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Thus, it is better to understand this not as a debate but as two different arguments: the "antipositivist" articulation of a social meta-theory which includes a philosophical critique of scientism, and "positivist" development of a scientific research methodology for sociology with accompanying critiques of the reliability and validity of work ...
Pragmatic validity in research looks to a different paradigms from more traditional, (post)positivistic research approaches. It tries to ameliorate problems associated with the rigour-relevance debate, and is applicable in all kinds of research streams.
Logical positivism, also known as logical empiricism or neo-positivism, was a philosophical movement, in the empiricist tradition, that sought to formulate a scientific philosophy in which philosophical discourse would be, in the perception of its proponents, as authoritative and meaningful as empirical science.
Postpositivism is the name D.C. Phillips [3] gave to a group of critiques and amendments which apply to both forms of positivism. [3] One of the first thinkers to criticize logical positivism was Karl Popper. He advanced falsification in lieu of the logical positivist idea of verificationism. [3]
The new methodological approaches of the processual research paradigm include logical positivism (the idea that all aspects of culture are accessible through the material record), the use of quantitative data, and the hypothetico-deductive model (scientific method of observation and hypothesis testing).
In general terms, positivism rejected the Classical Theory's reliance on free will and sought to identify positive causes that determined the propensity for criminal behaviour. The Classical School of Criminology believed that the punishment against a crime, should in fact fit the crime and not be immoderate.
In social science, antipositivism (also interpretivism, negativism [citation needed] or antinaturalism) is a theoretical stance which proposes that the social realm cannot be studied with the methods of investigation utilized within the natural sciences, and that investigation of the social realm requires a different epistemology.
Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...