rural Female Higher Secondary Students studying in Tamil medium and

    English medium in their Social Adjustment

    VariableTamil English Calculated

    t Value

    Table

    ValueRemark

    N Mean SD N Mean SD

    Social Adjustment 600 18.15 3.36 400 18.23 2.95 0.43 1.96 NS

    It is inferred from the above table that there is no significant difference between rural

    female higher secondary students studying in Tamil medium and English medium in their

    social adjustment.

    Null Hypothesis 5

    There is no significant difference among rural female higher secondary studentsstudying in government, aided and private schools in their social adjustment.

    Table - 5.

    Difference among Rural Female Higher Secondary Students studying in Government, Aided

    and Private Schools in their Social Adjustment

    VariableBetween Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Social Adjustment 4.28 2.14 2 10243.32 10.27 997 0.21 3.00 NS

    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in government schools, aided schools and private

    schools in their social adjustment.

    Null Hypothesis 6

    There is no significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their social adjustment.

    Table - 6.

    Difference among Rural Female Higher Secondary Students studying in Mathematics,

    Science and Computer Science Groups in their Social Adjustment

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    VariableBetween Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Social Adjustment 30.86 15.43 2 10216.74 10.25 997 1.51 3.00 NS

    It is inferred from the above table that there is no significant difference among ruralfemale higher secondary students studying in mathematics, science and computer science

    groups in their social adjustment.

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    Null Hypothesis 7

    There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their parental encouragement.

    Table - 7.

    Difference between Rural Female Higher Secondary Students studying in Tamil medium andEnglish medium in their Parental Encouragement

    Variable

    Tamil English Calculated

    t Value

    Table

    ValueRemark

    N Mean SD N Mean SD

    Parental

    Encouragement600 104.59 8.43 400 104.92 8.21 0.62 1.96 NS

    It is inferred from the above table that there is no significant difference between rural

    female higher secondary students studying in Tamil medium and English medium in their

    parental encouragement.

    Null Hypothesis 8

    There is no significant difference among rural female higher secondary students

    studying in government, aided and private schools in their parental encouragement.

    Table - 8.

    Difference among Rural Female Higher Secondary Students studying in Government, Aided

    and Private Schools in their Parental Encouragement

    Variable

    Between Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Parental

    Encouragement73.19 36.59 2 69421.29 69.63 997 0.53 3.00 NS

    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in government schools, aided schools and private

    schools in their parental encouragement.

    Null Hypothesis 9

    There is no significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their parental

    encouragement.Table - 9.

    Difference among Rural Female Higher Secondary Students studying in Mathematics,

    Science and Computer Science Groups in their Parental Encouragement

    Variable

    Between Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Parental

    Encouragement38.76 19.38 2 69455.71 69.66 997 0.28 3.00 NS

    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in mathematics, science and computer sciencegroups in their parental encouragement.

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    Null Hypothesis 10

    There is no significant difference between rural female higher secondary students

    studying in Tamil medium and English medium in their achievement in physics.

    Table - 10.

    Difference between Rural Female Higher Secondary Students studying in Tamil medium andEnglish medium in their Achievement in Physics

    Variable

    Tamil English Calculated

    t Value

    Table

    ValueRemark

    N Mean SD N Mean SD

    Achievement in

    Physics600 113.75 28.50 400 112.37 28.15 0.76 1.96 NS

    It is inferred from the above table that there is no significant difference between rural

    female higher secondary students studying in Tamil medium and English medium in their

    achievement in physics.

    Null Hypothesis 11

    There is no significant difference among rural female higher secondary students

    studying in government, aided and private schools in their achievement in physics.

    Table - 11.

    Difference among Rural Female Higher Secondary Students studying in Government, Aided

    and Private Schools in their Achievement in Physics

    Variable

    Between Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Achievement in

    Physics74.42 37.21 2 803248.55 805.67 997 0.05 3.00 NS

    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in government schools, aided schools and private

    schools in their achievement in physics.

    Null Hypothesis 12

    There is no significant difference among rural female higher secondary students

    studying in mathematics, science and computer science groups in their achievement in

    physics.Table - 12.

    Difference among Rural Female Higher Secondary Students studying in Mathematics,

    Science and Computer Science Groups in their Achievement in Physics

    Variable

    Between Within Calculated

    F Value

    Table

    ValueRemark

    SS MSV df SS MSV df

    Achievement

    in Physics2362.50 1181.25 2 800960.48 803.37 997 1.47 3.00 NS

    It is inferred from the above table that there is no significant difference among rural

    female higher secondary students studying in mathematics, science and computer sciencegroups in their achievement in physics.

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    Null Hypothesis 13

    There is no significant association between self-concept of rural female higher

    secondary students and their family monthly income.

    Table - 13.

