Exemplar: Determining the Best Practices for EMA Studies

Detailed Summary

Ecological momentary assessment (EMA) is a measurement methodology that utilizes the repeated collection of real-time data on participants' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-report can be burdensome and disruptive to participants. Compliance with EMA protocols is important for accurate, unbiased sampling, yet there is no "gold standard" for EMA study design. In the present study, the investigators aim to use a factorial design to identify the optimal components, or combinations of components, for achieving the highest compliance rates for smartphone-based ecological momentary assessments (EMAs). Participants will be randomized into 1 of 32 conditions in a 2x2x2x2x2 design (i.e., number of questions per EMA survey \[15 vs. 25\] x number of EMAs per day \[2 vs. 4\] x EMA prompting schedule \[random vs. fixed times\]) x payment type \[per EMA vs. based on percentage of EMAs completed\] x order of EMA item question types \[i.e., slider type first 2 weeks vs. Likert-type questions first 2 weeks\]). All participants will complete EMAs for 4 weeks. The effect of each factor on EMA compliance will be examined, as well as the effects of interactions on EMA compliance. The investigators will also examine within and between-subjects factors that influence response rates, and 2) contextual features such as environment and mood that may be associated with better compliance and participant engagement. The results of this study will have broad applications for developing best practices guidelines for future studies utilizing EMA methodologies.

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