Search Results for "configural-frequency-analysis-methods-models-and-applications-by-author-alexander-von-eye-published-on-august-2002"

Personnel Selection

Personnel Selection

Adding Value Through People - A Changing Picture

  • Author: Mark Cook
  • Publisher: John Wiley & Sons
  • ISBN: 1118973569
  • Category: Psychology
  • Page: 368
  • View: 914
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This is a fully updated edition of Personnel Selection, a seminal text on the psychometric approach to personnel selection by a noted expert in the field. Focuses on cutting-edge topics including the influence of social networking sites, adverse impact, age differences and stereotypes, distribution of work performance, and the problems of selecting new employees using research based on incumbent employees Questions established beliefs in the field, especially issues that have been characterized as “not a problem,” such as differential validity, over-reliance on self-report, and “faking good” Contains expanded discussion of research and practice in the US and internationally, while maintaining the definitive coverage of UK and European selection approaches Provides comprehensive yet accessible information for professionals and students, as well as helpful pedagogical tools (technical and statistical boxes, simplified figures and tables, research agenda boxes, key point summaries, and key references)

Communication in the Age of Virtual Reality

Communication in the Age of Virtual Reality

  • Author: Frank Biocca,Mark R. Levy
  • Publisher: Routledge
  • ISBN: 1135693579
  • Category: Language Arts & Disciplines
  • Page: 416
  • View: 6281
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This volume addresses virtual reality (VR) -- a tantalizing communication medium whose essence challenges our most deeply held notions of what communication is or can be. The editors have gathered an expert team of engineers, social scientists, and cultural theorists for the first extensive treatment of human communication in this exciting medium. The first part introduces the reader to VR's state-of-the-art as well as future trends. In the next section, leading research scientists discuss how knowledge of communication can be used to build more effective and exciting communication applications of virtual reality. Looking ahead, the authors explore pioneering approaches to VR narratives, interpersonal communication, the use of 3D sound, and the building of VR entertainment complexes. In the final section, the authors zoom out to view the big picture -- the psychological, social, and cultural implications of virtual reality. Thought-provoking discussions consider important communication issues such as: * How will virtual reality influence perception of reality? * What are the legal issues defining communication in virtual reality? * What kind of cultural trends will this technology encourage?

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

  • Author: Todd D. Little
  • Publisher: Oxford University Press
  • ISBN: 0199934908
  • Category: Psychology
  • Page: 784
  • View: 5075
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Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Advances in Configural Frequency Analysis

Advances in Configural Frequency Analysis

  • Author: Alexander von Eye,Patrick Mair,Eun Young Mun
  • Publisher: Guilford Press
  • ISBN: 1606237195
  • Category: Psychology
  • Page: 306
  • View: 1417
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Using real-world data examples, this authoritative book shows how to use the latest configural frequency analysis (CFA) techniques to analyze categorical data. Some of the techniques are presented here for the first time. In contrast to such methods as log-linear modeling, which focus on relationships among variables, CFA allows researchers to evaluate differences and change at the level of individual cells in a table. Illustrated are ways to identify and test for cell configurations that are either consistent with or contrary to hypothesized patterns (the types and antitypes of CFA); control for potential covariates that might influence observed results; develop innovative prediction models; address questions of moderation and mediation; and analyze intensive longitudinal data. The book also describes free software applications for executing CFA. This book will be invaluable to researchers and graduate students in psychology, education, management, public health, sociology, and other social, behavioral, and health science disciplines. It will also serve as a supplemental text in graduate-level courses on categorical data analysis, longitudinal analysis, and person-oriented research.

Configural Frequency Analysis

Configural Frequency Analysis

Methods, Models, and Applications

  • Author: Alexander von Eye
  • Publisher: Psychology Press
  • ISBN: 1135630852
  • Category: Psychology
  • Page: 472
  • View: 1818
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Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to answer the question of whether individual cells or groups of cells of cross-classifications differ significantly from expectations. The expectations are calculated using methods employed in log-linear modeling or a priori information. It is the only statistical method that allows one to make statements about empty areas in the data space. Applied and or person-oriented researchers, statisticians, and advanced students interested in CFA and categorical and longitudinal data will find this book to be a valuable resource. Developed since 1969, this method is now used by a large number of researchers around the world in a variety of disciplines, including psychology, education, medicine, and sociology. Configural Frequency Analysis will serve as an excellent text for courses on configural frequency analysis, categorical variable analysis, or analysis of contingency tables. Prerequisites include an understanding of descriptive statistics, hypothesis testing, statistical model fitting, and some understanding of categorical data analysis and matrix algebra.

