Disentangling trait and state psychological inflexibility: A longitudinal multilevel approach
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An individual’s trait-like thoughts, feelings, and behaviors are characteristic patterns that occur across time, whereas state-like iterations of these variables are isolated to specific moments in time. Although highly correlated, variables at the trait and state levels measure different phenomena and should be examined separately. In this longitudinal study, we examine the disaggregation of trait and state-level psychological inflexibility among college students. Specifically, we investigated which psychological inflexibility subprocess would significantly predict positive affect, negative affect, and meaningful activity, both at the trait and state-levels. In addition to pre-and post-assessments, participants ( n = 168) completed ecological momentary assessment (EMA) surveys ( n = 2,251) assessing each of these variables via text message three times per day over the course of a week. Results suggested that while a greater number of state-like subprocesses significantly predict negative affect, positive affect, and meaningful activity, trait-like subprocesses hold more weight. Dominance analyses showed trait-level inaction to be the most important predictor for positive and negative affect, and trait-level of lack of contact with values to be the most important predictor for meaningful activity. Differentiating trait and state variables can enable contextual behavioral scientists to better understand pathological and therapeutic processes of change.
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Experiential avoidance, cognitive fusion, and behavioral variables are dynamic states, while physical and emotional functioning components are relatively stable.
“The selection of variables for the T1 and T2 assessment relies on the research indicating the classification of experiential avoidance, cognitive fusion and behavioral variables as dynamic states, while highlighting the relative stability of physical and emotional functioning components [87,88,89].”
Cognitive and emotional processes are dynamic and modifiable characteristics, presenting beneficial results after a brief intervention.
“This aligns with previous studies indicating that cognitive and emotional processes are dynamic and modifiable characteristics, presenting beneficial results after a brief intervention [60,88].”
Cites
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
Subjective well-being: Three decades of progress.
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.2.276 · Cited by 12,910 · see citing works
<b>brms</b> : An <i>R</i> Package for Bayesian Multilevel Models Using <i>Stan</i>
Bürkner, P.-C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v080.i01 · Cited by 9,476 · cited 3× · see citing works
“This was accomplished using the loo_compare function from the brms package, in which an expected log predictive density (ELPD) was calculated for each model using leave-one-out (LOO) model fit criteria (Bürkner, 2017).”
InfluentialEcological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454 · see citing works
performance: An R Package for Assessment, Comparison and Testing of Statistical Models
Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D. (2021) · Journal of Open Source Software · doi:10.21105/joss.03139 · Cited by 5,836 · see citing works
Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.
Enders, C. K., & Tofighi, D. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.2.121 · Cited by 4,462 · see citing works
Bond, F. W., Hayes, S. C., Baer, R. A., Carpenter, K. M., Guenole, N., Orcutt, H. K., Waltz, T., & Zettle, R. D. (2011) · Behavior Therapy · doi:10.1016/j.beth.2011.03.007 · Cited by 3,950 · see citing works
Handbook of research methods for studying daily life
Mehl, M. R., Conner, T. S., & Csíkszentmihályi, M. (2012) · Choice Reviews Online · doi:10.5860/choice.50-1159 · Cited by 2,121 · see citing works
The disaggregation of within-person and between-person effects in longitudinal models of change
Curran, P. J., & Bauer, D. J. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.100356 · Cited by 2,056 · see citing works
Reliability estimation in a multilevel confirmatory factor analysis framework.
Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2013) · Psychological Methods · doi:10.1037/a0032138 · Cited by 1,517 · see citing works
Detecting and Deterring Insufficient Effort Responding to Surveys
Huang, J. L. W., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2011) · Journal of Business and Psychology · doi:10.1007/s10869-011-9231-8 · Cited by 1,315 · see citing works
Budescu, D. V. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.542 · Cited by 1,193 · see citing works
Lack of group-to-individual generalizability is a threat to human subjects research
Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711978115 · Cited by 1,099 · see citing works
The dominance analysis approach for comparing predictors in multiple regression.
