This dataset contains measurements of confidence in understanding and in the ability to simplify algebraic expressions involving exponents. The 5-point Likert-type items were developed by Keller et al. (2022) and administered to 2,200 Amazon Mechanical Turk workers. The dataset includes Math Confidence Scale (MCS) measurements taken both before and after a math training intervention. The final variable, named 'type', indicates whether the data were collected prior to or following the intervention.
data(MCS_WSC)MCS_WSC is a data frame with 2200 cases (rows) and 7 variables (columns). The variables are named item_1, item_2 ...., item_6, and type ("pre" or "post").
I understand the meaning of a factor in an algebraic expression.
I understand the difference between a base and an expression in an algebraic expression.
I can simplify algebraic expressions that involve multiplying exponential expressions with the same base.
I can simplify algebraic expressions that involve dividing exponential expressions with the same base.
I can simplify algebraic expressions that involve raising an expression to a power.
I can simplify algebraic expressions that involve negative exponents.
Either "pre" or "post", indicating assessment timing.