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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]
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.
The AEA maintains EconLit, a searchable data base of citations for articles, books, reviews, dissertations, and working papers classified by JEL codes for the years from 1969. A recent addition to EconLit is indexing of economics journal articles from 1886 to 1968 [ 1 ] parallel to the print series Index of Economic Articles .
For example, descriptive statistics is a method of data analysis, radiocarbon dating is a method of determining the age of organic objects, sautéing is a method of cooking, and project-based learning is an educational method. The term "technique" is often used as a synonym both in the academic and the everyday discourse.
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 ...
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 ...
A list of articles relating to quantitative research methods. This category is often contrasted with qualitative research . Wikimedia Commons has media related to Quantitative research .
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]