透過您的圖書館登入
IP:18.190.153.51
  • 期刊

盧 - 尼神經心理測驗組之中文修訂與常模建立研究

The Chinese Revision and the Norm Development of Luria-Nebraska Neuropsychological Battery

若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


本研究乃參照原測驗編製者的想法與批評者的論點,將盧–尼神經心理測驗組修訂為中文適用的版本(LNNB-C)。研究目標:其一,各題項的翻譯、修訂,以及編製。其二,以實證資料,進行各題項的項目分析。其三,建立地區常模與臨界水準,並討論人口變項因素對各臨床量尺分數的影響。其四:討論臨界水準的鑑別效度。研究成果:修訂版仍為十一個臨床量尺,共270個題項。經難度分析與鑑別力分析後,LNNB-C共計更改110個題項的切點;這樣的修訂幅度與希臘版(LNNB-G)相近。之後,以全部控制組在各臨床量尺之總分,來建立T分數常模與臨界水準。此預估公式,與LNNB題本-I、題本-II,以及LNNB-G的公式都十分接近。此外,發現教育年數、年齡,以及性別三背景變項對各臨床量尺的影響力不盡相同,教育年數在十一個臨床量尺中都達顯著;而年齡只在六個量尺,性別只在三個量尺上達顯著。結論:此修訂研究使LNNB-C具有臨床價值。建議各分量尺應可使用個別的臨界水準的計算公式來預估受試者的功能。最後,在分量尺層次的鑑別效度上,本研究發現無論採個別量尺或平均量尺的臨界水準為判準,都不影響區辨腦傷組的命中率,只影響正常組的命中率。

並列摘要


The Luria-Nebraska Neuropsychological Battery (LNNB) is a comprehensive assessment system based on Luria's theory of functional systems of the brain. It remains as the most popular neuropsychological battery across different cultures in past 20 years. This study was to develop a standardized Chinese version of the LNNB on the basis of Luria's theory and the critics' viewpoints. The study have four objectives: (1) to translate and adapt the original test battery into the Chinese language, (2) to conduct item analysis and convert raw scores to scale scores, (3) to establish local norm and total critical level prediction formula, and to derive individual critical level prediction formula for each clinical scale, (4) to compare the differential validity of two kinds of formulas. The new version was evaluated for its representativeness, appropriateness, as well as clarity of test items. The final Chinese version still had 11 clinical scales which consisted of 270 items, called ' LNNB-C'. LNNB-C was then administered to 75 normal controls and 47 brain-damaged patients. Based on test results, new cutoff points of impaired scores for scoring LNNB-C items were established. Overall, new cutoff points for 110 items were established. The number of revised items was similar to the Greek version of the LNNB. Normative data were developed for all 11 clinical scales based on the scores of LNNB-C with 130 normal controls. The critical level prediction formula was derived by a linear multiple regression analysis, with age and education as the independent variables and the mean of T-scores of all clinical scales as the dependent variable. This total-formula of LNNB-C was found to be similar to American and Greek's. In addition, age, education, and sex were found to have differential effects on performance of different clinical scales. Individual-formulas were thus derived separately for different critical scales of LNNB-C. At last, using individual-formula to differentiate patients from controls didn't raise the sensitivity, but it did raise the specificity a little.

延伸閱讀