Math_Post_WSC

<p>This dataset contains mathematics posttest data prepared by the authors (Keller et al., 2022), collected from
the 2,200 Amazon Mechanical Turk workers,
This test consists of 15 items: five assessing general mathematics aptitude
and ten focused on properties of exponents.</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

Math_Post_WSC function

<p>Math_Post_WSC is a data frame with 2200 cases (rows) and 15 variables (columns).
The variables are named item_1, item_2, ... , item_15.</p>

Math_Post_WSC: Math Post-test Dataset

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