Reliable, easily administered, and objective ways of assessing the well-being of the elderly and their use of, and need for, services are rare. The author of this study provides current information on the Multidimensional Functional Assessment of Older Adults (MFAQ) -- the most widely used questionnaire of its type. This volume discusses ways in which the procedure has been used and can be used by clinicians, program evaluators and planners. The book also examines OARS (Older Americans Resources and Services Program) MFAQ and how it permits assessment of the level of functioning in five areas: social, economic, mental health, physical health and self-care. Readers will find detailed and updated information on administration, hand and computer-based scoring, as well as use of the questionnaire.

The Childhood Hand that Disturbs (CHaD), a new projective test, is a diagnostic and therapeutic tool that is broadly applicable, but particularly effective with abused, depressed, and suicidal subjects. While the CHaD has the advantage of being quick and easy to administer--it takes an average of ten minutes to perform--it is reliable and applicable to both young and old. It is a useful complement to traditional batteries such as the Rorschach and Draw-a-Family, and self-assessment questionnaires. What makes the CHaD different is that it is a free drawing exam, and one that taps one of the most highly symbolic parts of the body: the hand. The CHaD has been tested on normal and pathological individuals for over ten years. Clear guidelines can now be set down for administration, testing, and interpretation. Obviously, a projective test can never be more sensitive than the professional who uses it, but it is Davido's intention that the theoretical underpinnings and her presentations of case studies along with the drawings will help other practitioners deal better with the needs of their patients.

Many technological, socio-economic, environmental, biomedical phenomena exhibit an underlying graph structure. Valued graph allows one to incorporate the connections or links among the population units in addition. The links may provide effectively access to the part of population that is the primary target, which is the case for many unconventional sampling methods, such as indirect, network, line-intercept or adaptive cluster sampling. Or, one may be interested in the structure of the connections, in terms of the corresponding graph properties or parameters, such as when various breadth- or depth-first non-exhaustive search algorithms are applied to obtain compressed views of large often dynamic graphs. Graph sampling provides a statistical approach to study real graphs from either of these perspectives. It is based on exploring the variation over all possible sample graphs (or subgraphs) which can be taken from the given population graph, by means of the relevant known sampling probabilities. The resulting design-based inference is valid whatever the unknown properties of the given real graphs. One-of-a-kind treatise of multidisciplinary topics relevant to statistics, mathematics and data science. Probabilistic treatment of breadth-first and depth-first non-exhaustive search algorithms in graphs. Presenting cutting-edge theory and methods based on latest research. Pathfinding for future research on sampling from real graphs. Graph Sampling can primarily be used as a resource for researchers working with sampling or graph problems, and as the basis of an advanced course for post-graduate students in statistics, mathematics and data science.

First published in 1987. This is Volume 6 of Advances in Personality Assessment and includes articles on personality in the U.S. Foreign Office, the interview questionnaire technique, assessment of shame and guilt, assessment of cognitive affective interactions in children and holistic health, amongst others.

First published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

First published in 1985. Routledge is an imprint of Taylor & Francis, an informa company.

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

First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

Can psychological factors effectively predict entrepreneurial performance? Drawing upon studies of over 700 entrepreneurial subjects in 10 different samples, Miner settles the issue: yes, they can. He identifies four kinds of people who are capable of achieving entrepreneurial success--but notes that to actually achieve success, they must follow a career route that fits their personalities. Miner's new book is thus a detailed scholarly report on an extensive 20-year research program that focuses on psychological predictors of entrepreneurial activity and success, and a carefully devised, solidly grounded theory to explain why his observations are true. He also discusses the implications for personal career development, entrepreneur selection, entrepreneurship development programs, the assessment of entrepreneurial talent, and related topics crucial not only to entrepreneurs and would-be entrepreneurs themselves, but to their various stakeholders including those with investments in them.

Part I of the book reviews the typologies used in the entrepreneurship literature and the various opinions on the value of psychological factors in predicting entrepreneurial success. It then sets forth the four-way psychological typology underpinning Miner's research and the various theoretical extensions of that typology. This section of the book closes with a chapter presenting case examples of the various types, and the ways they can achieve or fail to achieve success. Part II deals with measurement and design considerations, and with the two primary research tests of the theory--a seven-year predictive study of established entrepreneurs and a six-year predictive study of graduate business students enrolled in entrepreneurship classes. Part III reports on three studies dealing with women entrepreneurs, in contrast to men. It also describes an extensive, six-year predictive study of high-technology entrepreneurs and international research dealing with entrepreneurs in Italy, Israel, Sweden, and post-communist Poland. Part IV considers ways the typology may be used to create entrepreneurship development programs and describes a comprehensive regional development effort extending over seven years. Particular attention is given to methods of assessing entrepreneurial talent, in existing as well as in prospective entrepreneurs, not only to help select them, but also to aid in the investment decision. The book closes with predictions for the future for entrepreneurial practice and for entrepreneurship theory and research.

First published in 1983. Routledge is an imprint of Taylor & Francis, an informa company.

This book presents (1) an exhaustive and empirically validated taxonomy of quality aspects of multimodal interaction as well as respective measurement methods, (2) a validated questionnaire specifically tailored to the evaluation of multimodal systems and covering most of the taxonomy's quality aspects, (3) insights on how the quality perceptions of multimodal systems relate to the quality perceptions of its individual components, (4) a set of empirically tested factors which influence modality choice, and (5) models regarding the relationship of the perceived quality of a modality and the actual usage of a modality.

