USING ASSESSMENT FOR LEARNING TO ENHANCE NUMERACY INSTRUCTION
Numeracy Error Analysis

Kenya, 2024 - 2025

Reference ID

KEN-ZAF-NEA-2024-V01

Producer(s)

Virginia Ngindiru

Metadata

DDI/XML JSON

Created on

Oct 21, 2025

Last modified

Oct 21, 2025

Page views

Subtraction task 1 error category (subt1errcat)

Data file: error_analysis_baseline_endline_anonymized

Overview

Valid: 972

Invalid: 4

Type: Discrete

Decimal: 0

Width: 16

Range: 0 - 3

Format: Numeric

Questions and instructions

Literal question

Subtraction task 1 error category

Categories

Value	Category	Cases
0	Correct	426	43.8%
1	Factual error	487	50.1%
2	Procedural error	34	3.5%
3	Conceptual error	25	2.6%
Sysmiss		4

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

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