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Apr. 23, 2019
Portfolio Optimization Part II: An Overview of Markowitz-related Approaches

This entry follows on from Part I, describing portfolio optimization for portfolios where the expected return and standard deviation are sufficient to describe the decision-makers’ risk profile (i.e. the criteria to be used in deciding what is meant by “optimal”). There are several ways to calculate this optimal or “Efficient” Frontier: Use Lumivero’s Evolver (optimization add-in […]

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Mar. 19, 2018
What's new in NVivo 12

The new NVivo 12 is here, and I’m very excited to share with you all the new features and improvements that are available across both Windows and Mac, that will enhance your research experience and allow you to do more of what you want to do with NVivo. We’ve heard your feedback about particular aspects […]

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May. 23, 2017
A roadmap for setting up cases in NVivo

Cases and their attributes are powerful features in NVivo. They facilitate comparisons between your research participants (or other entities) and can reveal patterns and insight in your data. This post helps you assess whether cases would be useful for your project and provides a roadmap for setting them up. A sample scenario Let’s say you’ve […]

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Apr. 25, 2017
Are You Really Listening? Tips For Conducting Qualitative Interviews

As a qualitative researcher, you wear many hats. For any given project, you need to: Read widely and have a thorough grasp on what’s happening in your field Understand and choose between research methodologies Come up with a focused yet flexible research question Manage the paper-work involved in getting research approved Organize a timetable and […]

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May. 20, 2014
How to quantify qualitative data: what is the significance of your data?

NVivo allows you to create diagrams from your data - a picture emerges of different categories and nodes and how they relate to each other. Coding queries give you insight into the sort of data you have so that you begin to understand what may be worthy of further examination. Matrix coding queries then allow […]

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Dec. 29, 2008
Monte Carlo Simulation Provides Advantages in Six Sigma

First of all, what is Monte Carlo simulation? Monte Carlo simulation is a computerized mathematical technique that allows people to account for variability in their process to enhance quantitative analysis and decision making. The technique is used by professionals in such widely disparate fields as finance, project management, energy, manufacturing, engineering, research and development, insurance, […]

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