RURAL INDIA GENDER DIFFERENTIAL IN MOBILE PHONE USAGE
IN A DISCRIMINATE ANALYSIS APPROACH

R. Manikandan

doi:10.46609/IJSSER.2023.v08i09.035

Title: RURAL INDIA GENDER DIFFERENTIAL IN MOBILE PHONE USAGE IN A DISCRIMINATE ANALYSIS APPROACH
Authors: R. Manikandan
Journal: International Journal of Social Science and Economic Research (IJSSER) ISSN: 2455-8834 Volume: 8 Issue: 9 Publication Date: September 2023 DOI: 10.46609/IJSSER.2023.v08i09.035
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R. Manikandan Research Scholar, Department of Applied Research, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu
MLA 8 Manikandan, R. "RURAL INDIA GENDER DIFFERENTIAL IN MOBILE PHONE USAGE IN A DISCRIMINATE ANALYSIS APPROACH." Int. j. of Social Science and Economic Research, vol. 8, no. 9, Sept. 2023, pp. 2966-2972, doi.org/10.46609/IJSSER.2023.v08i09.035. Accessed Sept. 2023. APA 6 Manikandan, R. (2023, September). RURAL INDIA GENDER DIFFERENTIAL IN MOBILE PHONE USAGE IN A DISCRIMINATE ANALYSIS APPROACH. Int. j. of Social Science and Economic Research, 8(9), 2966-2972. Retrieved from https://doi.org/10.46609/IJSSER.2023.v08i09.035 Chicago Manikandan, R. "RURAL INDIA GENDER DIFFERENTIAL IN MOBILE PHONE USAGE IN A DISCRIMINATE ANALYSIS APPROACH." Int. j. of Social Science and Economic Research 8, no. 9 (September 2023), 2966-2972. Accessed September, 2023. https://doi.org/10.46609/IJSSER.2023.v08i09.035.
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ABSTRACT: A cross-sectional study was conducted to find out whether gender differential exist on mobile phone use at rural villages. A sample of 75 respondents was used in the study in Salem district. The cross-tabulation analysis of gender over age, family size, education, marital status and monthly income were analyzed. The study revealed that there is discrimination on mobile phone use among gender group in the rural village. It considered five variables namely, age, gender, education, marital status and monthly income to assess the discrimination between the male and female youths on mobile phone usage. Among the five variables, age and monthly income found to be statistically signification showing those two variables mainly causes for discrimination between male and female. Although mobile use has both positive and negative effects, it is believed to have better advantage for educational purpose and increasing awareness for decision making.

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