Vocab_Post_WSC

<p>This dataset contains vocabulary posttest for the 2,200 Amazon Mechanical Turk workers.
This test consists of 24 items that ask participants to match words with their definitions.
Twelve of the fifty words presented during the vocabulary
study session also appeared on the 24-item vocabulary posttest.</p>

datasets

This dataset was collected using a new four-arm within-study comparison design. The study aimed to examine the impact of a mathematics training intervention and a vocabulary study session on post-test scores in mathematics and vocabulary, respectively. The innovative four-arm within-study comparison design facilitates both experimental and quasi-experimental identification of average causal effects.

Jingru Zhang

WSCdata

A New Four-Arm Within-Study Comparison Data on Math and
Vocabulary Training

Bryan Keller

Sangbaek Park

Vocab_Post_WSC function

<p>Vocab_Post_WSC is a data frame with 2200 cases (rows) and 24 variables (columns).
The variables are named item_1, item_2, ... , item_24.</p>

Vocab_Post_WSC: Vocabulary Post-test Dataset

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