Books in Print

Books in Print

  • Author: N.A
  • Publisher: N.A
  • ISBN: N.A
  • Category: American literature
  • Page: N.A
  • View: 6864
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Log-Linear Modeling

Log-Linear Modeling

Concepts, Interpretation, and Application

  • Author: Alexander von Eye,Eun-Young Mun
  • Publisher: John Wiley & Sons
  • ISBN: 1118391764
  • Category: Mathematics
  • Page: 472
  • View: 2940
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An easily accessible introduction to log-linear modeling for non-statisticians Highlighting advances that have lent to the topic's distinct, coherent methodology over the past decade, Log-Linear Modeling: Concepts, Interpretation, and Application provides an essential, introductory treatment of the subject, featuring many new and advanced log-linear methods, models, and applications. The book begins with basic coverage of categorical data, and goes on to describe the basics of hierarchical log-linear models as well as decomposing effects in cross-classifications and goodness-of-fit tests. Additional topics include: The generalized linear model (GLM) along with popular methods of coding such as effect coding and dummy coding Parameter interpretation and how to ensure that the parameters reflect the hypotheses being studied Symmetry, rater agreement, homogeneity of association, logistic regression, and reduced designs models Throughout the book, real-world data illustrate the application of models and understanding of the related results. In addition, each chapter utilizes R, SYSTAT®, and §¤EM software, providing readers with an understanding of these programs in the context of hierarchical log-linear modeling. Log-Linear Modeling is an excellent book for courses on categorical data analysis at the upper-undergraduate and graduate levels. It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work.

Dependent Data in Social Sciences Research

Dependent Data in Social Sciences Research

Forms, Issues, and Methods of Analysis

  • Author: Mark Stemmler,Alexander von Eye,Wolfgang Wiedermann
  • Publisher: Springer
  • ISBN: 3319205854
  • Category: Social Science
  • Page: 385
  • View: 2099
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This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.

Neural Organization

Neural Organization

Structure, Function, and Dynamics

  • Author: Michael A. Arbib,Péter Érdi,J?nos Szent?gothai
  • Publisher: MIT Press
  • ISBN: 9780262011594
  • Category: Medical
  • Page: 407
  • View: 1160
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In "Neural Organization," Arbib, É rdi, and Szentá gothai integrate structural, functional, and dynamical approaches to the interaction of brain models and neurobiologcal experiments. Both structure-based "bottom-up" and function- based "top-down" models offer coherent concepts by which to evaluate the experimental data. The goal of this book is to point out the advantages of a multidisciplinary, multistrategied approach to the brain. Part I of "Neural Organization" provides a detailed introduction to each of the three areas of structure, function, and dynamics. "Structure" refers to the anatomical aspects of the brain and the relations between different brain regions. "Function" refers to skills and behaviors, which are explained by means of functional schemas and biologically based neural networks. "Dynamics" refers to the use of a mathematical framework to analyze the temporal change of neural activities and synaptic connectivities that underlie brain development and plasticity--in terms of both detailed single-cell models and large-scale network models. In part II, the authors show how their systematic approach can be used to analyze specific parts of the nervous system--the olfactory system, hippocampus, thalamus, cerebral cortex, cerebellum, and basal ganglia--as well as to integrate data from the study of brain regions, functional models, and the dynamics of neural networks. In conclusion, they offer a plan for the use of their methods in the development of cognitive neuroscience.

Factor Analysis at 100

Factor Analysis at 100

Historical Developments and Future Directions

  • Author: Robert Cudeck,Robert C. MacCallum
  • Publisher: Routledge
  • ISBN: 1135594031
  • Category: Business & Economics
  • Page: 384
  • View: 2633
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Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. Because of its importance, a conference was held to mark the centennial of the publication of Charles Spearman's seminal 1904 article which introduced the major elements of this invaluable statistical tool. This book evolved from that conference. It provides a retrospective look at major issues and developments as well as a prospective view of future directions in factor analysis and related methods. In so doing, it demonstrates how and why factor analysis is considered to be one of the methodological pillars of behavioral research. Featuring an outstanding collection of contributors, this volume offers unique insights on factor analysis and its related methods. Several chapters have a clear historical perspective, while others present new ideas along with historical summaries. In addition, the book reviews some of the extensions of factor analysis to such techniques as latent growth curve models, models for categorical data, and structural equation models. Factor Analysis at 100 will appeal to graduate students and researchers in the behavioral, social, health, and biological sciences who use this technique in their research. A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful.

