Technical Background

The technical data for the College Success Factors Index (CSFI) and the School Success Factors Index (SSFI) is very encouraging. Both the CSFI and the SSFI have been extensively researched, and have significant norm group, reliability, and validity data.

A number of studies have also been conducted to validate that the CSFI accurately identifies "at risk" students. The CSFI scores of freshman students could predict non-return for the second year at a statistically significant level. Our study of 215 students from a public university in the Mid-West found a chi square measurement of 5.46, which was significant at the .02 level. This relationship was found between students whose CSFI scores identified them as likely non-returning students, when compared to their actual return to the university the next year.

These results lead us to believe that CSFI scores can identify the students most likely not to return before they actually drop out. With this data, individual students could be targeted for counseling and remediation, and retention rates improved.  

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