Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

This book offers a practical approach to fostering self-efficacy and improving understanding of others' behavior. The authors introduce the ID37 instrument as a psychological model and assessment procedure for analyzing personalities and motivations, showing how exploring one's own personality can lead to more effective self-direction, greater satisfaction with life, and more profound success. By combining aspects of motivational psychology with practical diagnostics application, the book aims to demonstrate the practical benefits of motivation analysis on understanding identity formation and development. Among the topics addressed: Personality traits and states Motivation-driven action The 16 motives and their impact Obstacles to achieving satisfaction Case studies from business coaching, leadership, and HR management scenarios * Including the basics on motivational psychology as well as a variety of case studies and practical tips for day-to-day work, The ID37 Personality Analysis is a useful reference for students and researchers interested in personality development as well as HR managers and leaders looking to deepen their knowledge of motivational psychology.

Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry. This important book presents the inherent potential for data mining and analysis of qualitative data in scientometrics. The author provides select cases of scientometric studies in the humanities and social sciences, explaining their research objectives, sources of data and methodologies. It illustrates how data can be gathered not only from prominent online databases and repositories, but also from journals that are not stored in these databases. With the support of specific examples, the book shows how data on demographic variables can be collected to supplement scientometric data. The book deals with a research methodology which has an increasing applicability not only to the study of science, but also to the study of the disciplines in the humanities and social sciences.

Research on cognitive disorders is challenging due to the complexity of functions and numerous variables involved. The main purpose of this book is to effectively address the methodological issues and controversies in cognitive disorders research. First, it reviews the concept of human cognition as a complex activity involving interconnected mental and cerebral processes (its systemic structure), which represent the natural and social-cultural world by means of signs (its mediated, semiotic nature) and result from the internalization (or appropriation by the individual) of external actions and relations with things and persons (its cultural-historical origin). Subsequently, methodological issues are examined, including the use of the systemic and network approach in neuropsychological research, the concepts of single and double dissociation, single-case versus group studies, problems of brain-behavioral correlations using the lesion method and functional neuroimaging, the influence of task-relevant variables (confounders) related to the patient (e.g., age, education), to the lesion (size, etiology), and to the tests and testing conditions (ecological validity, examiners experience). Finally, readers are given the fundamentals of statistics applied to biomedical and psychological research, with illustrative examples of how to calculate Z score, effect size, 2 test, t test, Pearsons correlation coefficient, and simple linear regression. Methodological problems in current cognitive research on early multiple sclerosis, medial temporal lobe epilepsy, mild cognitive impairment and dementia are examined in detail.

This book explores test adaptation, a scientific and professional activity now spanning all of the social and behavioural sciences. Adapting tests to various linguistic and cultural contexts is a critical process in today's globalized world, and requires a combination of knowledge and skills from psychometrics, cross-cultural psychology and others. This volume provides a step-by-step approach to cross-cultural test adaptation, emphatically presented as a melange between science and practice. The volume is driven by the first-hand practical experience of the author in a large number of test adaptation projects in various cultures, and is supported by the consistent scientific body of knowledge accumulated over the last several decades on the topic. It is the first of its kind: an in-depth treatise and guide on why and how to adapt a test to a new culture in such a way as to preserve its psychometric value.

The author proposes an epistemological strategy to resolve controversial issues in the indigenous psychology (IP) movement. These include the nature of IPs, scientific standards, cultural concepts, philosophy of science, mainstream psychology, generalization of findings, and the isolation and independence of IPs. The approach includes a two-step strategy for construction of culture-inclusive theories, based on a Mandala model of self and a Face and Favor model for social interaction, and the use of these models to develop culture-inclusive theories for Confucian morphostasis. The author has successfully used this strategy, and encourages others to use it to construct their own culture-inclusive theories.

This book embeds a novel evolutionary analysis of human group selection within a comprehensive overview of multilevel selection theory, a theory wherein evolution proceeds at the level of individual organisms and collectives, such as human families, tribes, states, and empires. Where previous works on the topic have variously supported multilevel selection with logic, theory, experimental data, or via review of the zoological literature; in this book the authors uniquely establish the validity of human group selection as a historical evolutionary process within a multilevel selection framework. Select portions of the historical record are examined from a multilevel selectionist perspective, such that clashing civilizations, decline and fall, law, custom, war, genocide, ostracism, banishment, and the like are viewed with the end of understanding their implications for internal cohesion, external defense, and population demography. In doing so, its authors advance the potential for further interdisciplinary study in fostering, for instance, the convergence of history and biology. This work will provide fresh insights not only for evolutionists but also for researchers working across the social sciences and humanities.

