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Structural Equation Modeling & Path Analysis using IBM AMOS

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Based on 54 ratings
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Research with Shahed

Structural Equation Modeling (SEM), a second-generation multivariate technique, has become a widely used technique for examining complex business and social research models. SEM is expressly considered prominent in behavioral studies where the variables are latent. There are two types of SEM where covariance-based SEM (CB-SEM) is primarily used to confirm (or reject) theories (i.e., a set of systematic relationships between multiple variables that can be tested empirically).

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Structural Equation Modeling (SEM), a second-generation multivariate technique, has become a widely used technique for examining complex business and social research models. SEM is expressly considered prominent in behavioral studies where the variables are latent. There are two types of SEM where covariance-based SEM (CB-SEM) is primarily used to confirm (or reject) theories (i.e., a set of systematic relationships between multiple variables that can be tested empirically).

The most popular and user-friendly software package for CB-SEM is AMOS (Analysis of Moments Structures), which enables researchers to analyze the inter-relationships among constructs having multiple indicators in a model, where the inter-relationships are estimated simultaneously. AMOS is also owned by IBM, and the software is intertwined with SPSS; hence, it's also officially known as Moreover, SmartPLS 4 also offers the facility for analyzing models based on CB-SEM.

This course provides a step-by-step guide to CB-SEM and Path Analysis using Whether you're a researcher, data analyst, or student, this course will equip you with the skills to perform complex statistical analyses and interpret results confidently. By the end of this course, you'll be able to build, test, and refine models using AMOS and SmartPLS, being proficient in SEM and Path Analysis.

Why this Course:

  • Master Covariance-based Structural Equation Modeling (CB-SEM) and Path Analysis with

  • Equip yourself with the tools for successful scholarly publications in top-tier business journals.

  • Learn complex statistical analyses quickly and clearly, enhancing your research impact.

  • Develop both theoretical understanding and practical skills for data analysis.

  • Seize excellent career opportunities in a market with high demand for SEM and Path Analysis expertise.

Course Contents:

  • Fundamental concepts related to CB-SEM.

  • Data analysis using SPSS/AMOS/SmartPLS.

  • CFA/Measurement model analysis.

  • Structural model analysis/Hypothesis testing.

  • Mediator/Moderator analysis.

  • Advanced issues in AMOS.

  • Explanation in APA style.

  • Real exercise and solution.

  • Tips and tricks and many more.

What are you waiting for? Enroll now and enjoy:

Thanks and Regards

Shahedul Hasan

Research Assistant & Independent Researcher.

BBA & MBA, University of Dhaka.

Ex-Lecturer, East Delta University.

Data Analysis Instructor, Instructory and Udemy.

Top Rated Freelancer, Upwork.

Editorial Review Board Member, Virtual Economics & Transnational Marketing Journal.

Editor, Global Journal of Entrepreneurship, Innovation and Leadership.

Editorial Assistant, Journal for the Study of Cooperative and Experiential Education.

Enroll now

What's inside

Syllabus

Familiarize learners with the instructor, course structure, and available resources and introduce additional learning opportunities through related courses.
Read more

Introduction to your instructor and his expertise.

Overview of topics and structure of the course.

Recommended books and articles for further learning.

Information about related courses for deeper exploration.

Differences between EFA and CFA in multivariate analysis.

Overview of SEM and comparison of CB-SEM and PLS-SEM.

Explanation of latent constructs and their importance.

Types of measurement models and the distinction between reflective and formative models.

Explore the layout and features of the IBM AMOS interface.

Learn the differences between ML, GLS, and other estimation methods.

Overview of the major steps in SEM.

Define and operationalize constructs.

Understand model identification techniques.

Learn assumptions and determine sample size requirements.

Prepare datasets and conduct preliminary analysis in SPSS.

Learn effective reporting of preliminary analysis results.

Access key resources for practical SEM applications.

Introduction to the purpose and components of a measurement model.

Develop and specify a measurement model in AMOS.

Overview of measurement model fit assessments.

Practical demonstration of model fit assessment in AMOS.

Reporting results of model fit evaluations.

Establishing convergent validity of the model.

Ensuring discriminant validity.

Comprehensive reliability and validity checks in AMOS.

Use of validity plugins in AMOS for better results and time saving.

Documenting and presenting reliability and validity results.

Overview of common validity problems and how to identify them.

Use path estimates and standardized residuals to diagnose issues.

