Data Analysis and Interpretation

Resource Person: Mr. Prasenjit Saha

Program Duration: 11.00 _am – 5.00 _pm

Date: 14^th August, 2021

Venue: Online

Participants: 12

Objectives:

• To enable faculty to harness their understanding towards finding the authentic data source for their study and the appropriate method for interpretation

Description:
Dr. Sonali Saha welcomed the Resource person Mr. Prasenjit Saha, Project Director -Market Xcel Data Matrix and all the participants. The session started with introducing the participants briefly about the secondary data and what are authentic sources to collect the secondary data. It can be Government Publications, Public records, Historical and statistical Documents, Business Documents, Technical and Trade journals.

Retail spaces, Industrial-use buildings and warehouses.

The session also included on how to develop research questions. One needs to identify the enablers and or constraining factors and what is the association between the variable. This would help build research questions. The next step is to identify the dataset and then evaluating them.

Mr. Prasenjit Saha spoke about the following evaluative steps should be followed in order to determine the appropriate match of a dataset to a research investigation and ensure congruency, quality of the primary study and the resulting dataset:

1. What was the purpose of this study?
2. Who was responsible for collecting the information?
3. What information was actually collected?
4. When was the information collected?
5. How was the information obtained?
6. How consistent is the information obtained from one source with information available from other sources

He then explained that Secondary data analysis provides many opportunities for furthering research through replication, re-analysis and re-interpretation of existing research. It provides researchers with opportunities to engage in work to test new ideas, theories, frameworks, and models of research design.

Talking about methodological considerations when utilizing existing data to investigate new research questions and generate new knowledge he said that the most recognized limitation to the secondary data analysis method approach is “inherent in its nature” in that the data were collected for some other purpose. Since the data were not collected to answer the researcher’s specific research questions issues can arise. Hence, the special care should be taken from that. The specific information that the researcher would like to have may not have been collected; or data may not have been collected in the geographic region of interest, in the years the researcher would have chosen, or on the specific population that is the

Ms. Geetika Jha, Assistant Professor thanked the resource person and all the participants present.