Improving Student Outcomes through Adaptive Learning Platforms: Experimental Evidence from the Dominican Republic 2023-2024
Baseline, Midline, and Endline Surveys

Dominican Republic, 2023 - 2024

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Reference ID

DOM_2023-2024_CALIE_v01_M

DOI

https://doi.org/10.48529/xycv-m391

Producer(s)

Carolina Lopez, Astrid Pineda

Collection(s)

Development Research Microdata

Metadata

DDI/XML JSON

Created on

Jul 15, 2026

Last modified

Jul 15, 2026

Page views

44243

Downloads

200

Belief: Engineering carrers are not appropiate for girls (qstm_2_1_2)

Data file: CAL_DR_Data_deposit

Overview

Valid: 1217

Invalid: 116

Minimum: 1

Maximum: 5

Mean: 2.1857025472473

Standard deviation: 1.2572262259274

Type: Discrete

Width: 40

Range: -

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Totalmente en desacuerdo	491	36.8%
2	En desacuerdo	306	23%
3	Ni de acuerdo ni en desacuerdo	204	15.3%
4	De acuerdo	135	10.1%
5	Totalmente de acuerdo	81	6.1%
Sysmiss		116	8.7%

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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