Cited by 15Mindfulness and Compassion InterventionsPsychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

A comparison of decentering across demographic groups and meditation experience: Support for the measurement invariance of the Experiences Questionnaire.

Open access
Naragon-Gainey, Kristin, McMahon, Tierney P., Strowger, Megan, Lackner, Ryan. J., Seah, T. H. Stanley, Moore, Michael T., Fresco, David M.·2020·Psychological Assessment

Abstract

Theory and prior research suggests that decentering-an objective, distanced perspective on one's internal experiences-may vary based upon characteristics such as age, gender, race/ethnicity, and meditation experience. However, little is known about whether decentering measures are comparable in their meaning and interpretation when administered to individuals with different group membership (e.g., men or women; younger or older adults, etc.). The current study examined the measurement invariance of the Experiences Questionnaire (Fresco et al., 2007), a commonly used measure of decentering, evaluating age, gender, race/ethnicity, and meditation experience in three samples (students, community members, and clinical participants). Each sample was tested separately to assess the generalizability of results. The Experiences Questionnaire demonstrated full or partial measurement invariance in all cases, suggesting that scores are not biased based upon group membership and may be compared across individuals who vary in age, race/ethnicity, gender, and meditation experience. The current study also examined mean differences in decentering by groups, finding some evidence that decentering scores are higher for men, racial/ethnic minorities, older adults, and individuals with more meditation experiences. Implications are discussed for assessing decentering in diverse samples. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Integrity signals

Registry

Crossref · 10.1037/pas0000767

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 9 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    In the clinical sample, younger and older adults did not differ in latent decentering means (d = .038, p = .732).

    “There was no difference in latent means between younger and older adults in the clinical sample (d = .038, p = .732).”
    • Also stated in: § Discussion · plain
      “However, there was not an age difference in decentering in the clinical sample”
    Quote in the paperSubstantial claim
  • Findingown data

    Full measurement invariance by race/ethnicity (White/Non-Hispanic vs. Minority) was found in all three samples.

    “Thus, full measurement invariance was found based on identification as white or as a racial/ethnic minority group member.”
    Quote in the paperSubstantial claim
  • Findingown data

    For meditation experience, full metric and scalar invariance were supported in all three samples.

    “The configural models were a good fit to the data in all three samples, and metric and scalar invariance were fully supported.”
    Quote in the paperSubstantial claim
  • Study design and conductown data

    The sample sizes could not support fine-grained subgroup analyses, especially for race/ethnicity.

    “sample sizes were not large enough to examine fine-grained groupings, which is particularly relevant to the race/ethnicity analyses.”
    Quote in the paperNot a substantial claim
  • Interpretationown data

    The EQ seems well suited to provide comparable and unbiased measurement across the individual differences examined here.

    “the EQ is a good candidate for providing comparable, unbiased measurement across the above individual differences.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim. 1
  • May combine two claims. 18
  • Classified as probably not a substantial claim. 5
  • The quote only partly states this claim.

    Findingown data

    The hypothesized single-factor structure of the EQ fit the data well in each sample after removing the error covariance for items 3 and 5.

    “This single factor model fit the data well in each sample (see Table 2).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the student sample, racial/ethnic minority participants scored higher on decentering than White participants (d = .14, p < .001); the clinical (d = .11, p = .420) and community (d = .15, p = .083) samples showed no significant difference.

    “participants who identified as a racial/ethnic minority had higher decentering than whites in the student sample (Cohen’s d = .14, p < .001), but there was not a significant difference in latent means in the clinical (d = .11, p = .420) or community samples (d = .15, p = .083).”
    • Also stated in: § Discussion · hedged
      “Last, there was a very small effect across samples suggesting that racial or ethnic minority individuals may score higher in decentering than white individuals, though it only reached significance in the large student sample.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The error covariance between items 3 and 5 was not significant in the clinical and community samples and was small in the student sample (r = .11, p < .001).

    “However, the error covariance for items 3 and 5 was non-significant in the clinical and community samples, and had a small effect size in the student sample (r = .11, p < .001).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    People with 6 months or less meditation experience had lower decentering than those with more than 6 months in the clinical (d = −.53, p < .001) and student (d = −.26, p = .001) samples; the community sample showed no association (d = −.13, p = .188).

    “individuals with 6 months or less mediation experience had lower decentering in the clinical (d = −.53, p < .001) and student (d = −.26, p = .001) samples. However, meditation experience was not associated with decentering in the community sample (d = −.13, p = .188).”
    • Also stated in: § Discussion · hedged
      “Results were largely consistent with hypotheses, as individuals with more meditation experience had higher latent levels of decentering than individuals with less than six months experience (or none) (see also Ireland et al., 2018).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In the community sample, middle-aged (d = .22, p = .039) and older adults (d = .58, p < .001) scored higher on decentering than young adults, and older adults scored higher than middle-aged adults (d = .34, p = .003).

