Time-Varying Effect Modeling for the Behavioral, Social, and Health Sciences, Lanza Stephanie T., Linden-Carmichael Ashley N.
Автор: Kees van Montfort; Johan H.L. Oud; Manuel C. Voelk Название: Continuous Time Modeling in the Behavioral and Related Sciences ISBN: 331977218X ISBN-13(EAN): 9783319772189 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This unique book provides an overview of continuous time modeling in the behavioral and related sciences. It argues that the use of discrete time models for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different observation intervals. Continuous time modeling by means of differential equations offers a powerful approach for studying dynamic phenomena, yet the use of this approach in the behavioral and related sciences such as psychology, sociology, economics and medicine, is still rare. This is unfortunate, because in these fields often only a few discrete time (sampled) observations are available for analysis (e.g., daily, weekly, yearly, etc.). However, as emphasized by Rex Bergstrom, the pioneer of continuous-time modeling in econometrics, neither human beings nor the economy cease to exist in between observations. In 16 chapters, the book addresses a vast range of topics in continuous time modeling, from approaches that closely mimic traditional linear discrete time models to highly nonlinear state space modeling techniques. Each chapter describes the type of research questions and data that the approach is most suitable for, provides detailed statistical explanations of the models, and includes one or more applied examples. To allow readers to implement the various techniques directly, accompanying computer code is made available online. The book is intended as a reference work for students and scientists working with longitudinal data who have a Master's- or early PhD-level knowledge of statistics.
Автор: Kees van Montfort; Johan H.L. Oud; Manuel C. Voelk Название: Continuous Time Modeling in the Behavioral and Related Sciences ISBN: 3030084019 ISBN-13(EAN): 9783030084011 Издательство: Springer Рейтинг: Цена: 83850.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This unique book provides an overview of continuous time modeling in the behavioral and related sciences. It argues that the use of discrete time models for processes that are in fact evolving in continuous time produces problems that make their application in practice highly questionable. One main issue is the dependence of discrete time parameter estimates on the chosen time interval, which leads to incomparability of results across different observation intervals. Continuous time modeling by means of differential equations offers a powerful approach for studying dynamic phenomena, yet the use of this approach in the behavioral and related sciences such as psychology, sociology, economics and medicine, is still rare. This is unfortunate, because in these fields often only a few discrete time (sampled) observations are available for analysis (e.g., daily, weekly, yearly, etc.). However, as emphasized by Rex Bergstrom, the pioneer of continuous-time modeling in econometrics, neither human beings nor the economy cease to exist in between observations. In 16 chapters, the book addresses a vast range of topics in continuous time modeling, from approaches that closely mimic traditional linear discrete time models to highly nonlinear state space modeling techniques. Each chapter describes the type of research questions and data that the approach is most suitable for, provides detailed statistical explanations of the models, and includes one or more applied examples. To allow readers to implement the various techniques directly, accompanying computer code is made available online. The book is intended as a reference work for students and scientists working with longitudinal data who have a Master's- or early PhD-level knowledge of statistics.
Автор: Donatella Vicari; Akinori Okada; Giancarlo Ragozin Название: Analysis and Modeling of Complex Data in Behavioral and Social Sciences ISBN: 3319066919 ISBN-13(EAN): 9783319066912 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Time-frequency Filtering for Seismic Waves Clustering.- Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement.- Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919).- Estimating a Rasch Model via Fuzzy Empirical Probability Functions.- Scale Reliability Evaluation for a-priori Clustered Data.- An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project.- A New Index for the Comparison of Different Measurement Scales.- Asymmetries in Organizational Structures.- A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults.- The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank.- The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method.- Dynamic Clustering of Financial Assets.- A Comparison of metrics for the Assessment of Relational Similarities in Affiliation Networks.- Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models.- Social Networks as Symbolic Data.- Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis.- Fuzzy c-means for Web Mining: The Italian Tourist Forum Case.- On Joint Dimension Reduction and Clustering of Categorical Data.- A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web.- Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case.- The Analysis of Partnership Networks in Social Planning Processes.- Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling.- Statistical Characterization of the Virtual Water Trade Network.- A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks.- The RCI as a Measure of Monotonic Dependence.- A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data.- Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison.- Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory.- Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets.- A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis.- Assessing Cooperation in Open Systems: an Empirical Test in Healthcare.
