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Cognitive Therapy and Research

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28-01-2023 | Original Article

Low Emotional Complexity as a Transdiagnostic Risk Factor: Comparing Idiographic Markers of Emotional Complexity to Emotional Granularity as Predictors of Anxiety, Depression, and Personality Pathology

Auteurs: Nicholas C. Jacobson, Thane M. Erickson, Christina M. Quach, Narayan B. Singh

Gepubliceerd in: Cognitive Therapy and Research | Uitgave 2/2023

Abstract

Background

Individuals vary widely in emotional complexity (EC), the ways in which they represent and experience emotions. Emotional granularity, the degree to which individuals discriminate between emotions within positive or negative categories in daily experiences, is a widely studied form of EC linked to anxiety, depression, and personality pathology. However, less research has examined idiographic measures that index EC in terms of person-specific components of emotional experience, as well as links to psychopathology.

Methods

This study examined the relationship between two relatively novel idiographic indexes of EC in relation to granularity and measures of psychopathology. Participants (N = 177, 54% above moderate levels of anxiety, depression, and/or personality pathology) reported perceptions of their emotional components, a qualitative idiographic index of EC. They also completed a 50-day emotion diary.

Results

Dynamic factor analyses yielded the number of emotion factors for each person over time, a quantitative idiographic measure of EC. Intraclass correlations on diary data measured emotional granularity. Results suggested that each measure was distinct and explained unique variance in predicting anxiety, depression, and/or personality pathology.

Conclusions

The results highlight the importance of studying both idiographic and existing nomothetic measures of EC as potential transdiagnostic risk factors for psychopathology.

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Note that moderate anxiety pathology was assessed based on the PROMIS anxiety scale norms (Pilkonis et al., 2011). Moderate depressive pathology was assessed via PROMIS depression scale norms ibid. Moderate personality pathology was based on the PID-5 pathology subdomain in nationally representative sample norms (Krueger et al., 2012), using the procedure adopted by Samuel et al. (2013), with t-score of 65 or above reflecting moderate to severe.

American Psychiatric Association (A.P.A.). (2013). Diagnostic and statistical manual of mental disorders (DSM-5). American Psychiatric Association.CrossRef

Barrett, L. F., Gross, J., Christensen, T. C., & Benvenuto, M. (2001). Knowing what you’re feeling and knowing what to do about it: Mapping the relation between emotion differentiation and emotion regulation. Cognition and Emotion, 15(6), 713–724. https://doi.org/10.1080/02699930143000239CrossRef

Boden, M. T., Thompson, R. J., Dizén, M., Berenbaum, H., & Baker, J. P. (2013). Are emotional clarity and emotion differentiation related? Cognition and Emotion, 27, 961–978. https://doi.org/10.1080/02699931.2012.751899CrossRefPubMed

Boswell, J. F., Anderson, L. M., & Barlow, D. H. (2014). An idiographic analysis of change processes in the unified transdiagnostic treatment of depression. Journal of Consulting and Clinical Psychology, 82(6), 1060–1071. https://doi.org/10.1037/a0037403CrossRefPubMed

Brose, A., de Roover, K., Ceulemans, E., & Kuppens, P. (2015). Older adults’ affective experiences across 100 days are less variable and less complex than younger adults’. Psychology and Aging, 30(1), 194–208. https://doi.org/10.1037/a0038690CrossRefPubMed

Cameron, C. D., Payne, B. K., & Doris, J. M. (2013). Morality in high definition: Emotion differentiation calibrates the influence of incidental disgust on moral judgments. Journal of Experimental Social Psychology, 49, 719–725. https://doi.org/10.1016/j.jesp.2013.02.014CrossRef

Carstensen, L. L., Pasupathi, M., Mayr, U., & Nesselroade, J. R. (2000). Emotional experience in everyday life across the adult life span. Journal of Personality and Social Psychology, 79, 644–655. https://doi.org/10.1037/0022-3514.79.4.644CrossRefPubMed

Clore, G. L., & Ortony, A. (2000). Cognition in emotion: Always, sometimes, or never. In R. D. Lane & L. Nadel (Eds.), Cognitive neuroscience of emotion (pp. 24–61). Oxford University Press.

