Balogun J A, Karacoloff L A, Farina N T
Phys Ther. 1986 Jun;66(6):976-80. doi: 10.1093/ptj/66.6.976.
We undertook this retrospective study to determine the best predictors of academic achievement in a baccalaureate physical therapy program. The files of 83 matriculated students were reviewed, and data on the following admission requirements were compiled: 1) preprofessional grade point averages (GPAs), 2) scores on the Allied Health Professions Admission Test, 3) scores on the written composition (ESSAY), 4) preprofessional faculty recommendation scores, 5) ratings by a physical therapist after a 70-hour clinical observation before the professional training, and 6) personal interview ratings. Data were analyzed with multiple and stepwise regression models using the admission data as independent variables to predict academic achievement (QPAPT) at the end of the two-year professional program. When all independent variables were included in the multiple regression equation, 53% of the variance in the QPAPT was explained (p less than .0001). The stepwise regression revealed that the best predictors of the QPAPT were the GPA (accounted for 40% of variance) and the ESSAY (accounted for 11% of variance).
我们开展了这项回顾性研究，以确定本科物理治疗专业学业成绩的最佳预测指标。研究回顾了83名入学学生的档案，并收集了以下入学要求的数据：1）专业预科平均绩点（GPA），2）联合健康职业入学考试成绩，3）书面作文（ESSAY）成绩，4）专业预科教师推荐信分数，5）在专业培训前进行70小时临床观察后物理治疗师给出的评分，以及6）个人面试评分。使用入学数据作为自变量，通过多元回归模型和逐步回归模型对数据进行分析，以预测两年制专业课程结束时的学业成绩（QPAPT）。当所有自变量都纳入多元回归方程时，QPAPT中53%的方差得到了解释（p小于0.0001）。逐步回归显示，QPAPT的最佳预测指标是GPA（占方差的40%）和ESSAY（占方差的11%）。
