Causality is an 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 at least partly responsible for the effect, and the effect is at least partly dependent on the cause. The cause of something may also be described as the reason for the event or process.
A case study is an in-depth, detailed examination of a particular case within a real-world context. For example, case studies in medicine may focus on an individual patient or ailment; case studies in business might cover a particular firm's strategy or a broader market; similarly, case studies in politics can range from a narrow happening over time like the operations of a specific political campaign, to an enormous undertaking like world war, or more often the policy analysis of real-world problems affecting multiple stakeholders.
Social research is 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.
Comparative Politics is a field in Political Science characterized either by the use of the comparative method or other empirical methods to explore politics both within and between countries. Substantively, this can include questions relating to political institutions, political behavior, conflict, and the causes and consequences of economic development. When applied to specific fields of study, Comparative Politics may be referred to by other names, such as comparative government.
Barrington Moore Jr. was an American political sociologist, and the son of forester Barrington Moore.
Theda Skocpol is an American sociologist and political scientist, who is currently the Victor S. Thomas Professor of Government and Sociology at Harvard University. She is best known as an advocate of the historical-institutional and comparative approaches, as well as her "state autonomy theory". She has written widely for both popular and academic audiences. She has been President of the American Political Science Association and the Social Science History Association.
States and Social Revolutions: A Comparative Analysis of France, Russia and China is a 1979 book by Theda Skocpol, published by Cambridge University Press, that examines the causes of social revolutions.
Historical institutionalism (HI) is a new institutionalist social science approach that emphasizes how timing, sequences and path dependence affect institutions, and shape social, political, economic behavior and change. Unlike functionalist theories and some rational choice approaches, historical institutionalism tends to emphasize that many outcomes are possible, small events and flukes can have large consequences, actions are hard to reverse once they take place, and that outcomes may be inefficient. A critical juncture may set in motion events that are hard to reverse, because of issues related to path dependency. Historical institutionalists tend to focus on history to understand why specific events happen.
Designing Social Inquiry: Scientific Inference in Qualitative Research is an influential 1994 book written by Gary King, Robert Keohane, and Sidney Verba that lays out guidelines for conducting qualitative research. The central thesis of the book is that qualitative and quantitative research share the same "logic of inference." The book primarily applies lessons from regression-oriented analysis to qualitative research, arguing that the same logics of causal inference can be used in both types of research.
Historical sociology is an interdisciplinary field of research that combines sociological and historical methods to understand the past, how societies have developed over time, and the impact this has on the present. It emphasises a mutual line of inquiry of the past and present to understand how discrete historical events fit into wider societal progress and ongoing dilemmas through complementary comparative analysis.
Quantitative methods provide the primary research methods for studying the distribution and causes of crime. Quantitative methods provide numerous ways to obtain data that are useful to many aspects of society. The use of quantitative methods such as survey research, field research, and evaluation research as well as others. The data can, and is often, used by criminologists and other social scientists in making causal statements about variables being researched.
In statistics, qualitative comparative analysis (QCA) is a data analysis based on set theory to examine the relationship of conditions to outcome. QCA describes the relationship in terms of necessary conditions and sufficient conditions. The technique was originally developed by Charles Ragin in 1987 to study data sets that are too small for linear regression analysis but large enough for cross-case analysis.
Causation refers to the existence of "cause and effect" relationships between multiple variables. Causation presumes that variables, which act in a predictable manner, can produce change in related variables and that this relationship can be deduced through direct and repeated observation. Theories of causation underpin social research as it aims to deduce causal relationships between structural phenomena and individuals and explain these relationships through the application and development of theory. Due to divergence amongst theoretical and methodological approaches, different theories, namely functionalism, all maintain varying conceptions on the nature of causality and causal relationships. Similarly, a multiplicity of causes have led to the distinction between necessary and sufficient causes.
Process tracing is a qualitative research method used to develop and test theories. Process-tracing can be defined as the following: it is the systematic examination of diagnostic evidence selected and analyzed in light of research questions and hypotheses posed by the investigator. Process-tracing thus focuses on (complex) causal relationships between the independent variable(s) and the outcome of the dependent variable(s), evaluates pre-existing hypotheses and discovers new ones. It is generally understood as a "within-case" method to draw inferences on the basis of causal mechanisms, but it can also be used for ideographic research or small-N case-studies. It has been used in social sciences, as well as in natural sciences.
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.
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 study of why things occur is called etiology, and can be described using the language of scientific causal notation. Causal inference is said to provide the evidence of causality theorized by causal reasoning.
Social revolutions are sudden changes in the structure and nature of society. These revolutions are usually recognized as having transformed society, economy, culture, philosophy, and technology along with but more than just the political systems.
Causal analysis is the field of experimental design and statistical analysis 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
Social Origins of Dictatorship and Democracy: Lord and Peasant in the Making of the Modern World (1966) is a book by Barrington Moore Jr.
