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 "data"):data[deidentifiedParticipantCode][taskStr][repetitionStr]Where: deidentifiedParticipantCode is of the format: "Participant_001" to "Participant_228",taskStr is either "detection" or "discrimination"repetitionStr is either "test" or "retest"Indexing at those three levels will return a single measurement result, which conforms to:"type": "object","required": ["data", "log2Threshold", "log2ThresholdStdErr", "overallPCorrect", "overallPCorrectCI"],"properties": { "data": { "description": "Raw data collected in the measurement", "type": "object", "required": ["log2Disparity", "nCorrect", "nTrials"], "properties": { "log2Disparity": { "description": "log2-transformed disparity values", "type": "array", "items": { "type": "number" } }, "nCorrect": { "description": "Number of correct responses at each disparity", "type": "array", "items": { "type": "string" } }, "nTrials": { "description": "Number of trials collected at each disparity", "type": "array", "items": { "type": "string" } } } }, "log2Threshold": { "description": "Stereoacuity threshold in log2 disparity", "type": "number" }, "log2ThresholdStdErr": { "description": "Standard error of log2Threshold", "type": "number" }, "overallPCorrect": { "description": "Overall proportion of correct responses", "type": "number" }, "overallPCorrectCI": { "description": "Lower and upper limits of the 95% confidence interval for overallPCorrect", "type": "array", "items": { "type": "number" } }}