Apply modification indices to refine the measurement model.

Utilize specification search for model improvement.

Access additional resources for troubleshooting model validity issues.

Introduction to the structural model and its components.

Step-by-step development of a structural model in AMOS.

Assess overall fit of the structural model.

Reporting fit results effectively and accurately.

Overview of significance testing for structural paths.

Perform significance testing in AMOS for path analysis.

Document and present significance testing results clearly.

Introduction to mediation analysis and its importance.

Conduct simple mediation analysis using AMOS tools.

Report results for simple mediation analysis effectively.

Perform parallel mediation analysis to evaluate multiple mediators.

Use plugins and estimands in AMOS for indirect effects analysis.

Reporting results of parallel mediation comprehensively.

Overview of moderation analysis and when it is applicable.

Conduct moderation analysis using AMOS.

Perform simple slope analysis to interpret moderating effects.

Report findings from moderation analysis in a structured way.

Introduction to CB-SEM in SmartPLS and its interface.

Conduct measurement model analysis using CB-SEM in SmartPLS.

Perform structural model and mediation analysis in SmartPLS.

Theoretical foundation of higher-order constructs in SEM.

Conduct measurement model analysis for higher-order constructs.

Analyze structural models for higher-order constructs in AMOS.

Introduction to multiple group analysis and its applications.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a step-by-step guide to CB-SEM and Path Analysis, which are essential for examining complex models in business and social research
Equips learners with the skills to perform complex statistical analyses and interpret results confidently using AMOS and SmartPLS, which are popular tools
Covers data analysis using SPSS, AMOS, and SmartPLS, which are commonly used software packages in statistical analysis, offering a comprehensive approach
Requires IBM AMOS, which is intertwined with SPSS, so learners may need to acquire both software packages to fully utilize the course's content
Focuses on covariance-based SEM (CB-SEM), which is primarily used to confirm theories, so learners interested in exploratory analysis may find it less relevant

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Reviews summary

Practical structural equation modeling with amos & smartpls

According to learners, this course provides a comprehensive and step-by-step guide to Structural Equation Modeling and Path Analysis using IBM AMOS and SmartPLS. It's considered highly valuable for researchers, students, and analysts seeking to apply these techniques, covering topics like measurement models, structural models, mediation, and moderation. Many praise the instructor's clear explanations and practical demonstrations within the software. Learners appreciate the real-world examples and guidance on APA style reporting. However, some note that while the course is accessible, a prior foundation in statistics and SPSS can be helpful, and access to the commercial software AMOS is a necessary consideration.
Highly relevant for thesis/publication work.
"This course is perfect for postgraduate students working on their thesis or dissertation."
"It gave me the practical skills needed to apply SEM in my academic research and prepare for publication."
"Highly recommended for anyone doing research that involves latent variables and complex models."
"The focus on APA style reporting is particularly useful for academic writing."
Covers core SEM, mediation, moderation.
"The course covers all the essential aspects of SEM, from measurement models to structural ones, including mediation and moderation."
"I appreciated the detailed sections on mediation and moderation analysis in AMOS."
"It provides a comprehensive overview of SEM, which is exactly what I needed for my research."
"All the key topics needed to conduct SEM are included in this course."
Practical demos using AMOS and SmartPLS.
"The step-by-step demonstrations on using AMOS and SmartPLS are incredibly helpful for practical application."
"I could follow along in the software easily thanks to the clear guidance provided."
"Learning how to perform the analyses directly in AMOS was the most valuable part for me."
"The practical examples in AMOS and SmartPLS solidify the theoretical concepts learned."
Instructor breaks down complex topics clearly.
"The instructor has a remarkable talent for explaining complex topics in a clear and understandable manner."
"His explanations are cristal clear and make even challenging concepts easy to grasp."
"The lectures explain the concepts behind SEM really well and help make sense of the software outputs."
"I found the explanations of the statistical concepts very easy to follow."
Requires obtaining AMOS commercial software.
"Accessing IBM AMOS software can be a hurdle due to its cost or licensing requirements."
"Prospective students should be aware that AMOS is not free and plan accordingly."
"Finding a way to use the software demonstrated is crucial for the practical part of the course."
"The need for AMOS was a significant practical consideration before enrolling."
Benefits from prior stats/SPSS knowledge.
"While the course explains well, having a basic understanding of statistics and SPSS is definitely beneficial."
"It helps if you are already familiar with SPSS for data preparation before starting the course."
"Absolute beginners to statistics might find some initial concepts challenging."
"Prior knowledge of basic data analysis steps would make this course easier to follow."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Structural Equation Modeling & Path Analysis using IBM AMOS with these activities:
Review Multivariate Analysis Concepts
Reinforce your understanding of the foundational statistical concepts that underpin SEM, ensuring a smoother learning experience.
Browse courses on Multivariate Analysis
Show steps
  • Review key concepts like correlation, regression, and factor analysis.
  • Work through practice problems to solidify your understanding.
  • Consult textbooks or online resources for clarification.
Review 'Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming'
Enhance your practical skills in using AMOS by studying a book that focuses on applications and programming.
View Structural Equation Modeling With AMOS on Amazon
Show steps
  • Read the chapters that cover the specific analyses you are interested in.
  • Follow the examples provided in the book to replicate the analyses in AMOS.
  • Experiment with different options and settings in AMOS to see how they affect the results.
Review 'Principles and Practice of Structural Equation Modeling, Fourth Edition'
Deepen your understanding of SEM principles and best practices by studying a comprehensive textbook.
View Becoming a Behavioral Science Researcher on Amazon
Show steps
  • Read the chapters relevant to the course syllabus.
  • Work through the examples provided in the book.
  • Take notes on key concepts and formulas.
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice Model Specification in AMOS
Improve your proficiency in building and specifying SEM models using AMOS through hands-on practice.
Show steps
  • Download sample datasets suitable for SEM analysis.
  • Specify different types of models (e.g., mediation, moderation) in AMOS.
  • Run the models and interpret the output.
  • Compare your results with published studies.
Create a Presentation on Mediation Analysis
Solidify your understanding of mediation analysis by creating a presentation that explains the concepts and demonstrates their application using AMOS.
Show steps
  • Research mediation analysis techniques and their assumptions.
  • Find a relevant dataset and perform mediation analysis in AMOS.
  • Create slides explaining the process and results.
  • Practice presenting the material to a peer or colleague.
Analyze a Published Research Paper Using SEM
Apply your SEM skills to replicate and extend the analysis of a published research paper, deepening your understanding of model building and interpretation.
Show steps
  • Select a research paper that uses SEM and has available data.
  • Replicate the analysis in AMOS, comparing your results.
  • Extend the model by adding new variables or relationships.
  • Write a report summarizing your findings and comparing them to the original paper.

