Aristotle was the first philosopher to define the term thesis.
Leave a reply Triangulation: Triangulation can be defined as a combination of different methods, study groups, local and temporal settings and different theoretical perspective in dealing with a phenomenon.
It helps the researcher to describe and formalize the relationship between qualitative and quantitative research. It is also helpful for the researcher to promote the quality of qualitative research study. It helps the researcher to maintain the authenticity and validity of research because it is a multi method approach.
Triangulation is also helpful for the researcher to gather maximum data and information with minimum cost and time Flick There are four types of triangulation that are used by the researcher to accomplish a research study in effective manner such as data triangulation, investigator triangulation, theory triangulation and methodological triangulation.
In order to accomplish this study, researcher has used two types of triangulation such as data and methodological triangulation. These two types of triangulation help the researcher to analyze primary as well as secondary data and information for better results.
Researcher chooses data triangulation because it refers to the use of different data sources such as books, articles, journals, newspaper, and personal experience etc. It helps researcher to analyze data and information that is related to the topic and find out conclusion and outcomes.
Share this with your friends.ACM India is pleased to announce the winners of the ACM India Student Chapter Awards. We invited nominations from ACM Student Chapters from India, for the best and runner-up ACM India student chapter award to be given at the ACM India Annual Event in February..
The participating chapters sent a report with details of their activities. You must explain how you obtained and analyzed your results for the following reasons: Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance.
Your dissertation data analysis section consists of the following sections: An overview consisting a brief about the purpose of the study how the research was conducted, and description of the data types, data collection instruments used and any assumptions made during the study.
I. Thesis structure Title Page Title (including subtitle), author, institution, department, date of delivery, research mentor(s) and advisor, their instututions and email adresses.
ashio-midori.com: Surviving Your Dissertation: A Comprehensive Guide to Content and Process (): Kjell Erik Rudestam, Rae R. Newton: Books. Practical Assessment, Research & Evaluation, Vol 14, No 13 Page 2 Randolph, Dissertation Literature Review framework for the self-evaluation of literature reviews.