Download or read book SAS Structural Equation Modeling 1 3 for JMP written by SAS Institute (Cary, N.C.) and published by . This book was released on 2012-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Documents a graphical user interface that provides easy access to structural equation modeling techniques. SAS Structural Equation Modeling for JMP enables you to quickly specify models in graphical form to represent the hypothesized relationships among the variables. It is accessed from the JMP application and uses the SAS/STAT CALIS procedure to perform computations. This title is also available online.
Download or read book SAS Structural Equation Modeling 2 for Jmp written by Sas Institute and published by SAS Institute. This book was released on 2014-05-14 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Documenting a graphical user interface that provides easy access to structural equation modeling techniques, this book enables you to quickly specify models in graphical form to represent the hypothesized relationships among the variables. It is accessed from the JMP application and uses the SAS/STAT CALIS procedure to perform computations.
Download or read book Structural Equation Modeling Using R SAS written by Ding-Geng Chen and published by CRC Press. This book was released on 2023-08-21 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been considerable attention to making the methodologies of structural equation modeling available to researchers, practitioners, and students along with commonly used software. Structural Equation Modelling Using R/SAS aims to bring it all together to provide a concise point-of-reference for the most commonly used structural equation modeling from the fundamental level to the advanced level. This book is intended to contribute to the rapid development in structural equation modeling and its applications to real-world data. Straightforward explanations of the statistical theory and models related to structural equation models are provided, using a compilation of a variety of publicly available data, to provide an illustration of data analytics in a step-by-step fashion using commonly used statistical software of R and SAS. This book is appropriate for anyone who is interested in learning and practicing structural equation modeling, especially in using R and SAS. It is useful for applied statisticians, data scientists and practitioners, applied statistical analysts and scientists in public health, and academic researchers and graduate students in statistics, whilst also being of use to R&D professionals/practitioners in industry and governmental agencies. Key Features: Extensive compilation of commonly used structural equation models and methods from fundamental to advanced levels Straightforward explanations of the theory related to the structural equation models Compilation of a variety of publicly available data Step-by-step illustrations of data analysis using commonly used statistical software R and SAS Data and computer programs are available for readers to replicate and implement the new methods to better understand the book contents and for future applications Handbook for applied statisticians and practitioners
Download or read book Structural Equation Modeling Using SAS written by Catherine Truxillo and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This course introduces the experienced statistical analyst to structural equation modeling (SEM) and the new PATH language in the CALIS procedure in SAS/STAT software. The course also introduces the SAS with an easy-to-use diagram-creating interface. Structural equation modeling is a statistical technique that combines elements of traditional multivariate models, such as regression analysis, factor analysis, and simultaneous equation modeling. These models are often represented as matrices, equations, and/or path diagrams and can explicitly account for uncertainty in observed variables and for estimation bias due to measurement error. Competing models can be compared to one another, providing information about the complex drivers of the outcome variables of interest. Many applications of SEM can be found in the social, economic, and behavioral sciences, where measurement error and uncertain causal conditions are commonly encountered." -- page [vi].
Download or read book Quantitative Psychology Research written by L. Andries van der Ark and published by Springer. This book was released on 2015-08-08 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: These research articles from the 79th Annual Meeting of the Psychometric Society (IMPS) cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 79th annual meeting took place in Madison, WI between July 21nd and 25th, 2014. Previous volumes to showcase work from the Psychometric Society’s Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013) and Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015).
Download or read book SAS for Forecasting Time Series Third Edition written by John C. Brocklebank, Ph.D. and published by SAS Institute. This book was released on 2018-03-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: To use statistical methods and SAS applications to forecast the future values of data taken over time, you need only follow this thoroughly updated classic on the subject. With this third edition of SAS for Forecasting Time Series, intermediate-to-advanced SAS users—such as statisticians, economists, and data scientists—can now match the most sophisticated forecasting methods to the most current SAS applications. Starting with fundamentals, this new edition presents methods for modeling both univariate and multivariate data taken over time. From the well-known ARIMA models to unobserved components, methods that span the range from simple to complex are discussed and illustrated. Many of the newer methods are variations on the basic ARIMA structures. Completely updated, this new edition includes fresh, interesting business situations and data sets, and new sections on these up-to-date statistical methods: ARIMA models Vector autoregressive models Exponential smoothing models Unobserved component and state-space models Seasonal adjustment Spectral analysis Focusing on application, this guide teaches a wide range of forecasting techniques by example. The examples provide the statistical underpinnings necessary to put the methods into practice. The following up-to-date SAS applications are covered in this edition: The ARIMA procedure The AUTOREG procedure The VARMAX procedure The ESM procedure The UCM and SSM procedures The X13 procedure The SPECTRA procedure SAS Forecast Studio Each SAS application is presented with explanation of its strengths, weaknesses, and best uses. Even users of automated forecasting systems will benefit from this knowledge of what is done and why. Moreover, the accompanying examples can serve as templates that you easily adjust to fit your specific forecasting needs. This book is part of the SAS Press program.
Download or read book Analysis of Observational Health Care Data Using SAS written by Douglas E. Faries and published by SAS Press. This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.
