Statistical Methods For Communication Science

Author: Andrew F. Hayes
Editor: Routledge
ISBN: 1135250898
Size: 14,74 MB
Format: PDF, Docs
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Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *a CD with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.

Research And Statistical Methods In Communication Sciences And Disorders

Author: David L. Maxwell
Editor: Singular Publishing Group
ISBN: 9781401815677
Size: 15,19 MB
Format: PDF, ePub
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This engaging new book provides comprehensive coverage of research methods as well as a foundation in statistical analysis vital for individuals in the communication sciences and disorders field. While most speech-language pathologists and audiologists pursue clinical practice rather than research careers, it is important to understand the scientific base that their clinical work is built upon. Successful evidence-based clinical practice is rooted in this understanding. Research and Statistical Methods in Communication Sciences and Disorders covers the principles of research design, data analysis, and presentation of findings necessary for individuals performing research as well as consumers of scientific literature. Filled with meaningful examples, written in readable language, and pertinent to both speech-language pathology and audiology, this resource provides the essential knowledge of scientific reasoning and methods for scientific inquiry necessary to perform and understand research.

Research Methods For Communication Science

Author: James H. Watt
Editor: Allyn & Bacon
ISBN: 9780205140268
Size: 13,86 MB
Format: PDF
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A textbook for communications students that integrates the basic rules of science with the research procedures that follow those rules. Suitable for undergraduates and as a first research methods text for graduate students. Annotation copyright Book News, Inc. Portland, Or.

The Sage Sourcebook Of Advanced Data Analysis Methods For Communication Research

Author: Andrew F. Hayes
Editor: SAGE
ISBN: 1412927900
Size: 10,11 MB
Format: PDF, Mobi
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A must-have volume for every communication researcher’s library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. Students and faculty interested in diving into a new statistical topic—such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis—will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.

The Handbook Of Communication Science

Author: Charles R. Berger
Editor: SAGE
ISBN: 1412918138
Size: 12,67 MB
Format: PDF, ePub
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In 1987, publication of the Handbook of Communication Science signaled the "coming of age" for one of the most exciting interdisciplinary fields in the social sciences. With the 2nd edition of The Handbook of Communication Science almost twenty years later, editors Charles R. Berger and David Roskos-Ewoldsen bring together again a stellar cast of communication scholars to contribute to this volume. Opening chapters address the methods of research and the history of the field. In subsequent parts, the authors examine the levels of analysis in communication (individual to macrosocial), the functions of communication (such as socialization and persuasion), and the contexts in which communication occurs (such as couples, families, organizations, and mass media).

Statistical Methods For Communication Researchers And Professionals

Author: Rene Weber, Ph.D. M.D.
Editor:
ISBN: 9781465212238
Size: 10,86 MB
Format: PDF
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Mathematical And Statistical Methods For Actuarial Sciences And Finance

Author: Marco Corazza
Editor: Springer
ISBN: 331902499X
Size: 14,62 MB
Format: PDF, ePub, Mobi
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The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and finance fields, all treated in the light of the successful cooperation between the above two quantitative approaches. The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.

Mathematical And Statistical Methods For Actuarial Sciences And Finance

Author: Cira Perna
Editor: Springer Science & Business Media
ISBN: 8847023424
Size: 13,70 MB
Format: PDF, Kindle
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The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim.

Introduction To Mediation Moderation And Conditional Process Analysis

Author: Andrew F. Hayes
Editor: Guilford Press
ISBN: 1462511279
Size: 16,19 MB
Format: PDF, Docs
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Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known as conditional process analysis. Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The companion website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples. Unique features include: *Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data; boxes with SAS, SPSS, and PROCESS code; and loads of tips, including how to report mediation, moderation and conditional process analyses. *Appendix that presents documentation on use and features of PROCESS. *Online supplement providing data, code, and syntax for the book's examples.

Statistical Methods For Physical Science

Author:
Editor: Academic Press
ISBN: 9780080860169
Size: 16,75 MB
Format: PDF, ePub, Docs
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This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions. Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares Addresses time series analysis, including filtering and spectral analysis Includes simulations of physical experiments Features applications of statistics to atmospheric physics and radio astronomy Covers the increasingly important area of modern statistical computing