Theory Construction and Model-building Skills

Theory Construction and Model-building Skills

A Practical Guide for Social Scientists

  • Author: James Jaccard,Jacob Jacoby
  • Publisher: Guilford Press
  • ISBN: 1606233408
  • Category: Psychology
  • Page: 391
  • View: 8927
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Meeting a crucial need for graduate students and newly minted researchers, this innovative text provides hands-on tools for generating ideas and translating them into formal theories. It is illustrated with numerous practical examples drawn from multiple social science disciplines and research settings. The authors offer clear guidance for defining constructs, thinking through relationships and processes that link constructs, and deriving new theoretical models (or building on existing ones) based on those relationships. Step by step, they show readers how to use causal analysis, mathematical modeling, simulations, and grounded and emergent approaches to theory construction. A chapter on writing about theories contains invaluable advice on crafting effective papers and grant applications. Useful pedagogical features in every chapter include: Application exercises and concept exercises Lists of key terms and engaging topical boxes Annotated suggestions for further reading. This book is intended for graduate students in a range of disciplines, including psychology, education, sociology, health, and management, as well as social scientists pursing research careers in academic or other settings. It can serve as a primary text in graduate-level courses in theory construction or as a supplemental text in courses on research methodology, theories of a particular discipline, grant writing, or the dissertation.

The Cambridge Handbook of Applied Perception Research

The Cambridge Handbook of Applied Perception Research

  • Author: Robert R. Hoffman,Peter A. Hancock,Mark W. Scerbo,Raja Parasuraman,James L. Szalma
  • Publisher: Cambridge University Press
  • ISBN: 1139993534
  • Category: Psychology
  • Page: N.A
  • View: 4591
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The Cambridge Handbook of Applied Perception Research covers core areas of research in perception with an emphasis on its application to real-world environments. Topics include multisensory processing of information, time perception, sustained attention, and signal detection, as well as pedagogical issues surrounding the training of applied perception researchers. In addition to familiar topics, such as perceptual learning, the Handbook focuses on emerging areas of importance, such as human-robot coordination, haptic interfaces, and issues facing societies in the twenty-first century (such as terrorism and threat detection, medical errors, and the broader implications of automation). Organized into sections representing major areas of theoretical and practical importance for the application of perception psychology to human performance and the design and operation of human-technology interdependence, it also addresses the challenges to basic research, including the problem of quantifying information, defining cognitive resources, and theoretical advances in the nature of attention and perceptual processes.

Statistics and Causality

Statistics and Causality

Methods for Applied Empirical Research

  • Author: Wolfgang Wiedermann,Alexander von Eye
  • Publisher: John Wiley & Sons
  • ISBN: 1118947053
  • Category: Social Science
  • Page: 480
  • View: 1699
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A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.

The Paradoxical Brain

The Paradoxical Brain

  • Author: Narinder Kapur
  • Publisher: Cambridge University Press
  • ISBN: 1139495798
  • Category: Psychology
  • Page: N.A
  • View: 735
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The Paradoxical Brain focuses on a range of phenomena in clinical and cognitive neuroscience that are counterintuitive and go against the grain of established thinking. The book covers a wide range of topics by leading researchers, including: • Superior performance after brain lesions or sensory loss • Return to normal function after a second brain lesion in neurological conditions • Paradoxical phenomena associated with human development • Examples where having one disease appears to prevent the occurrence of another disease • Situations where drugs with adverse effects on brain functioning may have beneficial effects in certain situations A better understanding of these interactions will lead to a better understanding of brain function and to the introduction of new therapeutic strategies. The book will be of interest to those working at the interface of brain and behaviour, including neuropsychologists, neurologists, psychiatrists and neuroscientists.

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

Statistical Analysis of Longitudinal Categorical Data in the Social and Behavioral Sciences

An introduction With Computer Illustrations

  • Author: Alexander von Eye,Keith E. Niedermeier
  • Publisher: Psychology Press
  • ISBN: 1135671249
  • Category: Psychology
  • Page: 272
  • View: 1942
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A comprehensive resource for analyzing a variety of categorical data, this book emphasizes the application of many recent advances of longitudinal categorical statistical methods. Each chapter provides basic methodology, helpful applications, examples using data from all fields of the social sciences, computer tutorials, and exercises. Written for social scientists and students, no advanced mathematical training is required. Step-by-step command files are given for both the CDAS and the SPSS software programs.

