IB Physics IA secondary data requirements

IB Physics IA Source Checker

Physics IA sources should support quantitative physical analysis with clear variables, units, uncertainty, and limitations. Simulations or secondary datasets need provenance and evaluation, not just screenshots.

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AI source auditor

Physics IA source check

Marksy reads the links or source notes you provide, applies the selected IB assessment profile, and only stops for clarification when the score depends on it.

Profile

2Sources

3Clarify

4Score

Selected profile

Physics IA

Source 1Source details

Source rules

What usually works for Physics IA

Usually strong

Student-collected mechanics, waves, electricity, thermal, fields, or modern physics data.
Simulation data when model assumptions, variables, and limitations are transparent.
Official or academic datasets with units, uncertainty, and collection context.

Needs review

Simulation outputs with no explanation of the model or assumptions.
Datasets missing units, calibration, or measurement conditions.
A classic practical repeated exactly without extension.

Avoid or replace

AI-generated numerical tables.
Screenshots of graphs with no raw data or method.
Sources that only teach theory and provide no evidence for analysis.

Examples: strong, risky, weak

Strong

A student-collected oscillation dataset with repeats, uncertainty, and a model fit.

Review

A simulation dataset where assumptions are documented but measurement uncertainty is indirect.

Weak

A revision page about Newton's laws.

Where to find better Physics IA sources

If your current source gets a warning, do not just add more websites. Use searches that match the assessment rule and replace weak evidence with sources that can actually carry analysis.

Search queries to try

IB Physics IA secondary data requirements physics IA simulation data IB Physics IA valid sources Physics IA primary secondary sources Physics IA Student-collected mechanics, waves, electricity, thermal, fields, or modern physics data.

Replacement moves

Replace ai-generated numerical tables. with student-collected mechanics, waves, electricity, thermal, fields, or modern physics data..

Use simulation outputs with no explanation of the model or assumptions. only as context unless your teacher confirms they can carry evidence.

Add one source that gives direct evidence for the IA, not just general background.

Strong places to look

Student-collected mechanics, waves, electricity, thermal, fields, or modern physics data

Simulation data when model assumptions, variables, and limitations are transparent

Official or academic datasets with units, uncertainty, and collection context

Full source-pack rules

Evidence must support analysis

Marksy checks whether the source produces data that can be processed, graphed, modeled, or evaluated.

Uncertainty and limitations must be discussable

Secondary datasets are flagged when measurement quality or source provenance is unclear.

FAQs

Can Marksy guarantee that my Physics IA source is accepted?

No. Marksy flags likely suitability risks from published IB-style requirements and source evidence, but your teacher remains the final authority for your school and session.

What makes a source strong for Physics IA?

A strong source is relevant to the actual task, traceable to a clear publisher or creator, cited accurately, and matches the component's source expectations. For this checker, the best fit is usually quantitative data with units, uncertainty, and model limitations.

Can I use AI-generated material as a source?

AI-generated material should be treated as a tool output, not an authoritative source. If you use it, acknowledge it and verify claims through traceable primary, academic, official, or published sources.