=== 描述统计（主要分析样本，单位：T1 SD）===
  near: 对照期增益 M = 0.005, 训练期增益 M = 0.436
  far: 对照期增益 M = 0.082, 训练期增益 M = 0.182
  crit: 对照期增益 M = 0.073, 训练期增益 M = 0.912

=== 操纵检查：准则任务（dual n-back）===
  准则任务: n = 194, δ = 0.839, 95% CI [0.664, 1.015], t(193) = 9.44, p(单侧) < .001, d_z = 0.68, 95% CI [0.52, 0.83]

=== H1（主要）：近迁移合成分 ===
  近迁移: n = 198, δ = 0.434, 95% CI [0.321, 0.547], t(197) = 7.57, p(单侧) < .001, d_z = 0.54, 95% CI [0.39, 0.69]; TOST(±0.25) p = .999
  判据：H1 得到支持

=== H2（次要，固定顺序门控：仅当 H1 得到支持时做验证性解释）===
  远迁移: n = 202, δ = 0.100, 95% CI [-0.014, 0.214], t(201) = 1.73, p(单侧) = .043, d_z = 0.12, 95% CI [-0.02, 0.26]; TOST(±0.25) p = .005
  门控：H2 作为验证性检验解释
  H2b 等效检验（±0.25）：等效；与显著性同时成立 → 效应小于 SESOI

=== 稳健性 1：全部有 T1–T3 数据者（不论依从性）===
  近迁移（全样本）: n = 218, δ = 0.417, 95% CI [0.310, 0.524], t(217) = 7.69, p(单侧) < .001, d_z = 0.52, 95% CI [0.38, 0.66]; TOST(±0.25) p = .999
  远迁移（全样本）: n = 222, δ = 0.083, 95% CI [-0.027, 0.192], t(221) = 1.49, p(单侧) = .069, d_z = 0.10, 95% CI [-0.03, 0.23]; TOST(±0.25) p = .001

=== 稳健性 2：任务层面线性混合模型（近迁移，T1–T3，含版本固定效应）===
  对比 (T3−T2)−(T2−T1) = 0.390, SE = 0.048, z = 8.11, p(单侧) < .001（单位：任务 T1 SD）

=== 探索性：顺序与期望 ===
  区块顺序 F 检验 p = .183；版本序列 p = .597；期望差 b = 0.012, p = .565
  期望差（训练期 − 对照期）M = -0.08

=== 探索性：保持（T4 − T3）===
  近迁移 M = -0.001; 远迁移 M = -0.052
