C226: Research Design and Analysis

C226 Research Design and Analysis is the third course in Western Governors University's graduate education research sequence, moving from a research question to a study design that can answer it.

WGU describes the course as focusing on strategies for effective design of empirical research studies, with emphasis on selecting or constructing the design that will give the most valid results, analyzing the kind of data that would be obtained, and making defensible interpretations and appropriate conclusions.

C225 Research Questions and Literature Review is the prerequisite, and WGU's program guides list C226 at two competency units.

The difficulty is the trade-offs. Classroom research rarely allows a perfect experiment, so the skill is choosing the strongest feasible design and being honest about its limits.

What C226 Covers

Key Concepts Explained

Experimental Versus Quasi-Experimental Designs

True experiments randomly assign participants to groups, which best supports cause-and-effect claims. Schools rarely allow random assignment of students, so quasi-experimental designs compare existing groups, such as two intact classes, and need extra care with pre-existing differences.

Threats to Internal Validity

Common threats include history (outside events), maturation (natural growth), testing effects (practice from a pre-test), selection differences between groups and attrition (participants leaving). Naming the relevant threats and how you would reduce them is a core skill in this course.

Matching Analysis to Data

Comparing two group means suggests a t-test; comparing more than two groups suggests ANOVA; examining relationships suggests correlation or regression. Qualitative data calls for coding and thematic analysis. The design and question should make the analysis choice obvious.

Making Defensible Interpretations

A defensible interpretation says what the data shows, how confident you can be and what it does not show. Statistical significance is not the same as practical importance; a small improvement can be significant with a large sample, and a meaningful one can miss significance with a small class.

Typical Assignments and How to Approach Them

Qualitative Designs

Not every education question needs numbers. Qualitative designs, such as case studies, phenomenology, ethnography and grounded theory, explore experiences, meanings and processes in depth.

Their quality is judged differently. Instead of internal validity, qualitative researchers discuss credibility (do findings reflect participants' views?), transferability (could they apply elsewhere?), dependability and confirmability. Strategies include member checking, triangulating several data sources and keeping an audit trail of decisions.

Mixed-methods designs combine the two, for example test scores to measure change and interviews to explain it. If you choose one, say which strand comes first, how they connect and how you will integrate findings.

Where Students Get Stuck

• Claiming causation from correlation. Only strong designs support causal claims.
• Ignoring group differences. Pre-tests and comparison of baseline data help.
• Choosing analysis before design. Let the question and design decide the analysis.
• Hiding limitations. Honest limits make interpretations more defensible, not less.

Study Tips for C226

• Make a one-page chart linking question types, designs and analyses.
• List validity threats on a card and check each against your design.
• Practice writing conclusions for results that are and are not significant.
• Keep your C225 question and review at hand; C226 builds on them.

How We Help with C226

Send the task instructions, rubric, your research question and any feedback. A research methods tutor prepares a model design and analysis plan, explains each decision, or reviews your draft. See our quantitative research help guide for related support.

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