Table of Contents

Analyzing and Interpreting Data: Mining Item-Level Data

Here is where we are in the teaching-assessment cycle with the assessment literacy attributes that are to be covered.

In this section, we will focus on analyzing data and taking action based on data analysis. Item-level data is a gold mine for diagnosing student learning needs. We will take five approaches to mining item-level data:

  1. Looking at the percentage of items correct for a group of students (Selected-Response)
  2. Analyzing patterns in incorrect answer choices for a group of students (Multiple Choice)
  3. Analyzing patterns in incorrect answer choices for individual students (Multiple Choice)
  4. Looking at the percentage of students scoring at each level and individual student scores (Constructed-Response)
  5. Digging into individual test items (Selected- or Constructed-Response)