Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Psychological Modeling
Download Psychological Modeling full books in PDF, epub, and Kindle. Read online Psychological Modeling ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Psychological Modeling by : Albert Bandura
Download or read book Psychological Modeling written by Albert Bandura and published by Routledge. This book was released on 2021-05-09 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Classic Edition of this key text highlights seminal work done in the subject of learning by modeling and offers an extensive review of the major theories, edited by one of the most influential psychologists of his generation. In his introductory essay, Bandura identifies the most important controversial issues in the field of observational learning and reviews a large body of research findings, before carefully chosen articles, written by a team of expert contributors, tackle a range of key debates in the field. Topics explored include the role of reinforcement play in observational learning, the scope of modeling influences, the types of people most susceptible to modeling influences, and the relative effectiveness of models presented in live action, in pictorial presentations, or through verbal description. Written in a lively and engaging manner, this book will be of interest to all psychology students interested in psychological modeling, as well as educators and professionals working with children.
Book Synopsis Artificial Psychology by : James A. Crowder
Download or read book Artificial Psychology written by James A. Crowder and published by Springer. This book was released on 2019-05-21 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems.
Download or read book Growth Modeling written by Kevin J. Grimm and published by Guilford Publications. This book was released on 2016-10-17 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.
Book Synopsis Measuring Psychological Constructs by : Susan E. Embretson
Download or read book Measuring Psychological Constructs written by Susan E. Embretson and published by Amer Psychological Assn. This book was released on 2010 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than a half-century has passed since Cronbachs distinction between the correlational and experimental approaches in psychology. Yet measurement today is not much better integrated with psychological theory than it was in the late 1950s, and many argue that the traditional psychometric model itself may have introduced constraints that have limited the integration of measurement and theory. Measuring Psychological Constructs seeks to break through these constraints by offering conceptual alternatives to traditional item-response theorys fixed-content/multiple-choice models. This edited volumes contributors present groundbreaking explanatory approaches to model-based measurement that provide various psychological constructs with more authentic measures such as constructed-response tasks and performance assessment. These new explanatory approaches not only extend rigorous psychometric methods to a variety of major psychological constructs, but also have the potential to change fundamentally the nature of the constructs that are being measured. Grounded in psychometrics and quantitative assessment, and in the history and major theoretical approaches of psychology, Measuring Psychological Constructs is aimed at students, teachers, researchers, and practitioners alike, in variety of psychology subdisciplines that include developmental and geriatric, industrial/organizational, clinical and counseling, educational, social and personality, experimental, neuropsychology, health and rehabilitation, and quantitative psychology.
Book Synopsis Minds and Machines by : Michael R. W. Dawson
Download or read book Minds and Machines written by Michael R. W. Dawson and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minds and Machines: Connectionism and Psychological Modeling examines different kinds of models and investigates some of the basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure of connectionist networks can be interpreted. Introduces connectionist models as tools that are both synthetic and representational and which can be used as the basis for conducting synthetic psychology. Includes distinctively varied account of modeling, historical overview of the synthetic approach, and unique perspectives on connectionism. Investigates basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure can be interpreted. Provides supplementary material online at www.bcp.psych.ualberta.ca/~mike/Book2/ which includes free software for conducting connectionist simulations and instructions for building simple robots.
Book Synopsis Principles and Practice of Structural Equation Modeling by : Rex B. Kline
Download or read book Principles and Practice of Structural Equation Modeling written by Rex B. Kline and published by Guilford Publications. This book was released on 2023-05-24 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Significantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearl’s structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and a new self-test on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition *Chapters on composite SEM, also called partial least squares path modeling or variance-based SEM; conducting SEM analyses in small samples; and recent developments in mediation analysis. *Coverage of new reporting standards for SEM analyses; piecewise SEM, also called confirmatory path analysis; comparing alternative models fitted to the same data; and issues in multiple-group SEM. *Extended tutorials on techniques for dealing with missing data in SEM and instrumental variable methods to deal with confounding of target causal effects. Pedagogical Features *New self-test of knowledge about background topics (significance testing, regression, and psychometrics) with scoring key and online primers. *End-of-chapter suggestions for further reading and exercises with answers. *Troublesome examples from real data, with guidance for handling typical problems in analyses. *Topic boxes on special issues and boxed rules to remember. *Website promoting a learn-by-doing approach, including data, extensively annotated syntax, and output files for all the book’s detailed examples.