    “there was a significant difference in latent means in the community sample, where both middle (d = .22, p = .039) and older adults (d = .58, p < .001) had higher levels of decentering than young adults, and older adults had higher levels of decentering than middle aged adults (d = .34, p = .003).”
    • Also stated in: § Discussion · plain
      “As expected, older adults had higher levels of decentering than younger adults in the community sample, with a positive linear association across the three age groups.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Age showed metric invariance in the community and clinical samples; scalar invariance was full in the clinical sample but partial in the community sample after freeing intercepts for items 3, 4, and 11.

    “The configural model was a good fit to the data in both the community and clinical samples, and metric invariance was supported in both samples. There was evidence of full scalar invariance in the clinical sample, whereas in the community sample there were differences in indicator intercepts across groups (ΔCFI = −.012, ΔRMSEA = .003, ΔSRMR = .007). After freely estimating indicator intercepts for”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Females scored lower on decentering than males in the student (d = −.42, p < .001) and community (d = −.18, p = .045) samples; the clinical sample showed no significant gender difference (d = −.22, p = .151).

    “Latent means indicated that females had lower levels of decentering in the student (d = −.42, p < .001) and community samples (d = −.18, p = .045), but there was not a significant gender difference in the latent means for the clinical sample (d = −.22, p = .151).”
    • Also stated in: § Discussion · hedged
      “In more exploratory analyses, females consistently had lower levels of decentering than males, as indicated by small effect sizes (though the difference was not significant in the clinical sample).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductreasoning

    The clinical sample was fairly small for invariance testing, so it may have lacked power to detect minor non-invariance.

    “The size of the clinical sample was relatively small to conduct measurement invariance analyses, and therefore these analyses may not have had adequate power to detect minor non-invariance in this sample.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Initial evidence suggests that responses to mindfulness-related scales differ systematically by group, and that meditation experience affects how some items are interpreted.

    “there is initial support for systematic group differences when responding to mindfulness-related scales, as the interpretation of some mindfulness items appears to be dependent upon one’s meditation experience (e.g., Goh, Marais, & Ireland, 2015; Gu et al., 2016)”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites Goh, Marais, & Ireland, 2015

      Not checked in the free run.

    • cites Gu et al., 2016

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Interpretationreasoning

    These findings should not be extended to other measures or grouping variables, and other samples might yield different results.

    “these findings should not be generalized to other measures or grouping variables, and results may differ in other samples.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Most analyses achieved full scalar invariance; three cases (gender in students and clinical participants, and age in community participants) reached only partial scalar invariance after allowing one to three item intercepts to vary by group.

    “Full scalar invariance was also met for most analyses, whereas partial scalar invariance was established in the three remaining cases (e.g., for gender in students and clinical participants, and for age in community participants) by allowing one to three item intercepts to differ across groups.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    In adulthood, decentering and mindfulness show a positive association with age.

    “numerous studies found that decentering and mindfulness are positively associated with age in adulthood (e.g., Prakash, Hussain, & Schirda, 2015; Shook et al., 2017).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Prakash et al., 2015

      Not checked in the free run.

    • cites Shook et al., 2017

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    Meditation experience was measured with only one self-report item about years of practice, which cannot capture nuanced differences in practice or skill.

    “our assessment of meditation experience was limited to one self-reported item asking about years of meditation experience, which does not allow for a nuanced characterization of meditation practice and skill.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Before this study, the only measurement invariance test in decentering research used the Toronto Mindfulness Scale's decentering subscale; it found partial or full invariance across meditation experience groups, and more experienced meditators had higher latent decentering means.

    “the sole analysis of measurement invariance in the decentering literature was conducted on the decentering subscale of the Toronto Mindfulness Scale. Analyses supported partial or full measurement invariance across meditation experience groups, and participants with more meditation experience had higher latent mean levels of decentering (Ireland, Day, & Clough, 2018).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ireland, Day, & Clough, 2018

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    Metric invariance was full for every grouping variable and sample, which suggests that the EQ items relate to latent decentering in the same way across people with diverse characteristics.

    “It is notable that full metric invariance was demonstrated across all grouping variables and samples, suggesting that the EQ items are similarly related to latent decentering across people with a variety of characteristics; that is, the meaning of the items is comparable.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    People who have practiced meditation more extensively generally score higher on decentering and similar constructs compared with those who have practiced little or not at all.

    “individuals with more meditation experience tend to report higher levels of decentering and related constructs, relative to those with little or no meditation experience (e.g., Franquesa et al., 2017; Isbel & Mahar, 2015).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Franquesa et al., 2017

      Not checked in the free run.

    • cites Isbel & Mahar, 2015

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation

    This gender difference aligns with women's greater tendency to ruminate or perseverate on negative thoughts compared with men, since such perseverative thinking conflicts with a decentered stance.

