Instruction: Outline an experimental or quasi-experimental design that can differentiate causal directions between two interacting variables.
Context: The question assesses the ability to design studies that can unveil complex interactions and causal directions between variables.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
Firstly, let's clarify our variables. User engagement can be defined as the amount of time users spend on the platform watching content, measured in hours per week. Content personalization, on the other hand, refers to the algorithm's ability to suggest content based on a user's past viewing history and preferences, measured by the click-through rate (CTR) of suggested content.
To tackle the bidirectional causality, we'll set up a two-phase experimental design. In the first phase, we manipulate the level of content personalization to see its effect on user engagement. We create three groups: a control group with no personalization, a low personalization group, and a high personalization group. By varying the degree of personalization and measuring...
medium
hard
hard