小提琴图不是装饰:把『分布形状』变成可拒绝的三问
【锚点】这一讲只钉一个判断:【小提琴图的价值不是把箱线图变好看,而是把【分布形状】【中心位置】【尾部风险】拆成可拒绝的三问。】 【流程节点链路】【原始观测】→【分位数/核密度分解】→【散点或残差叠加】→【效应量与置信区间】→【可拒绝报价】→【复现检查】。 【显式】箱线图给中位数和四分位距,小提琴图给密度轮廓;叠加散点后能看见重尾、双峰、离群点。若只报均值±SD,就默认了对称、单峰、无结构。…
【锚点】这一讲只钉一个判断:【小提琴图的价值不是把箱线图变好看,而是把【分布形状】【中心位置】【尾部风险】拆成可拒绝的三问。】 【流程节点链路】【原始观测】→【分位数/核密度分解】→【散点或残差叠加】→【效应量与置信区间】→【可拒绝报价】→【复现检查】。 【显式】箱线图给中位数和四分位距,小提琴图给密度轮廓;叠加散点后能看见重尾、双峰、离群点。若只报均值±SD,就默认了对称、单峰、无结构。…
【锚点】这一篇只钉一个判断:基金书里真正值钱的不是引用数量或网络中心性,而是关键引用能否承担【可拒绝位置】:如果某个证据出现,方案就不成立。 【显式】Garfield 的引文索引让引用可数,Hirsch 的 h-index 让作者可排名,PageRank 让网络中心性可算。这些工具一眼可见,但它们只回答【被提及次数】,不回答【被用来做什么】。 【流程节点链路】选择候选文献 →…
【锚点】这篇只钉一个判断:【显著性星号不是证据强度,而是把连续不确定性压成二元标签的视觉装置;越靠近 0.05,越应该展示效应量与置信区间,而不是加星。】 【显式】一眼可见的是论文表格里 d=0.20, p=0.048, ;旁边 d=0.19, p=0.054, 无星。读者容易把 读成“有效”,无星读成“无效”。 【流程节点链路】原始测量 → 样本量与组间差异 → 标准误 → t 统计量 → p…
【锚点】这一篇只钉一个判断:【可复现性的瓶颈不是数据公开,而是分析路径公开;没有决策日志,开放数据只是让审稿人更难找到你藏起来的选择。】 【流程节点链路】起点【研究者拿到原始数据】→ 中间节点【在缺失值、协变量、亚组、检验方向、效应量指标之间选择】→ 终点【公开数据+代码仍可能只公开一条成功路径,而非全部可辩护路径】 【显式】Open Science Collaboration 2015…
【锚点】这一篇只钉一个判断:【田野伦理的核心不是『有没有同意书』,而是任意时刻能否重建【授权状态】】。 【显式】很多田野项目把【知情同意】放在附录:日期、签名、版本。它像一张【收据】,但无法回答:【录音】是否覆盖后来加入的访谈对象?【照片】是否被用于教学展示?【数据脱敏】后是否仍可能识别? 【隐式】同意不是静态事件,而是【授权状态机】:【初始同意】 → 【补充说明】 → 【撤回/限制】 →…
【锚点】这一篇只钉一个判断:【你读到的显著效应量,是『跨过显著性门槛』之后的条件幸存者,它系统性大于真实效应量】。这叫【赢家诅咒】(winner's curse),统计上叫【Type M 误差】(Magnitude error)。它不是 p-hacking,不是造假,是低功效研究的数学必然。 【显式】给一个可手算的例子。真实效应 δ=0.2(Cohen's d,小效应),σ 归一化为 1,每组…
【锚点】这一篇只教一个动作:【用档案里的年龄字段做人口、劳动、教育分析前,先检查年龄堆叠(age heaping),把申报误差当成数据生成机制,而不是随机噪声。】 【显式】1850年美国人口普查的年龄字段,不是现代身份证式的精确值,而是户主申报、抄录员转录、事后编码的产物。把年龄直方图画出来,常见峰值落在【10】【20】【30】等整数年,而不是均匀分布。…
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