Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

These two companion volumes provide a comprehensive review and critical evaluation of the major DSM-III and DSM-III-R child disorders. Their major goal is to provide diagnostic and assessment guidelines that are based on scientific literature in specific clinical domains. Each chapter contains a discussion of the historical background of a particular diagnosis, definitional issues, a critical but selective review of the literature addressing the diagnosis in question, proposed changes in the diagnostic criteria based on the available literature, and proposed assessment models and methods based on the designated criteria. Given the scientific bases for many of these discussions of diagnostic criteria, these two volumes will serve professionals and graduate students in a wide variety of fields: clinical child psychology, child psychiatry, pediatrics, pediatric and school psychology, special education, social work, and other child mental health specialties.

This groundbreaking study on the psycholinguistics of spelling presents the author's original empirical research on spelling and supplies the theoretical framework necessary to understand how children's ability to write is related to their ability to speak a language. The author explores areas in a field dominated by work traditionally concerned with the psychodynamics of reading skills and, in so doing, highlights the importance of learning to spell for both psycholinguists and educators, since as they begin to spell, children attempt to represent the phonological, or sound form, of words. The study of children's spelling can shed light on the nature of phonological systems and can illuminate the way sounds are organized into larger units, such as syllables and words. Research on children's spelling leads directly to an understanding of the way phonological knowledge is acquired and how phonological systems change with the development of reading and writing ability. In addition to this insight concerning cognitive processes, the findings presented here have implications for how spelling should be taught and why some writing systems are easier to master than others. The work will interest a wide range of cognitive and developmental psychologists, psycholinguists, and educational psychologists, as well as linguists and educators interested in psycholinguistics.

This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and log-multiplicative models and defines how the presence of association is tested using hypotheses of independence and quasi-independence. The application of the procedures to real data is then detailed. This volume does not presuppose prior experience or knowledge of statistics beyond basic courses in fundamentals of probability and statistical inference. It serves as an ideal reference for professionals or as a textbook for graduate or advanced undergraduate students involved in statistics in the social sciences.

This new edition of the Handbook of International Psychology chronicles the discipline of psychology as it evolves in different regions, showing a field of study and profession unified by core principles. It surveys the history, methodology, education and training, and the future of psychology in ten distinct regions across six continents. Each chapter follows a uniform outline, unifying the volume as a whole, but allowing for the cultural diversity and status of psychology in each country. This comprehensive volume will be useful to helping professionals understand the context of psychology around the world and will make a wonderful reference for students who are new to the field.

Rigorous, yet readable. The author presents the material with sufficient elaboration, explanation, and examples that not only interest the student, but make it understandable. Introduction to Behavioral Research Methods incorporates the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), and shows students how to conceptualize questions, measure variables, design studies, and analyze data. Chapters on research ethics and scientific writing (including the most recent version of APA style) round out the book. Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" provide practical examples and pique student interest. Teaching & Learning Experience Personalize Learning - MySearchLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals. Improve Critical Thinking - New up-to-date Behavioral Research Case Studies help students apply research to practice. Engage Students - The text is designed to make research methods understandable, useful, and interesting for students. Explore Research - Real research, tidbits about the lives of famous researchers, and intriguing controversies that have arisen in behavioral science are included. A lab manual in MySearchLab helps engage students in the research process. Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors. Note: MySearchLab with eText does not come automatically packaged with this text. To purchase MySearchLab with eText, please visit: www.mysearchlab.com or you can purchase a valuepack of the text + MySearchLab with eText (at no additional cost). VP: 0205196284 / 9780205196289

Individuals with serious and persistent mental illnesses, including schizophrenia and affective disorders, often experience cognitive deficits that make it challenging to perform everyday tasks. For example, they may have difficulty paying attention, remembering and learning, thinking quickly, and solving problems, and this may interfere with functioning at work, school, and in social and living situations. Cognitive remediation is an evidence-based behavioral treatment for people who are experiencing cognitive impairments that interfere with role functioning. Cognitive Remediation for Psychological Disorders contains all the information therapists need to set up a cognitive remediation program that helps clients strengthen the cognitive skills necessary for everyday functioning. The program described is called Neuropsychological and Educational Approach to Remediation (NEAR), an evidence-based approach that utilizes carefully crafted instructional techniques which promote learning. The goals of NEAR are to provide a positive learning experience and to promote independent learning and optimal cognitive functioning in daily life. The second edition of this popular Therapist Guide provides step-by-step instructions on how to implement NEAR techniques with patients. Guidelines for setting up and running a successful cognitive remediation program are laid out in an easy-to-follow format. Therapists will learn how to choose appropriate cognitive exercises, recruit and work with clients, perform intakes, and create treatment plans. This Guide comes complete with all the tools necessary for facilitating treatment, including program evaluation forms and client handouts.

