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Overcoming challenges in meditation assessment: Development and validation of the Meditation Pictographic Scale (MPS)

PsyArXiv November 11, 2025 preprint DOI: 10.31234/osf.io/4xez7_v1

Summary

AI-generated from the abstract

A new non-verbal tool, the Meditation Pictographic Scale (MPS), reliably measures subjective experiences during meditation without relying on verbal self-reports. Developed through a first-person phenomenological approach, the MPS was validated across four phases including interviews and a randomized controlled trial with 373 adults comparing three meditation practices (breath counting, loving-kindness, decentering) and an active control. Psychometric analysis showed the MPS detected meditation-induced changes, with items clustering into positive, negative, and distortion-related experiences. The scale demonstrated stable psychometric properties and sensitivity to specific practices, offering a novel method for studying meditation states and altered consciousness.

Study at a glance

Characteristics Randomized controlled trial Qualitative
Sample size 373
Population Adults
Interventions breath counting loving-kindness decentering
Key finding The Meditation Pictographic Scale (MPS) detected meditation-induced changes with items clustering into positive, negative, and distortion-related experiences, demonstrating stable psychometric properties and sensitivity to specific meditation practices.

Abstract

Measuring subjective experience during meditation remains methodologically challenging due to reliance on verbal self-reports for embodied phenomena. To address this, we developed the Meditation Pictographic Scale (MPS) using a first-person phenomenological approach. We developed and validated the MPS across four phases: (1) qualitative interviews to refine pictographic items; (2) administration to adults (N = 373) in a randomized controlled trial, comparing three meditation practices (breath counting, loving-kindness, decentering) and active control; (3) psychometric analysis, including sensitivity to change, congruent correlations with related constructs, and internal structure via network analysis and exploratory factor analysis; and (4) assessment of structural changes across meditation states. Results showed that the MPS detected meditation-induced changes, with items clustering into positive, negative, and distortion-related experiences. The MPS demonstrated stable psychometric properties and sensitivity to specific meditation practices, offering a novel, non-verbal tool for studying meditation states, self-related processes, and altered states of consciousness.

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