Although individual differences in processing speed, working memory, intelligence, and other cognitive functions were found to explain individual differences in retrospective memory (RetM), much less is known about their relationship with prospective memory (ProM). Moreover, the studies that investigated the relationship between ProM and cognitive functions arrived to contradictory conclusions. The relationship between ProM, personality, and psychopathology is similarly unsettled. Meta-analytic reviews of the relationships of ProM with aging and personality suggest that the contradictory findings may be due to widespread methodological problems plaguing ProM research including the prevalent use of inefficient, unreliable binary measures; widespread ceiling effects; failure to distinguish between various ProM subdomains (e.g., episodic ProM versus vigilance/monitoring); various confounds; and, importantly, small sample sizes, resulting in insufficient statistical power. Accordingly, in a large scale study with nearly 1,200 participants, we investigated the relationship between episodic event-cued ProM, episodic RetM, and fundamental cognitive functions including intelligence, personality, and psychopathology, using reliable continuous measures of episodic event-cued ProM. Our findings show that (a) continuous measures of episodic event-cued ProM were much more reliable than binary measures, (b) episodic event-cued ProM was associated with measures of processing speed, working memory, crystallized and fluid intelligence, as well as RetM, and that such associations were similar for ProM and RetM, (c) personality factors did not improve prediction of neither ProM nor RetM beyond the variance predicted by cognitive ability, (d) symptoms of psychopathology did not improve the prediction of ProM although they slightly improved the prediction of RetM, and (e) participants' sex was not associated with ProM but showed small correlations with RetM. In addition to advancing our theoretical understanding of ProM, our findings highlight the need to avoid common pitfalls plaguing ProM research.

We examined the associations between the size of student evaluation of teaching and learning (SET/learning) correlations and presence of several conflicts of interest (COIs) including corporate, administrative, evaluation unit, SET author, and funder interests. Our meta-analyses of SET/learning correlations reported by multisection studies show that researchers with a vested interest in finding large positive SET/learning correlations found, on average, large positive SET/learning correlations. In contrast, researchers with no identifiable COIs found that SET/learning correlations were zero or nearly zero. The largest SET/learning correlations were reported by authors with ties to SET selling corporations. Smaller but still substantial SET/learning correlations were reported by researchers with administrative assignments and by researchers in evaluation units/departments responsible for the administration of SET. Moreover, authors with the most significant COIs were publishing their studies primarily prior to 1981 whereas authors with no or less significant COIs were publishing their studies in 1981 or afterwards. Studies published prior to 1981 reported small but significant (r = .31) SET/learning correlations whereas studies published in 1981 and after reported near zero, non-significant SET/learning correlations (r = .06). The presence of COIs was associated with earlier publication date but also with smaller samples. Finally, whereas corporate, administrative, and evaluation unit authors nearly ceased publishing multisection studies on SET/learning correlations, authors from business and economics departments are now responsible for the substantial portion of newer, larger, and higher quality studies published in 1981 and after.

Visual word recognition is a relatively effortless process, but recent research suggests the system involved is malleable, with evidence of increases in behavioural efficiency after prolonged lexical decision task (LDT) performance. However, the extent of neural changes has yet to be characterized in this context. The neural changes that occur could be related to a shift from initially effortful performance that is supported by control-related processing, to efficient task performance that is supported by domain-specific processing. To investigate this, we replicated the British Lexicon Project, and had participants complete 16 h of LDT over several days. We recorded electroencephalography (EEG) at three intervals to track neural change during LDT performance and assessed event-related potentials and brain signal complexity. We found that response times decreased during LDT performance, and there was evidence of neural change through N170, P200, N400, and late positive component (LPC) amplitudes across the EEG sessions, which suggested a shift from control-related to domain-specific processing. We also found widespread complexity decreases alongside localized increases, suggesting that processing became more efficient with specific increases in processing flexibility. Together, these findings suggest that neural processing becomes more efficient and optimized to support prolonged LDT performance.

Visual word recognition is perceived to remain relatively stable throughout adulthood, but recent research suggests the system involved is malleable, with evidence of behavioural changes after lexical decision task (LDT) practice. The potential for, and extent of, neural changes have yet to be elucidated in this context. If identified, these neural changes could be due to processes associated with learning, where performance that is initially effortful becomes efficient and supported by an optimized task network. Replicating the British Lexicon Project, participants completed 16 hours of LDT learning over several days. We recorded EEG at three intervals to track neural change during LDT learning and assessed event-related potentials and brain signal complexity. We found that response times decreased during LDT learning, and there was evidence of neural change through N170, P200, N400, and LPC amplitudes across the EEG sessions, suggesting alterations to both the general cognitive and specific lexical processes involved in LDT performance. We also found widespread complexity decreases alongside localized increases, suggesting that processing became more automatic with specific increases in processing flexibility. These findings suggest that the visual word recognition system is dynamic, and has the potential for plastic changes to support more efficient and automatic task performance.

Growing evidence suggests that, along with arbitrariness, non-arbitrariness exists in language. An example of this is iconicity, in which a word’s form resembles its meaning. We investigated whether phonological processing plays a key role in the facilitated processing of iconic language (i.e., in some studies the meanings of iconic words are retrieved more quickly and more accurately). First, we reanalyzed the phonological lexical decision task (PLDT) data from Experiment 2 in Sidhu, Vigliocco, and Pexman (2020), and used accuracy on pseudohomophone trials to gauge extent of phonological processing. Participants with greater pseudohomophone accuracy were found to show larger iconic facilitation. We further tested this relationship with a new PLDT experiment, and collected imitativeness ratings for 522 words in order to manipulate the imitativeness of the iconic stimuli used. We found again that individual differences in phonological processing interacted with iconic facilitation. Further, these effects were found only for imitative iconic words (i.e., onomatopoeia and ideophones), suggesting that direct imitativeness is important to iconic facilitation. These findings suggest phonology plays a key role in iconic facilitation, and that the extent to which an individual engages in phonological processing may affect the strength of observed iconicity effects.