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 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.

Advancing work to effectively study, understand, and serve the fastest growing U.S. ethnic minority population, this volume explicitly emphasizes the racial and ethnic diversity within this heterogeneous cultural group. The focus is on the complex historical roots of contemporary Latino/as, their diversity in skin-color and physiognomy, racial identity, ethnic identity, gender differences, immigration patterns, and acculturation. The work highlights how the complexities inherent in the diverse Latino/a experience, as specified throughout the topics covered in this volume, become critical elements of culturally responsive and racially conscious mental health treatment approaches. By addressing the complexities, within-group differences, and racially heterogeneity characteristic of U.S. Latino/as, this volume makes a significant contribution to the literature related to mental health treatments and interventions.

This book contrasts earlier textbooks on "evidence-based practices." Whereas the latter is a slogan that call for scientific evidence to be used in standardized treatment manuals, ethics-based practices call for individualized treatment that makes the situation meaningful for the patient. The main argument for changing the treatment design from being evidence-based to one based on ethics, is the hypothesis that good health care is based on treatment which makes the situation positive and meaningful for the patient. The awareness for this is primarily provided by ethical considerations.

Single-Case Methods in Clinical Psychology: A Practical Guide provides a concise and easily-accessible introduction to single-case research. This is a timely response to the increasing awareness of the need to look beyond randomised controlled trials for evidence to support best practice in applied psychology. The book covers the issues of design, the reliability and validity of measurement, and provides guidance on how to analyse single-case data using both visual and statistical methods. Single-case designs can be used to investigate an individual's response to psychological intervention, as well as to contribute to larger scale research projects. This book illuminates the common principles behind these uses. It describes how standardised measures can be used to evaluate change in an individual and how to develop idiographic measures that are tailored to the needs of an individual. The issue of replication and generalising beyond an individual are examined, and the book also includes a section on the meta-analysis of single-case data. The critical evaluation of single-case research is examined, from both the perspective of developing quality standards to evaluate research and maintaining a critical distance in reviewing one's own work. Single Case Methods in Clinical Psychology will provide invaluable guidance to postgraduate psychologists training to enter the professions of clinical, health and counselling psychology and is likely to become a core text on many courses. It will also appeal to clinicians seeking to answer questions about the effectiveness of therapy in individual cases and who wish to use the method to further the evidence-base for specific psychological interventions.

The Generic Qualitative Approach to a Dissertation in the Social Sciences: A Step by Step Guide is a practical guide for the graduate students and faculty planning and executing a generic qualitative dissertation in the social sciences. Generic qualitative research is a methodology that seeks to understand human experience by taking a qualitative stance and using qualitative procedures. Based on Sandra Kostere and Kim Kostere's experiences of serving on dissertation committees, this book aims to demystify both the nuances and the procedures of qualitative research, with the aim of empowering students to conduct meaningful dissertation research and present findings that are rigorous, credible, and trustworthy. It examines the fundamental principles and assumptions underlying the generic qualitative method, then covers each stage of the research process including creation of research questions, interviews, and then offers three ways of analyzing the data gathered and presenting the results. With examples of the generic qualitative method in practice to show students how to conduct their research confidently, and chapters designed to walk the researcher through each step of the dissertation process, this book is specifically tailored for the accessible generic method, and will be useful for graduate students and faculty developing dissertations in Psychology, Education, Nursing and the social sciences.

The Social Cognition and Object Relations Scale-Global Rating Method (SCORS-G) is a clinician rated measure that can be used to code various forms of narrative material. It is comprised of eight dimensions which are scored using a seven-point Likert scale, where lower scores are indicative of more pathological aspects of object representations and higher scores are suggestive of more mature and adaptive functioning. The volume is a comprehensive reference on the 1) validity and reliability of the SCORS-G rating system; 2) in depth review of the empirical literature; 3) administration and intricacies of scoring; and 4) the implications and clinical utility of the system across settings and disciplines for clinicians and researchers.

* Contains two introductory chapters on how to set up an R environment and do basic imports/manipulation of meta-analysis data, including exercises. * Describes statistical concepts clearly and concisely before applying them in R. * Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book.

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 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.

This book presents a general and comprehensive framework for the assurance of quality in measurements. Written by a foremost expert in the field, the text reflects an on-going international effort to extend traditional quality assured measurement, rooted in fundamental physics and the SI, to include non-physical areas such as person-centred care and the social sciences more generally. Chapter by chapter, the book follows the measurement quality assurance loop, based on Deming's work. The author enhances this quality assurance cycle with insights from recent research, including work on the politics and philosophy of metrology, the new SI, quantitative and qualitative scales and entropy, decision risks and uncertainty when addressing human challenges, Man as a Measurement Instrument, and Psychometry and Person-centred care. Quality Assured Measurement: Unification across Social and Physical Sciences provides students and researchers in physics, chemistry, engineering, medicine and the social sciences with practical guidance on designing, implementing and applying a quality-assured measurement while engaging readers in the most novel and expansive areas of contemporary measurement research.

