Classification In Social Research
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| Author | : Ramkrishna Mukherjee |
| Publisher | : State University of New York Press |
| Total Pages | : 270 |
| Release | : 1984-06-30 |
| Genre | : Social Science |
| ISBN | : 1438413785 |
This important work is addressed to all researchers concerned with classification. It shows the serious limits of the traditional form of analytical classification. The solution it proposes, the inductive population approach, considers all possible cross-classifications in regard to attributes of the phenomena. This approach is theoretically grounded, avoids the tendency to generate excessively abstract constructs, and provides a clear way of linking empirical data with theoretically meaningful attributes of social systems. The last section of the book applies the method to kinship structures.
| Author | : Kenneth D. Bailey |
| Publisher | : SAGE |
| Total Pages | : 100 |
| Release | : 1994-06-13 |
| Genre | : Reference |
| ISBN | : 9780803952591 |
How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or some combination of both? In this clearly written book, Bailey addresses these questions and shows how classification methods can be used to improve research. Beginning with an exploration of the advantages and disadvantages of classification procedures including those typologies that can be constructed without the use of a computer, the book covers such topics as clustering procedures (including agglomerative and divisive methods), the relationship among various classification techniques (including the relationship of monothetic, qualitative typologies to polythetic, quantitative taxonomies), a comparison of clustering methods and how these methods compare with related statistical techniques such as factor analysis, multidimensional scaling and systems analysis, and lists classification resources. This volume also discusses software packages for use in clustering techniques.
| Author | : Anol Bhattacherjee |
| Publisher | : CreateSpace |
| Total Pages | : 156 |
| Release | : 2012-04-01 |
| Genre | : Science |
| ISBN | : 9781475146127 |
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
| Author | : N. Carlo Lauro |
| Publisher | : Springer |
| Total Pages | : 292 |
| Release | : 2017-11-17 |
| Genre | : Social Science |
| ISBN | : 3319554778 |
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
| Author | : NA Hall |
| Publisher | : Macmillan Education AU |
| Total Pages | : 324 |
| Release | : 2008-06-10 |
| Genre | : Social Science |
| ISBN | : 9781420256123 |
Applied Social Research focuses on the real world context of applied research. It discusses the often overlooked, yet essential process of planning: poor planning inevitably produces inadequate research. The text helps researchers decide how to approach their applied research problems and to think through the major issues in the design and analysis of their project. 'Applied Social Research' also discussed the idea that in applied social research the use of a single method type is unlikely to provide answers to the often complex set of research questions being addressed and highlights the benefits of using two or more research methods in the one study. The author argues that such mixed method designs are becoming widely used in applied social research, particularly where the methods combine qualitative and quantitative data, thereby enabling a richer set of data to provide various perspectives on the research topic, removing limitations imposed by using single methods. Examples of such designs are provided throughout, useful mixed method designs are outlined and their advantages discussed.
| Author | : Robert Philip Weber |
| Publisher | : SAGE |
| Total Pages | : 100 |
| Release | : 1990 |
| Genre | : Analisi della varianza |
| ISBN | : 9780803938632 |
This second edition has been completely updated to include new studies, new computer applications and an additional chapter on problems and issues that can arise when carrying out content analysis in four major categories: measurement, indication, representation and interpretation.
| Author | : David Rose |
| Publisher | : SAGE Publications Limited |
| Total Pages | : 304 |
| Release | : 2003-07-29 |
| Genre | : Reference |
| ISBN | : |
This book introduces researchers to all aspects of the new classification. In particular, it: - Fully describes the NS-SEC and elucidates its conceptual basis - Guides readers in how the NS-SEC has been validated as a measure - Evaluates how well NS-SEC works in describing and explaining the relationships between social class and key health and employment variables - Demonstrates the applications of NS-SEC in research
| Author | : Michael Lewis-Beck |
| Publisher | : SAGE |
| Total Pages | : 460 |
| Release | : 2004 |
| Genre | : Reference |
| ISBN | : 9780761923633 |
Featuring over 900 entries, this resource covers all disciplines within the social sciences with both concise definitions & in-depth essays.
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 301 |
| Release | : 1988-02-01 |
| Genre | : Science |
| ISBN | : 0309037492 |
This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.
| Author | : Office for National Statistics |
| Publisher | : Palgrave Macmillan |
| Total Pages | : 117 |
| Release | : 2005-11-29 |
| Genre | : Political Science |
| ISBN | : 9781403996473 |
This user manual describes in detail the National Statistics Socio-Economic Classification (NS-SEC), the standard UK government classification, which was rebased following changes to the Standard Occupation Classification (SOC) in 2000, and gives practical advice on using it to derive classifications. The main chapters describe the classes and general principles for deriving classifications and the appendices contain detailed derivation tables explaining how each category is derived from SOC and employment status.
