Demographically corrected norms for the California Verbal Learning Test
Demographically corrected norms for the California Verbal Learning Test
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DOI：
10.1076/1380-3395(200002)22:1;1-8;ft080
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发表时间：
2000-02-01
影响因子：
2.2
通讯作者：
Heaton, RK
中科院分区：
文献类型：
--
作者：
Norman, MA;Evans, JD;Heaton, RK
加州语言学习测试（CVLT）旨在量化语言学习、记忆和检索的组成部分。本研究使用多元回归分析来校正CVLT性能测量的人口统计学特征。共906名受试者，其中白种人549人（61%），非洲裔357人（39%）。年龄、教育程度、种族和性别是CVLT几个指标的显著预测因子，包括总召回词、试验1、试验5、列表B、短延迟无召回（SDFR）和长延迟无召回（LDFR）。对672名受试者的基本样本进行人口统计学校正后的t分数计算，并对234名独立受试者进行交叉验证。提供表格和回归方程，将原始分数转换为根据年龄、性别、教育程度和种族进行校正的t分数。根据年龄和教育水平计算经人口统计学校正的识别可判别性临界值。为了提供重要记忆过程的一些指标，我们还计算了检索指标、短延迟遗忘指标和长延迟遗忘指标，并给出了它们的规范性信息。
The California Verbal Learning Test (CVLT) is designed to quantify components of verbal learning, retention and retrieval. The present study used multiple regression analyses to correct for demographic characteristics on CVLT performance measures. There were 906 subjects, of whom 549 were Caucasians (61%) and 357 were African Americans (39%). Age, education, ethnicity, and gender were found to be significant predictors of performance on several CVLT indices, including Total Words Recalled, Trial 1, Trial 5, List B, Short Delay Free Recall (SDFR), and Long Delay Free Recall (LDFR). Demographically corrected T-scores were calculated for a base sample of 672 subjects and cross-validated on 234 separate subjects. Tables and regression equations are offered to convert raw scores into T-scores corrected for age, gender, education, and ethnicity. Demographically corrected Recognition Discriminability cutoff scores were calculated for age and education levels. In order to provide some indices of important memory processes, we also computed indices of retrieval, Short-Delay forgetting and Long-Delay forgetting and present normative information for them.