Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

In the dynamic landscape of data analysis, understanding the nuances of descriptive, diagnostic, predictive, and prescriptive analysis is paramount. Data permeates every sector, from retail to ...

Elizabeth Gage Bouchard, PhD Senior Vice President for Community Outreach and Engagement Professor of Oncology, Department of Cancer Prevention and Control Roswell Park Comprehensive Cancer Center ...

AI did more than simply replicate existing methods. By handling both the clustering of themes and their interpretation, AI ...

The challenges posed by the modern economic and business climate mean that companies must be ready to cope with change. Change can affect business strategy, operations, marketing, technology and more.

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

In recent years, a movement to make research more transparent has taken root in the social sciences. Public institutions and private organizations of all types champion transparency, and publishers ...

Data is a thorny subject. For a start, we’re not sure how we are supposed to refer to it, that is - data is the plural of datum. Strictly speaking we should talk about data that ‘are’ not ‘is’ ...

The analysis of data from any research project seeks to answer the research question which was set out at the beginning of the project. As discussed in previous articles in this series the research ...