Dawood, S., & Pincus, A. L. (2018). Pathological narcissism and the severity, variability, and instability of depressive symptoms. Personality Disorders: Theory, Research, and Treatment, 9(2), 144–154. https://doi.org/10.1037/per0000239CrossRef

Demiralp, E., Thompson, R. J., Mata, J., Jaeggi, S. M., Buschkuehl, M., Barrett, L. F., Ellsworth, P. C., Demiralp, M., Hernandez-Garcia, L., Deldin, P. J., Gotlib, I. H., & Jonides, J. (2012). Feeling blue or turquoise? Emotional differentiation in major depressive disorder. Psychological Science, 23(11), 1410–1416. https://doi.org/10.1177/0956797612444903CrossRefPubMed

Dixon-Gordon, K. L., Chapman, A. L., Weiss, N. H., & Rosenthal, M. Z. (2014). A preliminary examination of the role of emotion differentiation in the relationship between borderline personality and urges for maladaptive behaviors. Journal of Psychopathology and Behavioral Assessment, 36(4), 616–625. https://doi.org/10.1007/s10862-014-9423-4CrossRefPubMedPubMedCentral

Emery, N. N., Simons, J. S., Clarke, C. J., & Gaher, R. M. (2014). Emotion differentiation and alcohol-related problems: The mediating role of urgency. Addictive Behaviors, 39(10), 1459–1463. https://doi.org/10.1016/j.addbeh.2014.05.004CrossRefPubMedPubMedCentral

Erbas, Y., Ceulemans, E., Blanke, E. S., Sels, L., Fischer, A., & Kuppens, P. (2018). Emotion differentiation dissected: Between-category, within-category, and integral emotion differentiation, and their relation to well-being. Cognition and Emotion. https://doi.org/10.1080/02699931.2018.1465894CrossRefPubMed

Erbas, Y., Ceulemans, E., Lee Pe, M., Koval, P., & Kuppens, P. (2014). Negative emotion differentiation: Its personality and well-being correlates and a comparison of different assessment methods. Cognition and Emotion, 28(7), 1196–1213. https://doi.org/10.1080/02699931.2013.875890CrossRefPubMed

Erickson, T. M., Newman, M. G., Peterson, J., & Scarsella, G. (2015). Ambivalence about interpersonal problems and traits predicts cross-situational variability of social behavior. Journal of Personality, 83(4), 429–440. https://doi.org/10.1111/jopy.12117CrossRefPubMed

Feldman, L. A. (1995). Valence focus and arousal focus: Individual differences in the structure of affective experience. Journal of Personality and Social Psychology, 69(1), 153.CrossRef

Fisher, A. J. (2015). Toward a dynamic model of psychological assessment: Implications for personalized care. Journal of Consulting and Clinical Psychology, 83(4), 825–836. https://doi.org/10.1037/ccp0000026CrossRefPubMed

Fisher, A. J., & Boswell, J. F. (2016). Enhancing the personalization of psychotherapy with dynamic assessment and modeling. Assessment, 23(4), 496–506. https://doi.org/10.1177/1073191116638735CrossRefPubMed

Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.1711978115CrossRefPubMedPubMedCentral

Fisher, A. J., Reeves, J. W., Lawyer, G., Medaglia, J. D., & Rubel, J. A. (2017). Exploring the idiographic dynamics of mood and anxiety via network analysis. Journal of Abnormal Psychology, 126(8), 1044–1056. https://doi.org/10.1037/abn0000311CrossRefPubMed

Frank, B., Jacobson, N. C., Hurley, L., & McKay, D. (2017). A theoretical and empirical modeling of anxiety integrated with RDoC and temporal dynamics. Journal of Anxiety Disorders, 51, 39–46. https://doi.org/10.1016/j.janxdis.2017.09.002CrossRefPubMed

Fried, E. I. (2017). The 52 symptoms of major depression: Lack of content overlap among seven common depression scales. Journal of Affective Disorders, 208, 191–197. https://doi.org/10.1016/j.jad.2016.10.019CrossRefPubMed

Frijda, N. H. (1986). The emotions. Cambridge University Press.

