...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of clinical psychology >Prediction of IQ in the Mayo Older Adult Normative sample using multiple methods.
【24h】

Prediction of IQ in the Mayo Older Adult Normative sample using multiple methods.

机译：使用多种方法预测Mayo老年人标准样本中的智商。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Using the Mayo Older Adult Normative sample (Ivnik et al., 1992) as our database, we developed regression models for estimating premorbid Full Scale (FSIQs), Verbal (VIQs), and Performance (PIQs) IQs for elderly adults. Age, years of education, and sex were the only demographic variables that showed sufficient variability; therefore, they were used as predictor variables in three stepwise procedures. The Mayo Normative FSIQs, VIQs, and PIQs served as the dependent variables. Both education and sex added significantly to the accounting of variance of both FSIQ and VIQ ( p < .001), whereas education ( p < .001) and age ( p < .05) were significant predictors of PIQ. These models produced statistically significant multiple Rs of .54, .58, and .35 ( p < .0001), with standard errors of estimate of 9.02, 8.28, and 10.77 for FSIQ, VIQ, and PIQ, respectively. Estimated FSIQs generated with the present model and the model developed by Barona and colleagues (Barona, Reynolds, & Chastain, 1984) were compared. The correlation between estimated IQs was large, the mean difference between IQs was very small, the standard deviations were nearly equal, and the categorical distributions of the two were similar. Because the Barona model is likely to be familiar to most clinicians, these findings argue in favor of the continued use of the Barona model, even when assessing people older than the WAIS-R normative sample. Extensions of these models to the WAIS-III also are discussed.
机译：我们使用Mayo老年人规范性样本（Ivnik等，1992）作为我们的数据库，开发了回归模型，用于估计老年人的病态前满刻度（FSIQ），口头（VIQ）和表现（PIQs）智商。年龄，受教育年限和性别是唯一显示足够可变性的人口统计学变量。因此，在三个逐步过程中将它们用作预测变量。 Mayo规范FSIQ，VIQ和PIQ用作因变量。教育程度和性别都大大增加了FSIQ和VIQ的方差（p <.001），而教育程度（p <.001）和年龄（p <.05）是PIQ的重要预测指标。这些模型产生的统计显着性Rs为.54，.58和.35（p <.0001），对于FSIQ，VIQ和PIQ而言，标准误的估计值分别为9.02、8.28和10.77。比较了用本模型和Barona及其同事开发的模型（Barona，Reynolds和Chastain，1984年）生成的估计FSIQ。估计智商之间的相关性很大，智商之间的平均差异很小，标准差几乎相等，并且两者的类别分布相似。由于大多数临床医生可能都熟悉Barona模型，因此即使评估评估年龄超过WAIS-R规范样本的人，这些发现也支持继续使用Barona模型。还讨论了将这些模型扩展到WAIS-III。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号