Автор: Miguel A. Padilla Название: Fundamental Statistics for the Social, Behavioral, and Health Sciences ISBN: 151651890X ISBN-13(EAN): 9781516518906 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 86070.00 T Наличие на складе: Невозможна поставка. Описание: Fundamental Statistics for the Social, Behavioral, and Health Sciences presents instructional material in a clear, concise way and features exercises that get students thinking about how to use statistics in applied settings.The text opens with an introduction to descriptive statistics which covers frequency distribution, central tendency, and variability. The chapters that follow take students through an introductory journey into inferential statistics.While many standard texts in the discipline overload students with information, Fundamental Statistics for the Social, Behavioral, and Health Sciences strategically presents information that is enhanced with clear examples and graphs. Rather than relying on memorized examples, students learn to apply what they learn to a variety of situations. The book includes step-by-step instructions on using IBM’s Statistical Package for Social Sciences, so there is no need to purchase a separate text to master it.
Автор: Bruno D. Zumbo; Eric K.H. Chan Название: Validity and Validation in Social, Behavioral, and Health Sciences ISBN: 3319077937 ISBN-13(EAN): 9783319077932 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book combines an overview of validity theory, trends in validation practices and a review of standards and guidelines in several international jurisdictions with research synthesis of the validity evidence in different research areas.
Crafting Scholarship helps readers improve their writing and publishing success in academia. Framed within the context of the editorial and peer review process, the book explores writing, editing, and reviewing in academic publishing. As such it provides unique coverage of how successful writers work, how they manage criticism, and more. Examples from successful scholars provide helpful tips in writing articles, grants, books, book chapters, and reviews. Each chapter features tools that facilitate learning including Best Practices and Writer's Resource boxes to help maximize success, discussion questions and case studies to stimulate critical thinking, and recommended readings to encourage self exploration. A Facebook page provides an opportunity for readers to post writing updates and for instructors to share materials.
Highlights include:
-Insights on working with journal boards, reviewers, and contributors drawn from the author's 30 years of experience in editing journal articles and writing books.
-Describes writing quantitative and qualitative reports, theory and literature reviews, books and chapters, grants, and book reviews.
-Identifies common problems academics face in writing and publishing along with practical solutions.
-Explores best practices in writing peer reviews, responding to reviewers and editors, and how to calculate and interpret acceptance rates and impact factors.
-Addresses how to write each section of a journal article and select keywords that facilitate digital search engines to help potential readers find an article.
-Includes examples of published work and tips on writing research syntheses using meta-analytic techniques or narrative analyses.
-Examines the practices of successful writers, the pros and cons of collaborations, what publishers look for, and managing criticism.
-Reviews pertinent empirical literature on the core topics of writing, reviewing, and editing.
Intended for graduate or advanced undergraduate courses in professional development, writing in an academic field, or research methods taught in psychology, education, human development and family studies, sociology, communication, and other social sciences, this practical guide also appeals to those interested in pursuing an academic career and new and seasoned researchers.
Автор: Linda M. Collins Название: Optimization of Behavioral, Biobehavioral, and Biomedical Interventions ISBN: 3319891561 ISBN-13(EAN): 9783319891569 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a framework for development, optimization, and evaluation of behavioral, biobehavioral, and biomedical interventions. Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This volume introduces the multiphase optimization strategy (MOST), pioneered at The Methodology Center at the Pennsylvania State University, as an alternative to the classical approach of relying solely on the randomized controlled trial (RCT). MOST borrows heavily from perspectives taken and approaches used in engineering, and also integrates concepts from statistics and behavioral science, including the RCT. As described in detail in this book, MOST consists of three phases: preparation, in which the conceptual model underlying the intervention is articulated; optimization, in which experimentation is used to gather the information necessary to identify the optimized intervention; and evaluation, in which the optimized intervention is evaluated in a standard RCT. Through numerous examples, the book demonstrates that MOST can be used to develop interventions that are more effective, efficient, economical, and scalable. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy is the first book to present a comprehensive introduction to MOST. It will be an essential resource for behavioral, biobehavioral, and biomedical scientists; statisticians, biostatisticians, and analysts working in epidemiology and public health; and graduate-level courses in development and evaluation of interventions.
