The validity of the Language ENvironment Analysis (LENA) System was evaluated for Dutch. 216 5-min samples (six samples per age per child) were selected from daylong recordings at 5, 10 and 14 months of age of native Dutch-speaking younger siblings of children with autism spectrum disorder (N = 6) and of typically developing children (N = 6). Two native Dutch-speaking coders counted the amount of adult words (AWC), child vocalisations (CVC) and conversational turns (CT). Consequently, correlations between LENA and human estimates were explored. Correlations were high for AWC at all ages (r = .73 to .81). Regarding CVC, estimates were moderately correlated at 5 months (r = .57) but the correlation decreased at 10 (r = .37) and 14 months (r = .14). Correlations for CT were low at all ages (r = .19 to .28). Lastly, correlations were not influenced by the risk status of the children.

中文翻译：

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验证荷兰语的语言环境分析 (LENA) 系统

对荷兰语的语言环境分析 (LENA) 系统的有效性进行了评估。216 个 5 分钟样本（每个孩子每个年龄 6 个样本）是从 5、10 和 14 个月大的自闭症谱系障碍儿童的母语为荷兰语的弟弟妹妹的全天录音中选择的。ñ= 6) 和正常发育的儿童 (ñ= 6)。两位母语为荷兰语的编码员计算了成人单词 (AWC)、儿童发声 (CVC) 和会话轮换 (CT) 的数量。因此，探索了 LENA 和人类估计之间的相关性。AWC 在所有年龄段的相关性都很高（r= .73 至 .81）。关于 CVC，估计值在 5 个月时呈中度相关（r= .57) 但相关性在 10 (r= .37) 和 14 个月 (r= .14)。CT 的相关性在所有年龄均较低（r= .19 至 .28）。最后，相关性不受儿童风险状况的影响。