Develop a Deep Understanding of the Statistical Issues of APC Analysis Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approach. See How Common Methods Are Related to Each Other After a general and wide-ranging introductory chapter, the book explains the identification problem from algebraic and geometric perspectives and discusses constrained regression. It then covers important strategies that provide information that does not directly depend on the constraints used to identify the APC model. The final chapter presents a specific empirical example showing that a combination of the approaches can make a compelling case for particular APC effects. Get Answers to Questions about the Relationships of Ages, Periods, and Cohorts to Important Substantive Variables This book incorporates several APC approaches into one resource, emphasizing both their geometry and algebra. This integrated presentation helps researchers effectively judge the strengths and weaknesses of the methods, which should lead to better future research and better interpretation of existing research.

Assessment of mental health, religion and culture: The development and examination of psychometric measures focuses on questionnaires that are of practical value for researchers interested in examining the relationship between the constructs of mental health, religion, and culture. Three particular areas of development and evaluation are represented within this volume: firstly, the psychometric properties of recently developed new questionnaires; secondly, the psychometric properties of established questionnaires that have been translated into other languages; and thirdly, the psychometric properties of questionnaires employed in various cultural contexts and religious samples. The research in this book is authored by a wide range of international scholars working on diverse samples and in a variety of different cultures. In doing so, the book facilitates future research in the area of mental health, religion, and culture. This book was originally published as two special issues of Mental Health, Religion & Culture.

In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? What kind of benefits are we getting from them? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA (CPCA) offers a unified framework for these approaches. The book begins with four concrete examples of CPCA that provide readers with a basic understanding of the technique and its applications. It gives a detailed account of two key mathematical ideas in CPCA: projection and singular value decomposition. The author then describes the basic data requirements, models, and analytical tools for CPCA and their immediate extensions. He also introduces techniques that are special cases of or closely related to CPCA and discusses several topics relevant to practical uses of CPCA. The book concludes with a technique that imposes different constraints on different dimensions (DCDD), along with its analytical extensions. MATLAB (R) programs for CPCA and DCDD as well as data to create the book's examples are available on the author's website.

There is a recent surge in the use of randomized controlled trials (RCTs) within education globally, with disproportionate claims being made about what they show, 'what works', and what constitutes the best 'evidence'. Drawing on up-to-date scholarship from across the world, Taming Randomized Controlled Trials in Education critically addresses the increased use of RCTs in education, exploring their benefits, limits and cautions, and ultimately questioning the prominence given to them. While acknowledging that randomized controlled trials do have some place in education, the book nevertheless argues that this place should be limited. Drawing together all arguments for and against RCTs in a comprehensive and easily accessible single volume, the book also adds new perspectives and insights to the conversation; crucially, the book considers the limits of their usefulness and applicability in education, raising a range of largely unexplored concerns about their use. Chapters include discussions on: The impact of complexity theory and chaos theory. Design issues and sampling in randomized controlled trials. Learning from clinical trials. Data analysis in randomized controlled trials. Reporting, evaluating and generalizing from randomized controlled trials. Considering key issues in understanding and interrogating research evidence, this book is ideal reading for all students on Research Methods modules, as well as those interested in undertaking and reviewing research in the field of education.

This core textbook offers an introduction to the basics of statistics that is uniquely suited to behavioural science students. The book offers coverage anchored to real-world stories, a highly visual approach, helpful mathematical support, and useful step-by-step examples. The book focuses on emerging trends that are redefining contemporary behavioural statistics.This textbook helps you get to grips with a challenging subject in an enjoyable and engaging way. The book can also be purchased with the breakthrough online resource, LaunchPad, which offers innovative media content, curated and organised for easy assignability. LaunchPad's intuitive interface presents quizzing, flashcards, animations and much more to make learning actively engaging.

This breakthrough volume details the psychological and interpersonal skills needed to meet the practical challenges of building, developing, adapting, training, and managing multicultural global teams. Its self-regulation approach offers cognitive keys to understanding and embracing difference and its associated complexities for successful global collaborations and lasting results. From this foundation, the book moves on to the various roles of leadership in facilitating team process, from establishing trust to defusing conflicts, reducing biases, and using feedback effectively. This synthesis of research and practice effectively blends real-world experience and the science of global team leadership to address the complex issues facing modern organizations. Core skills covered by the book: Structuring successful global virtual teams. Developing cross-cultural competencies through global teams. Managing active faultlines and conflicts in global teams. Coaching global teams and global team leaders. Utilizing feedback effectively across cultures. Meeting the global need for leaders through Guided Mindfulness. Leading Global Teams is mind-opening reading for students, scholars, and practitioners in industrial and organizational psychology, organizational behavior, work psychology, and applied psychology programs looking for the most current research and best practices regarding its timely subject.