This book presents a critical examination of the development of user involvement within research, and investigates the issues currently preventing a productive integration of Mad knowledges within research and practice. Drawing on social, linguistic and critical theories, it proposes the conditions needed to address the development of Mad epistemologies. The author's unique approach deliberately highlights her own positionality and draws on decades of experience as a service recipient, survivor, activist and researcher to illustrate the structural and symbolic barriers faced. Employing concepts including epistemic injustice, individualization, normalization and structural violence, it suggests a radically new way of articulating 'what's the matter with us?' In doing so, the book itself goes some way towards enacting the radical challenge to academic and epistemic hierarchies which, it is argued, will be required to further advance mad knowledges and user-led research. Crucially, it demonstrates how this approach can be both methodologically and conceptually rigorous. This novel work holds important insights for students and scholars across the humanities and social sciences; particularly those working in the areas of critical psychology, disability studies, Mad studies, feminist studies, critical race theory, and Queer theory.

This book describes mindfulness and meditation practices and programs for adolescents by situating the topic in a bio-psychosocial-cultural approach. Using this framework, the benefits of these practices and programs for adolescents- with an emphasis on evidence-based practices-are explored. In addition to programs based on mindfulness, meditation programs using Transcendental Meditation, Herbert Benson's Relaxation Response, and the Center for Mind Body Medicine's group programs are discussed. The book is targeted toward educators, mental health professionals, researchers, and graduate students interested in the application, development, and study of mindfulness and meditation practices and programs for adolescents.

"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.

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 is a seminal guide to loneliness and social isolation in old age, providing a comprehensive overview of the important correlates of socioeconomic, health and lifestyle factors upon loneliness and social isolation in old age. Bringing together contributions from leading authorities, the book showcases expertise from medicine, psychology, epidemiology, sociology, economics and gerontology. It shows the importance of identifying factors associated with loneliness and social isolation among older adults from a broader perspective, and includes discussion of a range of topics including income poverty, physical activity, family care and frailty. The chapters are evidence-based and offer a mix of empirical studies as well as reviews of international research. The book also discusses policy implications and provides an overview of nationally representative cohort studies around the world available to researchers quantifying loneliness or social isolation. This book is unique in examining loneliness and social isolation from such wide-ranging perspectives and will be essential reading for researchers and postgraduate students in the areas of mental health research, social work, and psychiatry. Health professionals involved with gerontology and geriatrics will also find this book of benefit.

Partial least squares structural equation modelling (PLS-SEM) is becoming a popular statistical framework in many fields and disciplines of the social sciences. The main reason for this popularity is that PLS-SEM can be used to estimate models including latent variables, observed variables, or a combination of these. The popularity of PLS-SEM is predicted to increase even more as a result of the development of new and more robust estimation approaches, such as consistent PLS-SEM. The traditional and modern estimation methods for PLS-SEM are now readily facilitated by both open-source and commercial software packages. This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications. What makes the book unique is the fact that it thoroughly explains and extensively uses comprehensive Stata (plssem) and R (cSEM and plspm) packages for carrying out PLS-SEM analysis. The book aims to help the reader understand the mechanics behind PLS-SEM as well as performing it for publication purposes. Features: Intuitive and technical explanations of PLS-SEM methods Complete explanations of Stata and R packages Lots of example applications of the methodology Detailed interpretation of software output Reporting of a PLS-SEM study Github repository for supplementary book material The book is primarily aimed at researchers and graduate students from statistics, social science, psychology, and other disciplines. Technical details have been moved from the main body of the text into appendices, but it would be useful if the reader has a solid background in linear regression analysis.

This book offers different theoretical approaches about what clinical research is. Clinical Research in Psychoanalysis is a unique contribution to the attempts to bridge the gap between clinicians and researchers and to create a culture of a more rigorous and systematic inquiry. It provides an innovative experience because for the first time different methods and perspectives were used to analyse one same clinical material. This was done by analysts from different working parties of the International Psychoanalytical Association (IPA), from a range of different schools of psychoanalytic thought. This allows the reader to have a vision of the different methods that are currently being used by some working parties of the IPA and to learn about the strengths of each one for certain situations and types of research. This book revaluates clinical research, intending to make links between the analysts working through the working parties and the different ways of thinking in clinical research. By covering key topics, such as how working parties can facilitate different types of research; the place of metaphor in psychoanalytic research and practice; and the future for psychoanalytic research, this text is a fruitful dialogue between different theoretical conceptions and between clinicians and researchers, that will expand our perspectives on the evidence we find in clinical material and will broaden our views on the patient. This book offers a unique and invaluable experience to psychologists and psychoanalysts who are trying to improve their clinical practice and bring research evidence into their psychoanalytic practice. It is an invaluable contribution to psychoanalytic training of candidates, teachers, and students.

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.

Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials. Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text: Examines leadership within the roles of statistician and data scientist from international and diverse perspectives Supplies a greater understanding of leadership within teams, research consulting, and project management Encourages reflection on leadership behaviors, promoting both natural and organizational leadership Identifies existing opportunities to foster creative outputs and develop strong leadership voices Includes real-life stories about overcoming barriers to leadership Leadership and Women in Statistics explains how to convert a passion for statistical science into visionary, ethical, and transformational leadership. Although the context focuses on statistics, the material applies to almost all fields of endeavor. This book is a valuable resource for those ready to consider leadership as an important element of their careers, and for those who are already leaders but want to deepen their perspectives on leadership. It makes an ideal text for group leadership training as well as for individual professional development.

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

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.