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.

Adult autism assessment is a new and fast-growing clinical area, for which professionals often feel ill-equipped. Autistic adults are often misdiagnosed which has enormous implications for their mental health. This accessible and comprehensive adult autism assessment handbook covers the most up to date research and best practice around adult autism assessment, centering the person's internal experiences and sense-making in clinical assessment, rather than subjective observation, thus providing the clinician with a truly paradigm shifting Neuro-Affirmative approach to autism assessment. Traditional clinical assessment tools are comprehensively explored and unpacked to enable the clinician to have full confidence in aligning traditional criteria to the Autistic person's subjective experiences. Full of additional resources like language guidelines and an exploration of the common intersections between Autistic experience and the effects of trauma, mental health and more, this book supplies a breadth of knowledge on key areas that affect Autistic adults in everyday life. The mixed team of neurotypical and neurodivergent authors describe lived experience of Autistic adults, a how-to for conducting Neuro-Affirmative assessments and post-assessment support, alongside reflections from practice. This book also has a directory of further resources including downloadable forms that you can use to prepare for your own assessments and a downloadable deep dive into Autistic perception. This guide will also support professionals through every step of the assessment process.

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.

Your Psychology Project Handbook is the complete guide to preparing, carrying out and writing up a psychology research project or dissertation. Designed to support you through every stage of the project process, this second edition has been updated to include new chapters on doing online research and employability. The text offers you advice and practical guidance on each aspect of the project including ethics, choosing a research question, working with a supervisor and more. Whether it's qualitative or quantitative, the handbook provides you with all the support you need to carry out your project with confidence.

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 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.

For introductory psychology courses at two year or four year institutions. Also for specialty classes throughout the discipline that focus on critical thinking, science vs. pseudoscience, and discrimating valid research in the field. Keith Stanovich's widely used and highly acclaimed book helps students become more discriminating consumers of psychological information, helping them recognize pseudoscience and be able to distinguish it from true psychological research. Stanovich helps instructors teach critical thinking skills within the rich context of psychology. It is the leading text of its kind. How to Think Straight About Psychology says about the discipline of psychology what many instructors would like to say but haven't found a way to. That is one reason adopters have called it "an instructor's dream text" and often comment "I wish I had written it. It tells my students just what I want them to hear about psychology".

This handbook on human multitasking provides an integrative overview on simultaneous and sequential multitasking and thus combines theorizing on dual task limitations as well as costs related to task switching. In addition to a wide range of empirical findings and their theoretical integration, the editors provide a number of applications of multitasking, like training, interindividual differences and applied research in traffic and health psychology and music expertise. The book is suitable for people interested in multitasking, that is, for researchers and graduate students of cognitive psychology, movement science, sport psychology, cognitive neuroscience, cognitive and neurological rehabilitation, aging sciences, and broader cognitive science.

This book will help undergraduate psychology students to write practical reports of experimental and other quantitative studies in psychology. It is designed to help with every stage of report writing and provides a resource that students can refer to throughout their degree, up-to and including when writing up a final year undergraduate project. Now fully updated in its fourth edition, this book maps to the seventh edition of the APA guidelines and offers more comprehensive advice, guidelines and recommendations than ever before. Students will benefit from: *Coverage of different forms of quantitative study, including online studies and studies that use questionnaires, as well as experiments *A range of handy test yourself questions (with answers at the end of the book) *Self-reflection questions to prompt deeper understanding *Summary sections that articulate the main points and provide a useful revision aid *An Index of Concepts indicating where in the book every concept is introduced and defined *Updated advice on how to find and cite references *Expanded coverage of ethics in quantitative research, including how to write ethically *Common mistake symbols, flagging areas where its easy to be caught out Peter Harris is Emeritus Professor of Psychology at the University of Sussex, UK where he led the Social and Applied Psychology Group. He has taught research design and statistics for many years. He has published extensively in social and health psychology. Matthew J. Easterbrook is Senior Lecturer in Psychology at the University of Sussex, UK. He has taught statistics at a national and international level. Jessica S. Horst is Reader in Psychology at the University of Sussex, UK, where she is also the Director of Teaching and Learning. She has taught research methods in both the USA and the UK.

The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19-23, 2021. About 500 individuals contributed paper presentations, symposiums, poster presentations, pre-conference workshops, keynote presentations, and invited presentations. Since the 77th meeting, Springer has published the conference proceedings volume from this annual meeting to allow presenters to share their work and ideas with the wider research community, while still undergoing a thorough review process. This proceedings covers a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, longitudinal measures, and cognitive diagnostic models.

This is the second edition of the comprehensive treatment of statistical inference using permutation techniques. It makes available to practitioners a variety of useful and powerful data analytic tools that rely on very few distributional assumptions. Although many of these procedures have appeared in journal articles, they are not readily available to practitioners. This new and updated edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses.

Well known for applying mindfulness to the treatment of depression, pioneering researcher John Teasdale now explores the broader changes that people can experience through contemplative practices. What goes on in our minds when we are mindful? What does it mean to talk of mindfulness as a way of being? From a scientific perspective, how do core elements of contemplative traditions have their beneficial effects? Teasdale describes two types of knowing that human beings have evolved--conceptual and holistic-intuitive--and shows how mindfulness can achieve a healthier balance between them. He masterfully describes the mechanisms by which this shift in consciousness not only can reduce emotional suffering, but also can lead to greater joy and compassion and a transformed sense of self.

Alan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book. The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements. The revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.

