Category: Learning modules

By Priya Chetty on July 13, 2018 No Comments

Mind maps are used to brainstorm ideas and visualize thoughts. A mind map begins with a main idea around which associated elements are drawn. They are useful for representing a node hierarchy.

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By Priya Chetty on July 13, 2018 No Comments

This article explains qualitative data representation in NVivo. Visualisation takes place on attitudes or perceptions of participants on certain issues. With the use of different tools, visualisation takes place on different qualitative items of projects.

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By Avishek Majumder & Priya Chetty on July 13, 2018 No Comments

Hamlet II helps in quantitative analysis of text. It helps assess the joint occurrences or recurrence of word frequencies in a vocabulary list or in content.

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By Priya Chetty on June 15, 2018 1 Comment

Cluster analysis serves as an extension to qualitative data representation through data visualisation. It is an exploratory technique for visualising patterns in a study by grouping sources or nodes.

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This article presents the steps to perform frequency analyses which are, keyword in-context or KWIC and graphical analysis of wordlist and compare wordlist.

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By Prateek Sharma & Priya Chetty on May 4, 2018 2 Comments

Instrumental variable is a third variable that estimates causal relationships in the regression analysis when an endogenous variable is present. Instrumental variables are useful when the independent variable in the regression model correlates with the error term in the model.

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By Priya Chetty on April 29, 2018 6 Comments

After performing Autoregressive Integrated Moving Average (ARIMA) modelling in the previous article: ARIMA modeling for time series analysis in STATA, the time series GDP can be modelled through ARIMA (9, 2, 1) .

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By Yashika Kapoor & Priya Chetty on April 29, 2018 No Comments

An effect size is the magnitude or size of an effect resulting from a clinical treatment. Thus, in Comprehensive Meta Analysis (CMA), it assumes the reference of “treatment effect”.

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