Structural Equation Modeling & Path Analysis using IBM AMOS
Free Download Structural Equation Modeling & Path Analysis using IBM AMOS
Published 9/2024
Created by Research with Shahed
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lectures ( 1h 55m ) | Size: 985 MB
Master Covariance Based Structural Equation Modeling (CB-SEM) and Path Analysis using IBM AMOS and SmartPLS 4
What you'll learn:
To introduce the basic concepts related to Multivariate Analysis and CB-SEM.
To illustrate the basic applications of CB-SEM in Research using AMOS and SmartPLS.
To illustrate the procedure for preparing and creating data file using SPSS.
To provide hands on training of applying CB-SEM using valid data set and reporting results.
Requirements:
Basic knowledge of statistics and data analysis.
Familiarity with concepts like correlation, regression, and hypothesis testing.
Description:
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 IBM SPSS AMOS. 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 IBM AMOS and SmartPLS 4. 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 IBM AMOS to gain a competitive edge in academic research.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 RegardsShahedul HasanResearch 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.
Who this course is for:
Researchers and academics in social sciences, psychology, education, and business.
Data analysts and statisticians looking to expand their skills.
Graduate students seeking to enhance their research methodology.
Anyone interested in learning CB-SEM and Path Analysis using IBM AMOS and SmartPLS.
Homepage
https://www.udemy.com/course/structural-equation-modeling-path-analysis-using-ibm-amos/No Password - Links are Interchangeable
