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Corrigendum: Training Recollection in Healthy Older Adults: Clear Improvements on the Training Task, but Little Evidence of Transfer

机译:更正:健康老年人的训练记忆:训练任务的明显改善,但转移的证据很少

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Due to errors that were noticed recently in the California Verbal Learning Test-II (CVLT-II) scoring software version 1.0.0 with the software occasionally mis-counting items, we have recalculated all CVLT scores and re-run all relevant analyses. This update was completed with a software update (to version 1.0.2) (see http://pearsonassessmentsupport.com/support/index.php?View=entry&EntryID=741 ). The majority of the statistical effects remain the same as in the original publication, except for two. These are: Section: Predictors of training gains For the regression, the initial analysis showed that adding the additional variables led to a significant increase in prediction. Now this result is marginally significant, at p = 0.056. The initial increase was by 45% and now it is by 44%. In the same regression, Model 2 Digit Span Backward was initially statistically significant at p = 0.049, but after corrections now p = 0.058. We state that this effect is marginally significant. Because of this initially significant effect, in a partial correlation conducted later on section entitled: Do those participants who show the greatest gains in training also show the greatest improvements on the transfer tasks? , we controlled for Digit Span backwards scores. We chose to still control for these scores, given that the significant test is so close to the cut-off. No other effect changes were observed in any of our analyses involving the CVLT. The values, however, have changed slightly and we have updated those values in Tables 3 , 4 of the manuscript. Table 3 Pre- and post-training scores on transfer measures . Recognition control Recollection training p -value Pre Post Pre Post M (SD) M (SD) M (SD) M (SD) Group Time Group × Time CVLT-II List 1-5 proportion accuracy ~(a) 0.77 (0.10) 0.76 (0.13) 0.70 (0.15) 0.72 (0.12) 0.11 0.86 0.49 CVLT-II SD free proportion accuracy ~(a) 0.80 (0.16) 0.81 (0.18) 0.71 (0.22) 0.75 (0.21) 0.15 0.23 0.43 CVLT-II LD free proportion accuracy ~(a) 0.76 (0.24) 0.81 (0.26) 0.76 (0.21) 0.78 (0.23) 0.86 0.50 0.50 CVLT-II total across list intrusions 0.01 (0.02) 0.05 (0.09) 0.05 (0.12) 0.06 (0.15) 0.24 0.15 0.38 BVMT-R T1-3 proportion accuracy 0.69 (0.21) 0.71 (0.21) 0.71 (0.11) 0.72 (0.13) 0.70 0.46 0.97 BVMT-R DR proportion accuracy 0.83 (0.15) 0.84 (0.14) 0.83 (0.13) 0.83 (0.13) 0.94 0.73 0.95 Digit Span Forward ~(b) 10.60 (2.01) 10.20 (1.40) 10.23 (1.72) 10.70 (1.74) 