StatisticsThe Student Predicted an Interaction Between the Image Types and Age Groups Statistics Assignment Help
Jun 10, 2022
Participants’ gender was labelled as “gender”, age as “age”, the type of image was labelled as “image”, and the mean proportion of fixations on the face across 36 images was labelled as “faceperc”. Higher scores on this variable (closer to 1) represent greater time fixating on the face (compared to the rest of the image).Study 2Following from Study 1, the student further deduced that, for Monster images, with the increasing distance between monsters’ eyes and the centre of the face, the amplitude of viewers’ saccades (the movement of eyes travelling from one location to the next; measured in degrees of visual angles) should increase as well, as viewers would move their eyes back and forth between the eyes and face. To test this hypothesis, the student aimed to analyse the mean saccade amplitude (averaged across all 20 participants in the Monster condition) on the 36 Monster images collected in Study 1.In addition, because the luminance contrast of the eyes compared to other areas on an image (e.g., Itti & Koch, 2000) and the likeability of an image (e.g., Maughan et al., 2007) are also known to influence how people move their eyes (i.e., bright eyes attract more gazes and longer saccades, and people tend to look at their favourable images), the second study took these two factors into account.Specifically, the second study investigated how viewers’ mean saccade amplitude might be predicted by the distance between the eyes and the centre of the face, the luminance contrast of the eye areas, and the likeability of the images altogether. The distance between the eyes and face (measured in degrees of visual angles) and the luminance contrast of the eyes (measured in %) were calculated by professional imaging software. The likeability of the Monster images was rated by 20 extra participants on a 0-10 scale (higher score indicates higher likeability).As shown in dataset “Study2.dta”, each image has one data point (a single row per image), and there are 5 variables. In the dataset, the average saccade amplitude (measured in degrees of visual angle) was labelled as “avgsac”; the distance between the eyes and centre face (measured in degrees of visual angle) was labelled as “dist”; the luminance contrast of eyes (measured in %) was labelled as “lumn”; and the likeability of the Monster images (measured on a 0-10 scale with higher score indicating higher likeability) was labelledas “like”. Because Study 2 is a subset of data from Study 1, there is no need to present demographic information in your assignment for Study 2.Study 3For the final study, the honours student was interested in exploring whether the following gaze behaviours might differ for people from different age groups. They hypothesised that adults, compared to children, might adopt more sophisticated eye-following behaviours (e.g., better at looking the eyes, and for longer times) as they should be way more experienced and advanced in communications and other forms of social interactions.In this final experiment, this student used two out of the three types of images (Human and Monsters) from Study 1. The Humanoid images were dropped to simplify the study. As Study 1, a between subject design was used such that participants within each group only view one image type. Extending Study 1, this study recruited participants from two age groups: primary school students and university students, thereby employing a 2 (image types: Human vs. Monster) × 2 (age group: Primary school vs. University students) design. A total of 80 participants took part in Study 3, with 20 participants in each image and age group. Participants’ eye movements were monitored during their free viewing of the images.The student expected a main effect of image types: there should be a larger proportion of fixations on the face for the Human (because eyes are located on the face) than the Monster (because eyes are not on the face) images (similar to Study 1). They also predicted a main effect of age: children might spend a larger proportion of fixations on the faces than adults because of curiosity. Importantly, the student predicted an interaction between the image types and age groups – specifically, the difference in the mean proportion of fixations on the face would be larger for university students than that of the primary school children due to more sophisticated eye-following behaviours.As shown in dataset “Study3.dta”, each participant has one data point (a single row per participant), and there are 6 variables in the dataset. Participants’ gender was labelled as “gender”, age (numeric) as “age”, the type of image was labelled as “image”, the age group was labelled as “ssgroup”, each unique combination of the image type and the age group was labelled as “condition”, and the mean proportion The Student Predicted an Interaction Between the Image Types and Age Groups Statistics Assignment Help Get 25% Off Get Help Search your assignment question here... Why compromising with assignments? Let's Get Your Assignment Done with surety. Order Now TnC Apply HD grades Sponsored Ad Connect with Assignment Expert Now Home > Questions > The Student Predicted an Interaction Between the Image Types and Age Groups Statistics Assignment He … Welcome to TVAssignmentHelp, World's Largest Resource Library for University Assignments with Millions of Happy Students. 2/4 Uploaded By : Roman Posted on : October 28th, 2019 Downloads : 0 of fixations on the face across 36 images was labelled as “faceperc”.Please help the student conduct the appropriate analysis, including all necessary statistical steps (e.g., necessary descriptive statistics, assumptions checking, statistical analysis etc.) before interpreting the results. If necessary, make sure to run post-hoc analyses and keep the overall error rate for the study at an acceptable level.References(NB. You are not expected to read the references; however, some students might find the references helpful in terms of providing additional background information.)Birmingham, E., & Kingstone, A. (2009). A New Look at Past, Present, and Future Investigations
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