Psychometric evaluation of the altered states of consciousness rating scale (OAV)
This study conducted a psychometric evaluation of the altered states of consciousness rating scale (OAV). Data (n=591) was pooled from 43 different studies. The analyses showed that the originally proposed model did not fit the data well and new (lower order) scales were constructed, which have better psychometric properties.
Abstract
Background: The OAV questionnaire has been developed to integrate research on altered states of consciousness (ASC). It measures three primary and one secondary dimensions of ASC that are hypothesized to be invariant across ASC induction methods. The OAV rating scale has been in use for more than 20 years and applied internationally in a broad range of research fields, yet its factorial structure has never been tested by structural equation modeling techniques and its psychometric properties have never been examined in large samples of experimentally induced ASC.Methodology/Principal Findings: The present study conducted a psychometric evaluation of the OAV in a sample of psilocybin (n = 327), ketamine (n = 162), and MDMA (n = 102) induced ASC that was obtained by pooling data from 43 experimental studies. The factorial structure was examined by confirmatory factor analysis, exploratory structural equation modeling, hierarchical item clustering (ICLUST), and multiple indicators multiple causes (MIMIC) modeling. The originally proposed model did not fit the data well even if zero-constraints on non-target factor loadings and residual correlations were relaxed. Furthermore, ICLUST suggested that the “oceanic boundlessness” and “visionary restructuralization” factors could be combined on a high level of the construct hierarchy. However, because these factors were multidimensional, we extracted and examined 11 new lower order factors. MIMIC modeling indicated that these factors were highly measurement invariant across drugs, settings, questionnaire versions, and sexes. The new factors were also demonstrated to have improved homogeneities, satisfactory reliabilities, discriminant and convergent validities, and to differentiate well among the three drug groups.Conclusions/Significance: The original scales of the OAV were shown to be multidimensional constructs. Eleven new lower order scales were constructed and demonstrated to have desirable psychometric properties. The new lower order scales are most likely better suited to assess drug induced ASC.
Research Summary of 'Psychometric evaluation of the altered states of consciousness rating scale (OAV)'
Introduction
Altered states of consciousness (ASC) are transient deviations from usual waking experience that can be induced pharmacologically (eg, psilocybin, ketamine, MDMA), by clinical conditions, or by non-pharmacological means. Dittrich and colleagues developed the APZ questionnaire and later revised versions (OAV, 5D-ASC) to capture etiology-independent dimensions of ASC. The OAV was intended to measure three primary dimensions—oceanic boundlessness (OBN), dread of ego dissolution (DED) and visionary restructuralization (VRS)—plus a general alteration factor (G-ASC). Despite widespread use across languages and study contexts, earlier validations relied largely on exploratory methods, small samples, and item sets/analyses that carry known statistical limitations (eg, binary items, use of Pearson correlations for dichotomous data), so the factorial structure and psychometric properties of the OAV have not been tested with modern latent-variable methods in large samples of experimentally induced ASC. Studerus and colleagues set out to re-evaluate the OAV using structural equation modelling (SEM) techniques on a large pooled data set of experimentally induced ASC. The principal aims were to test the originally proposed three-factor model with confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM), to explore lower-order facets using hierarchical item clustering (ICLUST), to assess measurement invariance across drugs, settings, questionnaire versions and sex using multiple indicators multiple causes (MIMIC) modelling, and to derive and evaluate new, psychometrically defensible subscales where appropriate.
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Studerus, E., Gamma, A., & Vollenweider, F. X. (2010). Psychometric evaluation of the altered states of consciousness rating scale (OAV). PLoS ONE, 5(8), e12412. https://doi.org/10.1371/journal.pone.0012412
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