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Author: Steven E. Finkel
Publisher: SAGE
ISBN: 9780803938960
Category : Medical
Languages : en
Pages : 108
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Book Description
Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.
Author: Steven E. Finkel
Publisher: SAGE
ISBN: 9780803938960
Category : Medical
Languages : en
Pages : 108
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Book Description
Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.
Author: New York Botanical Garden
Publisher:
ISBN:
Category : Botany
Languages : en
Pages : 342
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Book Description
Composed of the Report of the director and other administrative officers, together with occasional contributions on scientific subjects. Beginning in 1933 the annual report of the director was published in its journal.
Author: A Stewart Fotheringham
Publisher: SAGE
ISBN: 1446206505
Category : Social Science
Languages : en
Pages : 529
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Book Description
The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: • why the analysis of spatial data needs separate treatment • the main areas of spatial analysis • the key debates within spatial analysis • examples of the application of various spatial analytical techniques • problems in spatial analysis • areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.
Author: Carol S. Aneshensel
Publisher: SAGE
ISBN: 1412994357
Category : Reference
Languages : en
Pages : 473
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Book Description
This book presents the elaboration model for the multivariate analysis of observational quantitative data. This model entails the systematic introduction of "third variables" to the analysis of a focal relationship between one independent and one dependent variable to ascertain whether an inference of causality is justified. Two complementary strategies are used: an exclusionary strategy that rules out alternative explanations such as spuriousness and redundancy with competing theories, and an inclusive strategy that connects the focal relationship to a network of other relationships, including the hypothesized causal mechanisms linking the focal independent variable to the focal dependent variable. The primary emphasis is on the translation of theory into a logical analytic strategy and the interpretation of results. The elaboration model is applied with case studies drawn from newly published research that serve as prototypes for aligning theory and the data analytic plan used to test it; these studies are drawn from a wide range of substantive topics in the social sciences, such as emotion management in the workplace, subjective age identification during the transition to adulthood, and the relationship between religious and paranormal beliefs. The second application of the elaboration model is in the form of original data analysis presented in two Analysis Journals that are integrated throughout the text and implement the full elaboration model. Using real data, not contrived examples, the text provides a step-by-step guide through the process of integrating theory with data analysis in order to arrive at meaningful answers to research questions.
Author: Henry Hurd Rusby
Publisher:
ISBN:
Category : Botany, Economic
Languages : en
Pages : 326
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Book Description
Author: Henning Best
Publisher: SAGE
ISBN: 1473914388
Category : Social Science
Languages : en
Pages : 577
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Book Description
′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Author: New York Botanical Garden
Publisher:
ISBN:
Category : Botany
Languages : en
Pages : 340
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Book Description
Contains the Report of the director and other administrative officers, together with occasional contributions on scientific subjects, but beginning in 1933 the Annual report of the director was published in It's Journal.
Author: Xuefeng Yin
Publisher: John Wiley & Sons
ISBN: 111818825X
Category : Technology & Engineering
Languages : en
Pages : 410
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Book Description
A comprehensive reference giving a thorough explanation of propagation mechanisms, channel characteristics results, measurement approaches and the modelling of channels Thoroughly covering channel characteristics and parameters, this book provides the knowledge needed to design various wireless systems, such as cellular communication systems, RFID and ad hoc wireless communication systems. It gives a detailed introduction to aspects of channels before presenting the novel estimation and modelling techniques which can be used to achieve accurate models. To systematically guide readers through the topic, the book is organised in three distinct parts. The first part covers the fundamentals of the characterization of propagation channels, including the conventional single-input single-output (SISO) propagation channel characterization as well as its extension to multiple-input multiple-output (MIMO) cases. Part two focuses on channel measurements and channel data post-processing. Wideband channel measurements are introduced, including the equipment, technology and advantages and disadvantages of different data acquisition schemes. The channel parameter estimation methods are then presented, which include conventional spectral-based estimation, the specular-path-model based high-resolution method, and the newly derived power spectrum estimation methods. Measurement results are used to compare the performance of the different estimation methods. The third part gives a complete introduction to different modelling approaches. Among them, both scattering theoretical channel modelling and measurement-based channel modelling approaches are detailed. This part also approaches how to utilize these two modelling approaches to investigate wireless channels for conventional cellular systems and some new emerging communication systems. This three-part approach means the book caters for the requirements of the audiences at different levels, including readers needing introductory knowledge, engineers who are looking for more advanced understanding, and expert researchers in wireless system design as a reference. Presents technical explanations, illustrated with examples of the theory in practice Discusses results applied to 4G communication systems and other emerging communication systems, such as relay, CoMP, and vehicle-to-vehicle rapid time-variant channels Can be used as comprehensive tutorial for students or a complete reference for engineers in industry Includes selected illustrations in color Program downloads available for readers Companion website with program downloads for readers and presentation slides and solution manual for instructors Essential reading for Graduate students and researchers interested in the characteristics of propagation channel, or who work in areas related to physical layer architectures, air interfaces, navigation, and wireless sensing
Author: Robert W. Pearson
Publisher: SAGE
ISBN: 1412974968
Category : Social Science
Languages : en
Pages : 425
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Book Description
This text helps readers understand how to collect, manage, evaluate, and analyze data. It also provides guidelines for the presentation of analysis, especially for nonacademic audiences without training in statistical analysis. These guidelines help ensure that statistics and graphical displays tell the story that analysts want to convey while protecting their analysis from methodological criticism. Author Robert Pearson focuses attention on the conceptual understanding of statistics, while referring (sparingly) to specific formulas when they help reveal a conceptual point about the statistics. Key Features · Combines a concern for the design, collection, measurement, and the management of data with its analysis and presentation · Provides examples and data concerning real world problems in education, crime, government performance, and other policy arenas · Clearly demonstrates the steps used to generate the appropriate statistics and graphs in Excel and SPSS and then provides exercises to replicate and elaborate on these examples This book and its supporting materials are ideally suited for graduate students in professional degree programs in public policy, education, social work, criminology, urban planning, and related schools as well as advanced undergraduates in these fields. The book's explanations, descriptions, illustrations, and step-by-step exercises create the skills and knowledge required of a policy analyst, advisor, consultant or the elected or appointed public official or nonprofit officer who wants to be better able to interpret and evaluate others' applied social research. Its data sets, solutions sets, instructors' manual, lecture slides, and student workbook provide instructors with a complete and fully integrated instructional package.
Author: Sheldon Ungar
Publisher: Penn State Press
ISBN: 0271039183
Category : History
Languages : en
Pages : 228
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Book Description