Statistics for Psychology is an interactive, highly visual, and accessible guide to the statistical practices you will encounter as a psychology student. Its software-agnostic approach keeps the focus on the core principles, rather than getting bogged down in complicated formulae and jargon. This book is based on the authors' BPS commended programme. It focusses on providing the strong foundational understanding you'll need to use statistics confidently and creatively rather than the software-specific way in which statistics is often taught. This edition includes: new content throughout on being a responsible researcher, a new chapter to support you in presenting your research to a critical audience, carefully designed graphics to explain statistical principles, "your turn" exercises to test your understanding of each chapter. This book is the ideal guide for students approaching statistics and research methods in psychology for the first time. Roger Watt is Emeritus Professor of Psychology at the University of Stirling. Elizabeth Collins is a researcher with a PhD in Psychology.

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient.
Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.

Researchers and students in developmental psychology have pointed out that the numerous findings from research about human development seem disconnected and that it is difficult to fit fragmented bits of information together. Studies of separate domains of functioning (e.g., cognition, emotion, language, social relationships, identity) divide the field and there are increasing calls for integrative conceptions of human development. In Exploring the Dynamics of Human Development, Dr. Catherine Raeff constructs a theoretical framework that enables readers to reconcile seemingly disparate information by thinking systematically about dynamic developmental processes. This approach integrates systems theory, organismic-developmental theory, and sociocultural theory, as well as research across cultures and the life span Raeff brings developmental processes into coherence by building a unified theoretical framework that is organized around the following questions: What develops during development?; What happens during development?; and How does development happen? Using a wide range of illustrative empirical examples, Raeff conceptualizes what happens during development in terms of differentiation and integration and explains how development happens through individual, social, and cultural processes. The framework helps to overcome confusion in the field and explore issues such as individual and cultural variability, looking beyond age-based changed to understand development, and resolving fragmentation by starting with whole person functioning. The framework also opens up new directions for research. This book will be useful to developmentalists, graduate students, upper level undergraduates, and others who seek an integrative understanding of the field as a whole and a systematic way of thinking about and investigating human action and development.

In the World Library of Psychologists series, international experts present career-long collections of what they judge to be their finest pieces - extracts from books, key articles, salient research findings, and their major practical theoretical contributions. In this fascinating collection, Professor Gordon Claridge charts the development of a model of mental health that blurs the line between madness and sanity, conditions such as schizophrenia and other forms of psychosis seen as dimensions of 'normal' personality and temperament rather than separate abnormalities. Working with, and influenced by, the late Hans Eysenck, Claridge is celebrated for evolving research on personality and psychological disorders into a revised view of the spectrum of psychotic traits. The concept of schizotypy, re-evaluated by Claridge, sees mental illness not as a pathology suffered by a few, but as the end of a continuum experienced by us all. Psychopathology and Personality Dimensions brings together some of the author's most influential publications on the topics of schizotypy and psychoticism, personality disorders, and the use of drug techniques to investigate normal and abnormal individual differences. Interspersed throughout with specially-written retrospectives by Professor Claridge, looking back at his work and contextualising where it sits in the wider literature, the collection illustrates a radical and influential model of mental illness that continues to resonate today. This book is an essential resource for all those engaged or interested in the field of personality and psychological disorders.

This book is the second edition of Facet Theory and the Mapping Sentence: Evolving Philosophy, Use and Application (2014). It consolidates the qualitative and quantitative research positions of facet theory and delves deeper into their qualitative application in psychology, social and the behavioural sciences and in the humanities. In their traditional quantitative guise, facet theory and its mapping sentence incorporate multi-dimensional statistics. They are also a way of thinking systematically and thoroughly about the world. The book is particularly concerned with the development of the declarative mapping sentence as a tool and an approach to qualitative research. The evolution of the facet theory approach is presented along with many examples of its use in a wide variety of research domains. Since the first edition, the major advance in facet theory has been the formalization of the use of the declarative mapping sentence and this is given a prominent position in the new edition. The book will be compelling reading for students at all levels and for academics and research professionals from the humanities, social sciences and behavioural sciences.

