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There is growing debate about whether people have insight into their face recognition ability, including a recent exchange in the The Quarterly Journal of Experimental Psychology (Livingston & Shah, 2017; Palermo et al., 2017). This focussed on reports that people have enough insight into their face recognition ability to justify the use of a self-report questionnaire to identify people with face recognition difficulties, for example, those with developmental prosopagnosia (DP). Shah, Gaule, Sowden, Bird, and Cook (2015) published the 20-item prosopagnosia index (PI20), a self-report questionnaire for measuring prosopagnosic traits. PI20 scores distinguish suspected developmental prosopagnosic from typically developing adults, and they correlate with behavioural measures of familiar (Famous Face Recognition Test; FFRT) and unfamiliar (Cambridge Face Memory Test; CFMT, Duchaine & Nakayama, 2006) face recognition abilities. The PI20 was further validated against a measure of face-matching ability (Glasgow Face Matching Test; Burton, White, & McNeill, 2010) that is more representative of applied settings (Shah, Sowden, Gaule, Catmur, & Bird, 2015). Turano and colleagues (Turano, Marzi, & Viggiano, 2016; Turano & Viggiano, 2017) have since developed the Italian Face Ability Questionnaire, which successfully measures individual differences in face recognition ability in Italian samples (Turano et al., 2016; Turano & Viggiano, 2017). Palermo et al. (2017), however, argued that although individuals with DP might have relatively good insight into their face recognition abilities, due to the severity of their difficulties, typical perceivers have minimal insight (see also, Bobak, Pampoulov, & Bate, 2016). To explain the difference between their findings and those reported in Shah, Gaule, et al. (2015), Palermo et al. (2017) suggested that Shah, Gaule, et al.’s analyses, combining people with and without DP, had inflated the strength of the correlations between PI20 scores and performance on behavioural tasks. They also speculated that people with DP might have been involved in previous research and had therefore received feedback from formal testing prior to administration of the PI20. However, since Palermo et al.’s publication, Gray, Bird, and Cook (2017) have reported correlations between the PI20 scores and CFMT performance in participants that have never received feedback about their face recognition ability. Most recently, Livingston and Shah (2017) re-examined Shah, Gaule, et al.’s (2015) data, which found correlations between the PI20 and the CFMT separately in groups with and without DP. Together, converging evidence indicates that previous findings of a relationship between questionnaire and behavioural measures of face recognition are robust and unlikely to be a statistical artefact. Equally, however, Livingston and Shah (2017) re-examined, rather than replicated, data from a small sample, therefore it would be valuable to replicate these findings in a larger sample of adults. Moreover, they noted that the extent to which humans have “good” insight into their face recognition ability remains debatable and warrants further investigation. We therefore conducted a study to advance this debate on self-reported face recognition ability. We recruited 123 participants (15 Male, Mage = 20.40 years, SDage = 4.35) from a Portuguese University, who gave informed consent and agreed to participate in exchange for course credit. We adapted the PI20 for a Portuguese population (PI20Portuguese; see Supplementary Material) and validated it against behavioural tasks, presented in Portuguese, measuring familiar (FFRT) and unfamiliar (CFMT) face recognition. The FFRT comprised 34 international, including four Portuguese, celebrities (actors, politicians, singers and sports people), to measure familiar face recognition. Participants had to identify the celebrities from cropped Adults have moderate-to-good insight into their face recognition ability: Further validation of the 20-item Prosopagnosia Index in a Portuguese sample