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Bachelor's · Chapter 33 · English

Chapter 33 — Research methods II

Open, free learning for anyone who wants to protect people and technology. No account is required to read this text or its worked answers.

Chapter 33 — Research methods II

Lesson map

Lesson 33 published. Map, example, EX097.

flowchart TD
  N0["Learning outcomes"]
  N1["33.1 Analysing interviews"]
  N2["33.2 Combining evidence"]
  N3["33.3 Recommendations"]
  N4["Synthesis"]
  N0 --> N1 --> N2 --> N3 --> N4
  N4 --> EX["Worked example"]
  EX --> Q["Exercise EX097"]

Logical drawing

flowchart LR
  N0["Learning outcomes"]
  N1["33.1 Analysing interviews"]
  N2["33.2 Combining evidence"]
  N3["33.3 Recommendations"]
  N4["Synthesis"]
  N0 --> N1 --> N2 --> N3 --> N4 --> Q["EX097"]

[Learning outcomes]
    |
    v
[33.1 Analysing interviews]
    |
    v
[33.2 Combining evidence]
    |
    v
[33.3 Recommendations]
    |
    v
[Synthesis]
    |
    v
[Worked example] --> [Exercise EX097]

Learning outcomes

You will (1) analyse qualitative interview data; (2) combine qualitative and quantitative evidence; (3) report findings with limits.

33.1 Analysing interviews

Elena conducts the ten teacher interviews planned in Chapter 18. She transcribes them, removes any names and codes recurring reasons for adopting apps without checks. Four themes emerge: time pressure, trust in popularity, lack of knowledge about the vetting process and belief that free apps are harmless. She counts how many teachers mention each theme and keeps illustrative quotations without identifying details. Time pressure is mentioned most often, usually when a teacher starts a new topic at short notice. Coding is checked twice.

33.2 Combining evidence

Elena compares themes with the app register. Teachers who mentioned not knowing the process taught in schools with the most unapproved apps. The combination of qualitative and quantitative evidence strengthens her interpretation: lack of awareness, not resistance, drives most unchecked adoption. She notes that mixed methods allow each source to check the other and give a fuller picture than either alone. Interview themes match the register's gaps. The register shows many unvetted apps in exactly the subjects where teachers described the heaviest time pressure, so the two sources agree.

33.3 Recommendations

Based on findings, Elena recommends a two-minute guide to vetting in staff induction, an approved app catalogue on the intranet and a fast-track review for requested apps within five school days. She links each recommendation to a theme. She also recommends explaining why free apps may cost children their data, addressing the fourth theme directly with examples from the vetting scores. Faster vetting comes first, with a target of five days for simple apps. Clear contact details for the vetting team follow.

33.4 Limits

Elena reports limits: ten teachers, possible desire to please, and her placement role. Two interviews conducted by a colleague produced similar themes, which offers some reassurance. She avoids claiming the findings apply to all schools. Dr. Asante praises the clear link from evidence to recommendations and the honest limits, noting that small studies are useful when they inform specific decisions. Ten interviews from one trust cannot represent all teachers, but they explain this trust's patterns well enough to guide its next steps.

Worked example

Elena finds four themes (time pressure, popularity, unawareness, free means harmless), links unawareness to unapproved apps in the register and recommends induction guidance, a catalogue and fast-track reviews.

Synthetic case. Interviews and themes are synthetic.

Errors and limits

Theme counts depend on coding; a second coder improves reliability.

Exercises

Synthesis

Chapter 33 analyses evidence. Chapter 34 runs a comparative project.

Continue studying — chapter 33 of 40

← Chapter 32 (draft) · Course chapter index · Chapter 34 (draft) →