Science: MAP Growth Science
MAP Growth Science assesses science understanding and inquiry practices across physical science, life science, Earth and space science, and experimental design. It is computer-adaptive: the difficulty of each item depends on previous responses, and scores are reported on the RIT scale, which is designed to track growth over time. Questions commonly use a brief scenario, table, graph, or diagram, so the skill being tested is often evidence interpretation rather than recall alone. The test emphasizes cause-and-effect reasoning, scale, and the limits of evidence.
Core concepts
- Physical science: matter conservation, states and phase changes, energy transfer, forces and motion, balanced versus unbalanced forces, simple circuits.
- Life science: cell structure and function, photosynthesis and respiration, food webs, inherited traits, adaptation, ecosystem interactions.
- Earth and space science: rock cycle, plate boundaries, water cycle, weather versus climate, seasons caused by axial tilt, Moon phases, solar system scale.
- Inquiry practices: independent and dependent variables, constants, comparison groups, observation versus inference, and using models to explain data.
Worked example
A student predicts that more light increases bean-plant height. Group A sits by a window; Group B sits in a dark closet. Both get the same soil, pot size, water volume, and number of seeds. After two weeks, Group A is taller. The independent variable is light exposure; the dependent variable is plant height; constants include soil, water, pot, and seed count. Group B is the comparison condition. The evidence supports the prediction for this setup, but it does not prove that light affects every plant species.
Traps that cost marks
- Calling an inference an observation. "The plant is wilted" is observable; "the plant needs water" is an inference.
- Forgetting constants, so the comparison is unfair.
- Reading a graph's slope as a value or ignoring axis units.
- Treating a single trial as proof; repeats reduce chance effects.
- Confusing weather (short-term) with climate (long-term pattern).