In this conceptual replication of Sparks and Dale ([2023]. The prediction from MLAT to L2 achievement is largely due to MLAT asessment of underlying L1 abilities. Studies in Second Language Acquisition, 1–25) utilizing a dataset previously reported by Sparks et al. ([2009]. Long-term relationships among early L1 skills, L2 aptitude, L2 affect, and later L2 proficiency. Applied Psycholinguistics, 30, 725–755.), L1 achievement scores over 1st–5th grades and L2 aptitude scores from the Modern Language Aptitude Test (MLAT) in 9th grade were examined as predictors of L2 achievement for U.S. secondary students completing L2 courses in 9th and 10th grades. The study’s focus was on the uniqueness and efficiency of MLAT with respect to measuring L1 achievement in predicting L2 achievement. All L1 measures and MLAT predicted L2 literacy and language, and L1 measures predicted MLAT scores. Word decoding was the strongest overall L1 predictor, though there was variation across the L2 measures. The unique contribution of MLAT was modest, as the majority of total prediction (77–86%) was due to L1 measures. The efficiency of MLAT in capturing predictive variance from L1 abilities was moderately high (median ∼73%) but variable across the L1 and L2 measures. Findings are generally consistent with those of Sparks and Dale (2023) showing that prediction from MLAT to L2 is largely due to MLAT’s assessment of L1 abilities, even though a substantial amount of L2 prediction-relevant L1 variance is missed by MLAT.

在 Sparks 和 Dale 的概念复制中（[2023]。从 MLAT 到 L2 成就的预测很大程度上是由于 MLAT 对潜在 L1 能力的评估。第二语言习得研究，1-25）利用 Sparks 等人先前报告的数据集。（[2009]。早期 L1 技能、L2 能力、L2 情感和后来的 L2 熟练程度之间的长期关系。应用心理语言学，30, 725–755。）、一年级至五年级的 L1 成绩分数和L2能力分数9年级现代语言能力测试 (MLAT) 中的得分被检查为美国中学生在 9年级和 10年级完成 L2 课程的 L2 成绩的预测因素。该研究的重点是 MLAT 在衡量 L1 成绩以预测 L2 成绩方面的独特性和效率。所有 L1 测量和 MLAT 都预测 L2 读写能力和语言，L1 测量预测 MLAT 分数。单词解码是最强的整体 L1 预测因子，尽管 L2 度量之间存在差异。MLAT 的独特贡献不大，因为总体预测的大部分 (77-86%) 是由于 L1 措施。MLAT 在捕获 L1 能力的预测方差方面的效率较高（中位数~73%），但在 L1 和 L2 测量中存在差异。研究结果与 Sparks 和 Dale (2023) 的结果基本一致，表明从 MLAT 到 L2 的预测很大程度上是由于 MLAT 对 L1 能力的评估，尽管 MLAT 遗漏了大量与 L2 预测相关的 L1 方差。