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Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organisations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. This book tackles the important issue of how to investigate change in the context of imperfect data
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Time series data are chronological sequences of observations produced by regularly and repeatedly measuring some characteristic or characteristics of the same case over time (e.g., aggregate support for the government in a country, the crime rate in a city). Time series analysis is the application of statistical models to time series data. This entry defines time series analysis and distinguishes time series data from other forms of data. It defines important time series notation and terminology. It provides a discussion of the challenges of time series analysis and of key time series fundamentals: autoregression, autocorrelation, serial correlation, stationarity, exogeneity, weak dependence, trending, seasonality, structural breaks, and stability.
Political Science. --- Administration --- Civil government --- Commonwealth, The --- Government --- Political theory --- Political thought --- Politics --- Science, Political --- Social sciences --- State, The
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Anthropology. --- Business and Management. --- Communication and Media Studies.
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Data cleaning is the process of quality checking quantitative data to ensure a data set contains accurate information. Data cleaning involves a number of practical approaches to dealing with data such as checking data coding, checking data inputting, examining data distributions, and identifying issues such as extreme values. Data cleaning may be an important step of the research process in order to meet statistical assumptions for analytic techniques and is particularly important to reduce the impact of any errors made during data collection or imputation. This entry provides a detailed overview of data cleaning processes and techniques to support accurate and reliable data analysis. This includes screening data, dealing with extreme values, dealing with missing or incomplete data, and data distributions. Data cleaning is not an objective exercise and subjective decisions may need to be made during the data cleaning process. It is imperative that researchers are transparent about data cleaning processes and decisions.
Anthropology. --- Business and Management. --- Communication and Media Studies.
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Expert systems (ESs) are computer programs that use artificial intelligence strategies to accomplish sophisticated tasks once deemed possible only for human experts. This entry provides an overview of ways in which ESs have been used to facilitate social science research. It begins by outlining the architecture of ESs, then identifies common representation and reasoning strategies, and shows how those lead to a number of strengths as well as limitations. Next, this entry examines how ESs have been applied to key research tasks including designing research, expressing theories, inducing theory from data, coding, simulations, and data analysis. A few exemplary areas of ongoing application of ESs to research are noted. The entry concludes by characterizing the evolution of ESs over time. Modern intelligent systems have overcome most of the earlier limitations of ESs, integrating multiple intelligent systems to address a much broader scope of problems with more natural interfaces and more powerful reasoning systems. However, modern systems raise new concerns over lack of transparency, limitations due to the social construction of knowledge, and difficulties of research.
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Figuration draws attention to interdependence, power, and process as ubiquitous characteristics of all human relations and represents a key departure from the philosophical antinomies that inform much social science thought. The concept forms a central tenet of the unique sociological approach of the late German sociologist Norbert Elias (1897-1990). Elias developed a novel theoretical synthesis that was more long term in its scope than conventional sociological approaches. It represents a key breakthrough in terms of its integration of the sociology of human societies with the sociology of knowledge. This particular sociological paradigm has come to be known as figurational sociology or process sociology.
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The notion of multi-sited ethnography (MSE) has mostly been used, after George Marcus (1995), as a shorthand for all ways of doing ethnographic fieldwork in more than one site. While the underlying claim for a radical departure from classical research objects and fields has been problematized by other anthropologists (e.g., Ferguson, 2011), MSE has soon taken an academic life of its own. Importantly, Marcus's seminal formulation placed greater emphasis on the processual connections between sites than the plurality of them. Yet, the predominant connotation of the term since has been for the coexistence of more (physical) sites within the same research design. More intriguingly, however, MSE can also be appreciated as an original approach to ethnographyone marked by the attempt to reconstruct the system of ...
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Qualitative comparative analysis (QCA) was developed by sociologist Charles C. Ragin (1987, 2000, 2008). It constitutes a genuine methodological innovation in the social sciences that explicitly aims to and has the potential to transcend the traditional division between qualitative and quantitative research approaches by developing a theoretical and methodological configurational approach based on the logic of sets and Boolean algebra. While initially the majority of theoretical and empirical applications of QCA were housed in sociology and political science, since the late 2000s organizational researchers have increasingly embraced QCA, causing organization studies to become a major field of its application. The increasing proliferation of QCA's configurational set theoretic approach in organizational research is due to the fact that the particular strengths and possibilities of QCA readily ...
Anthropology. --- Business and Management. --- Communication and Media Studies.
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Orientalism refers to a set of important yet misleading knowledge claims about the "Orient," a part of the world that has been located both conceptually and physically east of the European West. This orientalist knowledge provided the West with a flawed understanding of "Eastern" arts, languages, sciences, histories, faiths, cultures, peoples, and nations. Scholars of orientalism generated a nationally specific body of cultural, racialized, sexualized, and politicized knowledge related to "oriental" nations with their particular traits and customs, which were promulgated by First World experts, leaders, and policy advisors to support colonial projects and modern imperialism.a
Sociology. --- Anthropology. --- Communication and Media Studies.
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