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Read about courses in a range of fields at a variety of institutions where students have learned TIER-like methods of reproducible research. Course syllabi, exercises, project instructions and other course documents are available for download.

Advanced Quantitative Data Analysis for Health Care Research II

George Mason University
public health graduate SAS
Global and Community Health 805, Fall 2017
Instructor: Jenna Krall

This is a second year Master of Public Health elective in statistics. Students are already famili...

Advanced Quantitative Data Analysis for Health Care Research II

George Mason University

Global and Community Health 805, Fall 2017
Instructor: Jenna Krall

This is a second year Master of Public Health elective in statistics. Students are already familiar with regression modeling, and spend this course applying statistical methods. The course aims to introduce some advanced topics (e.g. longitudinal data analysis and survival analysis), while giving students hands-on data analysis experience. This course involves a semester-long data analysis project that uses the Project TIER protocol. The students have previously applied statistical methods in the classroom, but have not seen a data analysis project from start to finish, e.g. identifying the dataset through writing up the final project.

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Quantitative Methods of Social Research

Willamette University
sociology undergraduate SAS
Sociology 401, Spring 2017
Instructor: Michael Niño

In this course students will apply theory and methodological skills learned in previous course wo...

Quantitative Methods of Social Research

Willamette University

Sociology 401, Spring 2017
Instructor: Michael Niño

In this course students will apply theory and methodological skills learned in previous course work to their own original quantitative research project. The objective of this course is to train sociology majors to plan and carryout research using: systematic procedures; quantitative data collection methods, strategies, and instruments used in the social sciences (and sociology, in particular); and quantitative data analysis and modeling techniques. Students will learn the core elements of the research process: the scientific method; variables, relationships, and hypotheses; definition and measurement of variables; data validity and reliability; determination of where data will come from (sampling); and issues related to ethics, perspectives, and strategic approaches to social science research, among others. The course will start with a recap of fundamental elements of quantitative methods. Students will then review contemporary sociological research to gain a better understanding of the structure of empirical papers and the art of writing. The course will then shift to an overview of various techniques for analyzing and interpreting quantitative data, and data management using SAS. This course is designed to fulfill the Willamette University writing-centered course designation. Toward this end, students will engage in regular writing, peer-review, and revising exercises.

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