Bell J A, Martindill C F
Nurs Res. 1976 Jan-Feb;25(1):54-7.
Regression equations were computed and cross-validated for predicting nurses' scores on each of the five state board examinations (SBEs). Scores on five National League for Nursing (NLN) achievement tests of 101 nurses who graduated from a baccalaureate program between 1968 and 1972 were used as predictor variables. Stepwise regression analysis was used to compute the equations which were, in turn, used to predict the SBE scores for an independent sample of nurses who graduated in 1973. Cross-validation correlations between the predicted and actual obtained scores of the 1973 graduates ranged from .64 to .81. For each equation, the NLN test scores in Nursing of Children and Obstetric Nursing were consistently the best indicators of performance on the SBEs. Additionally, a factor analysis indicated that the SBEs do not measure independent entities, but that all five examinations have high loadings on the same factor. The results suggest that nursing programs should develop and validate prediction equations to assist nurses in preparing for SBEs.
计算并交叉验证了回归方程，以预测护士在五项州立委员会考试（SBE）中的各项成绩。将1968年至1972年间从学士学位课程毕业的101名护士在五项全国护理联盟（NLN）成绩测试中的分数用作预测变量。采用逐步回归分析来计算方程，这些方程随后被用于预测1973年毕业的护士独立样本的SBE分数。1973年毕业生预测分数与实际获得分数之间的交叉验证相关性在0.64至0.81之间。对于每个方程，儿童护理和产科护理方面的NLN测试分数始终是SBE成绩的最佳指标。此外，因子分析表明，SBE并非衡量独立的实体，而是所有五项考试在同一因子上都有高载荷。结果表明，护理项目应开发并验证预测方程，以帮助护士备考SBE。
