Quantitative Data Gathering and Analysis
Quantitative data is all about numbers. While generally qualitative data is perceived to produce better results for user experience design, quantitative data can also provide valuable information and combining these two methods would provide values measures to improve user experience on the whole.
The readings suggest methods to create user studies using quantitative data. Quantitative data is data that can be measured and noted down with numbers. Generally quantitative data is used when we need to compare two scenarios for example, how much time does it take a user to get from point A to B, how much distance does a user need to travel before completing a task.
The papers talk about about ANOVA, t-sets and regression which are ways to analyze quantitative data. With the help of mathematical and statistical relationships and averages this data would be useful and provides for a way to solidify assumptions from qualitative analysis.
Methods for quantitative data are to start with data collection, the large quantities of data being collected is put into parts and individually discussed. Later the bigger picture of all these components are analyzed. These could provide in depth data about certain aspects of consideration.
Based on these readings I have to a conclusion that relying on just one type of data collection method wont work. Its necessary to analyze the situation take decisions on what type of data would suit better in the research/study. Also, one should not feel restricted to explore using both data gathering methods in the same overall study.
Reference
Lazar, J., Feng, J. H., Hocheiser, H. Research Methods in Human-Computer Interaction, Wiley:
Statistical Analysis (p69–96)
Analyzing Qualitative Data (p281–303)