El trabajo aborda una serie de criterios psicopedagogicos, que deben tenerse en cuenta para la formacion de valores tales como: En que sujetos deseamos educar valores?. Que valores posee ese joven universitario?. Cual es su nivel de motivacion profesional? Cuales valores educar? Como concebir a la personalidad? De cuales principios psicopedagogicos partir? Estos criterios fueron la base de la metodologia elaborada para la formacion de valores desde la disciplina Gestion del Talento Humano, en la Universidad Agostinho Neto, cuyos pasos se muestran a continuacion. Primer paso: Realizar un diagnostico inicial. Segundo paso: disenar el proyecto educativo de la disciplina. Tercer paso: realizar un diagnostico de salida. La puesta en practica de dicha metodologia durante varios anos, ha permitido incrementar la eficiencia y eficacia del proceso de ensenanza aprendizaje, lo cual se manifiesta en una mejor preparacion cientifico-tecnica y moral de los egresados. Palabras Claves: Formacion de Valores

The topic of consciousness is truly multidisciplinary, attracting researchers and theorists from diverse backgrounds. It is now widely accepted that previously disparate areas all have contributions to make to the understanding of the nature of consciousness. Thus, we now have computational scientists, neuroscientists, and philosophers all engaged in the same effort. This book illustrates these three approaches, with chapters provided by some of the most important and provocative figures in the field. The first section is concerned with philosophical approaches to consciousness. One of the fundamental issues here is that of subjective feeling or qualia. The second section focuses on approaches from cognitive neuroscience. Patients with different types of neurological problems, and new imaging techniques, provide rich sources of data for studying how consciousness relates to brain function. The third section includes computational approaches looking at the quantitative relationship between brain processes and conscious experience. Cognition, Computation, and Consciousness represents a uniquely integrated and current account of this most fascinating and intractable subject.

This book uses visual psychological anthropology to explore trauma, gendered violence, and stigma through a discussion of three ethnographic films set in Indonesia: 40 Years of Silence (Lemelson 2009), Bitter Honey (Lemelson 2015), and Standing on the Edge of a Thorn (Lemelson 2012). This exploration "widens the frame" in two senses. First, it offers an integrative analysis that connects the discrete topics and theoretical concerns of each film to crosscutting themes in Indonesian history, society, and culture. Additionally, it sheds light on all that falls outside the literal frame of the screen, including the films' origins; psychocultural and interpersonal dynamics and constraints of deep, ongoing collaborations in the field; narrative and emotional orientations toward editing; participants' relationship to their screened image; the life of the films after release; and the ethics of each stage of filmmaking. In doing so, the authors widen the frame for psychological anthropology as well, advocating for film as a crucial point of engagement for academic audiences and for translational purposes. Rich with critical insights and reflections on ethnographic filmmaking, this book will appeal to both scholars and students of visual anthropology, psychological anthropology, and ethnographic methods. It also serves as an engrossing companion to three contemporary ethnographic films.

Building on our prior ISA-based Palgrave pivot, the aims of the book are twofold. One, to showcase a newly developed App as a tool in the use of Identity Structure Analysis (ISA) for researchers interested in identity. Second, the book will focus on the use, of a counselling supervision ISA instrument in order to highlight the benefits of ISA for professional development (PD) for any profession. The idea is that any researcher interested in professional and or personal development would be able to use the proposed book to aid them in either a supervision style process of development or the more standard one-to-one annual/biannual approach to PD. Through using ISA in PD, the book and its attendant analyses will encourage discussion, facilitate openness, and highlight potential issues that may lead to burnout, mental health issues, leaving a profession or additional risks. That is, the book will be oriented to informing researchers as to the potential ISA, the App, and the supervision instrument hold for directing PD.

