Search results
Results from the WOW.Com Content Network
Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.
Social data scientists use both digitized data [22] (e.g. old books that have been digitized) and natively digital data (e.g. social media posts). [23] Since such data often take the form of found data that were originally produced for other purposes (commercial, governance, etc.) than research, data scraping, cleaning and other forms of preprocessing and data mining occupy a substantial part ...
The term p-hacking (in reference to p-values) was coined in a 2014 paper by the three researchers behind the blog Data Colada, which has been focusing on uncovering such problems in social sciences research. [3] [4] [5] Data dredging is an example of disregarding the multiple comparisons problem. One form is when subgroups are compared without ...
Social statistics is the use of statistical measurement systems to study human behavior in a social environment. This can be accomplished through polling a group of people, evaluating a subset of data obtained about a group of people, or by observation and statistical analysis of a set of data that relates to people and their behaviors.
Social data analysis can provide a new slant on business intelligence where social exploration of data can lead to important insights that the user of analytics did not envisage/explore. The term was introduced by Martin Wattenberg in 2005 [2] and recently also addressed as big social data analysis in relation to big data computing. Systems are ...
Image credits: mom_with_an_attitude According to the author of the thread, they decided to ask the question online after thinking about how societal standards change over time.
Using social data for research purposes has led to the development of computational social science. Computational social science combines social science, computer science, and network science. [28] This field emerged in 2009. [29] Before the rise of social data and the technological advances that supported it, researchers were limited to a ...
“The girls called a few days later, and said they had arrived, everything is fine and that they are being fed. But then the connection was cut off. That is the last we heard,” the nurse adds.