This edited volume offers useful resources for researchers conducting fieldwork in various global conflict contexts, bringing together a range of international voices to relay important methodological challenges and opportunities from their experiences. The book provides an extensive account of how people do conflict research in difficult contexts, critically evaluating what it means to do research in the field and what the role of the researcher is in that context. Among the topics discussed: Conceptualizing the interpreter in field interviews in post-conflict settings Data collection with indigenous people Challenges to implementation of social psychological interventions Researching children and young people's identity and social attitudes Insider and outsider dynamics when doing research in difficult contexts Working with practitioners and local organizations Researching Peace, Conflict, and Power in the Field is a valuable guide for students and scholars interested in conflict research, social psychologists, and peace psychologists engaged in conflict-related fieldwork.

Acculturation is the process of group and individual changes in culture and behaviour that result from intercultural contact. These changes have been taking place forever, and continue at an increasing pace as more and more peoples of different cultures move, meet and interact. Variations in the meanings of the concept, and some systematic conceptualisations of it are presented. This is followed by a survey of empirical work with indigenous, immigrant and ethnocultural peoples around the globe that employed both ethnographic (qualitative) and psychological (quantitative) methods. This wide-ranging research has been undertaken in a quest for possible general principles (or universals) of acculturation. This Element concludes with a short evaluation of the field of acculturation; its past, present and future.

This book summarizes the latest research findings in the neurocircuitry of innate behaviors, covering major topics such as innate fear, aggression, feeding, reward, social interaction, parental care, spatial navigation, and sleep-wake regulation. For decades, humans have been fascinated by wild animals' instincts, like the annual two-thousand-mile migration of the monarch butterfly in North American, and the "imprint" behavior of newborn birds. Since these instincts are always displayed in stereotypical patterns in most individuals of a given species, the neural circuits processing such behaviors must be genetically hard-wired in the brain. Recently, with the development of modern techniques, including optogenetics, retrograde and anterograde virus tracing, and in vivo calcium imaging, researchers have been able to determine and dissect the specific neural circuits for many innate behaviors by selectively manipulating well-defined cell types in the brain. This book discusses recent advances in the investigation of the neural-circuit mechanisms underlying innate behaviors.

Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day...or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data. Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can-and should-be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome. This book includes these features designed to make your statistical journey more enjoyable: Vignettes of elections, including maps, to provide concrete bases for the material In-chapter cues to help one avoid the heavy math-or to focus on it End-of-chapter problems designed to review and extend that which was covered in the chapter Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections. Author Ole J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.

Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data Supplementary website with code, data, sample chapters, and errata This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.

This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, "The Handbook of Research and Quantitative Methods In Psychology" presents:
* experimental procedures,
* research designs,
* statistical methods,
* information theory,
* psychophysics,
* behavioral terminology,
* scaling and testing.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer reviewed presentations given at the 84th Annual International Meeting of the Psychometric Society (IMPS), organized by Pontificia Universidad Catolica de Chile and held in Santiago, Chile during July 15th to 19th, 2019. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. It draws approximately 500 participants from around the world, featuring paper and poster presentations, symposiums, workshops, keynotes, and invited presentations. Leading experts and promising young researchers have written the included chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 8th in a series of recent volumes to cover research presented at the IMPS.

This book explores and provides an overview of the Norwegian psychologist Jan Smedslund's life work on Psycho-logic. His contributions to science have been radical not only in challenging the empirical foundation of psychology, but also in seeking to develop a viable alternative. This book brings together various reflections on his key contributions from the 1960s to the present day. The volume features three chapters by Jan Smedslund, offering his updated views on psychological science and psychotherapy. It also features contributions from several scholars that critically evaluates his legacy. His seminal ideas are discussed, revised and expanded upon and the questions raised are put in relevant historical and interdisciplinary context. Respect for Thought is a valuable resource for psychological researchers, historians of psychology, cultural psychologists, critical psychologists, theoretical psychologists, clinical psychologists and psychotherapists, social scientists, philosophers of psychology, and philosophers of science.

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

Needs Assessment for Learning and Performance offers comprehensive coverage of the knowledge and skills needed to develop and conduct needs assessments and to analyze, interpret, and communicate results to clients and organizations. Though critical to planning any performance improvement system, needs assessments can feel abstract and vague to students who have not yet managed the process in a professional setting. This first-of-its-kind textbook uses a variety of real-world examples to connect major theories and models to effective principles for practice. Each chapter offers guiding questions, key terms and concepts, recommended readings, and case studies illustrating how needs assessment training can be applied. Graduate students and researchers of instructional design, human resources, performance improvement, program evaluation, and other programs will find this volume relevant to a range of academic and organizational contexts.

Needs Assessment for Learning and Performance offers comprehensive coverage of the knowledge and skills needed to develop and conduct needs assessments and to analyze, interpret, and communicate results to clients and organizations. Though critical to planning any performance improvement system, needs assessments can feel abstract and vague to students who have not yet managed the process in a professional setting. This first-of-its-kind textbook uses a variety of real-world examples to connect major theories and models to effective principles for practice. Each chapter offers guiding questions, key terms and concepts, recommended readings, and case studies illustrating how needs assessment training can be applied. Graduate students and researchers of instructional design, human resources, performance improvement, program evaluation, and other programs will find this volume relevant to a range of academic and organizational contexts.