    “This is consistent with the tendency of women to ruminate or perseverate on negative thoughts to a greater degree than men (Johnson & Whisman, 2013), as negative perseverative thought is incompatible with a decentered stance.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Johnson & Whisman, 2013

      Not checked in the free run.

  • May combine two claims.

    Study design and conductreasoning

    Because the samples were not chosen for meditation experience, they probably contained few expert meditators, and the meditator group's average proficiency was likely low.

    “the samples were not selected based upon meditation experience, so there were likely few expert meditators and the mean proficiency of the meditator group was probably not high.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    This study increases confidence in the EQ as a broadly applicable decentering measure and offers an initial picture of how decentering levels vary with demographic features and meditation experience.

    “the current study bolsters confidence in the EQ as a widely-applicable measure of decentering, and provide an initial characterization of how decentering levels differ across demographic features and meditation experience.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    The EQ has shown good internal consistency (alpha = .83) and the expected convergent and discriminant relationships with related measures.

    “The EQ has demonstrated good internal consistency (alpha = .83) and showed expected patterns of convergent and discriminant associations with related constructs (Fresco et al., 2007).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Fresco et al., 2007

      Not checked in the free run.

20 of 20
  • The paper relies on this without support.

    It is unclear whether decentering measures have the same meaning and interpretation when given to people from different groups (e.g., men versus women, younger versus older adults).

    “However, little is known about whether decentering measures are comparable in their meaning and interpretation when administered to individuals with different group membership (e.g., men or women; younger or older adults, etc.).”
  • The paper relies on this without support.

    The EQ is the most commonly used decentering measure in both research and clinical settings.

    “which is the most frequently-used measure of decentering in research and clinical contexts (currently cited between 200 and 500 times).”
  • The paper relies on this without support.

    The EQ captures trait decentering, which differs from measuring decentering as a dynamic process over time.

    “It is important to note that the EQ reflects trait decentering, which is distinct from an assessment of decentering as a dynamic, temporal process”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Samples from Study 1 suffered from gender imbalance.

    “Samples from Study 1 suffered from gender imbalance; although unlikely to affect the results (Naragon-Gainey et al., 2020), future studies in the French-speaking population should make similar assessments in more balanced samples.”

    From Measuring Decentering – Development and Validation of the French Version of the Experiences Questionnaire (EQ-F) (2024) · cites this paper as Naragon-Gainey et al., 2020

    The Results (Gender; page unavailable) find full or partial measurement invariance across gender, supporting the narrower point that EQ scores can be interpreted comparably for men and women. The paper does not establish that gender imbalance could not affect the citing study’s results; it also reports gender differences in decentering in two samples. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • EQ scores can be interpreted similarly across age, sex, ethnicity, and meditation experience in students, community, and clinical samples.

    “The results suggest that EQ scores can be interpreted similarly across the aforementioned groups.”
  • The greater correlation with decentering among male caregivers in our sample is supported by recent reports of higher average decentering scores in men.

    “The greater correlation with decentering among male caregivers in our sample is supported by recent reports of higher average decentering scores in men [29].”
  • Empirical evidence supports a gender differential in decentering favoring men and in emotion regulation (especially positive emotions) favoring women.

    “Empirical evidence for a gender differential in decentering in favor of men [29] and for emotion regulation (especially positive emotions) in favor of women [30] provides support for the idea that separate mindfulness-based mechanisms may be at play depending on caregiver-specific factors.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Naragon-Gainey, K., McMahon, T. P., Strowger, M., Lackner, R. J., Seah, T. H. S., Moore, M. T., & Fresco, D. M.
Affiliations
Kent State University (US)
Venue
Psychological Assessment
Published
2020-02
Volume
32
Issue
2
Pages
197-204
ISSN
  • 1040-3590 (ISSN-L)
  • 1939-134X
OpenAlex
W2970671019
Cited by
15
References
13
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 3 · 2020: 1
FWCI
2.04
Type
journal article
Language
en
Open access
Locations
  • Psychological Assessment (publishedVersion, other-oa)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Center for Complementary and Integrative Health (R21AT009470)
  • National Heart, Lung, and Blood Institute (R01HL119977)
  • National Institute of Nursing Research (P30NR015326)
  • National Center for Complimentary and Integrative Health (R61AT009867)
  • National Institute of Child Health and Human Development (R21HD095099)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
decentering, measurement invariance, meditation experience, age differences, gender differences, racial and ethnic differences, older adults, racial and ethnic minorities, cross-cultural comparability
MeSH terms
Adolescent, Adult, Age Factors, Asian, Black or African American, Ethnicity, Factor Analysis, Statistical, Female, Hispanic or Latino, Humans, Male, Middle Aged, Surveys and Questionnaires, Sex Factors, Students, Universities, Meditation, White People, Young Adult, Mindfulness

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read under definition version 3 (extract-v3) on 2026-09-28.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review