Behavioral genetics is a fast-growing, multidisciplinary field which attempts to explain the influence of genetic and environmental factors on behavior through the lifespan. The preferred investigative technique for teasing out the differences between genetics and the environment is the longitudinal twin study. This book is the first complete publication from the MacArthur Longitudinal Twin Study (MALTS) that is by far the most ambitious and comprehensive logitudinal twin study to date. The goal of such an in-depth study was merely not to provide thorough descriptions of developmental change between the ages of one and three years, but to offer an original theoretical framework that explains how change occurs in different domains and how genetics and the environment influence those changes. In fact, this rigorous study will set the agenda for developmental psychology and behavioral genetics for decades to come.

This open access book proposes a conceptual framework for understanding measurement across a broad range of scientific fields and areas of application, such as physics, engineering, education, and psychology. It addresses contemporary issues and controversies within measurement in light of the framework, including operationalism, definitional uncertainty, and the relations between measurement and computation, and describes how the framework, operating as a shared concept system, supports understanding measurement’s work in different domains, using examples in the physical and human sciences. This revised and expanded second edition features a new analysis of the analogies and the differences between the error/uncertainty-related approach adopted in physical measurement and the validity-related approach adopted in psychosocial measurement. In addition, it provides a better analysis and presentation of measurement scales, in particular about their relations with quantity units, and introduces the measurand identification/definition as a part of the "Hexagon Framework" along with new examples from the physical and psychosocial sciences. Researchers and academics across a wide range of disciplines including biological, physical, social, and behavioral scientists, as well as specialists in measurement and philosophy appreciate the work’s fresh and provocative approach to the field at a time when sound measurements of complex scientific systems are increasingly essential to solving critical global problems.

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.

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison. Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfect refresher for graduate students, early career psychologists, or anyone else interested in seeing the big picture of statistical inference. Concise and conversational, its highly readable tone will engage any reader who wants to learn the basics of psychological statistics.

Beginning-to-end, step-by-step guidance on how to conduct multi-method psychological assessments from a leader in the field The Second Edition of Conducting Psychological Assessment: A Guide for Practitioners delivers an insightful overview of the overall integrative psychological assessment process. Rather than focus on individual tests, accomplished assessment psychologist, professor, and author A. Jordan Wright offers readers a comprehensive roadmap of how to navigate the multi-method psychological assessment process. This newest edition maintains the indispensable foundational models from the first edition and adds nuance and details from the author's last ten years of clinical and academic experience. New ways of integrating and reconciling conflicting data are discussed, as are new models of personality functioning. All readers of this book will benefit from: A primer on the overall process of psychological assessment An explanation of how to integrate the data from the administration, scoring, and interpretation phases into a fully conceptualized report Actual case examples and sample assessment cases that span the entire process Perfect for people in training programs in health service psychology, including clinical, counseling, school, and forensic programs, Conducting Psychological Assessment also belongs on the bookshelves of anyone conducting assessments of human functioning.

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.

This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models. The maximum likelihood estimation procedures for latent class models are constructed via the expectation-maximization (EM) algorithm, and along with it, latent profile and latent trait models are also treated. Entropy-based discussions for latent class models are given as advanced approaches, for example, comparison of latent classes in a latent class cluster model, assessing latent class models, path analysis, and so on. In observing human behaviors and responses to various stimuli and test items, it is valid to assume they are dominated by certain factors. This book plays a significant role in introducing latent structure analysis to not only young researchers and students studying behavioral sciences, but also to those investigating other fields of scientific research.

This is an international and interdisciplinary volume that provides a new look at the general background of the social sciences from a philosophical perspective and provides directions for methodology. It seeks to overcome the limitations of the traditional treatises of a philosophy of science rooted in the physical sciences, as well as extend the coverage of basic science to intentional and socially normative features of the social sciences. The discussions included in this book are divided into four thematic sections: Social and cognitive roots for reflexivity upon the research process Philosophies of explanation in the social sciences Social normativity in social sciences Social processes in particular sciences Social Philosophy of Science for the Social Sciences will find an interested audience in students of the philosophy of science and social sciences. It is also relevant for researchers and students in the fields of psychology, sociology, economics, anthropology, education, and political science.

This book focuses on the use of the Rasch measurement model in validation studies and in analyzing the psychometric properties of a variety of test instruments, questionnaires, and scales in international contexts. It broadly examines the development and application of Rasch modeling, providing in-depth analyses of the properties of various scales used in the fields of education, and humanities and social sciences research. The book includes exemplary works on educational research and practices that highlight recent and innovative applications, as well as theoretical and practical aspects of Rasch modeling. Readers will find it helpful to understand the latest approaches to Rasch measurement in educational research, as well as practices for future studies and quantitative research. 'This book provides a diverse set of perspectives on Rasch models from scholars across the globe. The volume is both theoretical and applied. The first section of the book provides an overview of Rasch modeling and explains the theoretical and conceptual framework underlying the Rasch model. The remainder of the book highlights multiple applications of the Rasch model within educational assessment as well as several examples of how Rasch modeling can be used for validation studies. This volume showcases the wide variety of ways in which Rasch modeling can be applied to assessment data to provide insights into students' achievement and learning and to improve instruction.'-Betsy McCoach, University of Connecticut, USA. 'A well-written collection of articles. Grouped by the theoretical and applied aspects of Rasch measurement, each chapter in this edited volume makes notable contributions to knowledge and practice. Written by leading scholars in the field, these chapters were written in a clear, succinct, and assertive manner, providing readers with up-to-date information, analyses, and debates. This book should be found in the core collection of emerging researchers and established scholars in educational measurement.'-Timothy Teo, Murdoch University, Australia.