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Author: Mathilda Du Toit Publisher: Scientific Software International ISBN: 9780894980442 Category : Science Languages : en Pages : 514
Book Description
Overview of the interface - Prelis examples - Lisrel examples - Multilevel examples - Firm examples - New statistical features - Syntax.
Author: Mathilda Du Toit Publisher: Scientific Software International ISBN: 9780894980442 Category : Science Languages : en Pages : 514
Book Description
Overview of the interface - Prelis examples - Lisrel examples - Multilevel examples - Firm examples - New statistical features - Syntax.
Author: Armando Luis Vieira Publisher: Springer Science & Business Media ISBN: 3642180442 Category : Mathematics Languages : en Pages : 91
Book Description
“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.
Author: Yaacov Petscher Publisher: Routledge ISBN: 113626633X Category : Education Languages : en Pages : 389
Book Description
To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.
Author: Randall E. Schumacker Publisher: Routledge ISBN: 1351562622 Category : Psychology Languages : en Pages : 284
Book Description
This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation modeling. This book will be of interest to researchers and practitioners in education and the social sciences.
Author: K. G. Jöreskog Publisher: Scientific Software International ISBN: 9780894980411 Category : Analysis of variance Languages : en Pages : 256
Book Description
Prelis procedures - General instructions for the problem rum - Prelis commands - Examples and exercises : Warnings and error messages - New features in Prelis 2 - Simulation with Prelis 2 and Prelis 8.
Author: Randall E. Schumacker Publisher: Routledge ISBN: 1136968555 Category : Psychology Languages : en Pages : 532
Book Description
This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research. Noted for its accessible, applied approach, chapters cover basic concepts and practices and computer input/output from the free student version of Lisrel 8.8 in the examples. Each chapter features an outline, key concepts, a summary, numerous examples from a variety of disciplines, tables, and figures, including path diagrams, to assist with conceptual understanding. The book first reviews the basics of SEM, data entry/editing, and correlation. Next the authors highlight the basic steps of SEM: model specification, identification, estimation, testing, and modification, followed by issues related to model fit and power and sample size. Chapters 6 through 10 follow the steps of modeling using regression, path, confirmatory factor, and structural equation models. Next readers find a chapter on reporting SEM research including a checklist to guide decision-making, followed by one on model validation. Chapters 13 through 16 provide examples of various SEM model applications. The book concludes with the matrix approach to SEM using examples from previous chapters. Highlights of the new edition include: A website with raw data sets for the book's examples and exercises so they can be used with any SEM program, all of the book's exercises, hotlinks to related websites, and answers to all of the exercises for Instructor’s only New troubleshooting tips on how to address the most frequently encountered problems Examples now reference the free student version of Lisrel 8.8 Expanded coverage of advanced models with more on multiple-group, multi-level, & mixture modeling (Chs. 13 & 15), second-order and dynamic factor models (Ch. 14), and Monte Carlo methods (Ch. 16) Increased coverage of sample size and power (Ch. 5) and reporting research (Ch. 11) New journal article references help readers better understand published research (Chs. 13 – 17) and 25 % new exercises with answers to half in the book for student review. Designed for introductory graduate level courses in structural equation modeling or factor analysis taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. An understanding of correlation is assumed. To access the website visit the book page or the Textbook Resource page at http://www.psypress.com/textbook-resources/ for more details.
Author: Nirbhay N Singh Publisher: Elsevier ISBN: 9780080441054 Category : Architecture Languages : en Pages : 566
Book Description
The papers included in this volume highlight research and practice in child and adolescent mental health from around the world. As systems of care are different across countries and cultures, it is imperative that knowledge is shared and lessons learned. The biennial Elsevier conference on Child and Adolescent Mental Health is designed to provide a forum for mental health and educational experts from various disciplines and countries.
Author: Bruce H. Pugesek Publisher: Cambridge University Press ISBN: 1139435396 Category : Nature Languages : en Pages : 427
Book Description
Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables. The ability to conduct such analyses is essential for many problems in ecology and evolutionary biology. This book begins by explaining the theory behind the statistical methodology, including chapters on conceptual issues, the implementation of an SEM study and the history of the development of SEM. The second section provides examples of analyses on biological data including multi-group models, means models, P-technique and time-series. The final section of the book deals with computer applications and contrasts three popular SEM software packages. Aimed specifically at biological researchers and graduate students, this book will serve as valuable resource for both learning and teaching the SEM methodology. Moreover, data sets and programs that are presented in the book can also be downloaded from a website to assist the learning process.
Author: Mathilda Du Toit
Author: Mathilda Du Toit
Author: Armando Luis Vieira
Author: Karl G. Jöreskog
Author: Yaacov Petscher
Author: Randall E. Schumacker
Author: Rex B. Kline
Author: K. G. Jöreskog
Author: Randall E. Schumacker
Author: Nirbhay N Singh
Author: Bruce H. Pugesek