Introduction To Structural Equation Modeling Using Ibm Spss Statistics And Amos

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Author : Niels Blunch
Publisher : SAGE
Page : 314 pages
File Size : 47,9 Mb
Release : 2012-11-09
Category : Reference
ISBN : 9781446271841

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos by Niels Blunch Pdf

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark

Introduction to Structural Equation Modelling Using SPSS and Amos

Author : Niels Blunch
Publisher : SAGE
Page : 281 pages
File Size : 42,7 Mb
Release : 2012-06-21
Category : Social Science
ISBN : 9781446204795

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Introduction to Structural Equation Modelling Using SPSS and Amos by Niels Blunch Pdf

Introduction to Structural Equation Modelling using SPSS and AMOS is a complete guide to carrying out your own structural equation modelling project. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to structural equation modelling (SEM). Each chapter begins with learning objectives, and ends with a list of the new concepts introduced and questions to open up further discussion. Exercises for each chapter, incuding the necessary data, can be downloaded from the book′s website. Helpful real life examples are included throughout, drawing from a wide range of disciplines including psychology, political science, marketing and health. Introduction to Structural Equation Modelling using SPSS and AMOS provides engaging and accessible coverage of all the basics necessary for using SEM, making it an invaluable companion for students taking introductory SEM courses in any discipline.

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Author : Niels Blunch
Publisher : SAGE
Page : 424 pages
File Size : 47,5 Mb
Release : 2012-11-09
Category : Reference
ISBN : 9781446290576

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos by Niels Blunch Pdf

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos

Author : Niels Blunch
Publisher : Unknown
Page : 313 pages
File Size : 51,7 Mb
Release : 2012
Category : Structural equation modeling
ISBN : 1446283836

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and Amos by Niels Blunch Pdf

This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life exa.

Structural Equation Modeling With AMOS

Author : Barbara M. Byrne
Publisher : Psychology Press
Page : 348 pages
File Size : 46,8 Mb
Release : 2001-04
Category : Psychology
ISBN : 9781135667689

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Structural Equation Modeling With AMOS by Barbara M. Byrne Pdf

This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and appli.

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Author : Niels J. Blunch
Publisher : SAGE
Page : 436 pages
File Size : 45,8 Mb
Release : 2015-10-15
Category : Social Science
ISBN : 9781473943292

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Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS by Niels J. Blunch Pdf

This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS′ excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. A wide variety of examples from multiple disciplines and real world contexts. Exercises for each chapter on an accompanying . A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.

Structural Equation Modelling

Author : Jitesh J. Thakkar
Publisher : Springer
Page : 124 pages
File Size : 48,5 Mb
Release : 2021-03-14
Category : Technology & Engineering
ISBN : 981153795X

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Structural Equation Modelling by Jitesh J. Thakkar Pdf

Structural Equation Modeling provides a conceptual and mathematical understanding of structural equation modelling, helping readers across disciplines understand how to test or validate theoretical models, and build relationships between observed variables. In addition to a providing a background understanding of the concepts, it provides step-by-step illustrative applications with AMOS, SPSS and R software programmes. This volume will serve as a useful reference for academic and industry researchers in the fields of engineering, management, psychology, sociology, human resources, and humanities.

Applied Structural Equation Modeling using AMOS

Author : Joel E. Collier
Publisher : Routledge
Page : 354 pages
File Size : 53,7 Mb
Release : 2020-05-25
Category : Psychology
ISBN : 9781000066319

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Applied Structural Equation Modeling using AMOS by Joel E. Collier Pdf

This is an essential how-to guide on the application of structural equation modeling (SEM) techniques with the AMOS software, focusing on the practical applications of both simple and advanced topics. Written in an easy-to-understand conversational style, the book covers everything from data collection and screening to confirmatory factor analysis, structural model analysis, mediation, moderation, and more advanced topics such as mixture modeling, censored date, and non-recursive models. Through step-by-step instructions, screen shots, and suggested guidelines for reporting, Collier cuts through abstract definitional perspectives to give insight on how to actually run analysis. Unlike other SEM books, the examples used will often start in SPSS and then transition to AMOS so that the reader can have full confidence in running the analysis from beginning to end. Best practices are also included on topics like how to determine if your SEM model is formative or reflective, making it not just an explanation of SEM topics, but a guide for researchers on how to develop a strong methodology while studying their respective phenomenon of interest. With a focus on practical applications of both basic and advanced topics, and with detailed work-through examples throughout, this book is ideal for experienced researchers and beginners across the behavioral and social sciences.

