Math_Pre_WSC

<p>This dataset contains mathematics pretest data prepared by the authors (Keller et al., 2022), collected from
2,200 Amazon Mechanical Turk workers.
The test draws on a combination of self-written items and items from the ETS Kit of Factor-Referenced
Cognitive Tests.
It consists of 12 items: seven assessing general mathematics aptitude,
and five focusing on simplifying algebraic expressions involving 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_Pre_WSC function

<p>Math_Pre_WSC is a data frame with 2200 cases (rows) and 12 variables (columns).
The variables are named item_1, item_2, ... , item_12.</p>

Math_Pre_WSC: Math Pre-test Dataset

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