Psychometric validation of the pictorial ecological momentary well-being instrument.

OBJECTIVES

With the growing interest in Ecological Momentary Assessment (EMA) in mental health research, the need for precise and reliable measurement tools has become a pressing issue. However, few candidate instruments have been validated in intensive longitudinal data collection contexts. The present study provides an example of the psychometric validation of measurement instruments designed for EMA, by assessing the psychometric properties of Ecological Momentary Well-being Instrument (EMoWI), the first scale specifically designed to measure momentary well-being.

STUDY DESIGN AND SETTING

Participants from the COvid-19 HEalth and Social InteractiOn in Neighborhoods (COHESION) cohort, a general population sample of Canadian adults, who participated in the September 2022 EMA wave, were included. Prompts including the 8 EMoWI items were sent to participants three times a day, over 10 consecutive days. Based on recent recommendations, we combined Classical Test and Item Response theories to assess content, structural, and construct validity, as well as reliability of EMoWI in an intensive longitudinal data collection context.

RESULTS

Two Hundred Ninety adults aged between 19 and 80 were included, representing a total of 7974 prompts over 10 days. Variance decomposition analysis confirmed significant variability in momentary well-being at both the participant and day levels. Multilevel confirmatory factor analysis supported a single factor hypothesis (root mean square error of approximation = 0.074). Internal consistency was high, both at the within- and between-variance level (MacDonald's ω = 0.814 and 0.938, respectively) and we demonstrated longitudinal measurement invariance over time. Variations in mean momentary well-being across subgroups were consistent with our predefined hypotheses, supporting construct validity of EMoWI.

CONCLUSION

We demonstrated the validity and reliability of EMoWI to measure momentary well-being in intensive longitudinal studies. These results will enhance the accuracy of findings related to well-being in EMA studies and inform the development of evidence-based mental health ecological momentary interventions.