Archives

By Ashni walia & Priya Chetty on January 21, 2020 No Comments

Case studies involve the examination of a person, place, events or any phenomena in order to extrapolate the key themes. The results help the researcher to predict future trends and illuminate previously hidden issues that can be applied in practice.

 
By Ashni walia & Priya Chetty on October 10, 2019 No Comments

To identify the strategies adopted by e-commerce businesses the study adopts a mix method that includes interview and survey methods.

 ,
By Ashni walia & Priya Chetty on October 7, 2019 No Comments

Interview questions are generally designed differently depending on the need of being addressed and the information required.

 , ,
By Divya Dhuria & Priya Chetty on June 29, 2017 No Comments

Qualitative data can be analysed both manually and through Computer Assisted Qualitative Data Analysis Software (CAQDAS). But, given the vastness of data and systematic & rigorous preparation needed, the latter is overpowering the former.

 ,
By Divya Dhuria & Priya Chetty on June 12, 2017 No Comments

Nvivo is a computer assisted qualitative data analysis software (CAQDAS) used for organizing and analyzing unstructured data set.

 ,
By Priya Chetty on September 7, 2016 19 Comments

Quantitative research main purpose is the quantification of the data. It allows generalisations of the results by measuring the views and responses of the sample population. Every research methodology consists two broad phases namely planning and execution (Younus 2014).

 , ,
By Priya Chetty on August 12, 2016 3 Comments

Measurement is a replicable and systematic process through which an object or instrument is quantified or classified as in the field of social science that deals with quantification of behaviour. In this case determining validity of the measuring instrument (questionnaire) holds utmost importance (Drost 2011).

 , ,
By Priya Chetty on February 4, 2015 7 Comments

Factor analysis is used to find factors among observed variables. In other words, if your data contains many variables, you can use factor analysis to reduce the number of variables.

 , , ,