This paper describes three spreadsheet exercises demonstrating the nature and frequency of type I errors using random number generation. The exercises are designed specifically to address issues related to testing multiple relations using correlation (Demonstration I), t tests varying in sample size (Demonstration II) and multiple comparisons…

As educators, we need to stop fearing data and embrace its power. This article discusses how classroom teachers can design, implement, and analyze longitudinal assessments to diagnose issues related to student achievement and meet the demands of our evolving data-driven educational culture. Practical advice on exam production and data analysis…

In education, data-driven decision making is a buzz word that has come to mean collecting absolutely as much data as possible on everything from attendance to zero tolerance, and then having absolutely no idea what to do with it. Most educational organizations with a plethora of data usually call in a data miner, or evaluator, to make some sense…