• Prof. Dr. Punam Y. Choudhary

Social Research carries specific significance in decision making for the society or population understudy. The findings based on data collected are indicators of social behavior. The data so obtained needs to be properly analyzed using appropriate method . Statistical tests are applicable to quantitative data only. However, the data evolved in social Research are not always of numeric nature. Qualitative studies are also involved in social research. The popularly used scoring method for qualitative data is Likert’s Five point scale method in which five alternatives are provided and these alternatives are scored 1,2,3,4 and 5 as such the numeric or quantitative data, However its qualitative characteristic due to scores assigned. Statistical tests are broadly classified as Parametric tests and Non -Parametric tests. Parametric tests are based on the assumption of normality, while non-parametric tests do not have any strict assumption. These tests are known as distribution free test, where in no strict assumption on normality made. If the distribution from which a sample is drawn is badly skewed or non-normal, for small sample parametric test will not yield meaningful results. Statisticians have devised alternative procedures which can be used in hypothesis testing for non-normal data are called as non-parametric tests or distribution free tests. The technique of non parametric analysis was formulated in 1900. Karl Pearson and others have laid down the different test procedures for qualitative data analysis in social research.

Analytical Methods for Qualitative Data in Social Research.

"Analytical Methods for Qualitative Data in Social Research.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.163-164, April-2024, Available :http://www.jetir.org/papers/JETIRGF06041.pdf

"Analytical Methods for Qualitative Data in Social Research.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. pp163-164, April-2024, Available at : http://www.jetir.org/papers/JETIRGF06041.pdf