Raw Data: Stereo-anomaly is found more frequently in tasks that require discrimination between depths

Data serialised to a JSON file, suitable to be loaded into Python as a dictionary. Structure is then as follows (if it were loaded to a dictionary "<b>data</b>"):data[deidentifiedParticipantCode][taskStr][repetitionStr]Where: <b>deidentifiedParticipantCode </b>is of the format: "Participant_001" to "Participant_228",<br><b>taskStr </b>is either "detection" or "discrimination"<b>repetitionStr</b> is either "test" or "retest"Indexing at those three levels will return a single measurement result, which conforms to:"type": "object",<br>"required": ["data", "log2Threshold", "log2ThresholdStdErr", "overallPCorrect", "overallPCorrectCI"],"properties": {<br> "data": { "description": "Raw data collected in the measurement",<br> "type": "object", "required": ["log2Disparity", "nCorrect", "nTrials"],<br> "properties": { "log2Disparity": {<br> "description": "log2-transformed disparity values", "type": "array",<br> "items": { "type": "number"<br> } },<br> "nCorrect": { "description": "Number of correct responses at each disparity",<br> "type": "array", "items": {<br> "type": "string" }<br> }, "nTrials": {<br> "description": "Number of trials collected at each disparity", "type": "array",<br> "items": { "type": "string"<br> } }<br> } },<br> "log2Threshold": { "description": "Stereoacuity threshold in log2 disparity",<br> "type": "number" },<br> "log2ThresholdStdErr": { "description": "Standard error of log2Threshold",<br> "type": "number" },<br> "overallPCorrect": { "description": "Overall proportion of correct responses",<br> "type": "number" },<br> "overallPCorrectCI": { "description": "Lower and upper limits of the 95% confidence interval for overallPCorrect",<br> "type": "array", "items": {<br> "type": "number" }<br> }}