Die Beziehung zwischen Trauma, Traumafolgen und Persönlichkeitsstruktur: Eine Mediationsanalyse

Provides clinical descriptions diagnostic guidelines and codes for all mental and behavioural disorders commonly encountered in clinical psychiatry. The book was developed from chapter V of the Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10). The clinical descriptions and diagnostic guidelines were finalized after field testing by over 700 clinicians and researchers in 110 institutes in 40 countries making this book the product of the largest ever research effort designed to improve psychiatric diagnosis. Every effort has been made to define categories whose existence is scientifically justifiable as well as clinically useful. The classification divides disorders into ten groups according to major common themes or descriptive likeness a new feature which makes for increased convenience of use. For each disorder the book provides a full description of the main clinical features and all other important but less specific associated features. Diagnostic guidelines indicate the number balance and duration of symptoms usually required before a confident diagnosis can be made. Inclusion and exclusion criteria are also provided together with conditions to be considered in differential diagnosis. The guidelines are worded so that a degree of flexibility is retained for diagnostic decisions in clinical work particularly in the situation where provisional diagnosis may have to be made before the clinical picture is entirely clear or information is complete. ... As befitting a publication of considerable influence the amount of work that went into preparing ICD-10 has been formidable... - The International Journal of Social Psychiatry Show more

Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan).<br><br> New to This Edition<br> *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more.<br> *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping.<br> *Expanded coverage of psychometrics.<br> *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan).<br> *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models.<br><br> Pedagogical Features<br> *Exercises with answers, plus end-of-chapter annotated lists of further reading.<br> *Real examples of troublesome data, demonstrating how to handle typical problems in analyses.<br> *Topic boxes on specialized issues, such as causes of nonpositive definite correlations.<br> *Boxed rules to remember.<br> *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools. Show more