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Researchers engaged in the social & political sciences tend to examine issues of identity using singular approaches, eschewing an interdisciplinary method. Classical research approaches have direct connections with the structure of human consciousness that serve as the framework for the empirical methods of classification & understanding, & many connections exist between & within the approaches in various scientific disciplines. Adapted from the source document.

AbstractTo the extent that intersectionality is becoming a common term in mainstream social science, it is as a methodological justification to separate out different racial, ethnic, gender, class, and other social groups for empirical analysis. One might call this the "intersectionality hypothesis," and in its best incarnation, it is about getting the facts right and finding the differences that matter. But an intersectional analysis in the social sciences often involves more than this. An intersectional approach also leads to potentially different interpretations of the same facts, or what we term a different social explanation. It is not only the intersection of categories that defines an intersectional project, then, but the theoretical framing that informs the analysis and interpretation of the subject under study. This framing often leads to an analysis of multiple and even conflicting social dynamics that enable certain kinds of social understanding that are otherwise invisible when scholars focus on a single set of social dynamics. Because the social theoretical aspects of research on intersectionality are rarely discussed, relative to the more methodological and ontological aspects of intersectionality, this is our main subject matter in this article. We focus on the process of developing social explanations rooted in the intersection of multiple social dynamics in several examples from our own research and across a variety of topics in social science research.

This volume surveys the resurgence of the social scientific study of ideas in politics. Leading scholars from a variety of subdisciplines in political science and sociology provide a general overview of the theoretical, empirical, and methodological issues raised by social science research on ideas and politics

Science and technology, as rational approaches to problem solving, are driving forces in the promotion of democracy at home and abroad. Science based decision-making is increasingly global as countries share technology, research results, and engage in joint studies on common problems. The widening rift between global wealth and poverty diminishes for many the opportunity for exposure to science, technology and social science based decision-making on issues that directly affect them. This paper outlines a model for democratizing science by utilizing the interactive tools of the social sciences in a process that enables information-marginalized people to engage with the language, methods and results of social science for purposes of community empowerment and voice in science policy. The paper offers examples of approaches to implementation, citing various forms of research partnerships with communities, and discusses challenges including ethical considerations, the conflict between "local" and science-based knowledges and power differentials in practice.

Research of a variety of kinds has been undertaken by the European Community. Areas studied include economic policy issues & prospects, social trends, housing trends, labor movements, the distribution of wealth, environmental problems, industrial sites, & PO polls. Each directorate-general is responsible for commissioning studies in his own field of competence. 2 Tables. W. H. Stoddard.

Covers the advances for quantitative researchers with practical examples from social sciences. This title includes twelve chapters that cover various issues - providing practical tools using the free R software.

The aim of the present study is to throw some lighton the revolutionary contribution of SPSS in current socialsciences research. SPSS (Statistical Package for the SocialSciences) is a widely used program for statisticalanalysis in social science. Computer technology haspermeated every phase of research and experimentation in thesocial sciences; and within related fields such as business andeducation, the computer has become an indispensable tool,from marketing research and consumer behavior to trendanalysis and forecasting. Clearly, it is this single aspect ofcomputing that has enabled social scientists to grasp the trulycomplex nature of human behavior and social organizations.Nevertheless, social scientists have come to involve thecomputer in nearly every component of their research, fromthe literature search, to the implementation of experiments,and to the writing of the manuscript on a word processor. Thecapability of SPSS is truly astounding. SPSS is also used bymarket researchers, health researchers, survey companies,government, education researchers, marketing organizations,data miners, and others. In addition to statistical analysis,data management (case selection, file reshaping, creatingderived data) and data documentation (a metadata dictionarywas stored in the data file) are features of the base software.The package enables the researchers to obtain statisticsranging from simple descriptive numbers to complex analysesof multivariate matrices along with plotting the data inhistograms, scatter plots, and other ways. The SPSS hasreduced the requirement for researchers to be able toundertake several of the calculations that area unit needed forapplied math analyses. Researchers collect massive quantitiesof knowledge, from surveys, experiments and different types ofobservation. An applied math computing package provides aconvenient means that to store this information, and derivedescriptive and inferential statistics. The applied mathPackage for the Social Sciences (SPSS) could be a wide usedall-purpose ...