Interpreting Candidate Score Reports

The FTCE/FELE program uses scaled scores to summarize and report candidate performance. A scaled score is a conversion of the numerical raw score achieved on the test to a score in the predetermined range used for each test. Scaled scores are used to ensure consistency in reporting and considering scores from tests that comprise different numbers and types of test questions but display an overall similarity of use and purpose. The passing scores for the FTCE and FELE are set by the Florida Department of Education and approved by the State Board of Education.

Test Results Information for Candidates

The FTCE/FELE Score Interpretation Guide Link opens a PDF document provides a detailed explanation of how to read and interpret candidates' scores. Additional information to help explain the scoring and reporting process to candidates is also available on this website.

Reporting for Institutions

Institutions can evaluate the performance of their candidates—individually or in aggregate—by using ResultsAnalyzer®, a web-based data analysis tool provided for the FTCE/FELE program. Authorized users of this score-reporting website may view, analyze, reorganize, download, and print rosters and reports based on test results data and on background information gathered during test registration, and therefore have the ability to generate custom reports for themselves. The information made available on this site is reported expressly for use by preparation program faculty and administrators, and is therefore kept secure.

The ResultsAnalyzer® tool allows users to access candidate, test, and program data, giving them the capability to:

  • Create relevant and timely reports on candidate and institution test results
  • Customize data queries to align with institution goals and areas of interest
  • Aggregate performance data across testing program years
  • Export data to Microsoft® Excel or other report software and print graphics
  • Analyze candidate and institution data for numerous variables (including self-reported data such as gender and ethnicity)