This data set presents the data from the paper by Hendrikse, Dingemanse, & Goedegebure (2022). This study aimed to investigate the feasibility of using listening effort to measure relatively small differences in SNR, as would arise from different hearing-device settings. Listening effort was chosen, because there are indications in literature that listening effort may be more sensitive to differences between hearing-device settings than established speech intelligibility measures. Two behavioral listening effort tests were performed at two signal-to-noise ratios (SNRs) where the intelligibility was high. A sentence final word identification and recall test (SWIRT), and a sentence verification test (SVT) were compared with a group of 18 Dutch CI users. SWIRT measured the ability to recall the final words of sentences after a list of five or seven sentences was presented. The SVT measured the ability and reaction time to determine whether a sentence was true or false. Both tests were conducted in background noise at SNRs +4 dB and +8 dB above the 50% speech perception threshold. The structure of the data files is explained in the README file.

{"references": ["Adank, P., & Janse, E. (2009). Perceptual learning of time-compressed and natural fast speech. J Acoust Soc Am, 126(5), 2649-2659. doi:10.1121/1.3216914", "Hendrikse, M. M. E., Dingemanse, G., & Goedegebure, A. (2022). On the Feasibility of Using Behavioral Listening Effort Test Methods to Evaluate Auditory Performance in Cochlear Implant Users. preprint. Erasmus MC. Zenodo.", "Janse, E., & Adank, P. (2012). Predicting foreign-accent adaptation in older adults. Q J Exp Psychol (Hove), 65(8), 1563-1585. doi:10.1080/17470218.2012.658822", "Versfeld, N. J., Daalder, L., Festen, J. M., & Houtgast, T. (2000). Method for the selection of sentence materials for efficient measurement of the speech reception threshold. J Acoust Soc Am, 107(3), 1671-1684. doi:10.1121/1.428451"]}

Version 2 includes revised R scripts.