Автор: Jeffrey R. Harring, Gregory R. Hancock Название: Advances in Longitudinal Methods in the Social and Behavioral Sciences ISBN: 1617358894 ISBN-13(EAN): 9781617358890 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 50820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The importance that practitioners are placing on longitudinal designs and analyses signals a critical shift toward methods that enable a better understanding of developmental processes thought to underlie many human attributes and behaviours. A simple scan of one’s own applied literature reveals evidence of this trend through the increasing number of articles adopting longitudinal methods as their primary analytic tools.<br><br> <em>Advances in Longitudinal Methods in the Social and Behavioral Sciences </em>is a resource intended for advanced graduate students, faculty, and applied researchers interested in longitudinal data analysis, especially in the social and behavioural sciences. The chapters are written by established methodological researchers from diverse research domains such as psychology, biostatistics, educational statistics, psychometrics, and family sciences. Each chapter exposes the reader to some of the latest methodological developments and perspectives in the analysis of longitudinal data, and is written in a didactic tone that makes the content accessible to the broader research community. <br><br> This volume will be particularly appealing to researchers in domains including, but not limited to: human development, clinical psychology, educational psychology, school psychology, special education, epidemiology, family science, kinesiology, communication disorders, and education policy and administration. The book will also be attractive to members of several professional organizations such as the American Educational Research Association (AERA), the American Psychological Association (APA), the American Psychological Society (APS), the Society for Research on Adolescence (SRA), the Society of Research in Child Development (SRCD), Society for Research in Adult Development (SRAD), British Psychological Society (BPS), Canadian Psychological Association (CPA), and other related organisations.
Автор: Brown, Jonathon D. Название: Advanced statistics for the behavioral sciences ISBN: 331993547X ISBN-13(EAN): 9783319935478 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Building on the author`s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment.
Автор: Gravetter Название: Research Methods For The Behavioral Sciences 1E ISBN: 1473774039 ISBN-13(EAN): 9781473774032 Издательство: Cengage Learning Рейтинг: Цена: 63350.00 T Наличие на складе: Нет в наличии. Описание: Debunking the myths around the current economic belief systems, this book reveals how mainstream perspectives work for the benefit of the organised money establishment, while causing all manner of destructions and inequalities which work against the common good. It offers a refreshingly simple business strategy model for a truly sustainable future.
Автор: Gravetter/Wallnau Название: Aise-Statistics For The Behavioral Sciences ISBN: 0495095214 ISBN-13(EAN): 9780495095217 Издательство: Cengage Learning Рейтинг: Цена: 70740.00 T Наличие на складе: Нет в наличии. Описание: Presents an introduction to statistics for students in the behavioral and social sciences. This book offers students straightforward instruction, built-in learning aids, and real-world examples. It offers students various opportunities to practice statistical techniques through learning checks, examples, demonstrations, and problems.
Автор: Huan Liu; John Salerno; Michael J. Young Название: Social Computing, Behavioral Modeling, and Prediction ISBN: 1441945970 ISBN-13(EAN): 9781441945976 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Preface.- Acknowledgments.- List of Contributors.- Rational Choice Theory: A Forum for Exchange of Ideas between the Hard and Social Sciences in Predictive Behavioral Modeling.- The SOMA Terror Organization Portal (STOP): Social network and analytic tools for the real-time analysis of terror groups.- The Sociology of Alien Rule.- The DoD Encounters the Blogosphere.- Integrating Multi-Agent Technology with Cognitive Modeling to Develop an Insurgency Information Framework (IIF).- Stochastic Opponent Modeling Agents: A Case Study with Hezbollah.- An approach to modeling group behaviors and beliefs in conflict situations.- Computational Models of Multi-national Organizations.- Clustering of Trajectory Data Obtained from Soccer Game Records - A First Step to Behavioral Modeling.- Mobile Phone Data for Inferring Social Network Structure.- Human Behavioral Modeling Using Fuzzy and Dempster-Shafer Theory.- Online Behavioral Analysis and Modeling Methodology (OBAMM - Mining for Social Processes in Intelligence Data Streams.- An Ant Colony Optimization Approach to Expert Identification in Social Networks.- Attribution-based Anomaly Detection: Trustworthiness in an Online Community.- Particle Swarm Social Model for Group Social Learning in Adaptive Environment.- Social Network Analysis: Tasks and Tools.- Behavioral Entropy of a Cellular Phone.- Community Detection in a Large Real-World Social Network.- Where are the slums? New approaches to urban regeneration.- A Composable Discrete-Time Cellular Automaton Formalism.- Designing Group Annotations and Process Visualizations for Role-Based Collaboration.- Modeling Malaysian Public Opinion by Mining the Malaysian Blogosphere.- Reading Between the Lines: Human-centered Classification of Communication Patterns and Intentions.- Metagame Strategies of Nation-States, with Application to Cross-Strait Relations.- Automating Frame Analysis.- Using Topic Analysis to Compute Identity Group Attributes.- Biographies.- Author Index.
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