Articles in the New Titles category
Articles in the New Titles category
Just Published "[This] is the only textbook I know of that presents multilevel regression modeling and structural equation modeling as part of a combined framework. … The revisions … prepare readers to understand both procedures and to conduct both types of analyses. … The changes make the book a better teaching tool. … It would be an excellent choice for students who take my multilevel regression modeling course … [and] … my design of experiments course." – Laura M. O’Dwyer, Boston College, USA
Just Published Intraindividual variability (IIV) of human development and behavior across the entire life-span is explored in this new book. Leading researchers summarize recent findings on the extent, role, and function of IIV in human development with a focus on how, when, and why individuals change over time. The latest theoretical, methodological, and technological advances are reviewed. The book explores the historical and theoretical background and challenges of IIV research along with its role and function in childhood, adolescence, and adulthood.
NEW Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume.
Just Published This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.”
This state-of-the-art volume provides insight into the recent developments in survey research. It covers topics like: survey modes and response effects, bio indicators and paradata, interviewer and survey error, mixed-mode panels, sensitive questions, conducting web surveys and access panels, coping with non-response, and handling missing data. The authors are leading scientists in the field, and discuss the latest methods and challenges with respect to these topics.
William D. Crano, Marilynn B. Brewer, and Andrew Lac, co-authors of Principles and Methods of Social Research, 3rd Edition, are the Psychology Press Authors of the Month for September 2014. William D. Crano is the Oskamp Distinguished Chair and Head of the Department of Psychology at Claremont Graduate University. Marilynn B. Brewer is Professor Emeritus from the Ohio State University and a Visiting Professor of Psychology at the University of New South Wales. Andrew Lac is Research Professor of Psychology at Claremont Graduate University.
This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling.
Reasoning research has long been associated with paper and pencil tasks in which peoples’ reasoning skills are judged against established normative conventions. However, there has been a recent revolution in the range of techniques, empirical methods and paradigms used to examine reasoning behavior. New Approaches in Reasoning Research brings to the fore these new pioneering research methods and empirical findings.
This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets.