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Measure	Value	Notes
Pre-score mean	${roundMe(meanPreScore,2)}
Pre-score standard deviation	${roundMe(stdPreScore,2)}
Post-score mean	${roundMe(meanPostScore,2)}
Post-score standard deviation	${roundMe(stdPostScore,2)}
Raw difference between means	${roundMe(diffRawMeans,2)}
Normalized gain (gain of averages)	${roundMe(normalizedGain_goa,2)*100}%
Normalized gain (average of gains on matched data)	${roundMe(normalizedGain_aog,2)*100}%
Normalized change on matched data	${roundMe(normalizedChange,2)*100}%
Effect size	${roundMe(effectSize,2)}	${showEffect}

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calculateGain(row['pre-score'],row['post-score']))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":62,"value":"high_variance_dataset_mod = addColumn(high_variance_dataset, 'gain', row => calculateGain(row['pre-score'],row['post-score']))","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"df_mean = d3.mean(high_pre_score_dataset,d => d['pre-score'])\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"selectedDataset","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"currentDataset = {\n switch (selectedDataset) {\n case 'chance_change_dataset':\n return modData(chance_change_dataset);\n case 'high_pre_score_dataset':\n return modData(high_pre_score_dataset);\n case 'high_variance_dataset':\n return modData(high_variance_dataset);\n case 'include_extremes_dataset':\n return modData(include_extremes_dataset);\n case 'large_effect_dataset':\n return modData(large_effect_dataset);\n case 'missing_dataset':\n return modData(missing_dataset);\n case 'negative_gain_dataset':\n return modData(negative_gain_dataset);\n case 'no_change_dataset':\n return modData(no_change_dataset);\n case 'outliers_dataset':\n return modData(outliers_dataset);\n case 'random_variation_dataset':\n return modData(random_variation_dataset);\n case 'small_effect_dataset':\n return modData(small_effect_dataset);\n }\n}\n\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":14,"value":"viewof selectedDataset = Inputs.select(datasets,\n \n {label: \"Datasets\"});","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":275,"value":"$${textcolor('Pre-Score',\"rgba(0, 0, 139, 0.7)\")} and ${textcolor('Post-Score',\"rgba(255, 165, 0, 0.7)\")}","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"plottitle","database":"$undefined"},{"id":220,"value":"histogram = Plot.plot({\n round: true,\n title: plottitle, \n \n \n marks: [\n Plot.rectY(currentDataset, Plot.binX({y: \"count\"}, {x: \"pre-score\", fill: \"rgba(0, 0, 139, 0.7)\", insetLeft: 4, mixedBlendMode : \"multiply\", thresholds:\"freedman-diaconis\"})),\n Plot.rectY(currentDataset, Plot.binX({y: \"count\"}, {x: \"post-score\",fill: \"rgba(255, 165, 0, 0.7)\", insetRight: 4,mixedBlendMode : \"multiply\", thresholds:\"freedman-diaconis\"})),\n Plot.ruleY([0])\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":294,"value":"$49","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"results","database":"$undefined"},{"id":320,"value":"showEffect = \n{\n if (Math.abs(effectSize) < 0.1) {\n return html`

The effect size is considered ${textcolor('trivial',\"red\")}.

`;\n } else if (Math.abs(effectSize) >= 0.1 && Math.abs(effectSize) < 0.2) {\n return html`

The effect size is considered ${textcolor('small',\"black\")}.

`;\n }\n else if (Math.abs(effectSize) >= 0.2 && Math.abs(effectSize) < 0.5) {\n return html`

The effect size is considered ${textcolor('moderate',\"orange\")}.

`;\n } else {\n return html`

The effect size is considered ${textcolor('large',\"green\")}.