SPSS Statistics for Data Analysis and Visualization

Author : Keith McCormick,Jesus Salcedo
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 48,5 Mb
Release : 2017-04-17
Category : Computers
ISBN : 9781119003663

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SPSS Statistics for Data Analysis and Visualization by Keith McCormick,Jesus Salcedo Pdf

Dive deeper into SPSS Statistics for more efficient, accurate,and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goesbeyond the basics of SPSS Statistics to show you advancedtechniques that exploit the full capabilities of SPSS. The authorsexplain when and why to use each technique, and then walk youthrough the execution with a pragmatic, nuts and bolts example.Coverage includes extensive, in-depth discussion of advancedstatistical techniques, data visualization, predictive analytics,and SPSS programming, including automation and integration withother languages like R and Python. You'll learn the best methods topower through an analysis, with more efficient, elegant, andaccurate code. IBM SPSS Statistics is complex: true mastery requires a deepunderstanding of statistical theory, the user interface, andprogramming. Most users don't encounter all of the methods SPSSoffers, leaving many little-known modules undiscovered. This bookwalks you through tools you may have never noticed, and shows youhow they can be used to streamline your workflow and enable you toproduce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create bettervisualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient,more powerful code These "hidden tools" can help you produce charts that simplywouldn't be possible any other way, and the support for otherprogramming languages gives you better options for solving complexproblems. If you're ready to take advantage of everything thispowerful software package has to offer, SPSS Statistics for DataAnalysis and Visualization is the expert-led training youneed.

Practical Statistics

Author : David Kremelberg
Publisher : SAGE Publications
Page : 528 pages
File Size : 49,5 Mb
Release : 2010-03-18
Category : Social Science
ISBN : 9781506317915

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Practical Statistics by David Kremelberg Pdf

Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

Applied Multivariate Research

Author : Lawrence S. Meyers,Glenn Gamst,A.J. Guarino
Publisher : SAGE Publications
Page : 938 pages
File Size : 49,6 Mb
Release : 2016-10-28
Category : Social Science
ISBN : 9781506329789

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Applied Multivariate Research by Lawrence S. Meyers,Glenn Gamst,A.J. Guarino Pdf

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Performing Data Analysis Using IBM SPSS

Author : Lawrence S. Meyers,Glenn C. Gamst,A. J. Guarino
Publisher : John Wiley & Sons
Page : 741 pages
File Size : 46,6 Mb
Release : 2013-08-12
Category : Mathematics
ISBN : 9781118357019

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Performing Data Analysis Using IBM SPSS by Lawrence S. Meyers,Glenn C. Gamst,A. J. Guarino Pdf

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R

Author : Joseph F. Hair Jr.,G. Tomas M. Hult,Christian M. Ringle,Marko Sarstedt,Nicholas P. Danks,Soumya Ray
Publisher : Springer Nature
Page : 208 pages
File Size : 51,7 Mb
Release : 2021-11-03
Category : Business & Economics
ISBN : 9783030805197

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Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R by Joseph F. Hair Jr.,G. Tomas M. Hult,Christian M. Ringle,Marko Sarstedt,Nicholas P. Danks,Soumya Ray Pdf

Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.

Multiple Regression and Beyond

Author : Timothy Z. Keith
Publisher : Routledge
Page : 862 pages
File Size : 42,8 Mb
Release : 2019-01-14
Category : Education
ISBN : 9781351667920

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Multiple Regression and Beyond by Timothy Z. Keith Pdf

Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources

An Introduction to MATLAB for Behavioral Researchers

Author : Christopher R. Madan
Publisher : SAGE Publications
Page : 280 pages
File Size : 42,5 Mb
Release : 2013-12-18
Category : Psychology
ISBN : 9781483323244

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An Introduction to MATLAB for Behavioral Researchers by Christopher R. Madan Pdf

MATLAB is a powerful data analysis program, but many behavioral science researchers find it too daunting to learn and use. An Introduction to MATLAB for Behavioral Researchers by Christopher R. Madan is an easy-to-understand, hands-on guide for behavioral researchers who have no prior programming experience. Written in a conversational and non-intimidating style, the author walks students—step by step—through analyzing real experimental data. Topics covered include the basics of programming, the implementation of simple behavioral analyses, and how to make publication-ready figures. More advanced topics such as pseudo-randomization of trial sequences to meet specified criteria and working with psycholinguistic data are also covered. Interesting behavioral science examples and datasets from published studies, such as visualizing fixation patterns in eye-tracking studies and animal search behavior in two-dimensional space, help develop an intuition for data analysis, which is essential and can only be developed when working with real research problems and real data.