Why over 3 schools

 

Enhancing Robustness through Multi-Site Qualitative Sampling

To strengthen the credibility, depth, and transferability of the qualitative findings, the research will include three different primary schools during the focus group and pilot intervention phases. This multi-site design enhances the robustness of the study in several key ways:

1. Capturing Contextual Variation

Each school represents a unique institutional and socio-cultural context—varying perhaps in terms of demographics, school ethos, leadership priorities, or technological infrastructure. By including three schools, the study is better positioned to account for how local contexts shape curriculum decision-making and pedagogical enactment.

✅ Benefit: Increases ecological validity and ensures that findings are not limited to the idiosyncrasies of a single setting (Stake, 2006; Yin, 2018).


2. Triangulating Qualitative Data Across Sites

By conducting focus groups and pilot interventions in three schools, the research introduces an opportunity for within-method triangulation—cross-checking themes and insights across cases (Denzin, 1978). This strengthens the confirmability and dependability of qualitative results by demonstrating consistency—or identifying meaningful divergence—across different institutional contexts.

✅ Benefit: Enhances the trustworthiness of the findings (Lincoln & Guba, 1985), supporting claims that emerging themes are not site-specific anomalies.


3. Supporting Theoretical Transferability

Qualitative research does not aim for statistical generalisation but seeks theoretical or analytical generalisability—the extent to which findings can inform broader understandings or models. Drawing on three varied sites supports the development of thicker descriptions (Geertz, 1973), which in turn allows readers and practitioners to determine the relevance of the findings to their own contexts.

✅ Benefit: Increases transferability by offering nuanced, multi-site data that speaks to different types of schools or learning environments.


4. Enhancing Validity Through Participant Diversity

Involving teachers and pupils from three schools introduces diversity of voice across the qualitative phases. This allows for comparison and contrast in perspectives and experiences, helping to uncover patterns that may be more broadly relevant, and to identify outlier or marginal views that enrich the overall analysis.

✅ Benefit: Offers a more inclusive and representative account of the phenomena under study.


5. Design Alignment and Methodological Cohesion

Including three schools also aligns methodologically with the QUAN → QUAL → QUAL mixed methods design. The initial survey phase may reveal regional or contextual differences in teacher knowledge and confidence. The inclusion of three schools in subsequent qualitative phases enables the researcher to strategically sample schools that reflect relevant variation (e.g., high vs. low confidence; urban vs. rural; high vs. low digital provision).

✅ Benefit: Strengthens the coherence and integrity of the research design by building logical links between sampling strategy and the sequential flow of inquiry (Teddlie & Yu, 2007).


Conclusion

In summary, selecting three distinct schools for the qualitative components contributes significantly to the rigour and robustness of the research. It promotes contextual sensitivity, enhances trustworthiness through triangulation, and increases the applicability of findings to diverse educational settings. This approach is particularly important when exploring an emergent topic like digital accessibility, where the aim is not only to understand but also to inform scalable and context-responsive pedagogical practice.


Suggested References

  • Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods (2nd ed.). McGraw-Hill.

  • Geertz, C. (1973). The Interpretation of Cultures. Basic Books.

  • Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. Sage Publications.

  • Stake, R. E. (2006). Multiple Case Study Analysis. Guilford Press.

  • Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples. Journal of Mixed Methods Research, 1(1), 77–100.

  • Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage Publications.

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