0.89 0.87 0.04 ~(*) Digit Span Backward ~(b) 7.45 (2.42) 8.90 (2.36) 7.23 (2.33) 7.97 (2.63) 0.35 0.003 ~(**) 0.31 Source memory spatial % ~(c) 62.50 (15.31) 59.19 (14.20) 58.15 (13.25) 67.39 (12.10) 0.54 0.34 0.047 ~(*) Source memory temporal % ~(d) 66.91 (15.11) 64.33 (11.43) 63.10 (13.67) 65.77 (17.52) 0.09 0.99 0.36 Source memory voice % ~(d) 72.79 (16.82) 77.57 (17.12) 75.60 (13.82) 73.51 (17.66) 0.89 0.61 0.20 Source memory item % ~(d) 94.26 (4.40) 93.24 (7.22) 92.07 (9.22) 90.87 (10.99) 0.37 0.35 0.94 MMQ contentment (/72) 39.33 (12.08) 42.38 (10.77) 40.73 (12.00) 41.73 (9.87) 0.90 0.10 0.40 MMQ ability (/80) 46.1 (9.20) 47.60 (9.28) 48.00 (10.78) 49.41 (10.72) 0.49 0.24 0.97 MMQ strategy (/76) 41.10 (8.74) 38.0 (7.21) 35.93 (10.92) 35.20 (8.31) 0.09 0.14 0.36 CVLT-II List 1-5, Average proportion accuracy on Trials 1-5; CVLT-II SD, CVLT-II Short Delay; CVLT-II LD, CVLT-II Long Delay; BVMT-R T1-3, Average proportion accuracy on Trials 1-3; BVMT-R DR, BVMT-R Delayed Recall. MMQ, Multifactorial Memory Questionnaire . a Sample size (n = 21, n = 29) . b Sample size (n = 20, n = 30) . c Sample size (n = 17, n = 23) . d Sample size (n = 17, n = 21) . * p < 0.05; ** p < 0.01 . Table 4 Intercorrelations for Rank, MoCA, CVLT-II Long Delay Free Recall Proportion Accuracy (CVLT LD), and Digits Backward at baseline . Rank Age YOE MoCA Digit Span Forward Digit Span Backward CVLT-II LD Free Rank 1.00 0.311 ~(*) –0.201 –0.472 ~(**) –0.049 –0.367 ~(*) –0.392 ~(*) Age 1.00 0.251 –0.155 –0.066 –0.281 –0.225 YOE 1.00 0.266 0.189 0.038 0.259 MoCA 1.00 0.263 0.227 0.353 ~(*) Digit Span Forward 1.00 0.435 ~(**) 0.058 Digit Span Backward 1.00 –0.059 CVLT-II LD 1.00 Hierarchical Regression Analysis summary for Age, Years of Education (YOE), MoCA, CVLT-II Long Delay Free Recall (CVLT LD Free), Digits Forward, and Digits Backward at baseline predicting rank . * p < 0.05 ** p < 0.01 . Model Variable B SEB Beta p -value 1 Age 0.612 0.286 0.386 0.041 YOE –0.847 0.513 –0.297 0.110 2 Age 0.236 0.287 0.149 0.421 YOE –0.346 0.509 –0.122 0.503 MOCA –1.024 0.600 –0.305 0.101 Digit span forward 1.231 0.917 0.240 0.192 Digit span backward –1.403 0.703 –0.371 0.058 CVLT LD Free –10.800 7.627 –0.256 0.170 Model 1. R~(2)= 0.18, R Adj = 0.12 (N = 29, p = 0.069) . Model 2. R~(2)= 0.44, R Adj = 0.29 (N = 29, p = 0.026) . Overall, given the changes affect only one of our outcome measures and the fact that the results with this outcome measure have changed only for two statistical tests, we believe that the correction does not affect the scientific validity of the resul
