Research

Ensuring that Galileo and its Users Stay Ahead of the Curve

Research support behind Galileo helps make it the clear choice for educators as you focus on making a measurable difference in student learning. ATI's dedicated Research Department helps make it possible for Galileo K-12 to continuously evolve in response to changes in client needs, in federal and state legislation, in assessment and instruction research findings, and in technology. ATI research supporting Galileo includes:

ATI Research
  • implementation of Item Response Theory (IRT) procedures to establish item characteristics such as difficulty
  • IRT analyses placing scores from multiple assessments on the same scale to accurately assess student growth
  • identification of cut scores forecasting likely student performance on statewide tests
  • annual determination of expectations for student growth
  • evaluation of assessment reliability, validity, and end-of-year forecasting accuracy
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Research Based Offerings

research based offerings video

Learn more about ATI Research Based Offerings. View the video above.

Psychometric Analysis of Items and Assessments

ATI conducts psychometric analyses of items and multiple types of district-wide assessments (e.g., benchmark, pretest, posttest) using IRT techniques. IRT techniques are used to provide Developmental Level (DL) scores and to place those scores on a common scale to support the measurement of growth. Note this is not possible with raw scores such as number correct or percent correct.

Forecasting of Statewide Test Performance

ATI uses well-established statistical approaches to set cut scores for multiple types of assessments that forecast performance on statewide assessments. Forecasting information can be used by teachers, administrators, specialists, and parents throughout the year along with data about student standards mastery, achievement, and growth to improve instructional effectiveness and student learning

Item Response Theory capabilities

Evaluation of Student Growth

ATI's Categorical Growth Analysis indicates whether expected growth was exceeded, maintained, or not maintained for various groups of students. Growth expectations in math, ELA, writing, and science (grades kindergarten through 12) are based on annual research conducted by ATI using regression techniques. Growth expectations for other content areas are based on the average observed growth for the district.

Research on Reliability, Validity, and Forecasting Accuracy

ATI's ongoing research routinely demonstrates that Galileo assessments demonstrate high reliability, predictive validity, and accuracy in forecasting student performance on statewide tests. Approximately 95 percent of students classified at the lowest level of risk typically go on to pass the statewide assessment.

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