Over 1000 students over the course of four semesters were given the option of taking an introductory statistics class either by in-person attendance in lectures, augmented by having the recorded lectures available online, or by taking the same class but without the in-person lectures. Roughly equal numbers of students chose each option. As judged purely by scores on computer-graded exams, the all-online students did very slightly better. The causal effect of choosing only online lectures was estimated by adjusting for potential confounders, most importantly the incoming ACT math scores, using multiple regression, stabilized inverse propensity weights, and a doubly-robust method. The three methods gave nearly identical results, not far from the raw score difference. The point estimates of the causal effect of choosing only online lectures remained positive but were very small and not statistically significant. No statistically significant differences were found in preliminary comparisons of effects on females/males, U.S./non-U.S. citizens, freshmen/non-freshman, and lower-scoring/higher-scoring math ACT groups.
翻译:在4个学期中,1000多名学生被允许选择入门统计班,要么通过亲自参加讲座,通过在线提供有记录的讲座,或者通过同一班,但又不进行面对面的讲座,来增加入门统计班,学生人数大致相等。按照计算机级考试的分数来判断,全在线学生的成绩要好得多。只选择在线讲座的因果关系是通过调整潜在混杂者来估计的,其中最重要的是即将到来的ACT数学分数,使用多重回归,稳定反向倾向重量,以及双曲线法。三种方法的结果几乎完全相同,与原始分数差异不相去甚远。只选择在线讲座的因果关系估计仍然是正面的,但很小,统计上没有显著的。在初步比较对女性/男性、美国/非美国公民、新人/非新手和低分数/高分数的ACT数学组的影响方面,没有发现统计上的重大差异。