This book, specifically developed for students of psychology, covers a wide range of topics in statistics and research designs taught in psychology, in particular, and other disciplines like management, sociology, education, home science, and nutrition, in general, in most universities. It explains how to use Excel to analyze research data by elaborating statistical concepts. Each chapter contains sections like "Check you Computing skill" and "Check your Statistical Concepts" to enable students to assess their knowledge in a graded manner. The book addresses one of the major challenges in psychology research, viz., how to measure subjective phenomenon like attitude, desire, and preferences of an individual. Separate emphasis has been given to the measurement techniques which are essential tools to assess these subjective parameters in numerical form, required for statistical analysis to draw meaningful conclusions. The book is equally helpful to students of humanities, life sciences and other applied areas. Consisting of 14 chapters, the book covers all relevant topics of statistics and research designs which are important for students to plan and complete their research work.

D-scoring Method of Measurement presents a unified framework of classical and latent measurement referred to as D-scoring method of measurement (DSM). Provided are detailed descriptions of DSM procedures and illustrative examples of how to apply the DSM in various scenarios of measurement. The DSM is designed to combine merits of the traditional CTT and IRT for the purpose of transparency, ease of interpretations, computational simplicity of test scoring and scaling, and practical efficiency, particularly in large-scale assessments. Through detailed descriptions of DSM procedures, this book shows how practical applications of such procedures are facilitated by the inclusion of operationalized guidance for their execution using the computer program DELTA for DSM-based scoring, equating, and item analysis of test data. In doing so, the book shows how DSM procedures can be readily translated into computer source codes for other popular software packages such as R. D-scoring Method of Measurement equips researchers and practitioners in the field of educational and psychological measurement with a comprehensive understanding of the DSM as a unified framework of classical and latent scoring, equating, and psychometric analysis.

This book is the third in a trilogy of books on introductory psychology. It emphasizes the application of psychological principles for the improvement of individual and group behaviors. The two principles of greatest relevance are the Law of Effect and the Principle of Human Agency. The universally-accepted Law of Effect states that rewarded behaviors tend to be repeated, whereas unrewarded or punished behaviors are not likely to be repeated. The controversial Principle of Human Agency states that individuals can make voluntary choices of behaviors that may, or may not, be successful in achieving their goals in life. If this second principle is true, the behaviors of individuals are not totally determined by the personal heredity of the individuals or by their environmental rewards or punishments. Applied Psychology for Servant Religion discusses problem solving, interpretation of test results, and ways to improve individual and social behaviors.

Statistical Analysis of Contingency Tables is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables. For each type of table, key concepts are introduced, and a wide range of intervals and tests, including recent and unpublished methods and developments, are presented and evaluated. Topics such as diagnostic accuracy, inter-rater reliability, and missing data are also covered. The presentation is concise and easily accessible for readers with diverse professional backgrounds, with the mathematical details kept to a minimum. For more information, including a sample chapter and software, please visit the authors' website.

This book, originally published in 1970, concerns the new technique of computer simulation in psychology at the time. Computer programs described include models of learning, problem-solving, pattern recognition, the use of language, and personality. More general topics are discussed including the evaluation of such models, the relation of the field to cybernetics, and the problem posed by consciousness. Today it can be read and enjoyed in its historical context.

Psychiatric clinicians should use rating scales and questionnaires often, for they not only facilitate targeted diagnoses and treatment; they also facilitate links to empirical literature and systematize the entire process of management. Clinically oriented and highly practical, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an ideal tool for the busy psychiatrist, clinical psychologist, family physician, or social worker. In this ground-breaking text, leading researchers provide reviews of the most commonly used outcome and screening measures for the major psychiatric diagnoses and treatment scenarios. The full range of psychiatric disorders are covered in brief but thorough chapters, each of which provides a concise review of measurement issues related to the relevant condition, along with recommendations on which dimensions to measure - and when. The Handbook also includes ready-to-photocopy versions of the most popular, valid, and reliable scales and checklists, along with scoring keys and links to websites containing on-line versions. Moreover, the Handbook describes well known, structured, diagnostic interviews and the specialized training requirements for each. It also includes details of popular psychological tests (such as neuropsychological, personality, and projective tests), along with practical guidelines on when to request psychological testing, how to discuss the case with the assessment consultant and how to integrate information from the final testing report into treatment. Focused and immensely useful, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an invaluable resource for all clinicians who care for patients with psychiatric disorders.

