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Scoring Service API
Assigns an ability estimate to an assessment-taker in the form of a Lexile Reading, El Sistema Reading, or Quantile measure.
About Scoring Service REST API

APIs
- Scoring Service API
  Assigns an ability estimate to an assessment-taker in the form of a Lexile Reading, El Sistema Reading, or Quantile measure.
  - About Scoring Service REST API
    - Service Level Agreement for Scoring Service API
    - High Availability
      High Availability (HA) of MetaMetrics® Services.
    - Bayesian Scoring Theoretical Foundations
      Everyone has heard the maxim “the best predictor of future behavior is past behavior.” Bayesian Scoring is a statistical approach for predicting a student’s test score by incorporating both the student’s prior test scores and the uncertainty associated with all measures into an adjustment to the current score. The more confident we are about the prior information, the smaller is the standard deviation of the prior information (Yen and Fitzpatrick, 2006). The result is that the adjusted score is a more accurate measure of the student’s “true” ability level. The MetaMetrics Scoring Service API is a scoring technology that updates student ability measures – Lexile or Quantile measures. Calculations are made by incorporating historical student performance data and current test experiences to estimate new, more refined ability estimates.
    - Reporting Scoring Service Measures
      The Scoring Service API uses the Lexile® and Quantile® frameworks to calculate student measures (called ability in the API response).
    - Scoring Service Response Codes
    - Scoring Service REST API FAQ
      The process of scoring student assessments and reporting results has evolved greatly over the years. From teachers sitting with paper-based answer sheets to bubble-sheets fed through a machine that produces a percent correct, technology has helped to enhance the process of scoring tests. While percent correct on an assessment can be valuable, many assessments benefit from reporting an estimate of the underlying student ability in an educational construct. These ability estimates provide indicators of status and can be used to monitor growth over time.
  - API Calls
  - Service Level Agreement for Scoring Service API
- Lexile Text Analyzer API
  Analyzes text to produce Lexile text measures on custom content.
- Titles API
  Access more than 470,000 hardcover, e-books, paperback, trade and other titles.
- Forecasting API
  Forecast an individual student or group performance on an upcoming assessment.
- Growth Planner API
  Plot a student's projected growth using Lexile or Quantile measures.
- Oral Reading API
  Measures a student's oral reading ability and the oral readability of text on the same scale.
- PowerV API
  Create and access vocabulary lists for over thousands of titles with the Titles Database.
- Career Database API
  Identify a career’s reading and math demands in Lexile and Quantile metrics for goal setting and career preparedness.

About Scoring Service REST API

The process of scoring student assessments and reporting results has evolved greatly over the years. From teachers sitting with paper-based answer sheets to bubble-sheets fed through a machine that produces a percent correct, technology has helped to enhance the process of scoring tests. While percent correct on an assessment can be valuable, many assessments benefit from reporting an estimate of the underlying student ability in an educational construct. These ability estimates provide indicators of status and can be used to monitor growth over time.

The MetaMetrics Scoring Service API has been designed to simplify the process of assigning an ability estimate to a test-taker in the form of a Lexile or El Sistema Reading measure, or a Quantile measure. As students take assessments, test results can be sent to the Scoring Service API, providing real-time estimates of student ability. The API supports reporting:

Standard measures (called ability in the API response) where there is no prior information about a student.
Bayesian measures (called ability in the API response) where prior information about a student combines with the current assessment to yield a more-precise estimate.

The standard measures received from the API should be saved because they can be used as prior student information when making Bayesian calls.

Here you'll find the steps necessary for a partner to integrate the MetaMetrics’ Scoring Service API into their product. This includes information on the types of measures supported by the API, the information required to use the API, and reporting guidelines.