教育統計學

臺北科技大學 114-2 學期課程，課號 356410。

課程大綱

This is a course designed to provide an introduction to the principles and methods of statistics using R. The overall goal of the course is to provide graduate students with a foundation for quantitative data analysis that will allow them to build future skills. This course provides an applied approach to statistical analysis for research. Topics include an introduction to univariate and bivariate distributions, data displays, descriptive statistics, the standard normal distribution, student’s t distribution, inferential statistical methods for testing means, correlation, simple/multiple linear regression, and mediation. This course also introduces the student to the R data analysis system. No formal course prerequisites.

課程進度

01: Course Introduction 02: Review: Research Methods [Descriptive] 03: Independent Research: Analyzing Data: Descriptives & Going Beyond (Self-Study) 04: The Concept of Statistical Modeling 05: Making Inferences about Populations 06: Testing Research Questions 07: Data Displays & Graphs 08: Statistical Assumptions and Bias 09: Mid-term [Relational] 10: Relations Between Variables (bivariate correlation) 11: Predictions (simple linear regression & multiple linear regression) 12: Simple Mediation Model 13: Parallel Multiple Mediator Model 14: Parallel Multiple Mediator Model with Multiple Causal Antecedents 15: Parallel Multiple Mediator Model with Multiple Causal Antecedents and Consequent Variables [Experimental] 16: Mean Comparisons: t-test (independent and paired) 17: General Linear Model: ANOVA & ANCOVA 18: Final

評量方式

Attendance: 20% Mid-term exam: 40% Final: 40%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Field, A., Miles, J., & Field, Z. (2013). Discovering statistics using R. Sage. Navarro, D. (2019). Learning statistics with R: A tutorial for psychology students and other beginners. (https://learningstatisticswithr.com/book/index.html).