In this tribute to Benjamin Wright, former students and colleagues recall the foundational contributions he made to the theory and practice of measurement in a career spanning over five decades. Wright is recognized as the foremost proponent of the psychometric approach of Georg Rasch, a Danish mathematician, whose ideas continue to provoke controversy. Wright's colleagues and students, and students of their students, are leaders in educational research and practice around the world. This volume relates the extent of Wright's influence far beyond education and psychology, where his work in measurement began, into health care and the social sciences at large. The editors and contributors-all leading measurement scholars-trace the development of themes in Wright's work, identifying the roots of today's formative assessment methods, the integration of quantitative and qualitative data, and the contrast between scientific and statistical methods. These previously unpublished papers reflect on Wright's lifelong passion for making measurement both more scientific and more meaningful. They recount how Wright's insight, energy, and gregarious nature led him to produce multiple innovations in computing, estimation methods, model development, fit assessment, and reliability theory, stimulating practical applications in dozens of fields, serving on over 120 dissertation committees, and founding several professional societies. The volume includes three reprinted articles by Wright that provide insights into his early engagement with Rasch's ideas. Psychological and Social Measurement will be welcomed by the broad international measurement community of professionals and researchers working in such diverse fields as education, psychology, health sciences, management, and metrology. Scientists working in any field involving measurement science and technology will appreciate an inside look at this seminal figure and a new perspective on the expanding conversation across the sciences about measurement and the communication of meaningful, transparent information.

With a highly pragmatic, yet rigorous and pragmatically driven approach, this edited book explores demonstrates qualitative research with an applied approach. Using not only theory but real world setting, readers are introduced to the function and relevance of qualitative methods in psychological research. Exemplified through the contributions of various experts from across the different sub-disciplines of psychology, this text takes a versatile approach to explaining methods in research and covers a broad range of methods in a variety of settings. This book will appeal to those with an interest in qualitative methods across the spectrum of psychology and beyond. Offering an introduction to applied qualitative research in psychology with a distinctively applied approach, this title is apt for undergraduate psychology students taking modules in research methods, executing research-based projects or those undertaking Masters and taught doctoral level programs in psychology.

This proceedings volume highlights the latest research and developments in psychometrics and statistics. It represents selected and peer-reviewed presentations given at the 85th Annual International Meeting of the Psychometric Society (IMPS), held virtually on July 13-17, 2020. 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 wide variety of topics including but not limited to item response theory, adaptive testing, Bayesian estimation, propensity scores, and cognitive diagnostic models. This volume is the 9th in a series of recent works to cover research presented at the IMPS.

In Decision Making and Problem Solving: A Practical Guide for Applied Research, the author utilizes traditional approaches, tools, and techniques adopted to solve current day-to-day, real-life problems. The book offers guidance in identifying and applying accurate methods for designing a strategy as well as implementing these strategies in the real world. The book includes realistic case studies and practical approaches that should help readers understand how the decision making occurs and can be applied to problem solving under deep uncertainty.

This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system that has been written to accompany the book and will be provided free to book buyers on an accompanying website.

The software has a user-friendly interface, similar to SPSS and SAS, which are the two most commonly used software analysis packages, and the analysis options are flexible enough to replace numerous traditional techniques such as t-tests, ANOVA, correlation, multiple regression, mediation analysis, chi-square tests, factor analysis, and inter-rater reliability. The output and graphs generated by the software are also easy to interpret, and all effect sizes are presented in a common metric; namely, the number of observations correctly classified by the algorithm. The software is designed so that undergraduate students in psychology will have no difficulty learning how to use the software and interpreting the results of the analyses.

* Describes the problems that statistics are meant to answer, why popularly used statistics often fail to fully answer the question, and how OOM overcomes these obstacles * Chapters include examples of statistical analysis using OOM * Software for OOM comes free with the book * Accompanying websiteinclude svideo instruction on OOM use "

Reciprocity Rules explores the rich and complicated relationships that develop between anthropologists and research participants over time. Focusing on compensation and the creation of friendship and "family" relationships, contributors discuss what, when, and how researchers and the people with whom they work give to each other in and beyond fieldwork. Through reflexivity and narrative, the contributors to this edited collection, who are in various stages in their professional careers and whose research spans three continents and eight countries, reflect on the ways in which they have compensated their research participants and given back to host communities, as well as the varied responses to their efforts. The contributors consider both material and non-material forms of reciprocity, stories of successes and failures, and the taken-for-granted notions of compensation, friendship, and "helping." In so doing, they address the interpersonal dynamics of power and agency in the field, examine cultural misunderstandings, and highlight the challenges that anthropologists face as they strive to maintain good relations with their hosts even when separated by time and space. The contributors argue that while learning, following, openly discussing, and writing about the local rules of reciprocity are always challenging, they are essential to responsible research practice and ongoing efforts to decolonize anthropology.

