Research

The Architecture of Evidence: Research Design and Methods for Graduate Study

A meaningful question deserves an equally thoughtful design — because in research, the quality of the answer is decided long before the first piece of data arrives.

A master's passage through the craft of designing evidence — from the blueprint logic that aligns question, design, data, and analysis into one straight line, through the listening of qualitative work, the counting of quantitative work, and the two-eyed vision of mixed methods, to the honest choosing of samples, the instruments of attention, the twin tests of reliability and validity, the discipline of analysis and statistical thinking, the naming of patterns in human words, and the software that serves but never thinks — closing, as a methods course must, in the writing of a method another researcher could trust, repeat, and believe.

Course Overview

RES 422 is the second master's-level course in the University's Research Series — an eight-lesson course in designing rigorous graduate research. It moves through four modules: from the logic of research design and the qualitative, quantitative, and mixed traditions, through sampling, data collection, and the twin tests of reliability and validity, to the principles of honest analysis, statistical thinking without formulas, qualitative coding, and the responsible use of research software and AI — closing with the writing of methodology and results chapters and a capstone practicum in which you design a complete, defensible study of your own. Where RES 421 taught you to question the evidence of others, RES 422 teaches you to design evidence worth believing.

8
Lessons
Comprehensive modules
21
Quizzes
Test your knowledge
10
Assignments
Practical work
6
Credits
Academic credits
Course Identifier
RES 422
Department
Research
Effort Required
5–7 hours per week
Length
8 lessons across 4 modules
Prerequisites
A bachelor's degree and graduate-level critical thinking training (RES 421 or equivalent recommended)

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Your Academic Journey
Course
1 Course
Master
8 Courses
PhD
Research

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