 The Relationship between Theory, Scientific Explanation and Statistics in the Social SciencesLaura Ibarra Garcia A chapter in Statistics - Growing Data Sets and Growing Demand for Statistics from IntechOpen Abstract: This chapter presents the criteria that sociological explanations and theories must cover and their role in empirical research based on quantitative methods. These criteria are: (1) must regain the phenomenon's intrinsic causality; (2) must reconstruct the conditions in which a social phenomenon surges and develops, although a historical methodology is insufficient in many cases; (3) must develop a second-order observation. Empirical sociological research that resorts to the quantitative method is among first-order observations. The second-order research are those that makes the first-order observations their subject of observation, which is why sociology, unlike other sciences, is a discipline that has itself as object of study (the sociology of sociology); and (4) must separate the intentions of the actors' actions from their effects. The first-order observation based solely on establishing statistical relationships, such as those performed by sociobiology, can offer the appearance of high scientific validity. In its last part, this chapter offers an example of the need to complete or reject data with second-order theoretical observations. Keywords: theory; explanation; statistics; modern thinking; first-and second-order observation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:143707 Access Statistics for this chapter More chapters in Chapters from IntechOpen |
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