Gohm, C. L., & Clore, G. L. (2002). Four latent traits of emotional experience and their involvement in well-being, coping, and attributional style. Cognition and Emotion, 16(4), 495–518. https://doi.org/10.1080/02699930143000374CrossRef

Gratz, K. L., Latzman, R. D., Tull, M. T., Reynolds, E. K., & Lejuez, C. W. (2011). Exploring the association between emotional abuse and childhood borderline personality features: The moderating role of personality traits. Behavior Therapy, 42(3), 493–508. https://doi.org/10.1016/j.beth.2010.11.003CrossRefPubMedPubMedCentral

Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271–299. https://doi.org/10.1037/1089-2680.2.3.271CrossRef

Grossmann, I., Huynh, A. C., & Ellsworth, P. C. (2016). Emotional complexity: Clarifying definitions and cultural correlates. Journal of Personality and Social Psychology, 111(6), 895–916. https://doi.org/10.1037/pspp0000084CrossRefPubMed

Grühn, D., Lumley, M. A., Diehl, M., & Labouvie-Vief, G. (2013). Time-based indicators of emotional complexity: Interrelations and correlates. Emotion, 13, 226–237. https://doi.org/10.1037/a0030363CrossRefPubMed

Hayes, S. C., & Hofmann, S. G. (2021). “Third-wave” cognitive and behavioral therapies and the emergence of a process-based approach to intervention in psychiatry. World Psychiatry, 20(3), 363–375. https://doi.org/10.1002/wps.20884CrossRefPubMedPubMedCentral

Hayes, S. C., Hofmann, S. G., Stanton, C. E., Carpenter, J. K., Sanford, B. T., Curtiss, J. E., & Ciarrochi, J. (2019). The role of the individual in the coming era of process-based therapy. Behaviour Research and Therapy, 117, 40–53. https://doi.org/10.1016/j.brat.2018.10.005CrossRefPubMed

Hoemann, K., Barrett, L. F., & Quigley, K. S. (2021a). Emotional granularity increases with intensive ambulatory assessment: Methodological and individual factors influence how much. Frontiers in Psychology, 12, 704125. https://doi.org/10.3389/fpsyg.2021.704125CrossRefPubMedPubMedCentral

Hoemann, K., Nielson, C., Yuen, A., Gurera, J. W., Quigley, K. S., & Barrett, L. F. (2021b). Expertise in emotion: A scoping review and unifying framework for individual differences in the mental representation of emotional experience. Psychological Bulletin, 147(11), 1159–1183. https://doi.org/10.1037/bul0000327CrossRefPubMedPubMedCentral

Hofmann, S. G., Curtiss, J. E., & Hayes, S. C. (2020). Beyond linear mediation: Toward a dynamic network approach to study treatment processes. Clinical Psychology Review, 76, 101824. https://doi.org/10.1016/j.cpr.2020.101824CrossRefPubMedPubMedCentral

Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424CrossRef

Izard, C. E. (2009). Emotion theory and research: Highlights, unanswered questions, and emerging issues. Annual Review of Psychology, 60, 1–25. https://doi.org/10.1146/annurev.psych.60.110707.163539CrossRefPubMedPubMedCentral

Jacobson, N. C., Chow, S. M., & Newman, M. G. (2019). The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data. Behavior Research Methods, 51, 295–315. https://doi.org/10.3758/s13428-018-1101-0

