Vocab_Pre_WSC

<p>This dataset contains vocabulary pretest data for 2,200 Amazon Mechanical Turk workers.
The test consists of 24 items that ask participants to match words with their definitions.</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_Pre_WSC function

<p>Vocab_Pre_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_Pre_WSC: Vocabulary Pre-test Dataset

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