Book Synopsis Language in Action by : William Turnbull
Download or read book Language in Action written by William Turnbull and published by Psychology Press. This book was released on 2003 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face-to-face conversation is the site of sociality in all cultures and its child to adult mode facilitates social and cognitive development.
Book Synopsis Human Modeling for Bio-Inspired Robotics by : Jun Ueda
Download or read book Human Modeling for Bio-Inspired Robotics written by Jun Ueda and published by Academic Press. This book was released on 2016-09-02 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Modelling for Bio-inspired Robotics: Mechanical Engineering in Assistive Technologies presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications. Intended to provide researchers both in academia and industry with key content on which to base their developments, this book is organized and written by senior experts in their fields. Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies offers a system-level investigation into human mechanisms that inspire the development of assistive technologies and humanoid robotics, including topics in modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation and integration. Each chapter is written by a subject expert and discusses its background, research challenges, key outcomes, application, and future trends. This book will be especially useful for academic and industry researchers in this exciting field, as well as graduate-level students to bring them up to speed with the latest technology in mechanical design and control aspects of the area. Previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing is assumed. - Presents the most recent research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications - Covers background information and fundamental concepts of human modelling - Includes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issues - Assumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing
Book Synopsis Creating Models in Psychological Research by : Olivier Mesly
Download or read book Creating Models in Psychological Research written by Olivier Mesly and published by Springer. This book was released on 2015-03-21 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise reference serves as a companion to traditional research texts by focusing on such essentials as model construction, robust methodologies and defending a compelling hypothesis. Designed to wean Master's and doctorate-level students as well as new researchers from their comfort zones, the book challenges readers to engage in multi-method approaches to answering multidisciplinary questions. The result is a step-by-step framework for producing well-organized, credible papers based on rigorous, error-free data. The text begins with a brief grounding in the intellectual attitude and logical stance that underlie good research and how they relate to steps such as refining a topic, creating workable models and building the right amount of complexity. Accessible examples from psychology and business help readers grasp the fine points of observations, interviewing, simulations, interpreting and finalizing data and presenting results. Fleshed out with figures, tables, key terms, tips, and questions, this book acts as both a friendly lecturer and a multilevel reality check.
Book Synopsis A Beginner's Guide to Structural Equation Modeling by : Randall E. Schumacker
Download or read book A Beginner's Guide to Structural Equation Modeling written by Randall E. Schumacker and published by Routledge. This book was released on 2015-12-22 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.
Book Synopsis Computational Modeling in Cognition by : Stephan Lewandowsky
Download or read book Computational Modeling in Cognition written by Stephan Lewandowsky and published by SAGE. This book was released on 2010-11-29 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.
Book Synopsis Sixth International Conference on Cognitive Modeling - ICCM - 2004 by : Marsha C. Lovett
Download or read book Sixth International Conference on Cognitive Modeling - ICCM - 2004 written by Marsha C. Lovett and published by Psychology Press. This book was released on 2004-08 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Cognitive Modeling brings together researchers who develop computational models that explain and predict cognitive data. The 2004 conference encompassed an integration of diverse data through models of coherent phenomena;
Book Synopsis The Psychoanalytic Model of the Mind by : Elizabeth L. Auchincloss
Download or read book The Psychoanalytic Model of the Mind written by Elizabeth L. Auchincloss and published by American Psychiatric Pub. This book was released on 2015-04-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the widespread influence of psychoanalysis in the field of mental health, until now no single book has been published that explains the psychoanalytic model of the mind to the many students and practitioners who want to understand it. The Psychoanalytic Model of the Mind represents an important breakthrough: in simple language, it presents complicated ideas and concepts in an accessible manner, demystifies psychoanalysis, debunks some of the myths that have plagued it, and defuses the controversies that have too long attended it. The author effectively demonstrates that the psychoanalytic model of the mind is consistent with a brain-based approach. Even in patients whose mental illness has a predominantly biological basis, psychological factors contribute to the onset, expression, and course of the illness. For this reason, treatments that focus exclusively on symptoms are not effective in sustaining change. The psychoanalytic model provides clinicians with the framework to understand each patient as a unique psychological being. The book is rich in descriptive detail yet pragmatic in its approach, offering many features and benefits: In addition to providing the theoretical scaffolding for psychodynamic psychotherapy, the book emphasizes the critical importance of forging a strong treatment alliance, which requires understanding the transference and countertransference reactions that either disrupt or strengthen the clinician-patient bond. The book is respectful of Freud without being reverential; it considers his contribution as founder of psychoanalysis in the context of the historical and conceptual evolution of the field. The final section is devoted to learning to use the psychoanalytic model and exploring how it can be integrated with existing models of the mind. In addition to being a valuable reference for mental health clinicians, the text can serve as a resource for undergraduate and graduate students of philosophy, neuroscience, psychology, literature, and all academic disciplines outside of the mental health professions who may want to learn more about what psychoanalysts have to say about the mind. Important features include an extensive glossary of terms, a series of illustrative tables, and appendixes addressing libido theory and defenses. Drawing upon a broad range of sources to make her case, the author persuasively argues that the basic tenets of the psychoanalytic model of the mind are supported by empirical evidence as well as clinical efficacy. The Psychoanalytic Model of the Mind is a fascinating exploration of this complex model of mental functioning, and both clinicians and students of the mind will find it comprehensive and riveting.
