This overview of the central issues of data quality in longitudinal research focuses on data relevant for studying individual development. The topics covered include reliability, validity, sampling, aggregation, and the correspondence between theory and method. More specific, practical issues in longitudinal research, such as the drop-out problem and issues of confidentiality are also addressed. The volume is the result of an interdisciplinary endeavor by leading European scientists to discuss appropriate ways of handling various types of longitudinal data, including psychiatric data, alcohol data, and criminal data.
Methods and Applications of Longitudinal Data Analysis describes methods for the analysis of longitudinal data in the medical, biological and behavioral sciences. It introduces basic concepts and functions including a variety of regression models, and their practical applications across many areas of research. Statistical procedures featured within the text include: - descriptive methods for delineating trends over time - linear mixed regression models with both fixed and random effects - covariance pattern models on correlated errors - generalized estimating equations - nonlinear regression models for categorical repeated measurements - techniques for analyzing longitudinal data with non-ignorable missing observations Emphasis is given to applications of these methods, using substantial empirical illustrations, designed to help users of statistics better analyze and understand longitudinal data. Methods and Applications of Longitudinal Data Analysis equips both graduate students and professionals to confidently apply longitudinal data analysis to their particular discipline. It also provides a valuable reference source for applied statisticians, demographers and other quantitative methodologists. - From novice to professional: this book starts with the introduction of basic models and ends with the description of some of the most advanced models in longitudinal data analysis - Enables students to select the correct statistical methods to apply to their longitudinal data and avoid the pitfalls associated with incorrect selection - Identifies the limitations of classical repeated measures models and describes newly developed techniques, along with real-world examples.
Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory
Survey research is one of the most widely used research methodologies across the social and behavioral sciences. Two trends that have had a major impact on the development of survey methods over the last decade are (1) the application of techniques and theories from cognitive psychology to the understanding and reduction of survey measurement error, and (2) the application of new computer and telephony technologies to data collection and analysis. These trends and other emerging issues from the 1990's literature on survey research methods are captured here in 617 detailed annotations to monographs, journals, government documents, dissertations, and ERIC documents. Annotations include examples from business, criminology, education, health and medicine, law, library science, mass media, military science, political science, psychology, sociology, social work, religion, and women's studies. The bibliographic entries provide every useful element, including series names, complete subtitles, and overall text page numbers as well as chapter page numbers. The extensive annotations are more complete, and more detailed than is typical for annotated bibliographies. The descriptions include highlights of the study data and sufficient detail to enable the reader to make an informed choice as to whether to seek the full text. Appendices include journals cited and the major survey research organizations. The annotations are easily accessed through author and subject indexes.
Computing Handbook, Third Edition: Information Systems and Information Technology demonstrates the richness and breadth of the IS and IT disciplines. The second volume of this popular handbook explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management Like the first volume, this second volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.
Overview An MBA in information technology (or a Master of Business Administration in Information Technology) is a degree that will prepare you to be a leader in the IT industry. Content - Managing Projects and IT - Information Systems and Information Technology - IT Manager's Handbook - Business Process Management - Human Resource Management - Principles of Marketing - The Leadership - Just What Does an IT Manager Do? - The Strategic Value of the IT Department - Developing an IT Strategy - Starting Your New Job - The First 100 Days etc. - Managing Operations - Cut-Over into Operations - Agile-Scrum Project Management - IT Portfolio Management - The IT Organization etc. - Introduction to Project Management - The Project Management and Information Technology Context - The Project Management Process Groups: A Case Study - Project Integration Management - Project Scope Management - Project Time Management - Project Cost Management - Project Quality Management - Project Human Resource Management - Project Communications Management - Project Risk Management - Project Procurement Management - Project Stakeholder Management - 50 Models for Strategic Thinking - English Vocabulary For Computers and Information Technology Duration 12 months Assessment The assessment will take place on the basis of one assignment at the end of the course. Tell us when you feel ready to take the exam and we’ll send you the assignment questions. Study material The study material will be provided in separate files by email / download link.
Few behavioral or health science studies proceed seamlessly. This refreshingly candid guide presents firsthand vignettes of obstacles on the bumpy road of research and offers feasible, easy-to-implement solutions. Contributors from a range of disciplines describe real-world problems at each stage of a quantitative or qualitative research project—from gaining review board approval to collecting and analyzing data—and discuss how these problems were resolved. A detailed summary chart helps readers quickly find material on specific issues, methods, and settings. Written with clarity and wit, the vignettes provide exemplars of critical thinking that researchers can apply when developing the operational plan of a study or when facing practical difficulties in a particular research phase. Winner--American Journal of Nursing Book of the Year Award!
Bringing together over 25 years of research into the social aspects of learning disabilities (LD), this book presents a range of topics that reflect on the richness of research interests in the discipline. In honor of Tanis Bryan, the pioneer in research on social competence of children with LD, the researchers that follow her lead systematically examine critical issues in the social relationships of these children. The book begins by placing the work of Bryan and her research associates' in context, in terms of the prevailing theoretical frameworks and social political influences that led to the enormous impact of the work. The chapters that follow discuss: *social cognition in children and adolescents with LD; *self-understanding and self-esteem in children and adults with LD; *the lonely plight, peer influence, and friendship patterns of children with LD; *parental understanding and how this understanding shapes their scaffolding of learning in their children with language disabilities; *a new intervention approach toward enhancing self-concept and reading comprehension in LD students through bibliotherapy; *important and timely information on interventions for enhancing peer relations and preventing drop-out in adolescents; *models in longitudinal research with implications for research on social dimensions of LD; and *the important role of teachers in enhancing classroom social experiences for students with LD. Summarizing research findings and their implications in the various areas in the field, this book will be an excellent text for a special topics course in graduate programs in learning disabilities, special education, psychology, and social work. In addition, it will be a highly important resource for university/college teachers, researchers, graduate and honors students, and professionals in learning disabilities, social psychology, and social work.
