Power Analysis of Trials with Multilevel Data is a valuable reference for anyone who wants to perform power calculations on trials with hierarchical data.
The advent of "e;Big Data"e; has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details.
Multivariate Statistical Methods: A Primer provides an introductory overview of multivariate methods without getting too deep into the mathematical details.
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data.
An Applied Treatment of Modern Graphical Methods for Analyzing Categorical DataDiscrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and frequency data.
In a time when increasingly larger and complex data collections are being produced, it is clear that new and adaptive forms of data representation and analysis have to be conceived and implemented.
This book provides a unifying structure for the activities that fall under the process typically called "e;standard setting"e; on tests of proficiency.
Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies provides a comprehensive introduction to the multiple imputation approach to missing data problems that are often encountered in data analysis.
Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data.
Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable.
Large observational studies involving research questions that require the measurement of several features on each individual arise in many fields including the social and medical sciences.
Research Methods and Design Beyond a Single Discipline presents and discusses 15 research methods after an overview of each, an illustration of the research process, and an examination of related topics.
Advances in the Psychobiology of Sleep and Circadian Rhythms features international experts from the fields of psychobiology, sleep research and chronobiology to address and review cutting-edge scientific literature concerning recent advances in the psychobiology of sleep, sleep disorders, such as sleep apnoea and insomnia, and circadian rhythms, across the lifespan.
This breakthrough volume details the psychological and interpersonal skills needed to meet the practical challenges of building, developing, adapting, training, and managing multicultural global teams.
This textbook provides in-depth instruction for conducting psychoeducational assessments of children in grades K-12 and conveying results through detailed, well-written reports.
This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals.
Designed to be a primer for mental health practitioners desiring to write treatment plans from a reality therapy perspective, Treatment Planning from a Reality Therapy Perspective, by author Michael H.
When put to the test, will standards-based reporting remain as "e;fundamentally flawed"e; as once feared, or can next-generation approaches refine the system for the better?
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.
The first Banff Conference on Theoretical Psychology, which led to the establishment of the University of Alberta's Center for Advanced Study in Theoretical Psychology, was held 9-12 April 1965, at the university's mountain retreat in the Canadian Rockies.
The go-to resource for assessing and predicting functional abilities in persons with brain injury or cognitive decline has now been revised and expanded to reflect significant advances in the field.
This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it.
This innovative text offers a completely integrated approach to teaching research methods and statistics by presenting a research question accompanied by the appropriate methods and statistical procedures needed to address it.
Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data.
Written for researchers and graduate students writing dissertations, this unique book offers detailed advice and perspective on many issues that can stall a research project and reveals what can be done to successfully resume it.
Designed to help students make the leap from learning about research to doing research, this manual provides an easy-to-understand walkthrough of the entire research process, from selecting a topic and conducting a literature review through presenting an APA-style paper or presentation.
Packed with new topics that reflect today's challenges, the Sixth Edition of the bestselling How to Conduct Surveys guides readers through the process of developing their own rigorous surveys and evaluating the credibility and transparency of surveys created by others.
Designed for novice as well as more experienced researchers, Reason & Rigor presents conceptual frameworks as a mechanism for aligning literature review, research design, and methodology.
Counseling and Accountability: Methods and Critique is written to present the concerns regarding the methodological problems and strategies of counseling and psychotherapy research.
The components of variance is a notion essential to statisticians and quantitative research scientists working in a variety of fields, including the biological, genetic, health, industrial, and psychological sciences.
Balancing the "e;cookbook"e; approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis.
Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and psychological testing, medical diagnosis of patient-reported outcomes, and marketing research.
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models.
Second Edition offers a comprehensive presentation of scientific sampling principles and shows how to design a sample survey and analyze the resulting data.
Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata.
Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method.
