Search results
Results from the WOW.Com Content Network
However, it has been argued that measurement often plays a more important role in quantitative research. [12] For example, Kuhn argued that within quantitative research, the results that are shown can prove to be strange. This is because accepting a theory based on results of quantitative data could prove to be a natural phenomenon.
In the article by Freed, [5] the need for programs within the educational system to help students develop these skills is demonstrated. [2] Workers "will need more than elementary basic skills to maintain the standard of living of their parents. They will have to think for a living, analyse problems and solutions, and work cooperatively in teams".
Intelligence testing has long been an important branch of quantitative psychology. The nineteenth-century English statistician Francis Galton, a pioneer in psychometrics, was the first to create a standardized test of intelligence, and he was among the first to apply statistical methods to the study of human differences and their inheritance.
Author Jonathan Koomey has recommended a series of best practices for understanding quantitative data. [60] These include: Check raw data for anomalies prior to performing an analysis; Re-perform important calculations, such as verifying columns of data that are formula driven; Confirm main totals are the sum of subtotals;
Important advantages of quantitative methods include precision and reliability. However, they have often difficulties in studying very complex phenomena that are commonly of interest to the social sciences.
Quantitative linguistics is an area of linguistics that relies on quantification. For example, [ 7 ] indices of grammaticalization of morphemes , such as phonological shortness, dependence on surroundings, and fusion with the verb, have been developed and found to be significantly correlated across languages with stage of evolution of function ...
Quantitative analysis is the use of mathematical and statistical methods in finance and investment management. Those working in the field are quantitative analysts (quants). Quants tend to specialize in specific areas which may include derivative structuring or pricing, risk management, investment management and other related finance occupations.
The set of basic statistical skills (and skepticism) that people need to deal with information in their everyday lives properly is referred to as statistical literacy. There is a general perception that statistical knowledge is all-too-frequently intentionally misused by finding ways to interpret only the data that are favorable to the ...