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External Validity

research-methodology

External validity is the degree to which research findings can be generalised beyond the specific participants, settings, and conditions of the study. A study with high external validity produces results that hold across different populations, contexts, and times.

Types

TypeQuestionSLA example
Population validityDo findings apply to other learners?Do results from university ESL students generalise to young EFL learners?
Ecological validityDo findings apply in other settings?Do lab results on Corrective Feedback hold in real classrooms? (See Ecological Validity)
Temporal validityDo findings hold at other times?Would a 1990s study on grammar instruction replicate in a 2020s communicative curriculum?
Treatment variationDo findings hold with different implementations?Does the effect of Focus on Form depend on the specific tasks used?

The Tension with Internal Validity

Internal Validity and external validity often pull in opposite directions:

  • Tight control (lab settings, homogeneous samples, standardised procedures) → high internal validity, low external validity
  • Real-world conditions (diverse classrooms, varied teachers, natural constraints) → high ecological validity, weaker internal validity

No single study can maximise both. This is why Replication across contexts and meta-analysis across studies matter — they build external validity cumulatively.

Threats to External Validity

  • Narrow sampling — most SLA research samples university students in Western contexts; generalisability to other populations is limited
  • Volunteer bias — participants who volunteer may be more motivated
  • Artificial settings — laboratory conditions do not represent classroom reality
  • Treatment-setting interaction — a treatment that works in a resource-rich setting may fail elsewhere
  • Pre-test sensitisation — pre-testing may prime participants, making results non-generalisable to unpretested populations (see Pre-test Post-test Design)

Enhancing External Validity

  • Conducting research in authentic classroom settings (Classroom-based Research)
  • Sampling diverse populations (different L1s, ages, proficiency levels, instructional contexts)
  • Replication across multiple sites and conditions
  • Meta-analyses synthesising findings across varied studies
  • Transparent reporting of participant characteristics and setting details

Key References

  • Campbell & Stanley (1963) — internal vs external validity taxonomy
  • Shadish, Cook & Campbell (2002) — updated validity framework
  • Plonsky (2013) — sampling and generalisability in SLA research

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