This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author's years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed.How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.

This book provides an in-depth examination of psychosocial marital well-being and mental health in traditional communities in Rwanda. It presents rich qualitative research conducted with men, women and elders, highlighting both the issues impacting on marital conflict and domestic violence, and also how potential solutions might be drawn from traditional practices. In doing, so it provides a unique resource for researchers and policymakers seeking to develop evidence-based and culturally-informed mental health and psychosocial support interventions in low and middle income countries. It will appeal in particular to those working the fields of public health, family psychology, social work, cross-cultural psychology and qualitative methodology.

"[A] fascinating read... Contrary to what the title might suggest, this is an upbeat exploration of suicide with a positive message." --Jeanine Connor, Therapy Today, December, 2018 This thought-provoking volume offers a distinctly human evolutionary analysis of a distinctly human phenomenon: suicide. Its 'pain and brain' model posits animal adaptations as the motivator for suicidal escape, and specific human cognitive adaptations as supplying the means , while also providing a plausible explanation for why only a relatively small number of humans actually take their own lives. The author hypothesizes two types of anti-suicide responses, active and reactive mechanisms prompted by the brain as suicide deterrents. Proposed as well is the intriguing prospect that mental disorders such as depression and addiction, long associated with suicidality, may serve as survival measures. Among the topics covered: * Suicide as an evolutionary puzzle. * The protection against suicide afforded to animals and young children. * Suicide as a by-product of pain and human cognition. * Why psychodynamic defenses regulate the experiencing of painful events. * Links between suicidality and positive psychology. * The anti-suicide role of spiritual and religious belief. In raising and considering key questions regarding this most controversial act, The Evolution of Suicide will appeal to researchers across a range of behavioral science disciplines. At the same time, the book's implications for clinical intervention and prevention will make it useful among mental health professionals and those involved with mental health policy.

In 1963 an initial attempt was made in my The Psychology of Meaningful Verbal Learning to present a cognitive theory of meaningful as opposed to rote verbal learning. It was based on the proposition that the acquisition and retention of knowl edge (particularly of verbal knowledge as, for example, in school, or subject-matter learning) is the product of an active, integrative, interactional process between instructional material (subject matter) and relevant ideas in the leamer's cognitive structure to which the new ideas are relatable in particular ways. This book is a full-scale revision of my 1963 monograph, The Psychology of Meaningful Verbal Learning, in the sense that it addresses the major aforementioned and hitherto unmet goals by providing for an expansion, clarification, differentiation, and sharper focusing of the principal psychological variables and processes involved in meaningful learning and retention, i.e., for their interrelationships and interactions leading to the generation of new meanings in the individual learner. The preparation of this new monograph was largely necessitated by the virtual collapse of the neobe havioristic theoretical orientation to learning during the previous forty years; and by the meteoric rise in the seventies and beyond of constructivist approaches to learning theory."

This work challenges the current reliance on "The Three R's" or Replacement, Reduction and Refinement which direct most animal research in the behavioral sciences. The author argues that these principles that were developed in the 1950's to guide the use of animals in research studies are outdated. He suggests that the notions of refinement and reduction are often ill-defined and can be useful only in cases where replacement is impossible.

This book explores how discursive psychology (DP) research can be applied to disability and the everyday and institutional constructions of bodymind differences. Bringing together both theoretical and empirical work, it illustrates how DP might be leveraged to make visible nuanced understandings of disability and difference writ large. The authors argue that DP can attend to how such realities are made relevant, dealt with, and negotiated within social practices in the study of disability. They contend that DP can be used to unearth the nuanced and frequently taken for granted ways in which disability is made real in both everyday and institutional talk, and can highlight the very ways in which differences are embodied in social practices - specifically at the level of talk and text. This book demonstrates that rather than simply staying at the level of theory, DP scholars can make visible the actual means by which disabilities and differences more broadly are made real, resisted, contested, and negotiated in everyday social actions. This book aims to expand conceptions of disability and to deepen the - at present, primarily theoretical - critiques of medicalization.

Prevention and developmental sciences have many complementary goals and much to gain by collaboration. With random assignment to conditions and long-term multivariate follow-up of individuals across significant years in the life span, fundamental basic and applied research questions can now be addressed using new statistical methods. This special issue includes four empirical papers that used growth modeling techniques (hierarchical linear modeling, latent growth curve analyses) to examine direct and indirect effects of theory-based, longitudinal prevention experiments on developmental trajectories of children's and adolescents' substance use, delinquency, and school bonding.