Azen, R., & Budescu, D. V. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.2.129 · Cited by 1,095 · see citing works
Modeled Variance in Two-Level Models
Snijders, T. A. B., & Bosker, R. (1994) · Sociological Methods & Research · doi:10.1177/0049124194022003004 · Cited by 736 · see citing works
Depression Anxiety and Stress Scales (DASS-21): Psychometric analysis across four racial groups
Norton, P. J. (2007) · Anxiety, Stress, & Coping · doi:10.1080/10615800701309279 · Cited by 708 · see citing works
Persons as Contexts: Evaluating Between-Person and Within-Person Effects in Longitudinal Analysis
Hoffman, L., & Stawski, R. S. (2009) · Research in Human Development · doi:10.1080/15427600902911189 · Cited by 664 · see citing works
Wang, L. P., & Maxwell, S. E. (2015) · Psychological Methods · doi:10.1037/met0000030 · Cited by 643 · see citing works
Ecological momentary assessment of mood disorders and mood dysregulation
Ebner-Priemer, U. W., & Trull, T. J. (2009) · Psychological Assessment · doi:10.1037/a0017075 · Cited by 530 · see citing works
Rolffs, J. L., Rogge, R. D., & Wilson, K. G. (2018) · Assessment · doi:10.1177/1073191116645905 · Cited by 504 · see citing works
Examining psychological inflexibility as a transdiagnostic process across psychological disorders
Levin, M. E., MacLane, C., Daflos, S., Seeley, J. R., Hayes, S. C., Biglan, A., & Pistorello, J. (2014) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2014.06.003 · Cited by 400 · see citing works
Self-citationThe SAGE Handbook of Quantitative Methods in Psychology
Millsap, R. E., & Maydeu‐Olivares, A. (2009) · SAGE Publications Ltd eBooks · doi:10.4135/9780857020994 · Cited by 370 · see citing works
Hedeker, D., Mermelstein, R. J., & Demirtaş, H. (2007) · Biometrics · doi:10.1111/j.1541-0420.2007.00924.x · Cited by 333 · see citing works
The Pleasant Life, the Engaged Life, and the Meaningful Life: What about the Balanced Life?
Sirgy, M. J., & Wu, J. (2007) · Journal of Happiness Studies · doi:10.1007/s10902-007-9074-1 · Cited by 231 · see citing works
Judge, T. A., Simon, L., Hurst, C., & Kelley, K. (2013) · Journal of Applied Psychology · doi:10.1037/a0034485 · Cited by 221 · see citing works
What predicts within-person variance in applied psychology constructs? An empirical examination.
Podsakoff, N. P., Spoelma, T. M., Chawla, N., & Gabriel, A. S. (2019) · Journal of Applied Psychology · doi:10.1037/apl0000374 · Cited by 219 · see citing works
Common pitfalls in statistical analysis: The perils of multiple testing
Ranganathan, P., Pramesh, C. S., & Buyse, M. E. (2016) · Perspectives in Clinical Research · doi:10.4103/2229-3485.179436 · Cited by 206 · see citing works
Kashdan, T. B., Goodman, F. R., Machell, K. A., Kleiman, E. M., Monfort, S. S., Ciarrochi, J., & Nezlek, J. B. (2014) · Emotion · doi:10.1037/a0035935 · Cited by 187 · see citing works
Examining the Concurrent and Predictive Validity of Single Items in Ecological Momentary Assessments
Song, J., Howe, E. S., Oltmanns, J. R., & Fisher, A. J. (2022) · Assessment · doi:10.1177/10731911221113563 · Cited by 173 · see citing works
Modeling trait and state variation using multilevel factor analysis with PANAS daily diary data
Merz, E. L., & Roesch, S. C. (2010) · Journal of Research in Personality · doi:10.1016/j.jrp.2010.11.003 · Cited by 158 · see citing works
Williams, M., Lewthwaite, H., Fraysse, F., Gajewska, A., Ignatavicius, J., & Ferrar, K. (2020) · Journal of Medical Internet Research · doi:10.2196/17023 · Cited by 141 · see citing works
Hayes, S. C., Merwin, R. M., McHugh, L., Sandoz, E. K., A-Tjak, J. G. L., Ruiz, F. J., Barnes-Holmes, D., Bricker, J. B., Ciarrochi, J., Dixon, M. R., et al. (2021) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2021.03.007 · Cited by 136 · see citing works
Zilcha-Mano, S. (2021) · American Psychologist · doi:10.1037/amp0000629 · Cited by 123 · cited 2× · see citing works
“Recent research has begun to disentangle trait and state-level processes of change to shed light on mechanisms of change and the personalization of traditional cognitive behavioral therapy (CBT; Zilcha-Mano, 2021; Zilcha-Mano & Webb, 2021).”
Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis
Luo, W., & Azen, R. (2012) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998612458319 · Cited by 100 · see citing works
Hardy, J. K., & Segerstrom, S. C. (2016) · Journal of Research in Personality · doi:10.1016/j.jrp.2016.04.002 · Cited by 93 · see citing works
Uncertainty in Bayesian Leave-One-Out Cross-Validation Based Model ComparisonPreprint
Sivula, T., Magnusson, M., Matamoros, A. A., & Vehtari, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.10296 · Cited by 87 · see citing works
Geiser, C., Keller, B. T., Lockhart, G., Eid, M., Cole, D. A., & Koch, T. (2014) · Behavior Research Methods · doi:10.3758/s13428-014-0457-z · Cited by 80 · see citing works
Rubel, J. A., Rosenbaum, D., & Lutz, W. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.12.007 · Cited by 75 · see citing works
Levin, M. E., Haeger, J., & Cruz, R. A. (2019) · Mindfulness · doi:10.1007/s12671-018-1004-2 · Cited by 59 · see citing works
Self-citationJaso, B. A., Kraus, N. I., & Heller, A. S. (2021) · Psychological Methods · doi:10.1037/met0000312 · Cited by 58 · see citing works
Howell, A. J., & Demuynck, K. M. (2021) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2021.04.002 · Cited by 53 · see citing works
Levin, M. E., Krafft, J., Pierce, B. G., & Potts, S. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.07.005 · Cited by 50 · see citing works
Self-citationWeigold, A., & Weigold, I. K. (2021) · Social Science Computer Review · doi:10.1177/08944393211006847 · Cited by 49 · see citing works
A guide for data cleaning in experience sampling studies.
McCabe, K. O., Mack, L. C., & Fleeson, W. (2012) · Cited by 43 · see citing works
Structural Validity of the Depression, Anxiety, and Stress Scales-21 Adapted for U.S. Undergraduates
Kia‐Keating, M., No, U., Moore, S. A., Furlong, M. J., Liu, S., & You, S. (2017) · Emerging Adulthood · doi:10.1177/2167696817745407 · Cited by 39 · see citing works
Lester, H. F., Cullen, K. L., & Walters, R. W. (2019) · Organizational Research Methods · doi:10.1177/1094428119887434 · Cited by 39 · see citing works
Twiselton, K., Stanton, S. C. E., Gillanders, D. T., & Bottomley, E. (2020) · Personal Relationships · doi:10.1111/pere.12344 · Cited by 39 · see citing works
Experiential avoidance and negative affect as predictors of daily drinking.
