Lexical ambiguity resolution was examined in children aged 7 to 10 years and adults. In Experiment 1, participants heard sentences supporting one (or neither) meaning of a balanced ambiguous word in a cross-modal naming paradigm. Naming latencies for context-congruent versus context-incongruent targets and judgements of the relatedness of targets to the sentence served as indices of appropriate context use. While younger children were faster to respond to related targets regardless of the sentence context, older children and adults showed priming only for context-appropriate targets. In Experiment 2, only a single-word context preceded the homophone, and in contrast to Experiment 1, all groups showed contextual sensitivity. Individual working-memory span and inhibition ability were also measured in Experiment 2, and more mature executive function abilities were associated with greater contextual sensitivity. These findings support a developmental model whereby sentential context use for lexical ambiguity resolution increases with age, cognitive processing capacity, and reading skill.

In this study, I examined the impact of periodic pop quizzes on cumulative final exam scores. Specifically, I compared the impact of using no quizzes, graded quizzes, and ungraded quizzes on final exam scores of introductory psychology students. Quizzed students also completed a survey with questions probing how the students felt about the inclusion of quizzes in the course. Students taking ungraded pop quizzes outperformed students taking graded pop quizzes and students taking no quizzes on the final exam. Students taking ungraded pop quizzes felt positive about having quizzes in their classes. The current findings have implications for research on the mitigating impact of anxiety on test-enhanced learning and on pedagogical strategy selection for educators.

We examined how well imageability, concreteness, perceptual strength, and action strength predicted recognition memory, lexical decision, and reading aloud performance. We used our imageability estimates [Cortese, M. J., & Fugett, A. (2004). Imageability ratings for 3,000 monosyllabic words. Behavior Methods and Research, Instrumentation, & Computers, 36(3), 384–387. https://doi.org/10.3758/BF03195585; Schock, J., Cortese, M. J., & Khanna, M. M. (2012a). Imageability ratings for 3,000 disyllabic words. Behavior Research Methods, 44(2), 374–379. https://doi.org/10.3758/s13428-011-0162-0], concreteness norms of Brysbaert and colleagues [Brysbaert, M., Warriner, A. B., & Kuperman, V. (2014). Concreteness ratings for 40 thousand generally known English lemmas. Behavior Research Methods, 46(3), 904–911. https://doi.org/10.3758/s13428-013-0403-5], and perceptual and action strength ratings of Lynott and colleagues [Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2020). The lancaster sensorimotor norms: Multidimensional measures of perceptual and action strength for 40,000 English words. Behavior Research Methods, 52(3), 1271–1291. https://doi.org/10.3758/s13428-019-01316-z]. Our results indicate imageability is the best predictor, but methodological differences between ratings studies may contribute to the results. Surprisingly, action strength was negatively (albeit weakly) related to recognition memory. Analyses of item zRTs from the English lexicon project indicate these variables were not strong predictors of reading aloud or lexical decision performance. However, there is a small, consistent positive relationship between concreteness and zRTs (i.e., a facilitative abstractness effect). We believe researchers should either employ or control for imageability rather than concreteness, perceptual strength, or action strength when conducting recognition memory experiments. In addition, image-based codes generated at encoding strengthen memory traces but do not provide major inputs into reading aloud and lexical decision processes. Also, the facilitative abstractness effect on lexical decision and reading aloud zRTs may reflect more robust lexical representations for abstract words than concrete words, and that these two constructs are distinct.

We examined two groups of combat veterans, one with post-traumatic stress disorder (PTSD) (n = 27) and another without PTSD (n = 16), using an emotional Stroop task (EST) with word lists matched across a series of lexical variables (e.g. length, frequency, neighbourhood size, etc.). Participants with PTSD exhibited a strong EST effect (longer colour-naming latencies for combat-relevant words as compared to neutral words). Veterans without PTSD produced no such effect, t < .918, p > .37. Participants with PTSD then completed eight sessions of attention training (Attention Control Training or Attention Bias Modification Training) with a dot-probe task utilising threatening and neutral faces. After training, participants—especially those undergoing Attention Control Training—no longer produced longer colour-naming latencies for combat-related words as compared to other words, indicating normalised attention allocation processes after treatment.

Background: Post-traumatic stress disorder (PTSD) is often associated with attention allocation and emotional regulation difficulties, but the brain dynamics underlying these deficits are unknown. The emotional Stroop task (EST) is an ideal means to monitor these difficulties, because participants are asked to attend to non-emotional aspects of the stimuli. In this study, we used magnetoencephalography (MEG) and the EST to monitor attention allocation and emotional regulation during the processing of emotionally charged stimuli in combat veterans with and without PTSD.Method: A total of 31 veterans with PTSD and 20 without PTSD performed the EST during MEG. Three categories of stimuli were used, including combat-related, generally threatening and neutral words. MEG data were imaged in the time-frequency domain and the network dynamics were probed for differences in processing threatening and non-threatening words.Results: Behaviorally, veterans with PTSD were significantly slower in responding to combat-related relative to neutral and generally threatening words. Veterans without PTSD exhibited no significant differences in responding to the three different word types. Neurophysiologically, we found a significant three-way interaction between group, word type and time period across multiple brain regions. Follow-up testing indicated stronger theta-frequency (4–8 Hz) responses in the right ventral prefrontal (0.4–0.8 s) and superior temporal cortices (0.6–0.8 s) of veterans without PTSD compared with those with PTSD during the processing of combat-related words.Conclusions: Our data indicated that veterans with PTSD exhibited deficits in attention allocation and emotional regulation when processing trauma cues, while those without PTSD were able to regulate emotion by directing attention away from threat.

The megastudy paradigm has become an important tool for cognitive science. One advantage to the megastudy is that existing data can be reanalysed in light of novel hypotheses. In the current study, recognition memory data for 4819 words were obtained. Multiple regression analyses assessed the influence of emotional variables on recognition memory performance (i.e., hits minus false alarm rates H-FAs) for the words. The predictor variables included valence, arousal, extremity of valence (the degree of negative or positive meaning), context valence (the degree to which a word typically appears in positive or negative contexts), context arousal (how emotionally reactive are contexts in which the word appears), and context extremity of valence (the degree of this typical emotional context). This study extended earlier work by implementing more thorough controls, maximising the number of words, assessing a more comprehensive set of emotional variables, and introducing the context extremity of valence variable. We found extremity of valence, context extremity of valence, context valence, and context arousal all were significant predictors of H-FAs. We interpret the results in terms of the dual-coding theory and hub and spoke model. We also explain how single-process models could accommodate the results in terms of context diversity.