Introduction to Configural Frequency Analysis

Introduction to Configural Frequency Analysis

The Search for Types and Antitypes in Cross-Classification

  • Author: Alexander von Eye
  • Publisher: Cambridge University Press
  • ISBN: 9780521380904
  • Category: Psychology
  • Page: 270
  • View: 5997
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Configural Frequency Analysis (CFA) is a method for analysis of groups of individuals in cross-classifications. Individuals belong to a type if their particular pattern of characteristics occurs more often than expected, and to an antityte if their particular pattern of characteristics occurs less often than expected. The author's original contribution is his linking of CFA to log-linear modeling and the General Linear Model, enabling the reader to relate CFA to a well-known statistical background. It is shown that CFA and log-linear modeling are methods that complement each other. Introduction to Configural Frequency Analysis covers the latest developments in CFA, and it will be easy to read even for those with only an elementary statistics course as a background.

Models of Oculomotor Control

Models of Oculomotor Control

  • Author: George K. Hung
  • Publisher: World Scientific
  • ISBN: 9810245688
  • Category: Medical
  • Page: 127
  • View: 7033
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This monograph is a structured review of models of oculomotor control systems that is geared toward biomedical engineers, vision scientists, and optometry students. It aims to provide the biomedical engineer with a thorough understanding of how various engineering control principles are applied to oculomotor systems, and the non-engineer with knowledge of how various physiological and clinical concepts can be represented quantitatively and efficiently by control system models.Basic control system concepts and oculomotor physiology are first introduced, along with a glossary, to provide background for the more advanced topics. Then, these concepts are applied to static linear and nonlinear analysis of various oculomotor systems. In addition, advanced topics are presented on the application of dynamic linear and nonlinear modeling techniques to the oculomotor system, with a particular emphasis on myopia development. This book can thus serve as a unique reference for quantitative analysis of oculomotor control, and as a foundation for future research on the oculomotor system.

Aesthetics and Neuroscience

Aesthetics and Neuroscience

Scientific and Artistic Perspectives

  • Author: Zoï Kapoula,Marine Vernet
  • Publisher: Springer
  • ISBN: 3319462334
  • Category: Philosophy
  • Page: 311
  • View: 5499
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This edited monograph provides a compelling analysis of the interplay between neuroscience and aesthetics. The book broaches a wide spectrum of topics including, but not limited to, mathematics and creator algorithms, neurosciences of artistic creativity, paintings and dynamical systems as well as computational research for architecture. The international authorship is genuinely interdisciplinary and the target audience primarily comprises readers interested in transdisciplinary research between neuroscience and the broad field of aesthetics.

The Cambridge Handbook of Human Affective Neuroscience

The Cambridge Handbook of Human Affective Neuroscience

  • Author: Jorge Armony,Patrik Vuilleumier
  • Publisher: Cambridge University Press
  • ISBN: 1107310709
  • Category: Psychology
  • Page: N.A
  • View: 8606
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Neuroscientific research on emotion has developed dramatically over the past decade. The cognitive neuroscience of human emotion, which has emerged as the new and thriving area of 'affective neuroscience', is rapidly rendering existing overviews of the field obsolete. This handbook provides a comprehensive, up-to-date and authoritative survey of knowledge and topics investigated in this cutting-edge field. It covers a range of topics, from face and voice perception to pain and music, as well as social behaviors and decision making. The book considers and interrogates multiple research methods, among them brain imaging and physiology measurements, as well as methods used to evaluate behavior and genetics. Editors Jorge Armony and Patrik Vuilleumier have enlisted well-known and active researchers from more than twenty institutions across three continents, bringing geographic as well as methodological breadth to the collection. This timely volume will become a key reference work for researchers and students in the growing field of neuroscience.

Regression Analysis for Social Sciences

Regression Analysis for Social Sciences

  • Author: Alexander von Eye,Christof Schuster
  • Publisher: Elsevier
  • ISBN: 0080550827
  • Category: Education
  • Page: 386
  • View: 3064
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Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text. Presents accessible methods of regression analysis Includes a broad spectrum of methods Techniques are explained step-by-step Provides sample command and result files for SYSTAT