Interpreting Basic Statistics gives students valuable practice in interpreting statistical reporting as it actually appears in peer-reviewed journals. Features of the ninth edition: * Covers a broad array of basic statistical concepts, including topics drawn from the New Statistics * Up-to-date journal excerpts reflecting contemporary styles in statistical reporting * Strong emphasis on data visualization * Ancillary materials include data sets with almost two hours of accompanying tutorial videos, which will help students and instructors apply lessons from the book to real-life scenarios About this book Each of the 63 exercises in the book contain three central components: 1) an introduction to a statistical concept, 2) a brief excerpt from a published research article that uses the statistical concept, and 3) a set of questions (with answers) that guides students into deeper learning about the concept. The questions on the journal excerpts promote learning by helping students * interpret information in tables and figures, * perform simple calculations to further their interpretations, * critique data-reporting techniques, and * evaluate procedures used to collect data. The questions in each exercise are divided into two parts: (1) Factual Questions and (2) Questions for Discussion. The Factual Questions require careful reading for details, while the discussion questions show that interpreting statistics is more than a mathematical exercise. These questions require students to apply good judgment as well as statistical reasoning in arriving at appropriate interpretations. Each exercise covers a limited number of topics, making it easy to coordinate the exercises with lectures or a traditional statistics textbook.

This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

This book acts as an introductory guide to understanding and using the mapping sentence as a tool in social science and humanities research. The book fills the need for a concise text that simply instructs how and when to use a mapping sentence and provides practical examples. Mapping sentences are a major research component and tool of facet theory. The book begins by covering the background to mapping sentence, including the philosophy and theory underpinning it. The following chapter discuss what mapping sentence is, what different kinds of mapping sentences exist, and knowing when and which to use it in a given situation. The book then moves into describing how to write a mapping sentence and how to analyse the information gained from mapping sentence research. It ends with a consideration of the future developments of mapping sentences and their applications across the social sciences and humanities, including in particular psychology, marketing, behavioural biology, art and health.

This book provides an introduction to and a dynamic description of a new psychological paradigm that balances the excesses and distortions of the positive psychology paradigm. It offers valuable theoretical and practical content to its readers on the vital need for, nature of and potential for the reality psychology paradigm. It includes concrete steps for this new paradigm to restore the real power of vital psychological knowledge and techniques, which need to be brought back from their association with artificial positivity. This will provide real human benefits, including real mindfulness, real resilience, real behaviour change, and real communication. The book features a presentation of the underlying principles of reality psychology - including the value of a full connection with reality as it really is - rather than as we would like it to be. This will help people thrive in response to as well as survive our great real-life challenges, by developing a deeply practical understanding of reality psychology knowledge and related practice techniques. The book provides considerable theoretical and practical benefits to students of a variety of psychological courses, including positive psychology related courses, and also of many other wellbeing related courses. The book also provides valuable benefits to non-student readers - expert and non-expert.

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture. The third edition considers significant advances in recent years, among which are: the development of overarching, conceptual frameworks for statistical learning; the impact of "big data" on statistical learning; the nature and consequences of post-model selection statistical inference; deep learning in various forms; the special challenges to statistical inference posed by statistical learning; the fundamental connections between data collection and data analysis; interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy. This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.

This work brings together different perspectives on psychological methods and particularly methods involving experimentation. To encourage a reflective use of research methods, the authors illuminate the historical, philosophical, and scientific dimensions of methodology, providing both defenses and criticisms of experimental psychology. The primary audience of the work are students and researchers in psychological and behavioral sciences, who have an interest in methodology

This book proposes a novel view to explain how we as humans -- contrary to current robots -- can have the impression of consciously feeling things: for example the red of a sunset, the smell of a rose, the sound of a symphony, or a pain.
The book starts off by looking at visual perception. Our ability to see turns out to be much more mysterious than one might think. The eye contains many defects which should seriously interfere with vision. Yet we have the impression of seeing the world in glorious panavision and technicolor. Explaining how this can be the case leads to a new idea about what seeing really is. Seeing is not passively receiving information in the brain, but rather a way of interacting with the world. The role of the brain is not to create visual sensation, but to enable the necessary interactions with the world.
This new approach to seeing is extended in the second part of the book to encompass the other senses: hearing, touch, taste and smell. Taking sensory experiences to be modes of interacting with the world explains why these experiences are different in the way they are. It also explains why thoughts or automatic functions in the body, and indeed the vast majority brain functions, are not accompanied by any real feeling.
The "sensorimotor" approach is not simply a philosophical argument: It leads to scientifically verifiable predictions and new research directions. Among these are the phenomena of change blindness, sensory substitution, "looked but failed to see," as well as results on color naming and color perception and the localisation of touch on the body.
The approach is relevant to the question of what animals and babies can feel, and to understanding what will be necessary for robots to become conscious.