Luoma, J. B., Pierce, B., & Levin, M. E. (2020) · Psychology of Addictive Behaviors · doi:10.1037/adb0000554 · Cited by 30 · see citing works
Self-citationZilcha-Mano, S., & Webb, C. A. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.609585 · Cited by 25 · see citing works
Applications of Multiple Regression in Psychological Research
Azen, R., & Budescu, D. V. (2009) · SAGE Publications Ltd eBooks · doi:10.4135/9780857020994.n13 · Cited by 21 · see citing works
Mange, J., Mauduy, M., Sénémeaud, C., Bagneux, V., Cabé, N., Jacquet, D., Leconte, P., Margas, N., Mauny, N., Ritz, L., et al. (2021) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2021.100346 · Cited by 18 · see citing works
Howell, A. J., & Demuynck, K. M. (2022) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2022.12.002 · Cited by 17 · see citing works
Examining the Concurrent and Predictive Validity of Single Items in Ecological Momentary AssessmentsPreprint
Song, J., Howe, E. S., Oltmanns, J. R., & Fisher, A. J. (2022) · doi:10.31234/osf.io/p2fqu · Cited by 15 · see citing works
Acceptance and commitment therapy
Klimczak, K. S., & Levin, M. E. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91497-0.00121-1 · Cited by 15 · see citing works
Self-citationDaily changes in state emotion regulation abilities predict positive and negative affect
Pavlacic, J. M., Witcraft, S. M., Dixon, L. J., Buchanan, E. M., & Schulenberg, S. E. (2022) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2022.08.006 · Cited by 13 · see citing works
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Sahdra, B. K., Ciarrochi, J., Klimczak, K. S., Krafft, J., Hayes, S. C., & Levin, M. E. (2024) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2024.100728 · Cited by 35 · see citing works
Self-citationda Silva, L. B. M., Arruda, K. V., Suzuki, J. Y., & Herkenhoff, M. E. (2024) · Food Research International · doi:10.1016/j.foodres.2024.115040 · Cited by 10 · see citing works
Cojocaru, C.-M., Popa, C. O., Schenk, A., Jakab, Z., Suciu, B. A., Olah, P., Popoviciu, H., & Szasz, S. (2024) · Behavioral Sciences · doi:10.3390/bs14040327 · Cited by 7 · see citing works
“This aligns with previous studies indicating that cognitive and emotional processes are dynamic and modifiable characteristics, presenting beneficial results after a brief intervention [60,88].”
ResultSahdra, B. K., Shin, A., Fraser, M. I., Levin, M. E., Klimczak, K. S., Krafft, J., Hayes, S. C., Hernández, C., & Ciarrochi, J. (2025) · Journal of Happiness Studies · doi:10.1007/s10902-025-00933-0 · Cited by 6 · see citing works
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Facon-Barillot, Q., Romo, L., DIOS, L. G. D., & Morvan, Y. (2025) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2025.100953 · Cited by 3 · see citing works
Browning, M. E., Lloyd‐Richardson, E. E., Trisal, A. V., & Satterfield, S. L. (2024) · Psychological Reports · doi:10.1177/00332941241269442 · Cited by 2 · see citing works
Fraser, M. I., Field, K., Ciarrochi, J., Hernández, C., Krafft, J., Klimczak, K. S., Levin, M. E., Yap, K., Hayes, S. C., & Sahdra, B. K. (2026) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2026.100984 · Cited by 1 · see citing works
Self-citationDudek, J. E., Kijowska, M., Owen, R., Sobczyk‐Kruszelnicka, M., & Kroemeke, A. (2026) · Journal of Clinical Psychology · doi:10.1002/jclp.70210 · Cited by 1 · see citing works
Spencer, S. D., Jo, D., Hill, M. L., Meyer, M. S., Firoozan, A., & Masuda, A. (2025) · Behavior Modification · doi:10.1177/01454455251343301
Nezhad, M. Z., Holopainen, T., Räsänen, P., Laakso, M., & Alanko, K. (2026) · British Journal of Educational Psychology · doi:10.1111/bjep.70110
Sauer, C., Sajjad, T., Zinndorf, L., & Weißflog, G. (2026) · Scientific Reports · doi:10.21203/rs.3.rs-9994953/v1
- Authors
- Klimczak, K. S., Schwartz, S. E., Donahue, M. L., Capel, L. K., Snow, J. L., & Levin, M. E.
- Affiliations
- Utah State University (US)
- Corresponding author
- Klimczak, Korena S.
- ORCID
- Venue
- Journal of Contextual Behavioral Science
- Publisher
- Elsevier BV
- Published
- 2023-07
- Volume
- 29
- Pages
- 13-22
- ISSN
- 2212-1447 (ISSN-L)
- OpenAlex
- W4379014321
- Semantic Scholar
- 471ed27a9668da405e5dbf49728952a90c11a38e
- Cited by
- 11
- References
- 55
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 4
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of Contextual Behavioral Science (publishedVersion)
- Digital Commons - USU (Utah State University) (submittedVersion, cc-by-nc-nd)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- psychological inflexibility, positive affect, negative affect, meaningful activities, university students, ecological momentary assessment, dominance analysis
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