Jacobson, N. C., Evey, K. J., Wright, A. G. C., & Newman, M. G. (2021). Integration of discrete and global structuresof affect across three large samples: Specific emotions within-persons and global affect between-persons. Emotion. https://doi.org/10.1037/emo0001022CrossRefPubMed

Jacobson, N. C., Lord, K. A., & Newman, M. G. (2017). Perceived emotional social support in bereaved spouses mediates the relationship between anxiety and depression. Journal of Affective Disorders, 211, 83–91. https://doi.org/10.1016/j.jad.2017.01.011CrossRefPubMedPubMedCentral

Jacobson, N. C., & Newman, M. G. (2014). Avoidance mediates the relationship between anxiety and depression over a decade later. Journal of Anxiety Disorders, 28(5), 437–445. https://doi.org/10.1016/j.janxdis.2014.03.007CrossRefPubMedPubMedCentral

Jacobson, N. C., & Newman, M. G. (2016). Perceptions of close and group relationships mediate the relationship between anxiety and depression over a decade later. Depression and Anxiety, 33(1), 66–74. https://doi.org/10.1002/da.22402CrossRefPubMed

Jacobson, N. C., & Newman, M. G. (2017). Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies. Psychological Bulletin, 143, 1155–1200. https://doi.org/10.1037/bul0000111CrossRefPubMed

Jacobson, N. C., Newman, M. G., & Goldfried, M. R. (2016). Clinical feedback about empirically supported treatments for obsessive–compulsive disorder. Behavior Therapy, 47, 75–90. https://doi.org/10.1016/j.beth.2015.09.003CrossRefPubMed

Ji, L., Chow, S.-M., Schermerhorn, A. C., Jacobson, N. C., & Cummings, E. M. (2018). Handling missing data in the modeling of intensive longitudinal data. Structural Equation Modeling. https://doi.org/10.1080/10705511.2017.1417046CrossRefPubMedPubMedCentral

Kang, S.-M., & Shaver, P. R. (2004). Individual differences in emotional complexity: Their psychological implications. Journal of Personality, 72(4), 687–726. https://doi.org/10.1111/j.0022-3506.2004.00277.xCrossRefPubMed

Kashdan, T. B., & Farmer, A. S. (2014). Differentiating emotions across contexts: Comparing adults with and without social anxiety disorder using random, social interaction, and daily experience sampling. Emotion, 14(3), 629–638. https://doi.org/10.1037/a0035796CrossRefPubMedPubMedCentral

Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., Brown, T. A., Carpenter, W. T., Caspi, A., Clark, L. A., Eaton, N. R., Forbes, M. K., Forbush, K. T., Goldberg, D., Hasin, D., Hyman, S. E., Ivanova, M. Y., Lynam, D. R., Markon, K., ... Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126(4), 454–477. https://doi.org/10.1037/abn0000258

Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2012). Initial construction of a maladaptive personality trait model and inventory for DSM-5. Psychological Medicine, 42(9), 1879–1890. https://doi.org/10.1017/s0033291711002674CrossRefPubMed

Labouvie-Vief, G., Grühn, D., & Studer, J. (2010). Dynamic integration of emotion and cognition: Equilibrium regulation in development and aging. Volume 2: Social and emotional development. In R. M. Lerner, M. E. Lamb, & A. M. Freund (Eds.), The handbook of life-span development. Wiley.

Larsen, R. J., & Cutler, S. E. (1996). The complexity of individual emotional lives: A within-subject analysis of affect structure. Journal of Social and Clinical Psychology, 15, 206–230.CrossRef

McAdams, D. (2008). The Life Story Interview. www.sesp.northwestern.edu/docs/LifeStoryInterview.pdf

Millard, S. P., & Neerchal, N. K. (2000). Environmental statistics with S-Plus. CRC Press.