Download or read book Business Statistics Made Easy in SAS written by Gregory Lee and published by SAS Institute. This book was released on 2015-10-30 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS, and basic statistics (descriptive statistics and basic associational statistics). It provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. It teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. --
Download or read book Encyclopedia of Measurement and Statistics written by Neil J. Salkind and published by SAGE. This book was released on 2007 with total page 1417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description
Download or read book The Encyclopedia of Adulthood and Aging 3 Volume Set written by Susan K. Whitbourne and published by John Wiley & Sons. This book was released on 2016-01-19 with total page 1660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative reference work contains more than 300 entries covering all aspects of the multi-disciplinary field of adult development and aging Brings together concise, accurate summaries of classic topics as well as the most recent thinking and research in new areas Covers a broad range of issues, from biological and physiological changes in the body to changes in cognition, personality, and social roles to applied areas such as psychotherapy, long-term care, and end-of-life issues Includes contributions from major researchers in the academic and clinical realms 3 Volumes www.encyclopediaadulthoodandaging.com
Download or read book Handbook of Sport Psychology written by Gershon Tenenbaum and published by John Wiley & Sons. This book was released on 2020-03-31 with total page 1392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of a classic, leading resource for the field of sport, exercise, and performance psychology Now expanded to two volumes, and featuring a wealth of new chapters from highly respected scholars in the field, this all-new edition of the Handbook of Sports Psychology draws on an international roster of experts and scholars in the field who have assembled state-of-the-art knowledge into this thorough, well-rounded, and accessible volume. Endorsed by the International Society of Sport Psychology, it represents an invaluable source of theoretical and practical information on our understanding of the role of psychology in sport, exercise, and performance—and how that understanding can be applied in order to improve real-world outcomes. Presented in eight parts, the Handbook of Sports Psychology, 4th Edition adds new material on emerging areas such as mindfulness, brain mapping, self-consciousness, and mental toughness, and covers special topics such as gender and cultural diversity, athletes with disabilities, and alcohol and drug use in sports. In addition, it covers classic topics such as what motivates an athlete to perform; why do some choke under pressure; how do top performers handle leadership roles; what does one do to mentally train; how an athlete deals with injury; and much more. Fourth edition of the most influential reference work for the field of sport psychology New coverage includes mindfulness in sport and exercise psychology, ethics, mental toughness, sport socialization, and making use of brain technologies in practice Endorsed by the International Society of Sport Psychology (ISSP) Handbook of Sports Psychology, 4th Edition is an indispensable resource for any student or professional interested in the field of sports psychology.
Download or read book SAS STAT 9 3 User s Guide written by Sas Institute and published by . This book was released on 2011-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The GLIMMIX procedure fits and analyzes generalized linear mixed models (GLMM), models with random effects for data that can be nonnormally distributed. This title is also available online.
Download or read book JMP for Mixed Models written by Ruth Hummel and published by SAS Institute. This book was released on 2021-06-09 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the power of mixed models with JMP and JMP Pro. Mixed models are now the mainstream method of choice for analyzing experimental data. Why? They are arguably the most straightforward and powerful way to handle correlated observations in designed experiments. Reaching well beyond standard linear models, mixed models enable you to make accurate and precise inferences about your experiments and to gain deeper understanding of sources of signal and noise in the system under study. Well-formed fixed and random effects generalize well and help you make the best data-driven decisions. JMP for Mixed Models brings together two of the strongest traditions in SAS software: mixed models and JMP. JMP’s groundbreaking philosophy of tight integration of statistics with dynamic graphics is an ideal milieu within which to learn and apply mixed models, also known as hierarchical linear or multilevel models. If you are a scientist or engineer, the methods described herein can revolutionize how you analyze experimental data without the need to write code. Inside you’ll find a rich collection of examples and a step-by-step approach to mixed model mastery. Topics include: Learning how to appropriately recognize, set up, and interpret fixed and random effects Extending analysis of variance (ANOVA) and linear regression to numerous mixed model designs Understanding how degrees of freedom work using Skeleton ANOVA Analyzing randomized block, split-plot, longitudinal, and repeated measures designs Introducing more advanced methods such as spatial covariance and generalized linear mixed models Simulating mixed models to assess power and other important sampling characteristics Providing a solid framework for understanding statistical modeling in general Improving perspective on modern dilemmas around Bayesian methods, p-values, and causal inference
Download or read book JMP written by and published by . This book was released on 2000 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Subject Guide to Books in Print written by and published by . This book was released on 1997 with total page 3310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The British National Bibliography written by Arthur James Wells and published by . This book was released on 1998 with total page 1648 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Analysis of Clinical Trials Using SAS written by Alex Dmitrienko and published by SAS Institute. This book was released on 2017-07-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of Clinical Trials Using SAS®: A Practical Guide, Second Edition bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statistical approaches, describe their clinical trial applications, and implement the approaches rapidly and efficiently using the power of SAS. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. Commonly used methods are covered, including dose-escalation and dose-finding methods that are applied in Phase I and Phase II clinical trials, as well as important trial designs and analysis strategies that are employed in Phase II and Phase III clinical trials, such as multiplicity adjustment, data monitoring, and methods for handling incomplete data. This book also features recommendations from clinical trial experts and a discussion of relevant regulatory guidelines. This new edition includes more examples and case studies, new approaches for addressing statistical problems, and the following new technological updates: SAS procedures used in group sequential trials (PROC SEQDESIGN and PROC SEQTEST) SAS procedures used in repeated measures analysis (PROC GLIMMIX and PROC GEE) macros for implementing a broad range of randomization-based methods in clinical trials, performing complex multiplicity adjustments, and investigating the design and analysis of early phase trials (Phase I dose-escalation trials and Phase II dose-finding trials) Clinical statisticians, research scientists, and graduate students in biostatistics will greatly benefit from the decades of clinical research experience and the ready-to-use SAS macros compiled in this book.
