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Background of Example 2
As a second demonstration, we reanalysed the full dataset from one of our previous paper
Miellet, S., He, L., Zhou, X., Lao, J. & Caldara, R. (2012). When East meets West: gaze-contingent Blindspots abolish cultural diversity in eye movements for faces. Journal of Eye Movement Research, 5(2):5,1-12.
_Figure 2 in Miellet et al. (2012)_Previous studies testing Western Caucasian (WC) and East Asian (EA) observers showed that people deploy different eye movement strategy during free-viewing of faces. Western Caucasian observers fixate systematicly towards the eyes and mouth, following a triangular pattern, whereas East Asian observers perfominatly fixated at the center of the face (Blais, Jack, Scheepers, Fiset, & Caldara, 2008; Caldara, Zhou, & Miellet, 2010). Moreover, human observers can flexibly adjust their eye movment strategy to adapt to the environmental constraints, as shown using different gaze-contingent paradigm (Caldara, Zhou, & Miellet, 2010; Miellet, He, Zhou, Lao, & Caldara, 2012). In our 2012 study, we tested two groups of observers in a face task where their foveal vision were restricted by a blindspot. This is a mixed design with the culture of the observers as the between-subject factor (WCs or EAs) and the blindspot size as the within-subject factor (four level: natural viewing, 2° blindspot, 5° blindspot, or 8° blindspot). For more details of the experiment, please find Miellet, et al (2012).
You can find the analysis code here
This wiki is adapted from the original iMap4 guidebook.
If you have any questions about the iMap4 usage, please email [email protected]
Getting started
Theory
- Linear Mixed Models
- Pixel Wise Modeling and non-parametric statistics
- Family-wise error rate (FWER) under H0
- Power analysis of iMap4
Data structures and function usage
- Core functions
- Input Matrix
- LMMmap
- StatMap, Posthoc and figure outputs
- Other useful features and function
Example 1 (GUI)
- Background of Example 1
- Using the GUI (1): Import Data and label columns
- Using the GUI (2): Parameters and Conditions
- Using the GUI (3): Create smoothed fixation matrix
- Using the GUI (4): Optional for preprocessing
- Using the GUI (5): Descriptive Statistics Report
- Using the GUI (6): Spatial Mapping Using Linear Mixed Models
- Using the GUI (7): Hypothesis testing and Display results
- Using the GUI (8): Post-hoc analysis
Example 2 (Code)
Example 3 (Code)
Example 4 (Code)
Future development
Additional information