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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.
Robert Haugen, (1942–2013) US financial economist and a pioneer in the field of quantitative investing and low-volatility investing. Thomas Ho, author of the Ho–Lee model and key rate duration. John C. Hull, noted for the Hull–White model. Jonathan E. Ingersoll, (born 1949), one of the authors of the Cox–Ingersoll–Ross model of the ...
The quantitative data collection methods rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. These methods produce results that can be summarized, compared, and generalized to larger populations if the data are collected using proper sampling and data collection ...
Content analysis is the study of documents and communication artifacts, which might be texts of various formats, pictures, audio or video. Social scientists use content analysis to examine patterns in communication in a replicable and systematic manner. [1]
Regardless of the field of or preference for defining data (quantitative or qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the likelihood of errors .
The latter offers an articulate method of collecting, classifying, and analyzing data using five possible angles of analysis (at least three) to maximize the research's objectivity and permit an understanding of the phenomena under investigation as complete as possible: qualitative and quantitative methods, literature reviews (including ...
The scientific method is a quantitative approach that aims at obtaining numerical data. This data is often described using mathematical formulas. The goal is usually to arrive at some universal generalizations that apply not just to the artificial situation of the experiment but to the world at large.
The method, if it can be called that, is dictated by the capability of the tool". [10] In a similar vein, Stephen Marche focuses on the prospects for interpretation within the framework of computational literary analysis in an article which begins with the provocation, "[b]ig data is coming for your books". [11]