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

Sex (B/G) (sex)

Data file: error_analysis_baseline_endline_anonymized

Overview

Valid: 976

Invalid: 0

Type: Discrete

Decimal: 0

Width: 10

Range: 0 - 1

Format: Numeric

Questions and instructions

Literal question

Learner's sex

Categories

Value	Category	Cases
0	Girls	515	52.8%
1	Boys	461	47.2%

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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