This book provides a comprehensive treatment of how happiness and wellbeing are measured. It presents an accessible summary of the philosophy, methodology, and applicability of the various measurement techniques that have been generated by the leaders of the happiness movement. It traces the history of development of the core ideas, and clarifies the unexpectedly wide range of techniques that are used. The book provides an unbiased assessment of the strengths and weaknesses of each approach and differentiates the contributions that have been made by psychologists, economists, environmentalists, and health scientists. It examines applications at a personal scale, in the workplace, at a societal scale, and on the world stage. It does so in an easy-to-read anecdotal writing style that will appeal to a wide range of academic and lay readers who enjoy popularized non-fiction that address matters of social concern.

The author's research has been directed towards inference involving observables rather than parameters. In this book, he brings together his views on predictive or observable inference and its advantages over parametric inference. While the book discusses a variety of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive applications of the Bayesian approach. It not only substitutes predictive analyses for parametric analyses, but it also presents predictive analyses that have no real parametric analogues. It demonstrates that predictive inference can be a critical component of even strict parametric inference when dealing with interim analyses. This approach to predictive inference will be of interest to statisticians, psychologists, econometricians, and sociologists.

Gathering scholars from different disciplines, this book is the first on how to study emotions using sociological, historical, linguistic, anthropological, psychological, cultural, and mixed approaches. Bringing together the emerging lines of inquiry, it lays foundations for an overdue methodological debate. The volume offers entrancing short essays, richly illustrated with examples and anecdotes, that provide basic knowledge about how to pursue emotions in texts, interviews, observations, spoken language, visuals, historical documents, and surveys. The contributors are respectful of those being researched and are mindful of the effects of their own feelings on the conclusions. The book thus touches upon the ethics of research in vivid first person accounts. Methods are notoriously difficult to teach-this collection fills the gap between dry methods books and students' need to know more about the actual research practice.

This volume provides an integrative review of the emerging and increasing use of network science techniques in cognitive psychology, first developed in mathematics, computer science, sociology, and physics. The first resource on network science for cognitive psychologists in a growing international market, Vitevitch and a team of expert contributors provide a comprehensive and accessible overview of this cutting-edge topic. This innovative guide draws on the three traditional pillars of cognitive psychological research-experimental, computational, and neuroscientific-and incorporates the latest findings from neuroimaging. The network perspective is applied to the fundamental domains of cognitive psychology including memory, language, problem-solving, and learning, as well as creativity and human intelligence, highlighting the insights to be gained through applying network science to a wide range of approaches and topics in cognitive psychology Network Science in Cognitive Psychology will be essential reading for all upper-level cognitive psychology students, psychological researchers interested in using network science in their work, and network scientists interested in investigating questions related to cognition. It will also be useful for early career researchers and students in methodology and related courses.

Although qualitative approaches to psychological research have a long history in the discipline, they have also been, and remain, marginalized from the canon of mainstream scientific psychology. At the current moment, however, there is growing recognition of the importance of qualitative methods and a movement toward a more inclusive and eclectic stance on psychological research. This volume reflects upon the historical and contemporary place of qualitative methods in psychology and considers future possibilities for further integration of these methods in the discipline. Scholars representing a wide-range of perspectives in qualitative and theoretical psychology reflect on the historical and contemporary positions of qualitative methods in psychology with an eye to the future of research and theory in the discipline. This book encourages a more critical and inclusive stance on research, recognizing both the limits and contributions that different methodological approaches can make to the project of psychological knowledge.

