Session 1: Dr. Sanjay Kumar
Sampling in Social Science Research
The first session was on ‘Sampling in Social Science Research’. Prof. Sanjay Kumar, Professor and currently Director of the Centre for the Study of Developing Societies discussed methods of sample collection in research process and their relevance. He stressed that sampling which otherwise is often mistaken for an easy task actually demands utmost care and sincerity. Other than sampling, he also enlightened the participants about the different types of variables and their appropriate utilization. He made use of the recent Lok Sabha elections of India as a relevant example to substantiate his arguments. In addition to this he also illustrated about data tabulation methods.
Session 2: Prof. Abhay Indrayan
Correlation and Regression Analysis
Prof. Abhay Indrayan, Former Professor of the Biostatics and Medical Informatics at Delhi University College of Medical Sciences, Delhi carried further the discussion of quantitative analysis by talking on ‘Correlation and Regression Analysis’ in Hypothesis. He said that one has to take utmost care in making correlation between two variables. It should be logical. He mentioned that sampling should be carried out carefully otherwise the conclusions will be misleading. Since every research has future concerns, so think wisely and make hypothesis near to reality. He drew special attention on regression and said it is of two types i.e, Linear and Non-Linear.
Session 3: Prof. Saima Saeed
Content and Textual Analysis in Communication
After these two sessions on quantitative analysis, the third session of the day was on ‘Content and Textual Analysis in Communication’. Prof. Saima Saeed from Centre for Culture, Media and Governance discussed the differences between content and textual analysis through various case studies. Content analysis is a technique that should be applied when one has a large sample for instance when a comparative analysis of various newspapers or television channels is carried out, whereas textual analysis ideally should be applied in a situation where the sampling size is relatively small such as analysing a news show of two hours or so. Content analysis is flexible and claims to be objective when compared to textual analysis. Here objectivity is seen in terms of the selection of sample. Content analysis generally brings out huge amount of data tables and charts based on which one can further carry out a qualitative analysis. Textual analysis focuses more on power relations and larger social structure. It helps one to understand how social structure gets reproduced in media texts.
Session 4: Gayatri
Gayatri from CSDS made the presentation on Statistical Violation in the last session of the day. She suggested the participants that whoever is going for a quantitative analysis must consult a statistician right from the beginning of the research.
Text: Dr. Kusum Lata