Co-written by a professor and 10 students, this book explores their attempts to come to grips with fundamental issues related to writing narrative accounts purporting to represent aspects of people's lives.
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
Research Methodology: Techniques and Trends focuses on both undergraduate and post graduate courses; and it helps readers understand the basic concepts and the application of results directly to real life business, industry and research organizations.
Examine the Prevalence and Geography of Road CollisionsSpatial Analysis Methods of Road Traffic Collisions centers on the geographical nature of road crashes, and uses spatial methods to provide a greater understanding of the patterns and processes that cause them.
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety of disciplines, such as the social and behavioral
This book examines and explores Jacques Lacan's controversial topologisation of psychoanalysis, and seeks to persuade the reader that this enterprise was necessary and important.
Originally published in 1926, the first part of this book attempted to formulate a theory of ability in the light of recent experimental results of the time.
Originally published in 1945, this title was intended mainly for use by teachers wishing to test children from ages 2-8 in order to establish their intelligence.
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research.
This new edition provides a step-by-step guide to applying the Rasch model in R, a probabilistic model used by researchers across the social sciences to measure unobservable ("e;latent"e;) variables.
Expanding Approaches to Thematic Analysis: Creative Engagements with Qualitative Data springboards readers into a world where generating themes from qualitative data is a creative, experimental, and wondrous process!
Das Ziel dieses Buches besteht darin, die Vielfalt der Forschungsmethoden der Psychologie in einem Überblick gut nachvollziehbar zu beschreiben und gleichzeitig für Probleme, die bei ihrer Verwendung auftreten, zu sensibilisieren.
This book provides methods and applications of latent class analysis, and the following topics are taken up in the focus of discussion: basic latent structure models in a framework of generalized linear models, exploratory latent class analysis, latent class analysis with ordered latent classes, a latent class model approach for analyzing learning structures, the latent Markov analysis for longitudinal data, and path analysis with latent class models.
The bestselling guide to reporting writing, updated and reworked for today's practice Essentials of Assessment Report Writing offers effective solutions to the creation of reader-friendly, yet targeted, psychological, and educational assessment reports.
Counseling and Accountability: Methods and Critique is written to present the concerns regarding the methodological problems and strategies of counseling and psychotherapy research.
A comprehensive and user-friendly introduction to statistics for behavioral science students revised and updated Refined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.
In one volume, the leading researchers in intelligence and neuropsychological assessment interpret the range of issues related to intellectual and neuropsychological tests, including test development and psychometrics, clinical applications, ethical and legal concerns, use with diverse populations, computerization, and the latest research.
This book brings together psychometric, cognitive science, policy, and content domain perspectives on new approaches to educational assessment -- in particular, constructed response, performance testing, and portfolio assessment.
Occupational health psychology (OHP) involves the application of psychology to improving the quality of work life and to promoting and protecting the safety, health and well-being of employees.
Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data.
Providing an accessible introduction to qualitative methods, this book combines a solid grounding in the theory behind research methods, with a practical guide to conducting qualitative investigations, and a critical assessment of these methods.
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Including new developments and publications which have appeared since the publication of the first edition in 1995, this second edition: *gives a comprehensive introductory account of event history modeling techniques and their use in applied research in economics and the social sciences; *demonstrates that event history modeling is a major step forward in causal analysis.
Addressing practical issues rarely covered in methods texts, this user-friendly, jargon-free book helps students and beginning researchers plan infant and child development studies and get them done.
This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics.
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.
Written by one of the masters of the foundation of measurement, Louis Narens' new book thoroughly examines the basis for the measurement-theoretic concept of meaningfulness and presents a new theory about the role of numbers and invariance in science.
Major Theoretical Questions Theories about subjective well-being have grown over the past several decades, but have been re ned only slowly as adequate data have been compiled to test them.
In this comprehensive handbook, Ragin and Keenan present an all-encompassing analysis of the variety of different methods used in health psychology research.