The Modern Kleinian Approach to Psychoanalytic Technique: Clinical Illustrations describes how today's practitioner typically treats a number of types of very disturbed and hard-to-reach patients who, while prone to intense acting out and early termination, are in great need of in-depth psychological reorganization. Many cases barely get off the ground due to levels of pathological conflict and destructive phantasy that make self/object connection extremely fragile. However, the modern Kleinian approach makes it possible to establish analytic contact within even the most chaotic situations and create a therapeutic experience that can be significant and meaningful. In doing so, there can be a healing process and the birth of new object relational experiences and interpersonal exchanges. Robert Waska details a more flexible method of practicing psychoanalysis, Analytic Contact, an approach that brings the healing possibilities of psychoanalysis to the more disturbed patients who tend to fill private practice offices. In addition, Analytic Contact enables the clinician to reach populations that are not usually considered easily treatable by the psychoanalytic method, including psychotic patients, couples who are seeking help with marital issues, and chronic borderline and narcissistic individuals.

This brilliant CGP book covers all the maths skills needed in AS and A-Level Psychology (the use of maths is required for up to 10% of the marks in the final exams and assessments). It explains Calculations, Graph Skills and Statistics, with clear study notes and step-by-step examples in the context of Psychology. And to make sure you've really got to grips with it all, there are practice questions for each topic - with answers included at the back of the book.

The publication of the Cultural Formulation Outline in the DSM-IV represented a significant event in the history of standard diagnostic systems. It was the first systematic attempt at placing cultural and contextual factors as an integral component of the diagnostic process. The year was 1994 and its coming was ripe since the multicultural explosion due to migration, refugees and globalization impact on the ethnic composition of the U.S. population made it compelling to strive for culturally attuned psychiatric care. Understanding the limitations of a dry symptomatological approach in helping clinicians grasp the intricacies of the experience, presentation and course of mental illness, the NIMH Group on Culture and Diagnosis proposed to appraise, in close collaboration with the patient, the cultural framework of patients' identity, illness experience, contextual factors, and clinician-patient relationship, and to narrate this along the lines of five major domains. By articulating the patient's experience and the standard symptomatological description of a case, the clinician may be better able to arrive at a more useful understanding of the case for clinical care purposes. Furthermore, attending to the context of the illness and the person of the patient may additionally enhance understanding of the case and enrich the data base from which effective treatment can be planned.

Taking philosophical principles as a point of departure, this book provides essential distinctions for thinking through the history and systems of Western psychology. The book is concisely designed to help readers navigate through the length and complexity found in history of psychology textbooks. From Plato to beyond Post-Modernism, the author examines the choices and commitments made by theorists and practitioners of psychology and discusses the philosophical thinking from which they stem. What kind of science is psychology? Is structure, function, or methodology foremost in determining psychology's subject matter? Psychology, as the behaviorist views it, is not the same as the psychoanalyst's view of it, or the existentialist's, so how may contemporary psychology philosophically-sustain both pluralism and incommensurability? This book will be of great value to students and scholars of the history of psychology.

Museum Objects, Health and Healing provides an innovative and interdisciplinary study of the relationship between objects, health and healing. Shedding light on the primacy of the human need for relationships with objects, the book explores what kind of implications these relationships might have on the exhibition experience. Merging museum and object studies, as well as psychotherapy and the psychology of well-being, the authors present a new theory entitled Psychotherapeutic Object Dynamics, which provides a cross- disciplinary study of the relationship between objects, health and well-being. Drawing on primary research in museums, psychotherapeutic settings and professional practice throughout the US, Canada, Bosnia-Herzegovina and the UK, the book provides an overview of the theory's origins, the breadth of its practical applications on a global level, and a framework for further understanding the potency of objects in exhibitions and daily life. Museum Objects, Health and Healing will be essential reading for academics, researchers and postgraduate students interested in museum studies, material culture, mental health, psychotherapy, art therapies and anthropology. It should also be valuable reading for a wide range of practitioners, including curators, exhibition designers, psychologists, and psychotherapists.

Data Analysis of Asymmetric Structures provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research professionals across a wide range of disciplines and considers data analysis in fields such as psychology, sociology, social science, ecology, and marketing. In seven comprehensive chapters this guide details theories, methods, and models for the analysis of asymmetric structures in a variety of disciplines and presents future opportunities and challenges affecting research developments and business applications.

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.

This book focuses on the place sand purpose of emotions in the research process, and explores the appropriate boundaries. Designed to explore how to manage the emotional content of research, the text service as a supplemental to qualitative research method courses, and is an excellent reference for the professional as well.