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Copy file name to clipboardExpand all lines: pages/guide/verification_validation/quality_assurance.qmd
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@@ -232,3 +232,61 @@ Key resources to check out when planning your quality assurance:
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* The [Quality assurance of code for analysis and research](https://best-practice-and-impact.github.io/qa-of-code-guidance/intro.html) book from the Government Analysis Function.
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*[Facets of trust in simulation studies](https://doi.org/10.1016/j.ejor.2020.06.043) - a framework for thinking about different dimensions of trust in simulation work and how they evolve over a study’s lifecycle.
## Which statement best describes quality assurance (QA) in analytical projects?
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```{r}
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#| output: asis
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#| echo: false
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cat(longmcq(c(
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"A one-off final check of results before publication.",
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"A process limited to testing code for bugs.",
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answer = paste0(
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"A formal, systematic process of planning checks, carrying them out, and ",
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"keeping evidence."
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)
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)))
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```
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:::
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::: {.callout-note}
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## Which option best captures the relationship between QA, verification, and validation as described on the page?
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```{r}
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#| output: asis
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#| echo: false
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cat(longmcq(c(
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"QA and verification are the same; validation is separate.",
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answer = "Verification and validation are specific checks within QA.",
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"Validation replaces QA in higher‑risk projects."
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)))
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```
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:::
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### Activity
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Reflect on how you might apply quality assurance to the simulation model you have been developing, or to another recent piece of analytical work. At a minimum, write down:
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* The decision the work is intended to inform.
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* Who could act as commissioner, analyst, assurer, and approver (even if some roles are combined).
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* A few QA activities you could realistically do when (a) scoping, (b) design, (c) analysis, and (d) delivery.
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You could also have a go creating a **GitHub Project**, adding some QA items as issues. You could then treat open items as your QA plan and closed items as your QA log.
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