Notes on Research Designs: Writing Centers, Correlation, and Nomothetic Explanations

Understanding the Topic: Writing Centers on University Campuses
  • Broad research goal: determine if writing centers are valuable for students' learning and skills.

  • Context: on-campus resources, writing support part of the options.

Research Questions and Explanatory Goals
  • The transcript discusses seeking explanations such as relationships, correlations, or nomothetic (causal) claims.

  • Terms to distinguish:

    • Relationship: a connection between variables (e.g., visits to writing center and grades).

    • Correlation: statistical association where two things tend to move together; not proof of causation.

    • Nomothetic explanation: a universal, principled claim that XX causes YY.

  • Order of checks: Establish relationship, then correlation, then rule out confounds before claiming a nomothetic principle.

Correlation and Relationship
  • Correlation question: Is there a relationship between the two things?

  • Example: student accesses writing center, then gets a higher grade.

  • Caution: Observed association could be coincidental or due to other factors; correlation alone is not causation.

The Problem of Causation and Confounding Variables
  • Critical caveat: A third variable might cause both visiting the center and higher grades, driving the observed relationship.

  • To establish a causal claim (XX causes YY), rule out other explanations and confounding variables.

Nomothetic Explanation and Principle Claims
  • Nomothetic explanation: Stating a principle (e.g., visiting the center will lead to higher grades) that goes beyond specific data.

  • Requires proper support, including establishing correlation and ruling out confounds, before making such a blanket causal claim.

The Three Checks and Their Implications for Research Design
  • Conditions before asserting a principle:

    1. Existence of a clear relationship.

    2. Evidence of a correlation.

    3. A nomothetic or causal claim (supported by ruling out confounds).

  • Practical implication: Research design should differentiate between correlation and causation and be clear about the level of claim.

Key Takeaways for Reading This Transcript
  • Distinguish between correlation, relationship, and causal (nomothetic) claims.

  • Recognize the role of potential confounding variables