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Psychometric Methods
Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.
Memory and Brain
Written by a leading neuropsychologist, this book brings together the widely scattered psychological and neurobiological work on memory to create a definitive overview of current knowledge. Reflecting the many levels of analysis at which this work is taking place, the book proceeds from the synapse to a review of the function and structure of neural systems and the organization of cognition. Throughout, the author places current research in historical perspective, and identifies major ideas and themes that have emerged in recent years in order to provide a solid foundation for future investigations. The book is amply illustrated and contains a useful glossary. It will be of use in advanced undergraduate and graduate courses on memory, and to psychologists and neuroscientists desiring an account of memory that is informed equally by cognitive and neurobiological insights.
How I Made One Million Dollars Last Year Trading Commodities
This fascinating book is loaded with practical information designed to help you in the commodity market. The author's method...proven by his million dollar success...does not involve complicated math or subjective evaluation. There are two completely systematic methods; %R and Momentum. The essence fo these methods is that they tell you if the super powers are long or short; when the super powers expect a major move to start; what commodities are in true bull or bear markets; when to start buying and when to sell for gargantuan profits. This book is a must if you're a stock or commodity trader. It will expose to you an exciting new approach to trading and thinking--the same approach that has made Larry Williams a millionaire.
Get a Vision and Live It: Becoming Prosperous Now for Life
High-Performance people grow into what they want to be, rather than wishing they were different. It's not a matter of magic or luck, and it's not just a matter of positive thinking. It's discovering the excellence within that will guarantee success. Larry knows the secret...that finding success and happiness in life, love and work is as simple as knowing what you want...the how lives within.
The Right Stock at the Right Time
Praise for THE RIGHT STOCK AT THE RIGHT TIME "It is a fundamentally good time to consider the strategies in this book. Macro-market timing, stock-specific approaches, money management revelations, and intermarket analysis. Even better that it is written by someone who has actually done it himself." —Lindsay Glass Global Market Timing Specialist, Bloomberg LP "This book delivers a knock-out punch to investor pessimism, with an uppercut of bullishness and hard facts." —Ray Mercer Former World Heavyweight Champion "The stock market is a major stream of income and Williams clearly shows the best time and stocks to buy." —Robert Allen, New York Times bestselling financial author and millionaire maker "No other book on the horizon comes close to this one. Larry lets you stand on his shoulders and view the market from the vantage of a master." —Yale Hirsch Chairman, The Hirsch Organization Inc.
Memory
This book brings together an internationally respected group of researchers for the purpose of examining neuroplasticity, a topic of immense current interest in psychology, neuroscience, neuropsychology, and clinical neurology. The chapters represent state-of-the-art work on neuroplasticity at all levels: behavioral, neural, and molecular. They describe recent work on memory ranging from cellular morphological studies in invertebrates to research on the human brain made possible by new advances in neuroimaging technology. The book begins with an introductory chapter that considers the psychology of memory at the global, structural level. The remainder of the volume is divided into three rela...
Quasi-Experimentation
Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.
Clinical Interpretation of the WAIS-III and WMS-III
This guide to the WAIS-III and WMS-III tests is written to help clinical practitioners achieve efficient and accurate interpretations of test results. The only interpretive guide to be based on data obtained while standardizing the tests, this reference source provides new models for interpreting results, as well as practical information on the diagnostic validity, demographically corrected norms, and accuracy of the tests in measuring intelligence and memory. The focus of information is to allow clinicians to reduce variance in the interpretations of scores, indicating how best to factor in socio-economic status of respondents, interpreting meaningful change in serial assessments, and scori...
Longitudinal Structural Equation Modeling with Mplus
An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.
Artificial Intelligence and Mental Health Care
New developments in machine learning (ML) and artificial intelligence (AI) hold great promise to revolutionize mental health care. In this context, ML and AI have been deployed for several different goals, including 1) the early detection of mental disorders, 2) the optimization of personalized treatments based on the individual characteristics of patients, 3) the better characterization of disorders detrimental to mental well-being and quality of life, as well as a better description of projected trajectories over time, and 4) the development of new treatments for mental health care. Despite their great potential to transform mental health care and occasional breakthroughs, ML and AI have n...
