In summary, mechanisms—the pathways through which a treatment has an effect—are incredibly important. Digital-age experiments can help researchers learn about mechanisms by (1) collecting process data and (2) enabling full factorial designs. The mechanisms suggested by these approaches can then be tested directly by experiments specifically designed to test mechanisms (Ludwig, Kling, and Mullainathan 2011; Imai, Tingley, and Yamamoto 2013; Pirlott and MacKinnon 2016).
ໂດຍສະຫຼຸບແລ້ວ, ກົນໄກ - ເສັ້ນທາງທີ່ຜ່ານການປິ່ນປົວມີຜົນກະທົບແມ່ນມີຄວາມສໍາຄັນຫຼາຍ. ການທົດລອງດິຈິຕອລສາມາດຊ່ວຍນັກຄົ້ນຄວ້າໄດ້ຮຽນຮູ້ກ່ຽວກັບກົນໄກໂດຍ (1) ການເກັບກໍາຂໍ້ມູນຂະບວນການແລະ (2) ເຮັດໃຫ້ການອອກແບບເຕັມຮູບແບບ. ກົນໄກທີ່ແນະນໍາໂດຍວິທີການເຫຼົ່ານີ້ສາມາດທົດສອບໂດຍກົງໂດຍການທົດລອງທີ່ຖືກອອກແບບມາເພື່ອທົດສອບກົນໄກ (Ludwig, Kling, and Mullainathan 2011; Imai, Tingley, and Yamamoto 2013; Pirlott and MacKinnon 2016) .