UNH Personality Lab


This Excel document contains an open-source version of the data for “When people estimate their personal intelligence who is overconfident? Who is accurate”, an article to appear in 2021 in the journal Personality and Individual Differences. The file contains data related to two forms of the measure, the “Self-Estimated Personal Intelligence”. The first is a 120 item version of the scale (the SEPI-120; the second is a 16-item version (the SEPI-16). Personal intelligence involves the ability to understand personality in oneself and others. Self-estimated personal intelligence (as contrasted with the actual ability) involves holding opinions of oneself such as “I am good at understanding people”. The SEPI-120, especially, can be used for understanding how people think about their strengths and weaknesses in the area.

Principal Investigator: John D. Mayer, Psychology Department, University of New Hampshire

Co-Investigator: David R. Caruso, Office of Dean of Yale College, Yale University

Co-Investigator: A. T. Panter, University of North Carolina, Chapel Hill

Date of data collections: 2012 to 2018

Location of data collections: (a) Chapel Hill, North Carolina, (b) Durham, New Hampshire, and (c) online through Amazon Mechanical Turk

No funding sources

The data can be output in CSV from Excel. It was originally analyzed in SPSS for general statistics and in Mplus for all factor models. All three data sets have been screened.

More information is available in the article and its associated Technical Supplement


Data Catalog

Publication Date


Document Type

Data Set