EZAnalyze has been developed to help educators, particularly school counselors, use data efficiently and effectively. The types of procedures included with EZAnalyze are based on the American School Counselor Association's (ASCA) National Model; however, the language and capabilities contained within EZAnalyze are suitable for all educators.
The Advanced features of EZAnalyze were included mostly as pedagogical tools for teaching graduate students in schools of education how to use data with a practical, low-cost tool.
National Model calls on counselors to use data in several ways, namely:
DISAGGREGATING DATA. Disaggregating data, simply put, is breaking down data by different categories. For example, the "achievement gap" - the differences observed in academic achievement by ethnicity - is highlighted by disaggregating academic achievement data by ethnicity.
CHANGES OVER TIME. Changes over time can be shown by creating difference variables. For example, if you are interested in knowing how differently students scored on a standardized test in 1999 and 2003, EZAnalyze can create a new score that shows you the amount of improvement or decline for each student. Alternatively, you can use the graphing functions built into EZAnalyze to create a chart depicting how differently students scored in 1999 and 2003.
RESULTS REPORTS WITH SIMPLE STATISTICS. The types of statistics needed to effectively create a results report do not need to be complicated. EZAnalyze makes it easy to compute simple "descriptive statistics" on your data, such as means, standard deviations, percentages, and a few others.