Career center

Learners who complete Structural Equation Modeling & Path Analysis using IBM AMOS will develop knowledge and skills that may be useful to these careers:
Statistical Consultant
A statistical consultant provides expert advice on statistical methods and data analysis to researchers and organizations. The role of statistical consultant perfectly aligns with the skills taught in this course on Structural Equation Modeling and Path Analysis. Statistical consultants are often called upon to analyze complex datasets and model relationships between variables using techniques like CB-SEM, for which this course provides in-depth training. The hands-on experience with AMOS and SmartPLS, combined with the course's focus on model building, assessment, and refinement, make this course an invaluable asset for anyone pursuing a career in statistical consulting. The consultant should take this course in particular to improve the overall quality of consultation.
See salaries and explore the career path for Statistical Consultant
Researcher
A researcher conducts systematic investigations to discover new knowledge or validate existing theories. This course immensely helps in becoming a researcher, because it offers comprehensive training in Structural Equation Modeling and Path Analysis, essential techniques for analyzing complex data and testing research hypotheses. This course will provide a step-by-step guide to using AMOS and SmartPLS. The course’s emphasis on model building, assessment, and refinement, ensures that researchers can conduct rigorous and reliable analyses. This course is extremely helpful for researchers, because it also covers advanced topics like mediation and moderation analysis, enabling a deeper understanding of the relationships between variables. It may equip them to conduct rigorous and reliable analyses.
See salaries and explore the career path for Researcher
Research Methodologist
A research methodologist specializes in the design and implementation of research studies, ensuring their validity and reliability. This course is essential for any research methodologist, because it provides a comprehensive understanding of Structural Equation Modeling and Path Analysis, which are powerful tools for analyzing complex relationships in research data. The course's step-by-step guide to using AMOS and SmartPLS helps methodologists build, test, and refine models, ensuring the rigor of research findings. Specifically, the course’s focus on model fit assessment, reliability, and validity, directly addresses the core concerns of a methodologist. This course may equip research methodologists with the tools for successful scholarly publications.
See salaries and explore the career path for Research Methodologist
Psychometrician
A psychometrician develops and evaluates psychological tests and assessments, ensuring their reliability and validity. This course is highly relevant to the work of a psychometrician, since Structural Equation Modeling and Path Analysis are commonly used to validate psychological constructs and measurement instruments. The course provides hands-on experience with AMOS and SmartPLS, enabling psychometricians to build, test, and refine measurement models. A psychometrician should take this course in particular, because the course covers confirmatory factor analysis, reliability testing, and validity assessments, all of which are essential for ensuring the quality of psychological assessments. It enhances research impact.
See salaries and explore the career path for Psychometrician
Statistician
A statistician designs and conducts statistical analyses to solve problems in various fields, from healthcare to business. This course directly enhances the skillset of a statistician, because it provides in-depth knowledge of Structural Equation Modeling and Path Analysis using AMOS and SmartPLS. Statisticians use these techniques to model complex relationships between variables, test hypotheses, and draw meaningful conclusions from data. The course's comprehensive coverage of model building, assessment, and refinement, aligns perfectly with the core responsibilities of a statistician. This course is particularly helpful, because it allows the person to perform complex statistical analyses and interpret results confidently. It may equip statisticians with the tools for successful scholarly publications.
See salaries and explore the career path for Statistician
Market Research Analyst
A market research analyst studies consumer behavior and market trends to advise companies on product development, marketing strategies, and pricing. This course is directly relevant to the work of a market research analyst, because it provides a deep understanding of multivariate analysis and hypothesis testing, essential for interpreting market data. The course's focus on Structural Equation Modeling and Path Analysis equips analysts with the tools to model complex relationships between market variables, which can lead to better predictions and more effective strategies. Skills in AMOS and SmartPLS, as taught in this course, allow for rigorous testing and refinement of models, enhancing the reliability of market insights. Aspiring market research analysts should take this course to develop both theoretical understanding and practical skills.
See salaries and explore the career path for Market Research Analyst
Econometrician
An econometrician uses statistical methods to analyze economic data and test economic theories. This course enhances the training of an econometrician, because it provides expertise in Structural Equation Modeling and Path Analysis, which are useful for modeling complex economic relationships. The course's focus on CB-SEM and its application using AMOS and SmartPLS, equips econometricians with the tools to build, test, and refine economic models. Aspiring econometricians should take this course in particular, because the course covers advanced topics such as mediation and moderation analysis, which are essential for understanding the underlying mechanisms of economic phenomena. It enhances research impact.
See salaries and explore the career path for Econometrician
Quantitative Analyst
A quantitative analyst develops and implements statistical models for financial markets, focusing on risk management and investment strategies. This course helps build a foundation by providing skills in Structural Equation Modeling and Path Analysis, which are invaluable for modeling complex relationships within financial data. The ability to use AMOS and SmartPLS to test hypotheses and refine models directly translates to creating more robust and reliable financial models. Because the course emphasizes both theoretical understanding and practical application, those aspiring to be quantitative analysts gain the tools to perform complex statistical analyses and interpret results. This course is especially helpful, because the skills taught can enhance research impact.
See salaries and explore the career path for Quantitative Analyst
Survey Researcher
A survey researcher designs, administers, and analyzes surveys to gather data on opinions and behaviors. This course provides valuable skills for survey researchers, because it covers Structural Equation Modeling and Path Analysis, which are useful techniques for analyzing complex survey data. The course provides a step-by-step guide for using AMOS and SmartPLS. This course helps build a foundation for a survey researcher, because it equips them with the tools to model relationships between survey variables, test hypotheses, and draw meaningful conclusions from the data. It enhances the researcher's ability to extract insights from survey data.
See salaries and explore the career path for Survey Researcher
Data Scientist
A data scientist uses statistical techniques and machine learning algorithms to analyze large datasets, extract insights, and develop predictive models. This course helps build a foundation for data science, by providing experience with Structural Equation Modeling and Path Analysis using industry-standard tools like AMOS and SmartPLS. The data scientist benefits from the course's training in building, testing, and refining models, skills which are critical for creating robust and reliable data-driven solutions. Specifically, the skills taught in this course are invaluable for modeling complex relationships and identifying key drivers within datasets, thus enabling more informed decision-making. The course's emphasis on both theory and practical application ensures that data scientists are well-equipped to tackle complex analytical challenges. It may enhance research impact.
See salaries and explore the career path for Data Scientist
Instructor
An instructor teaches courses in higher education or professional development settings. This course may be helpful for an instructor, because it enhances knowledge of Structural Equation Modeling and Path Analysis. By mastering these techniques, instructors can then teach these critical concepts to their students more effectively. The hands-on experience with AMOS and SmartPLS, combined with the course's thorough coverage of model building, assessment, and interpretation, ensures that instructors are well-prepared to guide their students through complex statistical analyses. The course helps them perform complex statistical analyses.
See salaries and explore the career path for Instructor
Policy Analyst
A policy analyst researches and evaluates policies to advise government agencies and organizations. A policy analyst may find this course to be useful, as Structural Equation Modeling and Path Analysis can be applied to analyze the complex relationships between policy variables and outcomes. This course, with its step-by-step guide to using AMOS and SmartPLS may help a policy analyst to build, test, and refine models, and may assist them in improving the effectiveness of policy recommendations. The course provides a foundation to perform in depth statistical analyses related to policy.
See salaries and explore the career path for Policy Analyst
Management Consultant
A management consultant advises organizations on how to improve their performance and efficiency. Management consultants can use the skills taught in this course to analyze complex organizational relationships and identify key drivers of success. This course provides a solid foundation in Structural Equation Modeling and Path Analysis. This course may be useful, because it equips consultants with the tools to model and test hypotheses about organizational dynamics, leading to evidence-based recommendations. The ability to use AMOS and SmartPLS to analyze data and refine models enhances the consultant's ability to provide valuable insights. This course may help them perform complex statistical analyses.
See salaries and explore the career path for Management Consultant
Business Intelligence Analyst
A business intelligence analyst analyzes data to identify trends and insights that can improve business performance. Business intelligence analysts can enhance their analytical capabilities through this course. Structural Equation Modeling and Path Analysis may be useful for modeling complex business relationships and identifying key drivers of performance. This course may be valuable, because AMOS and SmartPLS will help them test hypotheses about business processes and refine their models based on data analysis.
See salaries and explore the career path for Business Intelligence Analyst
Data Analyst
A data analyst collects, cleans, and analyzes data to provide insights and support decision-making. This course may be useful for aspiring data analyst, because it provides skills in Structural Equation Modeling and Path Analysis. The course focuses on using AMOS and SmartPLS to perform complex statistical analyses. While a data analyst may not always use advanced modeling techniques, understanding these methods can enhance their ability to interpret data and communicate findings effectively. This course may help them to perform in depth statistical analyses and interpret results.
See salaries and explore the career path for Data Analyst

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Structural Equation Modeling & Path Analysis using IBM AMOS.
Cover image
Becoming a Behavioral Science Researcher
Save
Comprehensive guide to SEM, covering both theoretical and practical aspects. It provides detailed explanations of various SEM techniques, including model specification, estimation, and evaluation. It valuable resource for understanding the underlying principles of SEM and applying them effectively using software like AMOS. This book is commonly used as a textbook in SEM courses.
Becoming a Behavioral Science Researcher
Paperback
Check
Becoming a Behavioral Science Researcher
Kindle Edition
Check
Cover image
Structural Equation Modeling With AMOS
Save
Provides a practical guide to using AMOS for SEM, with a focus on applying the software to real-world research problems. It covers the basic concepts of SEM and provides step-by-step instructions for conducting various types of analyses in AMOS. This book is particularly useful for learning the practical aspects of SEM and applying them to your own research. It useful reference tool for those using AMOS.
Structural Equation Modeling With AMOS
Paperback
Check
Structural Equation Modeling With AMOS
Kindle Edition
Check

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Rating
4.7 Filled star Filled star Filled star Filled star Half star
Effort
4 total hours
Via
Udemy
Instructor
Research with Shahed
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Provides a step-by-step guide to CB-SEM and Path Analysis, which are essential for examining complex models in business and social research
Equips learners with the skills to perform complex statistical analyses and interpret results confidently using AMOS and SmartPLS, which are popular tools
Covers data analysis using SPSS, AMOS, and SmartPLS, which are commonly used software packages in statistical analysis, offering a comprehensive approach
Requires IBM AMOS, which is intertwined with SPSS, so learners may need to acquire both software packages to fully utilize the course's content
Focuses on covariance-based SEM (CB-SEM), which is primarily used to confirm theories, so learners interested in exploratory analysis may find it less relevant
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