Requirements
- No formal requirements or pre-requisites for this course.
- Understanding of research methods is helpful to grasping course material.
- Knowledge of high school/pre-college level algebra level is assumed.
- Microsoft Excel installed; knowledge of Excel
- Required Textbook
Features
- 12 on-demand lectures
- Graded application project
- Optional Discussion Questions
- Optional Problem Sets
- Instructor Guidance
- Lifetime Access - return to the course at anytime, access updates, discussions, and resources
- Digital Badge awarded upon completion
Target audiences
- Applied researchers
- Scholar-practitioners
- Data analysts
- Those working in assessment or evaluation
- Administrators
Six-week, asynchronous course on the foundations of quantitative analysis for international educators
Self-paced online course. Learn the foundations of applied quantitative analysis for international education from the author of the Springer book. Join anytime, anywhere. Earn a micro-credential.
Instructor: Dr. Melissa Whatley (Assistant Professor of International and Global Education, SIT Graduate Institute, melissa.whatley@sit.edu)
The purpose of this six-week course in applied quantitative analysis in international education is to provide participants with foundational concepts that can be used to address a variety of topics and questions in international education. The intended audience of this course is the applied researcher, including and especially scholar-practitioners, who often need quantitative analysis to answer key questions for their own practice using institutional or unit-level data. This course assumes no prior knowledge of statistics or quantitative analysis and uses Excel for all practical applications.
Learning Outcomes:
- Participants will be able to use foundational vocabulary used to describe quantitative data, with particular reference to international education.
- Participants will be able to use descriptive statistics, both measures of central tendency and measures of variability, to summarize variables, particularly variables that are common in international education data.
- Participants will be able to describe and conduct common tests for statistical significance that are useful in international education, including t-tests, one-way ANOVA, chi-square tests, and correlation.
- Participants will be able to apply the basic building blocks of quantitative analysis to an international education dataset of their choice.
This course includes:
- 38 lessons featuring:
- 12 on-demand lectures
- 1 graded application project
- Optional problem sets
- Optional discussion questions/problems – solve problems with fellow students
- Instructor support
- Lifetime access – return to the material at any time, access course updates, discussions, and resources
Required Textbook:
Whatley, M. (2022). Introduction to Quantitative Analysis for International Educators. Springer.
Available to purchase via Springer Publishing, Amazon, or check your library for access.
Additional readings are linked in the course schedule below and are available through open-access journals.
Time to Completion: This course is designed so that it can be completed within six weeks (or about 20-25 hours in total) including homework and readings. However, given the asynchronous nature of this course, completion in more or less time is possible, depending on the participant’s preference.
Syllabus: Six Week Course Syllabus.docx
Instructor Support: Prof. Whatley is available for help and questions. Please allow time for a response. Email at melissa.whatley@sit.edu
Course Preview: Watch the course introduction, below, for an overview of the course.
Digital Badge:
Successful completion of all course lessons leads to a Digital Badge in Applied Quantitative Analysis in International Education. Created in partnership with Hyperstack Credential Cloud, the Applied Quantitative Analysis in International Education Digital Badge can be uploaded to digital resumes, social media, and portfolios.
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