| 開課班級Class： | 授課教師Teacher： | 學分數Credits： |
| 碩熱農一A | 廖世義 | 3 |
| 課程大綱Course Description： |
| In this engaging course, students will not only master advanced skills in quantitative research but also immerse themselves in the dynamic world of statistical analysis software, including SPSS, AMOS, Smart-PLS, and more. Through exciting mid-term and final sharing sessions, each student will gain profound insights into the realms of agricultural economics, finance, business management, marketing, and animal husbandry, exploring real-world applications that bring theories to life. |
| English Outline： |
| Topics in this course include an introduction to the basic concepts of linear structure, explanation of model fit indicators, path analysis, confirmatory factor analysis, shoe-pull procedure and model validity verification. Additionally, there is a discussion of various intermediary and interference models and their mixed models, group comparison of group models, and a discussion of Bayesian analysis, all utilized as practical exercises through the application of SPSS, AMOS, and Smart PLS. Cross-level research topics are derived from nested data structures and theoretical models to the setting of hierarchical linear models (HLM) and context models, and the application of longitudinal research development and related research topics are discussed to achieve the teaching objectives of this course, helping students understand the concepts and practical applications of advanced quantitative research methods in recent years. |
| 本科目教學目標Course Objectives： |
| The main purpose of this course is to help students understand and be able to construct structural equation models and multi-level models for their research. Additionally, the course aims to enhance comprehension of practical applications related to these models, enabling learners to understand and review research papers in the field. The teaching goals will be accomplished through the clarification of theoretical concepts, practical applications, and relevant issues. - The theory and application of linear structure (Path Analysis & Regression Analysis) - Mediation model and effect (Similarities & Moderation Analysis / Path model) - Multiple Mediation model and effect (Multiple Mediation / Various mediation models) - Parallel mediation & Sequential mediation - Moderation Model and Effect - Introduction to Confirmatory Factor Analysis (EFA & CFA) - Understand and be able to critique published SEM articles and research - Conduct their SEM analysis with confidence - Formulate, evaluate, and specify SEM model |
| 教學型態Teaching Models： | 成績考核方式Grading： |
| 課堂教學+遠距輔助教學(同步、非同步) | 平時成績General Performance：30% 期中考Midterm Exam：30% 期末考Final exam：30% 其它 Other：Attendance 10% |
| 參考書目Textbooks/References： |
| A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Introduction to Statistical Mediation Analysis Introduction to Mediation, Moderation, and Conditional Process Analysis Structural Equation Modeling With AMOS Partial Least Squares: Regression and Structural Equation Models |
| SDGs指標： |
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| 課程匯入時間Import Time：2024-01-23 08:13:52 |
| 最後更新時間Last Modified：2024-01-23 15:09:26，更新人modified by：廖世義 |