In this book the author's theoretical framework builds on linguistic and psychological research, arguing that similar image-schematic notions should be grouped together into interconnected family hierarchies, with complexity increasing with regard to the addition of spatial and conceptual primitives. She introduces an image schema logic as a language to model image schemas, and she shows how the semantic content of image schemas can be used to improve computational concept invention. The book will be of value to researchers in artificial intelligence, cognitive science, psychology, and creativity.

The second edition of this textbook provides expanded and updated guidance on the process of psychoeducational assessment and report writing for children in grades K-12. It casts the entire process within a newly proposed evidence-based psychoeducational assessment and report writing framework, and explains how to convey results through detailed, well-written reports. The new edition guides readers, step by step, through the assessment process - collecting data, writing reports, and communicating conclusions - for students with conditions spanning the range of IDEA classifications. Chapters offer a broad understanding of assessment and communication skills as well as the ethical, legal, cultural, and professional considerations that come with psychoeducational evaluation. In addition, chapters significantly expand on the coverage of learning disabilities, autism spectrum, intellectual disabilities, gifted, and other health-impaired and emotional disturbance assessment. The text updates sample reports from the previous edition, offering annotated commentary in the report explaining salient points and major decisions, and incorporates additional report samples to demonstrate fully the assessment and report writing process. Key topics addressed in the revised and expanded edition include: Psychoeducational assessment and report writing in school and clinic settings. Interview formats from various perspectives, including caregivers/parents, teachers, and students. Assessment of culturally and linguistically diverse youth. Assessment of social, emotional, behavioral and mental health difficulties that may affect students' educational functioning. Common academic difficulties, including reading, writing and mathematics. Common recommendations and accommodations for behavioral, social, emotional, and learning needs. Incorporation of response-to-intervention/curriculum based assessment data into the psychoeducational report. Psychoeducational Assessment and Report Writing, 2nd Edition, is an essential textbook for graduate students as well as researchers, professors, and professionals in child and school psychology, educational assessment, testing, and evaluation, social work, and related disciplines.

This groundbreaking book offers a comprehensive theory of executive functioning (EF) with important clinical implications. Synthesizing cutting-edge neuropsychological and evolutionary research, Russell A. Barkley presents a model of EF that is rooted in meaningful activities of daily life. He describes how abilities such as emotion regulation, self-motivation, planning, and working memory enable people to pursue both personal and collective goals that are critical to survival. Key stages of EF development are identified and the far-reaching individual and social costs of EF deficits detailed. Barkley explains specific ways that his model may support much-needed advances in assessment and treatment. See also Barkley's empirically based, ecologically valid assessment tools: Barkley Deficits in Executive Functioning Scale (BDEFS for Adults) and Barkley Deficits in Executive Functioning Scale--Children and Adolescents (BDEFS-CA).

This book offers a refreshing new approach to mental health by showing how 'mental health' behaviours, lived experiences, and our interventions arise from our social worlds and not from our neurophysiology gone wrong. It is part of a trilogy which offers a new way of doing psychology focusing on people's social and societal environments as determining their behaviour, rather than internal and individualistic attributions. 'Mental health' behaviours are carefully analysed as ordinary behaviours which have become exaggerated and chronic because of the bad life situations people are forced to endure, especially as children. This shifts mental health treatments away from the dominance of psychology and psychiatry to show that social action is needed because many of these bad life situations are produced by our modern society itself. By providing new ways for readers to rethink everything they thought they knew about mental health issues and how to change them, Bernard Guerin also explores how by changing our environmental contexts (our local, societal, and discursive worlds), we can improve mental health interventions. This book reframes 'mental health' into a much wider social context to show how societal structures restrict our opportunities and pathways to produce bad life situations, and how we can also learn from those who manage to deal with the very same bad life situations through crime, bullying, exploitation, and dropping out of mainstream society, rather than through the 'mental health' behaviours. By merging psychology and psychiatry into the social sciences, Guerin seeks to better understand how humans operate in their social, cultural, economic, patriarchal, discursive, and societal worlds, rather than being isolated inside their heads with a 'faulty brain', and this will provide fascinating reading for academics and students in psychology and the social sciences, and for counsellors and therapists.

Since publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outstanding research reference. Starting with the unified theory, the authors explain in the clearest of terms the subsequent developments. In fact, even the most modern innovations of survey sampling, both methodological and theoretical, have found a place in this concise volume. See what's new in the Second Edition: Descriptions of new developments A wider range of approaches to common problems Increased coverage of methods that combine design and model-based approaches, adjusting for sample errors Covering the current state of development of essential aspects of theory and methods of survey sampling, the authors have taken great care to avoid being dogmatic and eschew taking sides in their presentation. They have created tool for graduate and advanced level students and a reference for researchers and practitioners that goes beyond the coverage found in most textbooks.

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.