Behavioral genetics is a fast-growing, multidisciplinary field which attempts to explain the influence of genetic and environmental factors on behavior through the lifespan.
Research Methods in Applied Behavior Analysis, third edition, is a practical and accessible text that provides the beginning researcher with a clear description of how behavior analysts conduct applied research and submit it for publication.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details.
Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences.
This is the first volume in the Counterpoints Series, which explores the issues being debated in psychology, child development, linguistics, and neuroscience.
This book explains the principles and theory of statistical modelling in an intelligible way for the non-mathematical social scientist looking to apply statistical modelling techniques in research.
Neuropsychological Evaluation of the Child: Domains, Methods, and Case Studies, Second Edition, is an updated and expanded desk reference that retains the first edition's organizational structure, strong practical focus, and lifespan developmental perspective.
This book provides targeted advice to Black, Indigenous, and People of Color (BIPOC) in the mental health professions on how to navigate, resist, and transform institutions and policies that were not designed for them.
This book highlights the effects of the COVID-19 pandemic on the mental health needs of children and adolescents in order to shed light on future practice and reform needed to better deal with the aftermath of such devastating events.
Quickly acquire the knowledge and skills you need to effectively conduct a comprehensive temperament assessment Understanding temperament has the potential to better inform treatment and intervention choices as well as promote awareness for qualities that are somewhat malleable.
The third edition of Social Anxiety: Clinical, Developmental, and Social Perspectives integrates examinations of social anxiety, shyness, and embarrassment with the research on social anxiety disorder subtypes, biological theories and cognitive-behavioral or pharmacological treatment outcome studies.
This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences.
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.
Different research methods can yield unique insights into literacy learning and teaching--and, used synergistically, can work together to move the field forward.
This book applies Rasch measurement theory to the fields of education, psychology, sociology, marketing and health outcomes in order to measure various social constructs.
Bringing together experts in the field, this comprehensive volume presents the state of the art in evaluating noncredible performance in clinical contexts.
Living with a chronic illness can have a significant psychological impact on a child and his or her family, and it is essential that this aspect of their care is not overlooked.
There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software.
This book reconstructs the rise and fall of Wilhelm Wundt's fortunes, focusing for the first time on the role of Richard Avenarius as catalyst for the so-called "e;positivist repudiation of Wundt.
This book provides a comprehensive introduction to psychological assessment and covers areas not typically addressed in existing test and measurements texts, such as neuropsychological assessment and the use of tests in forensics settings.
Exploring the breadth of contemporary feminist research practices, this engaging text immerses the reader in cutting-edge theories, methods, and practical strategies.
This handbook examines current mental health research, challenges in patient care, and advances in clinical psychiatry with the aim of improving approaches toward the screening of at-risk individuals, facilitating access to care, and supervising rehabilitation.
This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field.
Age, Period and Cohort Effects: Statistical Analysis and the Identification Problem gives a number of perspectives from top methodologists and applied researchers on the best ways to attempt to answer Age-Period-Cohort related questions about society.
Anlass des Buches ist die Suche Studierender nach geeigneten Lehrbüchern, die die Durchführung empirischer Untersuchungen in der Arbeits- und Organisationssoziologie verständlich erklären und sie ihnen mit Übungs- und Lehrbeispielen näher bringen.
Doing Statistical Analysis looks at three kinds of statistical research questions - descriptive, associational, and inferential - and shows students how to conduct statistical analyses and interpret the results.
This text shows how to use multivariate analysis to extract useful information from multivariate data and understand the structure of random phenomena.
InterventionsforschungBand 2 bietet einen Einblick in die Vielfalt transdisziplinärerForschungsprojekte, deren Anliegen, Prozesse sowie Wirkungspotentiale.
In a very understandable, practical, and accessible manner, this book applies recent groundbreaking findings from behavioral neuroscience to the most complex and vexing challenges in organizations today.
This book integrates postmodern theories of therapeutic research and practice to demonstrate how these approaches can be effectively integrated into methods of data collection and analysis.
Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex research questions.
