Psychological Modeling Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Psychological Modeling book. This book definitely worth reading, it is an incredibly well-written.
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.
Cognitive Models of Psychological Time by Richard A. Block Pdf
This volume critically reviews cognitive models of psychological time in order to clarify and enrich what is known about the temporal aspects of cognitive processes. Concentrating on how adult humans experience, remember, and construct time, chapters survey recent work on such topics as mental representations of time, timing in movement sequences, time and timing in music, and the processing of temporal information. Also included are chapters with a broader perspective, such as the impacts of methodological choices, chronobiology and temporal experience, a comparative approach to time and order, and normal and abnormal temporal perspectives. The book makes current research and theories on the psychology of time more accessible to researchers in cognitive psychology.
Positive Psychological Assessments: Modern Approaches, Methodologies, Models and Guidelines by Llewellyn Ellardus Van Zyl,Peter ten Klooster,Leon T. de Beer,Mariëlle Zondervan-Zwijnenburg,Maria Vera,Arianna Costantini Pdf
The phenomenon of learning has always been of fundamental interest to psychologists. Although much of the research in this area approaches the process of learning as a consequence of direct experience, this volume is principally concerned with learning by example. A widening interest in modeling and vicarious processes of learning has been apparent in recent years. Psychological Modeling highlights the most important work done in the subject and offers an extensive review of the major theories of learning by modeling. In his introductory essay, the editor identifies the most important controversial issues in the field of observational learning and reviews a large body of research findings. Among the questions debated in this volume are: How do observers form an internal model of the outside world to guide their actions? What role does reinforcement play in observational learning? What is the relative effectiveness of models presented in live action, in pictorial presentations, or through verbal description? What is the scope of modeling influences? What factors determine whether people will learn what they have observed? What types of people are most susceptible to modeling influences, and what types of models are most influential in modifying the behavior of others? This volume deals with an important problem area in a lively fashion. Its special organization makes it a stimulating adjunct to all courses in psychology - undergraduate and graduate - in which psychological modeling is discussed. It also provides a readable introduction for educators and other professionals seeking reliable information on the state of knowledge in this area.
Measurement Models for Psychological Attributes by Klaas Sijtsma Pdf
Despite the overwhelming use of tests and questionnaires, the psychometric models for constructing these instruments are often poorly understood, leading to suboptimal measurement. Measurement Models for Psychological Attributes is a comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences. The monograph explains the adequate use of measurement models for test construction, points out their merits and drawbacks, and critically discusses topics that have raised and continue to raise controversy. Because introductory texts on statistics and psychometrics are sufficient to understand its content, the monograph may be used in advanced courses on applied psychometrics, and is attractive to both researchers and graduate students in psychology, education, sociology, political science, medicine and marketing, policy research, and opinion research. The monograph provides an in-depth discussion of classical test theory and factor models in Chapter 2; nonparametric and parametric item response theory in Chapter 3 and Chapter 4, respectively; latent class models and cognitive diagnosis models in Chapter 5; and discusses pairwise comparison models, proximity models, response time models, and network psychometrics in Chapter 6. The chapters start with the theory and methods of the measurement model and conclude with a real-data example illustrating the measurement model.
"The phenomenon of learning has always been of fundamental interest to psychologists. Although much of the research in this area approaches the process of learning as a consequence of direct experience, this volume is principally concerned with learning by example. A widening interest in modeling and vicarious processes of learning has been apparent in recent years. Psychological Modeling highlights the most important work done in the subject and offers an extensive review of the major theories of learning by modeling. In his introductory essay, the editor identifies the most important controversial issues in the field of observational learning and reviews a large body of research findings. Among the questions debated in this volume are: How do observers form an internal model of the outside world to guide their actions? What role does reinforcement play in observational learning? What is the relative effectiveness of models presented in live action, in pictorial presentations, or through verbal description? What is the scope of modeling influences? What factors determine whether people will learn what they have observed? What types of people are most susceptible to modeling influences, and what types of models are most influential in modifying the behavior of others?This volume deals with an important problem area in a lively fashion. Its special organization makes it a stimulating adjunct to all courses in psychology - undergraduate and graduate - in which psychological modeling is discussed. It also provides a readable introduction for educators and other professionals seeking reliable information on the state of knowledge in this area."--Provided by publisher.
Creating Models in Psychological Research by Olivier Mesly Pdf
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.
A Beginner's Guide to Structural Equation Modeling by Randall E. Schumacker,Richard G. Lomax Pdf
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.
Sixth International Conference on Cognitive Modeling - ICCM - 2004 by Marsha C. Lovett Pdf
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;
Principles and Practice of Structural Equation Modeling by Rex B. Kline Pdf
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.
Human Modeling for Bio-Inspired Robotics by Jun Ueda,Yuichi Kurita Pdf
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
Psychometrics and Psychological Assessment by Carina Coulacoglou,Donald H. Saklofske Pdf
Psychometrics and Psychological Assessment: Principles and Applications reports on contemporary perspectives and models on psychological assessment and their corresponding measures. It highlights topics relevant to clinical and neuropsychological domains, including cognitive abilities, adaptive behavior, temperament, and psychopathology.Moreover, the book examines a series of standard as well as novel methods and instruments, along with their psychometric properties, recent meta-analytic studies, and their cross-cultural applications. Discusses psychometric issues and empirical studies that speak to same Explores the family context in relation to children’s behavioral outcomes Features major personality measures as well as their cross cultural variations Identifies the importance of coping and resilience in assessing personality and psychopathology Examines precursors of aggression and violence for prediction and prevention
Process Data in Educational and Psychological Measurement, 2nd Edition by Hong Jiao,Qiwei He,Bernard Veldkamp Pdf
Publisher’s note: In this 2nd edition: The following article has been added: Jiao H, He Q and Veldkamp BP (2021) Editorial: Process Data in Educational and Psychological Measurement. Front. Psychol. 12:793399. doi: 10.3389/fpsyg.2021.793399 The following article has been added: Reis Costa D, Bolsinova M, Tijmstra J and Andersson B (2021) Improving the Precision of Ability Estimates Using Time-On-Task Variables: Insights From the PISA 2012 Computer-Based Assessment of Mathematics. Front. Psychol. 12:579128. doi: 10.3389/fpsyg.2021.579128 The following article has been removed: Minghui L, Lei H, Xiaomeng C and Potměšilc M (2018) Teacher Efficacy, Work Engagement, and Social Support Among Chinese Special Education School Teachers. Front. Psychol. 9:648. doi: 10.3389/fpsyg.2018.00648
