Resources

Resource Library

Jan. 5, 2023
Organizing Information in your Field of Study
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Jan. 4, 2023
Situational Analysis Extending Grounded Theory
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Jan. 3, 2023
Qualitative Data Analysis Beyond the Interview
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Jan. 2, 2023
Guide on How to Structure a Thesis, Report or Paper
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Jan. 2, 2023
Hedge Against Volatile Oil Prices Using Monte Carlo Simulation

Updated: Sept. 1, 2023 The escalation of Russian’s invasion of Ukraine and the ongoing response to the COVID-19 pandemic contributed to crude oil price volatility and a surge to over $130 a barrel in the spring of 2022. These high levels for oil prices, which have not been seen since 2008, occurred just two years […]

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Jan. 1, 2023
Coding the Real World: What is real world evidence in health and why is NVivo critical?
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Dec. 27, 2022
Emergent Analysis: Strategies for Making Sense of an Evolving Longitudinal Study
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Dec. 9, 2022
Educational Change and Teacher Preparation for a Changing World
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Dec. 5, 2022
NVivo Podcast Ep 47: Post-Intentional Phenomenology

Between the Data Episode 47: Post-Intentional Phenomenology: Considerations and Principles Social science researchers have long utilized phenomenological research methodologies in their qualitative research to study consciousness from direct experience. While this approach to the human experience offers significant insight, it can miss contextual data due to ignoring the environment of the experience itself. The complexity […]

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Dec. 1, 2022
Cost Estimating: Triangular vs PERT

Continuing with this series of articles introducing cost estimating with @RISK, we will compare the use of the most popular distributions of this technique: the Triangular and the PERT. We know that cost estimation is one of the most critical parts of project management. In addition, we know that three-point estimation – with PERT or […]

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Nov. 25, 2022
Teacher Education the Right Way: Designing Field Placements that Work
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Nov. 11, 2022
Announcing ScheduleRiskAnalysis for Project Schedules in the DecisionTools Suite!

Manage uncertainty in project schedules like never before with Monte Carlo simulation. Perform risk analysis on Primavera P6 or Microsoft Project models in the @RISK for Excel environment. Answer questions like “Will this project finish on time?” or “Will we be within budget?”.

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