**References:** Morgan, C. A., Hazlett, G., Baranoski, M., Doran, A., Southwick, S., & Loftus, E. (2007). Accuracy of eyewitness identification is significantly associated with performance on a standardized test of face recognition. International Journal of Law and Psychiatry, 30, 213-223. Jones, R. L., Scullin, M. H., & Meissner, C. A. (2011). Evidence of differential performance on simultaneous and sequential lineups for individuals with autism-spectrum traits. Personality and Individual Differences, 51, 537-540. Yager, J., & Iarocchi, G. (2013). The development of the multidimensional social competence scale: A standardized measure of social competence in autism spectrum disorders. Autism Research, 6(6), 631-641. Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The autism-spectrum quotient (AQ): Evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders 31(1), 5-17. Fresco, D. M., Coles, M. E., Heimberg, R. G., Liebowitz, M. R., Hami, S., Stein, M. B., & Goetz, D. (2001). The Liebowitz social anxiety scale: A comparison of the psychometric properties of self-report and clinician-administered formats. Psychological Medicine 31, 1025-1035. **Rationale for the study and design:** We are running the next in a series of studies based on findings by Kantner and Lindsay (2012), in which the authors found reliable individual differences in memory response bias across several stimuli, testing sessions, testing locations, etc. One experiment showed a significant correlation between response bias on a recognition memory test for words and false positive rate for a set of lineups based on earlier-seen crime videos. We began expanding upon these findings in early 2012 and are currently writing a manuscript detailing the studies conducted up to now. The present study also explores the relationship between other individual differences and lineup identification performance. Previously published studies have suggested that lineup identification performance is related to autism spectrum traits (Anderson, Carlson, Carlson, & Gronlund, 2014; Jones, Scullin, & Meissner, 2011). We asked all participants in the present study to complete Autism Spectrum Quotient (AQ), the Multidimensional Social Competence Scale (MSCS), and the Liebowitz Social Anxiety Scale (LSAS). We explored whether there was a relationship between scores on these measures and lineup performance, including PTC. Because of this link between lineup performance and autism spectrum traits, we also recruited a small sample of adults with Autism Spectrum Disorder (ASD). The performance of the ASD group will be compared with a control group of typically-developing (TD) participants tested under identical conditions (individually, rather than in groups). **Method:** Same as others in this line of research except that distractor tasks are the AQ, MSCS, and LSAS. **Data collection:** Data was collected for 12 participants with ASD and 101 TD participants tested in groups. Data did not show any strong relationships between ON or NN scores and ASD measures, though individuals with ASD did not perform as well on the tasks as the TD participants. **Collaborators:** Patrick Dwyer, Mario Baldassari, D. Stephen Lindsay, a slew of helpful undergraduates **Timeline:** Proposed November 2015, designed and collected spring 2016. Complete. **Participants:** Local undergraduates at the University of Victoria. Power analyses indicate that a sample size of 80 will provide a power level of .95 to detect an effect of r = .35 at the .05 alpha level. Such a finding would provide a 95% confidence interval for r between .14 and .59. Exclusion rules we have previously established for these studies: 1. Those who admit to distractions or skip portions of the study 2. Those who RA's catch doing another task instead of watching the videos 3. Those who respond to lineups in less than 1000ms or longer than 15000ms Planned Analyses: If the spread of AQ, MSCS, and LSAS scores is enough to merit regression, we will test each and all as predictors of N/N rejection rates and O/N accuracy. If not, we may look to split the sample into groups to test for differences in rejection and accuracy rates. As these PTC test scores tend to correlate with lineup accuracy rates, we will also compare personality measures to lineup scores if the relationship of each with PTC scores is large enough to reasonably assume that some additional variance in lineup ability may be accounted for by the personality measures. We will also, as in previous studies in this series, measure the correlation between rejection rate of N/N pairs and rejection rate of lineups and also the correlation between correct selection rate of O/N pairs and correct selection rate of lineups (including additional analyses with false rejections removed). We may also investigate the predictive value of confidence and reaction time on both tasks. If the number of participants with ASD is sufficient, we will test for differences in O/N accuracy, N/N rejection rates, and rejections and correct selection rates of lineups between participants with ASD and TD controls. Face stimuli were acquired from the kind folks at the Park Aging Mind Lab at UT-Dallas: http://agingmind.utdallas.edu/facedb Minear, M. & Park, D.C.(2004). A lifespan database of adult facial stimuli. Behavior Research Methods, Instruments, & Computers. 36, 630-633. - See more at: http://agingmind.utdallas.edu/facedb#sthash.gjoQZoLI.dpuf Contact information: For more information please contact Mario Baldassari (mjbldssr@uvic.ca) or Steve Lindsay (slindsay@uvic.ca).