Book Synopsis The 4 Stages of Psychological Safety by : Timothy R. Clark
Download or read book The 4 Stages of Psychological Safety written by Timothy R. Clark and published by Berrett-Koehler Publishers. This book was released on 2020-03-03 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first practical, hands-on guide that shows how leaders can build psychological safety in their organizations, creating an environment where employees feel included, fully engaged, and encouraged to contribute their best efforts and ideas. Fear has a profoundly negative impact on engagement, learning efficacy, productivity, and innovation, but until now there has been a lack of practical information on how to make employees feel safe about speaking up and contributing. Timothy Clark, a social scientist and an organizational consultant, provides a framework to move people through successive stages of psychological safety. The first stage is member safety-the team accepts you and grants you shared identity. Learner safety, the second stage, indicates that you feel safe to ask questions, experiment, and even make mistakes. Next is the third stage of contributor safety, where you feel comfortable participating as an active and full-fledged member of the team. Finally, the fourth stage of challenger safety allows you to take on the status quo without repercussion, reprisal, or the risk of tarnishing your personal standing and reputation. This is a blueprint for how any leader can build positive, supportive, and encouraging cultures in any setting.
Book Synopsis Bayesian Psychometric Modeling by : Roy Levy
Download or read book Bayesian Psychometric Modeling written by Roy Levy and published by CRC Press. This book was released on 2017-07-28 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. Adopting a Bayesian approach can aid in unifying seemingly disparate—and sometimes conflicting—ideas and activities in psychometrics. This book explains both how to perform psychometrics using Bayesian methods and why many of the activities in psychometrics align with Bayesian thinking. The first part of the book introduces foundational principles and statistical models, including conceptual issues, normal distribution models, Markov chain Monte Carlo estimation, and regression. Focusing more directly on psychometrics, the second part covers popular psychometric models, including classical test theory, factor analysis, item response theory, latent class analysis, and Bayesian networks. Throughout the book, procedures are illustrated using examples primarily from educational assessments. A supplementary website provides the datasets, WinBUGS code, R code, and Netica files used in the examples.
Book Synopsis Two-Sided Matching by : Alvin E. Roth
Download or read book Two-Sided Matching written by Alvin E. Roth and published by Cambridge University Press. This book was released on 1992-06-26 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two-sided matching provides a model of search processes such as those between firms and workers in labor markets or between buyers and sellers in auctions. This book gives a comprehensive account of recent results concerning the game-theoretic analysis of two-sided matching. The focus of the book is on the stability of outcomes, on the incentives that different rules of organization give to agents, and on the constraints that these incentives impose on the ways such markets can be organized. The results for this wide range of related models and matching situations help clarify which conclusions depend on particular modeling assumptions and market conditions, and which are robust over a wide range of conditions. 'This book chronicles one of the outstanding success stories of the theory of games, a story in which the authors have played a major role: the theory and practice of matching markets ... The authors are to be warmly congratulated for this fine piece of work, which is quite unique in the game-theoretic literature.' From the Foreword by Robert Aumann
Book Synopsis Structural Equation Modeling With AMOS by : Barbara M. Byrne
Download or read book Structural Equation Modeling With AMOS written by Barbara M. Byrne and published by Routledge. This book was released on 2016-06-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested. Thoroughly updated throughout, the new edition features: All new screen shots featuring Amos Version 23. Descriptions and illustrations of Amos’ new Tables View format which enables the specification of a structural model in spreadsheet form. Key concepts and/or techniques that introduce each chapter. Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data. Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results. All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos. More explanation of key procedures and analyses that address questions posed by readers All application data files are available at www.routledge.com/9781138797031. The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5. An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.
