Resources
Given that more than 4 million podcasts exist today and the creation of rich cutting-edge methodologies, such as podcast ethnography, this digital form is well worth qualitative researchers' attention. By using podcast interviews as a data collection and research tool for qualitative research, the researcher explores how to implement, broadcast, and analyze podcast interviews in […]
Changes in the fiscal rules governing energy development projects often introduce uncertainties and risks, especially with respect to cash flow expectations. Investors and government representatives often build deterministic discounted cash flow models to simulate their respective cash receipts. However, these models leave significant uncertainties unquantified. In this webinar, we will demonstrate the use of Monte […]
If you’ve struggled with aligning tasks from different calendars or conducting risk analysis on non-classical calendar schedules, the updated ScheduleRiskAnalysis for probabilistic project schedules in Excel is here for you! Project managers in energy and construction are in a constant battle to align unique project calendars with their varying tasks to properly conduct risk analysis. […]
Application of PrecisionTree (Decision trees in Excel) Pharmaceutical companies can use PrecisionTree (part of the DecisionTools Suite that creates multi-phase decision trees) to investigate the best clinical trial sequencing pathway for a novel drug in pursuit of multiple potential diseases (indications). They can then conduct sensitivity analysis to the dominant decision, determine the maximum cost […]
Remarkably, a sample can both (i) give us a guide to the population and (ii) tell us how much uncertainty that guide involves. The uncertainty is difficult to interpret. In null hypothesis testing (NHST) the uncertainty means that we cannot be sure that a significant result is not a false discovery or that a non-significant […]
Hear from Dr. Yulia Levites on key considerations for your research grant During a recent webinar with Dr. Yulia Levites, Assistant Professor Health Services, Research, Management, and Policy at University of Florida, she discussed how to approach and build an effective grantsmanship for funding research. Here, we’ll highlight her recommendations for submitting your funding proposal. […]
Qualitative data analysis is an essential aspect of many research projects. However, the term "qualitative data" can mean different things to different people, depending on their field of study and the methods they use. Structured data is often used by statisticians and allows for the categorization and ranking of data. Unstructured data comes from sources […]
In this webinar, Shimrit Keddem, PhD and Gabriela Khazanov, PhD will review different methods of meta-synthesis of qualitative studies and discuss an example of a recent article in which they used thematic meta-synthesis to derive common themes across 18 studies on stakeholder perceptions of lethal means counseling for firearms. This webinar will also review ways […]
Revolutionizing Business Innovation with NVivo When gathering qualitative data, it’s often hard to determine the emotional undertones of the messages. In the financial industry in particular, it’s critical to understand the true overall feelings of the market through articles, social media, and other consumer platforms when it comes to things like the financial state of […]
Developing a literature review is one of the most important — and difficult — components of the research process. A well-executed literature review helps you determine the direction and design of your research, uncovers gaps in current knowledge, and helps you understand different theoretical frameworks for your topic – all crucial steps before starting your […]
Forecasts of energy demand are required as a critical input for resource planning including the optimization of energy systems. Uncertainties are introduced by the traditional approaches to demand forecasting such as assumed growth factors, the use of econometric models, or deterministic time series models. These uncertainties impact the recommended resource allocation strategy.