Emotional valence and arousal in spoken word recognition: a hierarchical drift diffusion reanalysis of MALD This project asks whether a spoken word’s emotional valence and arousal affect how quickly listeners accumulate evidence that it is a word. We reanalyse the Massive Auditory Lexical Decision database (MALD; Tucke...
Jason Tipples· Open Science Framework· 0 citations
Human observers often agree when facial expressions are clearly happy or clearly angry. However, when expressions become ambiguous, emotion judgements may be influenced by characteristics of the face itself. Previous research suggests that facial emotion recognition is affected by face sex, gender stereotypes, facial s...
Jason Tipples· Open Science Framework· 0 citations
This is a registered secondary analysis of public data from Experiment 2 of Schmitz et al. (2024, PLOS ONE), in which 39 participants identified a peripheral target letter after a central cue. The cue was an arrow, a schematic face, or a colour, and was either neutral or 100% counter-predictive (arrows and faces) or in...
Jason Tipples· Open Science Framework· 0 citations
Secondary analysis of two public cueing datasets (Schmitz et al., 2024). Experiment 1 uses non-predictive arrow and face cues. Experiment 2 uses 100% counter-predictive arrow, face and colour cues. The question is where in the RT distribution cues act: a shift of the whole distribution (the ex-Gaussian location mu), a...
Jason Tipples· Open Science Framework· 0 citations
Exp3_observed_quantile_effects.R — Calculates participant-level RT quantiles separately by gaze validity, response accuracy, and SOA for Data Set 3. Computes within-participant invalid-minus-valid effects at the .10, .25, .50, .75, and .90 quantiles and produces the observed distributional-effects figure used in the ma...
Jason Tipples· Zenodo (CERN European Organi...· 0 citations
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