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power_array.json
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134 lines (122 loc) · 4.53 KB
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{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://scienceverse.org/schema/power_array.json",
"title": "Power Analyses",
"description": "A collection of power analyses reported in a document.",
"type": "object",
"properties": {
"power_analyses": {
"type": "array",
"items": {
"type": "object",
"properties": {
"text": {
"description": "The specific text that contains all of the information used to determine this object's properties.",
"type": ["string", "null"]
},
"power_type": {
"description": "The type of power analysis. An 'apriori' power analysis is used to calculate the required sample size to achieve a desired level of statistical power given an effect size, statistical test, and alpha level. A 'sensitivity' analysis is used to estimate, given a sample size, which effect sizes a design has sufficient power (e.g., 80% or 90%) to detect, given a statistical test and alpha level. A 'posthoc' power analysis (also referred to as observed power, or retrospective power) uses an empirically observed effect size, and computes the achieved power for that empirically observed effect size, given a statistical test and alpha level.",
"type": ["string", "null"],
"enum": ["apriori", "sensitivity", "posthoc", null]
},
"statistical_test": {
"description": "The statistical test used. Use null if unclear.",
"type": ["string", "null"],
"enum": [
"paired t-test",
"unpaired t-test",
"one-sample t-test",
"1-way ANOVA",
"2-way ANOVA",
"3-way ANOVA",
"MANOVA",
"regression",
"chi-square",
"correlation",
"other",
null
]
},
"statistical_test_other": {
"description": "Free-text description if statistical_test is 'other', otherwise null.",
"type": ["string", "null"]
},
"sample_size": {
"description": "The sample size determined by or used in the power analysis. Give the total number if this is expressed as number per group.",
"type": ["number", "null"],
"minimum": 0
},
"alpha_level": {
"description": "The alpha threshold used to determine significance.",
"type": ["number", "null"],
"exclusiveMinimum": 0,
"maximum": 1
},
"power": {
"description" : "The statistical power, expressed as a number between 0 and 1.",
"type": ["number", "null"],
"minimum": 0,
"maximum": 1
},
"effect_size": {
"description": "The numeric effect size used in or determined from the power analysis.",
"type": ["number", "null"]
},
"effect_size_metric": {
"description": "The effect size metric. Use 'unstandardised' for raw/non-standardized effects.",
"type": ["string", "null"],
"enum": [
"Cohen's d",
"Hedges' g",
"Cohen's f",
"partial eta squared",
"eta squared",
"unstandardised",
"other",
null
]
},
"effect_size_metric_other": {
"description": "Free-text description if effect_size_metric is 'other', otherwise null.",
"type": ["string", "null"]
},
"software": {
"description": "The software used to conduct the power analysis.",
"type": ["string", "null"],
"enum": [
"G*Power",
"Superpower",
"Pangea",
"Morepower",
"PASS",
"pwr",
"simr",
"PowerUpR",
"simulation",
"InteractionPoweR",
"pwrss",
"other",
null
]
}
},
"required": [
"text",
"power_type",
"statistical_test",
"statistical_test_other",
"sample_size",
"alpha_level",
"power",
"effect_size",
"effect_size_metric",
"effect_size_metric_other",
"software"
],
"additionalProperties": false
}
}
},
"required": ["power_analyses"],
"additionalProperties": false
}