Categorical Variables In Developmental Research

Download or read book Categorical Variables in Developmental Research written by Alexander von Eye and published by Elsevier. This book was released on 1996-02-05 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Categorical Variables in Developmental Research provides developmental researchers with the basic tools for understanding how to utilize categorical variables in their data analysis. Covering the measurement of individual differences in growth rates, the measurement of stage transitions, latent class and log-linear models, chi-square, and more, the book provides a means for developmental researchers to make use of categorical data. - Measurement and repeated observations of categorical data - Catastrophe theory - Latent class and log-linear models - Applications

Download or read book Handbook of Developmental Research Methods written by Brett Laursen and published by Guilford Press. This book was released on 2012-02-01 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Download or read book Cognitive Developmental Change written by Andreas Demetriou and published by Cambridge University Press. This book was released on 2005-01-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Developmental Change makes a fascinating contribution to the fields of developmental, cognitive and educational science by bringing together a uniquely diverse range of perspectives for analysing the dynamics of change. Connecting traditional Piagetian, information processing, and psychometric approaches with newer frameworks for the analysis of developmental change it provides the reader with an account of the latest theory and research at the time of publication. The contributors to the volume, all internationally respected experts, were asked when writing to consider three main aspects of cognitive change. Its object (what changes in the mind during development), its nature (how does change occur?) and its causes (why does change occur? Or, what are the internal and external factors responsible for cognitive change?). As a result chapters cover key theories of cognitive change, the factors that affect change including neurological, emotional and socio-cultural factors and methods for measuring and modelling change.

Download or read book Research Manual in Child Development written by Lorraine Nadelman and published by Psychology Press. This book was released on 2003-10-03 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique hands-on lab manual in child development provides great ideas and resources for teaching research courses involving child subjects. It includes projects in psychomotor/perceptual, cognitive, and social development. Projects are preceded by background essays on the history of that topic, related research, theoretical issues, and controversies. Each project has hypotheses to test, detailed procedures to follow, all stimuli, individual and group data sheets, empty tables, suggested statistics, discussion questions, and an updated bibliography. Special features of this second edition: *The introductory text portion details research considerations, including an introduction to psychological research, sections on developmental research, children as subjects, and general experimental research procedures. *The popular Infant Observation project has the student visit homes with babies for a semester and provides practice in observational data collection, reliability assessment, and report writing. *The cognitive development section includes two new subfields: Theory of Mind and Language--Children's Interpretation of the Word Big, in addition to classic studies of Piaget's spatial perspective-taking and attention and memory. The final chapter describes a suggested neuropsychological project. *The socialized child section includes a new study on sibling relationships as seen by the older or younger sibling, in addition to the earlier projects on self-esteem, sex identity, and cooperation-competition. The final section describes a suggested cross-cultural interview project.

Download or read book Introductory Statistics for Health and Nursing Using SPSS written by Louise Marston and published by SAGE. This book was released on 2009-12-15 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory Statistics for Health & Nursing using SPSS is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text eschews long and off-putting statistical formulae in favour of non-daunting practical and SPSS-based examples. What′s more, its content will fit ideally with the common course content of stats courses in the field. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by lecturers with their students. The inclusion of real-world data and a host of health-related examples should make this an ideal core text for any introductory statistics course in the field.

Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

Download or read book Latent Class and Latent Transition Analysis written by Linda M. Collins and published by John Wiley & Sons. This book was released on 2013-05-20 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful to identify latent, or unobserved, subgroups in a population, where individuals' subgroup membership is inferred from their responses on a set of observed variables. Latent Class and Latent Transition Analysis provides a comprehensive and unified introduction to this topic through one-of-a-kind, step-by-step presentations and coverage of theoretical, technical, and practical issues in categorical latent variable modeling for both cross-sectional and longitudinal data. The book begins with an introduction to latent class and latent transition analysis for categorical data. Subsequent chapters delve into more in-depth material, featuring: A complete treatment of longitudinal latent class models Focused coverage of the conceptual underpinnings of interpretation and evaluationof a latent class solution Use of parameter restrictions and detection of identification problems Advanced topics such as multi-group analysis and the modeling and interpretation of interactions between covariates The authors present the topic in a style that is accessible yet rigorous. Each method is presented with both a theoretical background and the practical information that is useful for any data analyst. Empirical examples showcase the real-world applications of the discussed concepts and models, and each chapter concludes with a "Points to Remember" section that contains a brief summary of key ideas. All of the analyses in the book are performed using Proc LCA and Proc LTA, the authors' own software packages that can be run within the SAS® environment. A related Web site houses information on these freely available programs and the book's data sets, encouraging readers to reproduce the analyses and also try their own variations. Latent Class and Latent Transition Analysis is an excellent book for courses on categorical data analysis and latent variable models at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners in the social, behavioral, and health sciences who conduct latent class and latent transition analysis in their everyday work.