Key Points Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type.

Quantitative data management and analysis uses numbers in its methods, while a qualitative approach involves text. According to Norman K. Denzin and Yvonna S. Lincoln, the authors of "Handbook of ...

Conceptual Analysis determines the existence and frequency of concepts.. Here is an example to illustrate the interpretation of implicit data to determine its relevance. Explicit data: The battery ...

Key Points Discrete data is qualitative data. Continuous data is quantitative data. Simply put, discrete values ...

When discussing stock analysis, the numbers will likely be the 1st things that pop to mind. You will hear about concepts like price and earnings, return on assets, earnings before interest, taxes ...

Using MAXQDA for Qualitative Analysis. MAXQDA's intuitive interface simplifies qualitative analysis while offering advanced tools for seasoned researchers. Below is a step-by-step guide to using ...

John Willis discusses how Computer Assisted Qualitative Data Analysis and a QDA approach ... or academia, is what's called grounded theory. This is an approach where, for example, I have this data.

John Steinmetz, VP of data and analytics at Shiftkey, and Shane Murray, CTO at Monte Carlo, joined DBTA's webinar, 'Virtual Data Panel: Measuring Data Team ROI,' to discuss the strategies and tools ...

Vol. 33, No. 3 (125), Focus: Secondary Analysis of Qualitative Data / Sekundäranalyse qualitative Daten (2008), pp. 33-45 (13 pages) This paper provides an overview of secondary analysis of ...

I look forward to working with the seven startups- NWO.ai, Stylumia, Teamcore, C2RO, Datazeit, Zepl and Ubermetrics, that went through the data & analytics themed accelerator program led by SAP.iO ...