Ads
related to: quantitative analysis approach
Search results
Results from the WOW.Com Content Network
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
Quantitative analysis of behavior, quantitative models in the experimental analysis of behavior; Mathematical psychology, an approach to psychological research using mathematical modeling of perceptual, cognitive and motor processes; Statistics, the collection, organization, analysis, interpretation and presentation of data
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.
Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. [2] In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. [1] More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference."
For quantitative analysis, data is coded usually into measured and recorded as nominal or ordinal variables.. Questionnaire data can be pre-coded (process of assigning codes to expected answers on designed questionnaire), field-coded (process of assigning codes as soon as data is available, usually during fieldwork), post-coded (coding of open questions on completed questionnaires) or office ...
For non-probabilistic approaches, interval analysis, [15] Fuzzy theory, Possibility theory and evidence theory are among the most widely used. The probabilistic approach is considered as the most rigorous approach to uncertainty analysis in engineering design due to its consistency with the theory of decision analysis.
Quantitative research requires skills of data-analysis and several techniques of statistic reasoning, while qualitative research is rooted in in-depth observation, comparative thinking, interpretative skills and interpersonal ability. None of the approaches is easier to master than the other, and both require specific expertise, ability and skills.
Ads
related to: quantitative analysis approach