`;\n }\n} \n\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":16,"value":"meanPreScore = {\n \n return d3.mean(currentDataset, d => d['pre-score']);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":44,"value":"stdPreScore = {\n \n return d3.deviation(currentDataset, d => d['pre-score']);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":39,"value":"meanPostScore = {\n \n return d3.mean(currentDataset, d => d['post-score']);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"stdPostScore = {\n \n return d3.deviation(currentDataset, d => d['post-score']);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":41,"value":"diffRawMeans = meanPostScore - meanPreScore","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":50,"value":"normalizedGain_goa= diffRawMeans / (100 - meanPreScore)","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":65,"value":"normalizedGain_aog = d3.mean(matchedData(false),d=>d['gain'])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":194,"value":"normalizedChange = d3.mean(matchedData(true),d=>d['change'])","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":216,"value":"effectSize = (d3.mean(matchedData(false),d=>d['post-score']) - d3.mean(matchedData(false),d=>d['pre-score']))/\n( \n ((d3.deviation(matchedData(false), d => d['pre-score']))+\n (d3.deviation(matchedData(false), d => d['post-score'])))\n /2); ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"datasets = [\n \"chance_change_dataset\",\n \"high_pre_score_dataset\",\n \"high_variance_dataset\",\n \"include_extremes_dataset\",\n \"large_effect_dataset\",\n \"missing_dataset\",\n \"negative_gain_dataset\",\n \"no_change_dataset\",\n \"outliers_dataset\",\n \"random_variation_dataset\",\n \"small_effect_dataset\"\n];","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":56,"value":"function addColumn(tableData, newColumnName, newColumnFunction) {\n return tableData.map(row => {\n let returnObject = row;\n returnObject[newColumnName] = newColumnFunction(row)\n return returnObject\n })\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":119,"value":"function modData(dd) {\n let newdd = addColumn(dd, 'gain', row => calculateGain(row['pre-score'],row['post-score']));\n newdd = addColumn(newdd, 'change', row => calculateChange(row['pre-score'],row['post-score']));\n return newdd\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":58,"value":"function calculateGain(pre, post) {\n let ret = 0;\n if (pre!=100)\n {\n ret = (post-pre)/(100-pre);\n }\n return ret;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":197,"value":"function calculateChange(pre, post) {\n let ret = 0;\n if (post>pre)\n {\n ret = (post-pre)/(100-pre);\n }\n else {\n ret = (post-pre)/pre;\n }\n return ret;\n}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"matchedData()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":68,"value":"function matchedData(drop) {\n const isNotNullOrNaN = value => value !== null && !isNaN(value);\n let filteredTable = currentDataset.filter(row =>\n Object.values(row).every(isNotNullOrNaN)\n); \n \nif (drop == true){\n \n filteredTable = filteredTable.filter(row =>\n (Object.values(row)['pre-score']!=0 && Object.values(row)['post-score']!=0) && (Object.values(row)['pre-score']!=100 && Object.values(row)['post-score']!=100)\n);\n} \n \nreturn filteredTable;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":77,"value":"

--------TABLES----------

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":207,"value":"matchedData(true)\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":209,"value":"matchedData(false)\n","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"high_pre_score_dataset = await FileAttachment(\"high_pre_score_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"high_pre_score_dataset","database":"$undefined"},{"id":24,"value":"high_variance_dataset = await FileAttachment(\"high_variance_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"high_variance_dataset","database":"$undefined"},{"id":122,"value":"outliers_dataset = await FileAttachment(\"outliers_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"outliers_dataset","database":"$undefined"},{"id":99,"value":"chance_change_dataset = await FileAttachment(\"chance_change_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"chance_change_dataset","database":"$undefined"},{"id":102,"value":"include_extremes_dataset = await FileAttachment(\"include_extremes_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"include_extremes_dataset","database":"$undefined"},{"id":104,"value":"large_effect_dataset = await FileAttachment(\"large_effect_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"large_effect_dataset","database":"$undefined"},{"id":106,"value":"missing_dataset = await FileAttachment(\"missing_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"missing_dataset","database":"$undefined"},{"id":108,"value":"negative_gain_dataset = await FileAttachment(\"negative_gain_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"negative_gain_dataset","database":"$undefined"},{"id":109,"value":"no_change_dataset = await FileAttachment(\"no_change_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"no_change_dataset","database":"$undefined"},{"id":110,"value":"random_variation_dataset = await FileAttachment(\"random_variation_dataset.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"random_variation_dataset","database":"$undefined"},{"id":111,"value":"small_effect_dataset = await FileAttachment(\"small_effectsize_dataset.csv\").csv({typed: \"auto\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"small_effect_dataset","database":"$undefined"}],"files":"$W4a","stdlib":"1"}} 24:null