Category: Learning modules

By Divya Dhuria & Priya Chetty on June 30, 2017 No Comments

Nvivo comprises of three separate windows with the ‘ribbon’ below containing additional tools. The ribbon represents Quick Access toolbar (just like MS Excel).

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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.

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By Divya Dhuria & Priya Chetty on June 16, 2017 No Comments

As pointed out in the Auto-Coding article, the process has its own set of issues and limitations, which might create certain obstacles in the nodes created and therefore needs to be taken care of.

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By Divya Dhuria & Priya Chetty on June 16, 2017 No Comments

Earlier we discussed about creating nodes  which acts as ‘sticky notes’ denoting particular themes or topics common across the qualitative data.

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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.

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By Indra Giri & Priya Chetty on May 14, 2017 No Comments

R software has plenty of packages and is unique in handling big data. Therefore it can handle both the structured and unstructured data. This makes it suitable for big data analysis also.

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By Avishek Majumder on May 12, 2017 6 Comments

Data envelopment analysis (DEA) is the most commonly used program for this purpose (Coelli, 2008). Tim Coelli from of University of New England (Centre for Efficiency and Productivity Analysis, Department of Econometrics, Australia) had uploaded the program in DOS based command which is in a zipped format along with guidelines on how to use it.

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By Indra Giri & Priya Chetty on March 14, 2017 6 Comments

The normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.

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