机译:由于最近在加利福尼亚州口语学习测验II(CVLT-II)评分软件1.0.0版中发现的错误以及该软件偶尔对项目的错误计数,我们重新计算了所有CVLT分数并重新运行了所有相关分析。此更新是通过软件更新(至1.0.2版)完成的(请参阅http://pearsonassessmentsupport.com/support/index.php?View=entry&EntryID=741)。除了两个统计效果外,大多数统计效果与原始出版物相同。它们是:部分:培训收益的预测因素对于回归,初步分析表明,添加其他变量会导致预测的显着增加。现在,该结果微不足道,p = 0.056。最初的增长是45%,现在是44%。在同一回归中,模型2后退数字范围最初在p = 0.049时具有统计学显着性,但现在经过校正后p = 0.058。我们指出,这种影响微不足道。由于这种最初的显着效果,因此在稍后的标题为“部分相关性”的部分进行了部分关联:在培训中表现出最大收获的那些参与者,在转移任务上是否也表现出了最大的改进? ,我们控制了数字跨度倒数得分。鉴于重大测试非常接近临界值,我们选择仍然控制这些分数。在我们涉及CVLT的任何分析中,均未观察到其他影响变化。但是,这些值略有变化,我们在手稿的表3、4中更新了这些值。表3转移措施的训练前和训练后分数识别控制回忆训练p值前后前后M(SD)M(SD)M(SD)M(SD)组时间组×时间CVLT-II列表1-5比例精度〜(a)0.77(0.10)0.76 (0.13)0.70(0.15)0.72(0.12)0.11 0.86 0.49 CVLT-II SD无比例精度〜(a)0.80(0.16)0.81(0.18)0.71(0.22)0.75(0.21)0.15 0.23 0.43 CVLT-II LD无比例准确度〜(a)0.76(0.24)0.81(0.26)0.76(0.21)0.78(0.23)0.86 0.50 0.50列表入侵总数CVLT-II 0.01(0.02)0.05(0.09)0.05(0.12)0.06(0.15)0.24 0.15 0.38 BVMT-R T1-3比例精度0.69(0.21)0.71(0.21)0.71(0.11)0.72(0.13)0.70 0.46 0.97 BVMT-R DR比例精度0.83(0.15)0.84(0.14)0.83(0.13)0.83(0.13)0.94 0.73 0.95向前数字跨度〜(b)10.60(2.01)10.20(1.40)10.23(1.72)10.70(1.74)0.89 0.87 0.04〜(*)向后数字跨度〜(b)7.45(2.42)8.90(2.36)7.23(2.33) )7.97(2.63)0.35 0.003〜(**)0.31源存储器空间%〜(c)62.50(15.31)59.19(14.20)58.15(13.25)67.39(12.10)0。 54 0.34 0.047〜(*)源内存时间%〜(d)66.91(15.11)64.33(11.43)63.10(13.67)65.77(17.52)0.09 0.99 0.36源内存语音%〜(d)72.79(16.82)77.57(17.12) 75.60(13.82)73.51(17.66)0.89 0.61 0.20源存储项%〜(d)94.26(4.40)93.24(7.22)92.07(9.22)90.87(10.99)0.37 0.35 0.94 MMQ满足度(/ 72)39.33(12.08)42.38( 10.77)40.73(12.00)41.73(9.87)0.90 0.10 0.40 MMQ能力(/ 80)46.1(9.20)47.60(9.28)48.00(10.78)49.41(10.72)0.49 0.24 0.97 MMQ策略(/ 76)41.10(8.74)38.0( 7.21)35.93(10.92)35.20(8.31)0.09 0.14 0.36 CVLT-II清单1-5,试验1-5的平均比例精度; CVLT-II SD,CVLT-II短延迟; CVLT-II LD,CVLT-II长延时; BVMT-R T1-3,试验1-3的平均比例精度; BVMT-R DR,BVMT-R延迟调用。 MMQ,多因素记忆问卷。样本大小(n = 21,n = 29)。 b样本量(n = 20,n = 30)。 c样本量(n = 17,n = 23)。 d样本量(n = 17,n = 21)。 * p <0.05; ** p <0.01。表4基线之间的等级,MoCA,CVLT-II长时免费召回比例精度(CVLT LD)和后退数字之间的相互关系。排名年龄YOE MoCA数字范围前向数字范围向后CVLT-II LD免费排名1.00 0.311〜(*)–0.201 –0.472〜(**)–0.049 –0.367〜(*)–0.392〜(*)年龄1.00 0.251 –0.155 –0.066 –0.281 –0.225 YOE 1.00 0.266 0.189 0.038 0.259 MoCA 1.00 0.263 0.227 0.353〜(*)向前数字范围1.00 0.435〜(**)0.058向后数字范围1.00 –0.059 CVLT-II LD 1.00年龄的层次回归分析摘要,教育年限(YOE),MoCA,CVLT-II长时免费回拨(CVLT LD Free),前移位数和后退位数处于基线预测排名。 * p <0.05 ** p <0.01。模型变量B SEB Beta p值1年龄0.612 0.286 0.386 0.041 YOE –0.847 0.513 –0.297 0.110 2年龄0.236 0.287 0.149 0.421 YOE –0.346 0.509 -0.122 0.503 MOCA –1.024 0.600 –0.305 0.101数字范围向前1.231 0.917 0.240 0.192数字范围向后–1.403 0.703 –0.371 0.058 CVLT LD Free –10.800 7.627 –0.256 0.170模型1. R〜(2)= 0.18,R Adj = 0.12(N = 29,p = 0.069)。模型2。R1(2)= 0.44,R Adj = 0.29(N = 29,p = 0.026)。总体而言,鉴于这些更改仅影响我们的一项结果指标,并且此结果指标的结果仅针对两个统计检验发生了变化,因此,我们认为更正不会影响结果的科学有效性

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