UNH Personality Lab
Abstract
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
Department
Data Catalog
Publication Date
1-20-2021
Document Type
Data Set
Recommended Citation
Mayer, John D.; Caruso, David R.; and Panter, A. T., "Open Source Data for the 2021 article “How Do People Think About Understanding Personality—And What Do Such Thoughts Reflect?” by J.D. Mayer, D. R. Caruso, and A.T. Panter in Personality and Individual Differences" (2021). UNH Personality Lab. 37.
https://scholars.unh.edu/personality_lab/37