    Association between Self-concept of Rural Female Higher Secondary Studentsand their Family Monthly Income

    Dimensions df Calculated Value Table Value Remark

    Physical 4 4.45 9.49 NS

    Social 4 0.15 9.49 NS

    Temperamental 4 4.67 9.49 NS

    Educational 4 1.43 9.49 NS

    Moral 4 11.88 9.49 S

    Intellectual 4 0.48 9.49 NS

    Self-concept in Total 4 1.99 9.49 NS

    It is inferred from the above table that there is no significant association between self-

    concept in total and its dimensions physical, social, temperamental, educational and

    intellectual self-concepts of rural female higher secondary students and their family monthly

    income. But, there is significant association between moral self-concept of rural female

    higher secondary students and their family monthly income.

    Null Hypothesis 14

    There is no significant association between social adjustment of rural female higher

    secondary students and their family monthly income.

    Table - 14.

    Association between Social Adjustment of Rural Female Higher Secondary Students

    and their Family Monthly Income

    Variable df Calculated Value Table Value Remark

    Social Adjustment 4 0.76 9.49 NS

    It is inferred from the above table that there is no significant association between

    social adjustment of rural female higher secondary students and their family monthly income.

    Null Hypothesis 15

    There is no significant association between parental encouragement of rural female

    higher secondary students and their family monthly income.Table - 15.

    Association between Parental Encouragement of Rural Female Higher Secondary Students

    and their Family Monthly Income

    Variable df Calculated Value Table Value Remark

    Parental Encouragement 4 2.11 9.49 NS

    It is inferred from above table that there is no significant association between the

    parental encouragement of rural female higher secondary students and their family monthly

    income.

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    Null Hypothesis 16

    There is no significant association between achievement in physics of rural female

    higher secondary students and their family monthly income.

    Table - 16.

    Association between Achievement in Physics of Rural Female Higher Secondary Studentsand their Family Monthly Income

    Variable df Calculated Value Table Value Remark

    Achievement in Physics 4 3.07 9.49 NS

    It is inferred from the above table that there is no significant association between

    achievement in physics of rural female higher secondary students and their family monthly

    income.

    Null Hypothesis 17

    There is no significant relationship between self-concept of rural female highersecondary students and their achievement in physics.

    Table - 17.

    Relationship between Self-concept of Rural Female Higher Secondary Students

    and their Achievement in Physics

    Dimensions N Calculated Value Table Value Remark

    Physical 1000 0.246 0.062 S

    Social 1000 0.133 0.062 S

    Temperamental 1000 -0.023 0.062 NS

    Educational 1000 -0.199 0.062 S

    Moral 1000 -0.102 0.062 SIntellectual 1000 -0.042 0.062 NS

    Self-concept in Total 1000 -0.034 0.062 NS

    It is inferred from the above table that there is no significant relationship between

    self-concept in total and its dimensions temperamental and intellectual self-concepts of

    rural female higher secondary students and their achievement in physics. But, there is

    significant relationship between physical, social, educational and moral self-concepts of rural

    female higher secondary students and their achievement in physics.

    Null Hypothesis 18

    There is no significant relationship between social adjustment of rural female higher

    secondary students and their achievement in physics.

    Table - 18.

    Relationship between Social Adjustment of Rural Female Higher Secondary Students and

    their Achievement in Physics

    Variable N Calculated Value Table Value Remark

    Social Adjustment 1000 -0.296 0.062 S

    It is inferred from the above table that there is significant relationship between social

    adjustment of rural female higher secondary students and their achievement in physics.

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    Null Hypothesis 19

    There is no significant relationship between parental encouragement of rural female

    higher secondary students and their achievement in physics.

    Table - 19.

    Relationship between Parental Encouragement of Rural Female Higher Secondary Students

    and their Achievement in Physics

    Variable N Calculated Value Table Value Remark

    Parental Encouragement 1000 -0.216 0.062 S

    It is inferred from the above table that there is significant relationship between

    parental encouragement of rural female higher secondary students and their achievement in

    physics.

    CONCLUSION

    From the analysis, it is found that the chosen psychosocial variables - physical, social,educational and moral dimensions self-concept, social adjustment and parental

    encouragement of rural female higher secondary students have significant influence on their

    achievement in physics. Hence, it is concluded that adequate care and attention for instilling

    these qualities among the rural female higher secondary students in order to develop in their

    psychological, social, emotional and economical stratum in the future.

    REFERENCES

    1. Aggarwal, Y.P. (1990) Statistical Methods, Concepts, Applications and Computations,

    Sterling Publishers Pvt. Ltd., New Delhi.

    2. Digumarti Bhaskara Rao (1996) National Policy on Education, Anmol Publications Pvt.

    Ltd., New Delhi.

    3. George Herbert Mead (1934) Mind, Self, and Society. Ed. by Charles W. Morris.

    University of Chicago Press.

    4. Rakesh Kumar (2007) Girls Education An Obligation of the State, Vista International,

    New Delhi.

    5. Sita Anantha Raman (1996) Getting Girls to School: Social Reform in the Tamil Districts,

    Sree Publishers, Calcutta.

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