Biology by Bradford
The IA, rubric-first.
Choosing and refining a research question that won't fight the rubric: plus the data-processing moves the markers actually reward.
RQ shaping & data processing.
The IA lives and dies on two things: a research question narrow enough to control, and a data section that shows the processing the criteria ask for. This folder collects the scaffolds I use for both.
- Research-question shapes that map cleanly onto the assessment criteria
- Variables, controls, and a method checklist before you run anything
- Worked data processing: uncertainties, error bars, and when a statistic actually helps
- Presentation that survives moderation: tables, graphs, and evaluation prompts
How to use: open the folder, copy what fits your students, and remix. Pairs well with the guided labs (for method and data skills) and the MCQ quizzes for the theory underneath.
The IA stats toolkit.
Where students actually get stuck: building a table that survives moderation, and picking (then running) the right test. Build the table, plot it with error bars, get routed to the right test by a 3-question chooser, then run a t-test, chi-squared, Spearman's rank, or ANOVA with Tukey HSD, formula and worked example included.
- Data table builder with live mean/SD and a clean, IA-ready export
- Bar, line, or scatter visualiser with error bars and a trendline
- “Which test do I need?” decision flow
- t-test, chi-squared, Spearman's rank, and ANOVA + Tukey HSD calculators