Are we making the most of ecological momentary assessment data? A comment on Richardson, Fuller-Tyszkiewicz, O'Donnell, Ling, & Staiger, 2017

The Practicalities and Perils of Ambulatory Assessment's Promise: Introduction to a Special Section

Ambulatory assessment (AA) offers one of the most exciting approaches for opening the dynamic "black box" of adolescents' daily lives. In this introduction, we spotlight AA's surprisingly restricted market share within adolescent scholarship. We describe thorny challenges these intense methods can pose when conducting adolescent research "in situ" and underscore that capturing quality AA data means placing adolescents' developmental stage at the forefront. The novel research reported in this special section speaks to these challenges and underscores the promise of AA for conducting developmentally salient science. The nine articles included in the section span multiple disciplines (Sociology, Psychology, Public Health) and reflect diverse viewpoints, approaches, and theories. All provide multiple novel best-practice strategies for conducting AA scholarship with adolescents.

Ambulatory Assessment of Adolescent Coping: It's a Complicated Process

Scholars have long-called for researchers to treat coping as a process that is measured over an arc of time. Ambulatory assessment (AA) offers an appealing tool for capturing the dynamic process of adolescent coping. However, challenges in capturing the coping process are not altogether circumvented with AA designs. We conducted a scoping review of the AA literature on adolescent coping and draw from 60 studies to provide an overview of the field. We provide critiques of different AA approaches and highlight benefits and costs associated with various types of measurement within AA. We also speak to considerations of participant burden and compliance. We conclude with recommendations for developmental scholars seeking to deploy AA to capture this quintessential process among adolescents.

Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies

Engagement in electronic health (eHealth) and mobile health (mHealth) behavior change interventions is thought to be important for intervention effectiveness, though what constitutes engagement and how it enhances efficacy has been somewhat unclear in the literature. Recently published detailed definitions and conceptual models of engagement have helped to build consensus around a definition of engagement and improve our understanding of how engagement may influence effectiveness. This work has helped to establish a clearer research agenda. However, to test the hypotheses generated by the conceptual modules, we need to know how to measure engagement in a valid and reliable way. The aim of this viewpoint is to provide an overview of engagement measurement options that can be employed in eHealth and mHealth behavior change intervention evaluations, discuss methodological considerations, and provide direction for future research. To identify measures, we used snowball sampling, starting from systematic reviews of engagement research as well as those utilized in studies known to the authors. A wide range of methods to measure engagement were identified, including qualitative measures, self-report questionnaires, ecological momentary assessments, system usage data, sensor data, social media data, and psychophysiological measures. Each measurement method is appraised and examples are provided to illustrate possible use in eHealth and mHealth behavior change research. Recommendations for future research are provided, based on the limitations of current methods and the heavy reliance on system usage data as the sole assessment of engagement. The validation and adoption of a wider range of engagement measurements and their thoughtful application to the study of engagement are encouraged.

Socioeconomically Disadvantaged Adolescents with Elevated Externalizing Symptoms Show Heightened Emotion Reactivity to Daily Stress: An Experience Sampling Study

Numerous theories assert that youth with externalizing symptomatology experience intensified emotion reactivity to stressful events; yet scant empirical research has assessed this notion. Using in-vivo data collected via experience sampling methodology, we assessed whether externalizing symptoms conditioned adolescents' emotion reactivity to daily stressors (i.e. change in emotion pre-post stressor) among 206 socioeconomically disadvantaged adolescents. We also assessed whether higher externalizing symptomology was associated with experiencing more stressors overall, and whether adolescents' emotional upheavals resulted in experiencing a subsequent stressor. Hierarchical linear models showed that adolescents higher in externalizing symptoms experienced stronger emotion reactivity in sadness, anger, jealously, loneliness, and (dips in) excitement. Externalizing symptomatology was not associated with more stressful events, but a stress-preventative effect was found for recent upheavals in jealousy among youth low in externalizing. Findings pinpoint intense emotion reactivity to daily stress as a risk factor for youth with externalizing symptoms living in socioeconomic disadvantage.