This book explores how philosophical realisms relate to psychoanalytical conceptions of the Real, and in turn how the Lacanian framework challenges basic philosophical notions of object and reality.
The past decade has witnessed an explosion of interest in research and education in causal inference, due to its wide applications in biomedical research, social sciences, artificial intelligence etc.
Learning Sciences Research for Teaching provides educators with a fresh understanding of the use and implications of learning sciences scholarship on their studies and professional preparation.
Minds and Machines: Connectionism and Psychological Modeling examines different kinds of models and investigates some of the basic properties of connectionism in the context of synthetic psychology, including detailed accounts of how the internal structure of connectionist networks can be interpreted.
This book fills a gap in international literature by providing critical reviews on variables of organizational behavior and the main psychological instruments developed to measure them.
A comprehensive collection by Professor Cary Cooper and his colleagues in the field of workplace stress and wellbeing, which draws on research in a number of areas including stress-strain relationships, sources of workplace stress and stressful occupations.
Rolf Steyer, Autor des erfolgreichen Lehrbuchs "Messen und Testen", schließt mit diesem Buch die Kluft zwischen Regressionstheorie und deren empirischer Anwendung, der Regressionsanalyse.
This compact resource synthesizes current research on bullying in the schools while presenting strengths-based approaches to curbing this growing epidemic.
This edited volume introduces the latest advances in quantitative methods and illustrates ways to apply these methods to important questions in substance use research.
This popular text introduces the reader to all aspects of psychometric assessment, including its history, the construction and administration of traditional tests, and the latest techniques for psychometric assessment online.
Multilevel Modeling: Applications in STATA(R), IBM(R) SPSS(R), SAS(R), R & HLM(TM) provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences.
Das Lehrbuch erläutert die Durchführung und Interpretation von klassischen Regressionsanalysen (nach der OLS-Methode) und von logistischen Regressionsanalysen (nach der ML-Methode).
The Independent Neuropsychological Evaluation explores the process of conducting an independent neuropsychological evaluation (IME) for disability related claims.
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.
In Decision Making and Problem Solving: A Practical Guide for Applied Research, the author utilizes traditional approaches, tools, and techniques adopted to solve current day-to-day, real-life problems.
In their preface to the second edition of Test Equating, Scaling, and Linking, Mike Kolen and Bob Brennan (2004) made the following observation: "e;Prior to 1980, the subject of equating was ignored by most people in the measurement community except for psychometricians, who had responsibility for equating"e; (p.
This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory.
Die seit Jahren bewährte Einführung macht mit den elementaren Grundlagen des Experimentierens und der Prüfung von empirischen Hypothesen vertraut – konsequent anhand anschaulicher Beispiele und mit vielen praktischen Tipps.
*Shortlisted for the BPS Book Award 2014 in the Textbook Category* *Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)* Successful Qualitative Research: A Practical Guide for Beginners is an accessible, practical textbook.
Statistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyse quantitative (numerical) research data in a wide range of academic disciplines, in particular, the behavioural, human and social sciences.
Now in its fifth edition, this invaluable textbook provides a comprehensive overview of research methods in the behavioral sciences, emphasizing the conceptual challenges inherent in scientific inquiry.
Gut nachvollziehbar und anwendungsorientiert werden in diesem Lehrbuch multivariate Verfahren behandelt, die für die Auswertung empirischer Untersuchungen besonders wichtig sind.
Originally published in 1976, the authors of six of the most widely quoted works in behavioural science related to education, at the time, here describe in detail their research work, including its origins, planning and implementation.
Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice.
The primary purpose of this book is to explore the nature of two forms of sexual behaviour which represent the majority of sexual offences coming to the attention of the courts.
A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures.
This book explains the importance of using the probability that the hypothesis is correct (PHC), an intuitive measure that anyone can understand, as an alternative to the p-value.
Statistics without Maths for Psychology 9th edition by John Reidy and Christine Dancey is an essential and accessible guide to Statistics for Psychology.
Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant).