IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced

🌟 **IBM SPSS AMOS Foundation Course: Master Structural Equation Modelling (SEM) from Scratch!** 🌟 --- ### Course Headline: **Unlock the Mysteries of Research with IBM SPSS AMOS – Your Gateway to SEM and Path Analysis Mastery!** --- ### Course Description: If you are looking to test a complex structural model, you already know the importance of **AMOS**. As a powerful and one of the most popular tools for **Structural Equation Modelling (SEM)**, AMOS is an essential skill for any serious researcher. SEM is becoming increasingly ubiquitous in research across various disciplines, with a vast majority of researchers leveraging its robust capabilities to understand complex relationships and causal structures. As a seasoned researcher with publications like: - **Sanjay Singh & Yogita Aggarwal (2017).** "Happiness at Work Scale: Construction and psychometric validation of a measure using mixed method approach." *Journal of Happiness Studies*. [Link](https://link.springer.com/10.1007/s10902-017-9882-x) - **Sanjay Singh & Yogita Aggarwal (2017).** "Antecedents and consequences of work significance in Indian organizations." *Journal Management, Spirituality and Religion*. [Link](https://www.tandfonline.com/doi/abs/10.1080/14766086.2017.1320580) I am thrilled to guide you through the intricacies of SEM using AMOS, starting from the basics and progressing to advanced concepts. This course is designed to take you from a beginner to an expert in **SEM**, **Path Analysis**, and **Confirmatory Analysis**. ### What You Will Learn: - 🚀 **From Scratch**: We will start with the fundamental concepts of SEM and build up to more complex models. - 💻 **AMOS Mastery**: Learn how to use AMOS software for confirmatory validation, which is crucial for research and high-impact publishing. - 📊 **Model Building & Testing**: Specify, estimate, assess, and present your models to demonstrate the relationships between variables accurately and efficiently. - 🧠 **Complex Models**: Handle complex models with ease using AMOS, which is more efficient than standard multivariate statistics techniques. - 📈 **Real-World Applications**: Apply SEM in various research contexts to solve real-world problems and test your hypotheses. ### Course Features: - **Responsive Support**: I am highly responsive to any questions you may have during the course. Just drop a message, and I'll be there to help! - **Refund Guarantee**: Your satisfaction is my top priority. If you're not completely satisfied with the course within 30 days of purchase, you can take a full refund – no questions asked! ### Student Testimonials: - "Really Excellent in Explaining the topics each and every point step by step and I like his way of teaching approach.. I feel, it's very easy to understand the SPSS Tool in this way.. Thank You so much Dr. Sanjay Singh!" - "Very well organized and easy to understand." - "its a must have course on SPSS. Excellent job by instructors! Trainer is very helpful n units are very well organized. Looking for more and more stuff from the trainer." ### Sign Up Now! Don't miss out on this opportunity to elevate your research capabilities with **IBM SPSS AMOS**. Whether you're a beginner or looking to sharpen your SEM skills, this course is designed to meet your needs. Enroll today and embark on your journey to becoming an expert in structural equation modelling! --- **Enroll Now and Transform Your Research with IBM SPSS AMOS! 🎓**

👩‍🏫 **Global Course Rating:** 4.38 The **overall sentiment** among recent reviewers is **positive**, with many finding the course **comprehensive**, **research oriented**, and **helpful** for understanding Structural Equation Modeling (SEM) using AMOS software. The **instructional approach** is praised for its **hands-on** method and **easy to follow** explanations. However, some reviewers suggest that the course could benefit from a **deeper dive into the mathematical underpinnings** of SEM and more real-world examples or advanced content. **Pros:** - **Ease of Understanding:** The course is well-structured, making complex concepts understandable for beginners. - **Comprehensive Coverage:** It covers everything from basic to advanced aspects of AMOS and SEM. - **Research Oriented:** APA style is covered, which is essential for researchers. - **Supportive Instructor:** Dr Sanjay Singh is commended for being supportive and knowledgeable. - **Affordability:** Offers valuable learning at an accessible price point. - **Practical Application:** Real data analysis examples are used, allowing learners to apply what they've learned directly to their own research. **Cons:** - **Mathematical Detail:** Some reviewers feel the course lacks a detailed exploration of the mathematical principles underlying SEM. - **Mechanical Presentation:** A few suggest the teaching style could be more engaging, perhaps by telling a story or using applied examples to illustrate concepts. - **SPSS Integration:** Clarification on how to integrate data sets in AMOS SPSS would be beneficial for users unfamiliar with the software. - **Pacing and Content Distribution:** Some reviewers believe the course spends too much time on elementary materials and should speed up to cover more advanced content, especially for those who are already familiar with basic concepts. **Notable Mentions:** - **Personalization of Data Sets:** A suggestion for future improvements is to provide a personalitynonmissing file for practice purposes. - **Satisfactory Content:** The course is deemed satisfactory by some learners who appreciate its comprehensive nature. - **Real-Life Applications:** It's suggested that the course could improve by showing how SEM works in real-life scenarios, especially for those with prior knowledge of AMOS. **Testimonials:** Vindhya Nettikumara, a final year PhD candidate from Australia, shares her experience: "This course has been exactly what I have been looking for - a well structured course which gradually proceeds from the basics for much advanced concepts. The explanation on how to report findings in journal standard was great! Thank you so much Dr. Sanjay Singh for the well-structured content, clear and thorough explanations, and precise videos." In conclusion, the course is **highly recommended** for both beginners and those with prior knowledge of AMOS looking to deepen their understanding of SEM. It is a valuable resource for researchers seeking to apply these methods in their work.