FIPSE LSDL Modules

 

PLE 5: Module 6

PLE 5: Disaggregating Achievement

Purpose

This activity is directed toward an understanding of achievement comparisons by group.  It is also focused on understanding the difference between descriptive and inferential statistics and what are appropriate when looking at whole school data.  

Objectives:

  1. To build understanding of ways to look at achievement by multiple group indicators.
  2. To identify which statistics are most useful in these comparison
  3. Understand the statistical functions that are necessary to determine disproportionality

Essential Question

What can be learned by disaggregating student achievement data into more precise categories?

Activity: Achievement comparisons
Select one test score from the data set and answer the following questions.

  1. What is the overall achievement for the group?  What measure of central tendency did you use and why?
  2. Make a table which displays the average achievement by sex.  Include the number of students in each group.  Are there differences?  How would you know?
  3. Make a table which displays the average achievement by race.  Include the number of students in each group.  Include the number of students in each group. Are there differences? How do you know?
  4. Make a table which displays the average achievement by both race and sex.  Include the number of students in each group.   Are there differences?  How do you know?
  5. Make a table which displays the average achievement by race, sex, and poverty proxy.  Include the number of students in each group.  Are there differences?  How do you know?