Data Analysis

Element · All elements
Evidence · no claims cited

Description

Data analysis is the element in which learners inspect, interpret, organize, or transform data in order to answer questions, identify patterns, or justify conclusions. It is useful when evidence comes in quantitative, qualitative, or observational form.

Design Implications

Context

Requirements

• A question that data can illuminate
• Relevant data and tools for interpretation

Constraints

• Learners may describe data patterns without connecting them to claims

Target Learning Goals

• Improve interpretation of evidence and support justified conclusions from data.

Affordances

• Epistemic Cognition
• Inquiry-Based Learning

Claims

Related Elements

• Research
• Scientific Reasoning
• Justification

Patterns That Use This Element

• Research-Based Learning
• MEL Reasoning Pattern

Examples

• Learners interpret a data set to evaluate an explanatory model.

Key Sources

• Wild, C. J., & Pfannkuch, M. (1999). Statistical thinking in empirical enquiry. International Statistical Review, 67(3), 223-248. https://doi.org/10.1111/j.1751-5823.1999.tb00442.x

Page metadata

Field	Value
type	element
id	data-analysis
title	Data Analysis
description	Data analysis is the element in which learners inspect, interpret, organize, or transform data in order to answer questions, identify patterns, or justify conclusions.
status	review
canonical	True
generated	by codex/unspecified on 2026-04-08
trust	unverified — no one has confirmed this page's content
sources	1 — wild-1999

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