Question: . An example trial from the search task: Task: is a picture of a house present or absent? READY 750ma 30 0mis 60 0ma Time





. An example trial from the search task: Task: is a picture of a house present or absent? READY 750ma 30 0mis 60 0ma Time (ms) Image adapted from Becker (2009) Face stimulus from Long et al. (2023) available under a CC 4.0 International License: http://creativecommons.org/ licenses/by/4 01. Emotion expressions used: Happy, Neutral, Fearful. Set sizes used: 3 pictures, 6 pictures, 9 pictures. Timing of stimuli is shown in the figure above. Participants searched for the presence of a house picture among distracting pictures of non-house objects. If a house was present, participants were asked to press the "Y" key. If a house was absent, participants were asked to press the "N" key. Participants completed one practice block of 10 trials and three experimental blocks of 108 trials (324 experimental trials in total). Each experimental block included trials with only one type of emotion expression (i.e., one block with all the happy-face trials, one block with all the neutral-face trials, one block with all the fearful-face trials). All trial types occurred an equal number of times. The order of the experimental blocks was randomised for each participant.\fPaired Samples Test Paired Differences Significance 95% Confidence Interval of the Difference Mean Std, Deviation Std, Error Mean Lower Upper df One-Sided p Two-Sided p Pair 1 Set_Size_3_RT - -177.89875 85.01806 5.68051 -189.09309 -166.70441 -31.317 223 <_001 set_size_6_rt pair set_size_9_rt paired samples effect sizes confidence interval standardizer point estimate lower upper set_size_3_rt cohen d hedges correction a. the denominator used in estimating sizes. uses sample standard deviation of mean difference. difference plus a factor.ruacton time . pictures piciures. yellow line="Less" efficient visual search blue set size is called gradient can be calculated using reaction times and values. larger value steeper more inefficient was. g minimum maximum sid. slope_happy slope fear neurtal valid n>
Step by Step Solution
There are 3 Steps involved in it
Get step-by-step solutions from verified subject matter experts
