This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.

This timely volume provides an up-to-date exploration of the affective profiles model, a person-centered means of understanding the affective system.  It presents the etiology underpinning the affective system and compares the model with other existing personality models, such as the Big Five Model, and the Dark Triad.  Most important, it examines the affective profiles model in relation to well-being, which includes life satisfaction, as well as psycho-logical health.  As such, it illuminates the problems of depression, anxiety, and sleep disorders.  Based on a wealth of longitudinal, cross-cultural and intervention studies, this book offers a critical view of the affective profiles model that will enrich both further research and clinical practice.

Brain disorders (neurodevelopmental, neurodegenerative, and affective disorders) can be investigated, treated, and prevented using person-centered methods. Because researchers have not reached a clear consensus on whether or not personality is stable or changeable, it has been difficult to outline how to use these methods in the care of people with brain disorders. Thus, the first part aims to identify the ways in which brain disorders and personality are linked. The second part explores different person-centered approaches that can be incorporated in a healthcare or education setting to help people with various brain disorders and to promote physical, mental and social health. The third part focuses on challenges and new venues.

This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.