Maximilian Karl Emil Weber was a German sociologist, historian, jurist and political economist, who is regarded as among the most important theorists of the development of modern Western society. His ideas profoundly influence social theory and research. While Weber did not see himself as a sociologist, he is recognized as one of the fathers of sociology, along with Karl Marx and Émile Durkheim.
Causality (also referred to as causation, or cause and effect) is influence by which one event, process, state, or object (acause) contributes to the production of another event, process, state, or object (an effect) where the cause is partly responsible for the effect, and the effect is partly dependent on the cause. In general, a process has many causes, which are also said to be causal factors for it, and all lie in its past. An effect can in turn be a cause of, or causal factor for, many other effects, which all lie in its future. Some writers have held that causality is metaphysically prior to notions of time and space.
The phrase "correlation does not imply causation" refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them. The idea that "correlation implies causation" is an example of a questionable-cause logical fallacy, in which two events occurring together are taken to have established a cause-and-effect relationship. This fallacy is also known by the Latin phrase cum hoc ergo propter hoc. This differs from the fallacy known as post hoc ergo propter hoc, in which an event following another is seen as a necessary consequence of the former event, and from conflation, the errant merging of two events, ideas, databases, etc., into one.
Social research is a research conducted by social scientists following a systematic plan. Social research methodologies can be classified as quantitative and qualitative.
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. It is formed from a deductive approach where emphasis is placed on the testing of theory, shaped by empiricist and positivist philosophies.
In statistics, a spurious relationship or spurious correlation is a mathematical relationship in which two or more events or variables are associated but not causally related, due to either coincidence or the presence of a certain third, unseen factor.
The Protestant Ethic and the Spirit of Capitalism is a book written by Max Weber, a German sociologist, economist, and politician. Begun as a series of essays, the original German text was composed in 1904 and 1905, and was translated into English for the first time by American sociologist Talcott Parsons in 1930. It is considered a founding text in economic sociology and a milestone contribution to sociological thought in general.
Ideal type, also known as pure type, is a typological term most closely associated with sociologist Max Weber (1864–1920). For Weber, the conduct of social science depends upon the construction of abstract, hypothetical concepts. The "ideal type" is therefore a subjective element in social theory and research, and one of the subjective elements distinguishing sociology from natural science.
Sociology as a scholarly discipline emerged, primarily out of Enlightenment thought, as a positivist science of society shortly after the French Revolution. Its genesis owed to various key movements in the philosophy of science and the philosophy of knowledge, arising in reaction to such issues as modernity, capitalism, urbanization, rationalization, secularization, colonization and imperialism.
The philosophy of social science is the study of the logic, methods, and foundations of social sciences. Philosophers of social science are concerned with the differences and similarities between the social and the natural sciences, causal relationships between social phenomena, the possible existence of social laws, and the ontological significance of structure and agency.
Structural equation modeling (SEM) is a label for a diverse set of methods used by scientists in both experimental and observational research across the sciences, business, and other fields. It is used most in the social and behavioral sciences. A definition of SEM is difficult without reference to highly technical language, but a good starting place is the name itself.
Suicide: A Study in Sociology is an 1897 book written by French sociologist Émile Durkheim. It was the first methodological study of a social fact in the context of society. It is ostensibly a case study of suicide, a publication unique for its time that provided an example of what the sociological monograph should look like.
Integrative criminology reacts against single theory or methodology approaches, and adopts an interdisciplinary paradigm for the study of criminology and penology. Integration is not new. It informed the groundbreaking work of Merton (1938), Sutherland (1947), and Cohen (1955), but it has become a more positive school over the last twenty years.
In the philosophy of science, a causal model is a conceptual model that describes the causal mechanisms of a system. Causal models can improve study designs by providing clear rules for deciding which independent variables need to be included/controlled for.
Comparative historical research is a method of social science that examines historical events in order to create explanations that are valid beyond a particular time and place, either by direct comparison to other historical events, theory building, or reference to the present day. Generally, it involves comparisons of social processes across times and places. It overlaps with historical sociology. While the disciplines of history and sociology have always been connected, they have connected in different ways at different times. This form of research may use any of several theoretical orientations. It is distinguished by the types of questions it asks, not the theoretical framework it employs.
Causal reasoning is the process of identifying causality: the relationship between a cause and its effect. The study of causality extends from ancient philosophy to contemporary neuropsychology; assumptions about the nature of causality may be shown to be functions of a previous event preceding a later one. The first known protoscientific study of cause and effect occurred in Aristotle's Physics. Causal inference is an example of causal reasoning.
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Typically it involves establishing four elements: correlation, sequence in time, a plausible physical or information-theoretical mechanism for an observed effect to follow from a possible cause, and eliminating the possibility of common and alternative ("special") causes. Such analysis usually involves one or more artificial or natural experiments.
The Bradford Hill criteria, otherwise known as Hill's criteria for causation, are a group of nine principles that can be useful in establishing epidemiologic evidence of a causal relationship between a presumed cause and an observed effect and have been widely used in public health research. They were established in 1965 by the English epidemiologist Sir Austin Bradford Hill.
Causal inference is the process of determining the independent, actual effect of a particular phenomenon that is a component of a larger system. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed. The science of why things occur is called etiology. Causal inference is said to provide the evidence of causality theorized by causal reasoning.
Causal analysis is the field of experimental design and statistics pertaining to establishing cause and effect. Exploratory causal analysis (ECA), also known as data causality or causal discovery is the use of statistical algorithms to infer associations in observed data sets that are potentially causal under strict assumptions. ECA is a type of causal inference distinct from causal modeling and treatment effects in randomized controlled trials. It is exploratory research usually preceding more formal causal research in the same way exploratory data analysis often precedes statistical hypothesis testing in data analysis
