This section deals with the relationship of some selected characteristics of the respondents and the impact of microcredit programs on women empowerment towards “An Empirical Analysis of Women Empowerment Through Microcredit Program”. was measured by testing the following null hypothesis “there is no relationship between characteristics of respondents and the impact of microcredit programs” and alternative hypothesis is ‘there is relationship between these variables. Pearson’s product moment Co-efficient of Correlation (r) was used to explore the relationship between eight selected characteristics of the respondents with the impact of microcredit programs on women empowerment.
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Table 4.11 Co-efficient of Correlation (r) showing relationship between the respondents’ selected characteristics and the impact of micro-credit programs on women empowerment
Selected characteristics of the respondents
(Independent variable)
Correlation Co-efficient (r) with (Dependent variable)
Standard deviation
Significant at (2-tailed test, df=84) 0.05 level 0.01 level
Age 0.127* 0.232
1.96 2.56
Family size -0.078* 0.061
Education 0.145* 0.001
Occupation 0.003 0.003
Annual income of family 0.158* 0.084
Duration of involvement with micro-credit program
0.169* 0.023
Credit received amount -0.085* 0.008
Self-perception of respondents 0.253* 0.002
* =Significant at the 0.05 level ** = Significant at the 0.01 level
Age of the respondents and the impact of microcredit on women empowerment The calculated value of correlation co-efficient (r) between these two variables was 0.127 as shown in table 4.10. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 2.56 and 5% level with 84 df is 1.96. The computed value of r =0.127 was found to be less than the tabulated value with 84 degrees of freedom at 0.05 level of probability. Thus, the relationship was statistically significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted.
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On the basis of above findings, it could be concluded that age of the women borrowers had a positive relation with the impact of microcredit programs on women empowerment.
Family size and the impact of microcredit programs on women empowerment The calculated value of correlation co-efficient (r) between these two variables was -0.078 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A negative trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r =- 0.078 was found to be less than the tabulated value with 84 degrees of freedom at 0.01 level of probability. Thus, the relationship was statistically significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that family size of the women borrowers had a negative relation with the impact of microcredit programs on women empowerment.
Education and the impact of microcredit programs on women empowerment
The calculated value of correlation co-efficient (r) between these two variables was 0.145 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r =0.145 was found to be less than the tabulated value with 84 degrees of freedom at 0.05 level of probability. Thus, the relationship was statistically significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that education of women borrowers had a positive relation with the impact of microcredit programs on women empowerment.
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Occupation and the impact of microcredit programs on women empowerment The calculated value of correlation co-efficient (r) between these two variables was 0.003 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r =0.003 was found to be less than the tabulated value with 84 degrees of freedom at 0.05 level of probability. Thus, the relationship was statistically not significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that occupation women borrowers had no relation with the impact of microcredit programs on women empowerment.
Average annual income of family and the impact of microcredit programs
The calculated value of correlation co-efficient (r) between these two variables was 0.158 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r =0.158 was found to be less than the tabulated value with 84 degrees of freedom at 0.05 level of probability. Thus, the relationship was statistically significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that annual income of family of respondents had a positive relation with the impact of microcredit programs on women empowerment.
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Duration of involvement with programs and the impact of microcredit programs The calculated value of correlation co-efficient (r) between these two variables was 0.169 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r =0.169 was found to be less than the tabulated value with 84 degrees of freedom at 0.05 level of probability. Thus, the relationship was statistically significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that duration of involvement with programs had a positive relation with the impact of microcredit programs on women empowerment.
Credit received amount by respondents and the impact of microcredit programs The calculated value of correlation co-efficient (r) between these two variables was -0.085 as shown in table 4.14. On the basis of the observed “r” values, following inferences were made regarding relationship between these variables:
A positive trend of relationship was observed between these two concerned variables 1%
level with 84 df is 0.256 and 5% level with 84 df is 0. 196.The computed value of r = - 0.085 was found to be less than the tabulated value with 84 degrees of freedom at 0.01 level of probability. Thus, the relationship was statistically not significant. So, the null hypothesis was rejected and the alternative hypothesis was accepted. On the basis of above findings, it could be concluded that credit received amount by women borrowers had a negative relation with the impact of microcredit programs on women empowerment.