While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.
Statistics without Maths for Psychology 9th edition by John Reidy and Christine Dancey is an essential and accessible guide to Statistics for Psychology.
Mental, Emotional and Behavioural Needs of the General Population Following COVID-19 in India: Findings from Qualitative and Quantitative Studies explores the psychological challenges arising from COVID-19 that impacted the Indian general population.
This volume provides graduate students and experienced researchers with a comprehensive guide to applying qualitative and mixed methods in classroom-based research on second language learning and teaching.
This autoethnographic volume gathers a multiplicity of different voices in autoethnographic research from across psychology and mental health disciplines to address topics ranging from selfhood, trauma, emotional understanding, clinical psychology, and the experience of grief.
Schreiben ist weit mehr als die bloße Aneinanderreihung von Wörtern – es ist ein Spiegel unseres Denkens, ein Werkzeug der Selbstreflexion und ein Schlüssel zur persönlichen Entwicklung.
In Poetics of Listening, renowned sound studies scholar Brandon LaBelle brings critical attention to listening as a practice, one that can wield significant impact onto individual, interpersonal and community wellbeing.
Felix Kühlian erkundet in diesem Buch die systematische Verwendung von Metaphern in der Interaktion zwischen systemischen Psychotherapeut*innen und Menschen mit der Diagnose soziale Angst.
Felix Kühlian erkundet in diesem Buch die systematische Verwendung von Metaphern in der Interaktion zwischen systemischen Psychotherapeut*innen und Menschen mit der Diagnose soziale Angst.
Now in its seventh edition, this book brings together 30 classic and contemporary studies in psychology to show students how to analyse key studies in the field, understand how classic theories are constantly revisited by modern researchers, and develop the skills required to write about psychology in exams and essays.
This is the first book that focusses the attention on applying asymmetric multidimensional scaling (MDS) and describes how to apply it in a practical manner.
This is the first book that focusses the attention on applying asymmetric multidimensional scaling (MDS) and describes how to apply it in a practical manner.
Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data.
Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels.
Preparing Literature Reviews is an accessible guide that provides easy to follow step-by-step advice on how to prepare qualitative and quantitative literature reviews.
This book explores the psychological impact of climate change on organisations and individuals, encouraging the reader to consider the ways in which they can take action to address this critical issue.
Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences.
Introduction to Regression Methods for Public Health Using R teaches regression methods for continuous, binary, ordinal, and time-to-event outcomes using R as a tool.
This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST).
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature.
This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.
This book covers the following subjects: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.
Beloved for its conversational style and reliable advice, this text is now in a revised and updated third edition, reflecting key developments in evaluation.
This is the second edition of an introductory text that describes the principles of invariant measurement; how invariant measurement can be achieved using Rasch measurement theory; and how to use invariant measurement to solve a variety of measurement problems in the social, behavioral, and health sciences.
Up-to-date information on successfully assessing children and adolescents in clinical settingsThis book showcases state-of-the-art assessment methods, instruments, and processes in the clinical assessment of children and adolescents.
Multivariate Statistical Methods: A Primeroffers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an excess of mathematical details.
Chatbot Therapy: A Critical Analysis of AI Mental Health Treatment examines automated mental health therapy in the form of therapy chatbots, taking a critical analysis of this new technology.
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social ScientistsNow that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition focuses more on implementation details of th
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data.
Description: Incorporating a hands-on pedagogical approach, Nonparametric Statistics for Social and Behavioral Sciences presents the concepts, principles, and methods used in performing many nonparametric procedures.