Molenaar, P. C. M. (1985). A dynamic factor model for the analysis of multivariate time series. Psychometrika, 50(2), 181–202. https://doi.org/10.1007/BF02294246CrossRef

Molenaar, P. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement: Interdisciplinary Research and Perspectives, 2(4), 201–218. https://doi.org/10.1207/s15366359mea0204_1CrossRef

Molenaar, P. C. M. (2008). On the implications of the classical ergodic theorems: Analysis of developmental processes has to focus on intra-individual variation. Developmental Psychobiology, 50(1), 60–69. https://doi.org/10.1002/dev.20262CrossRefPubMed

Molenaar, P. C. M., & Campbell, C. G. (2009). The new person-specific paradigm in psychology. Current Directions in Psychological Science, 18(2), 112–117. https://doi.org/10.1111/j.1467-8721.2009.01619.xCrossRef

Monden, R., Wardenaar, K. J., Stegeman, A., Conradi, H. J., & de Jonge, P. (2015). Simultaneous decomposition of depression heterogeneity on the person-, symptom- and time-level: The use of three-mode principal component analysis. PLoS ONE, 10(7), e0132765. https://doi.org/10.1371/journal.pone.0132765CrossRefPubMedPubMedCentral

Nimon, K. F., & Oswald, F. L. (2013). Understanding the results of multiple linear regression: Beyond standardized regression coefficients. Organizational Research Methods, 16(4), 650–674. https://doi.org/10.1177/1094428113493929CrossRef

Nook, E. C., Sasse, S. F., Lambert, H. K., McLaughlin, K. A., & Somerville, L. H. (2018). The nonlinear development of emotion differentiation: Granular emotional experience is low in adolescence. Psychological Science, 29(8), 1346–1357. https://doi.org/10.1177/0956797618773357CrossRefPubMedPubMedCentral

Ong, A. D., & Bergeman, C. S. (2004). The complexity of emotions in later life. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 59(3), 117–122. https://doi.org/10.1093/geronb/59.3.p117CrossRef

O’Toole, M. S., Renna, M. E., Elkjær, E., Mikkelsen, M. B., & Mennin, D. S. (2019). A systematic review and meta-analysis of the association between complexity of emotion experience and behavioral adaptation. Emotion Review, 12, 23–38. https://doi.org/10.1177/1754073919876019CrossRef

Parker, J. D. A., Taylor, G. J., & Bagby, R. M. (2001). The relationship between emotional intelligence and alexithymia. Personality and Individual Differences, 30(1), 107–115. https://doi.org/10.1016/S0191-8869(00)00014-3CrossRef

Pascual-Leone, A., & Greenberg, L. S. (2007). Emotional processing in experiential therapy: Why “the only way out is through.” Journal of Consulting and Clinical Psychology, 75, 875–887. https://doi.org/10.1037/0022-006X.75.6.875CrossRefPubMed

Petrides, K. V., & Furnham, A. (2001). Trait emotional intelligence: Psychometric investigation with reference to established trait taxonomies. European Journal of Personality, 15(6), 425–448. https://doi.org/10.1002/per.416CrossRef

Pilkonis, P. A., Choi, S. W., Reise, S. P., Stover, A. M., Riley, W. T., Cella, D., & Group, P. C. (2011). Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): Depression, anxiety, and anger. Assessment, 18(3), 263–283. https://doi.org/10.1177/1073191111411667CrossRef

Ram, N., Brose, A., & Molenaar, P. C. (2013). Dynamic factor analysis: Modeling person-specific process. The Oxford Handbook of Quantitative Methods, 2, 441–457.

Ram, N., Rabbitt, P., Stollery, B., & Nesselroade, J. R. (2005). Cognitive performance inconsistency: Intraindividual change and variability. Psychology and Aging, 20(4), 623–633. https://doi.org/10.1037/0882-7974.20.4.623CrossRefPubMed

Roche, M. J., & Jacobson, N. C. (2018). Elections have consequences for student mental health: An accidental daily diary study. Psychological Reports. https://doi.org/10.1177/0033294118767365CrossRefPubMed

Roche, M. J., Jacobson, N. C., & Phillips, J. J. (2018). Expanding the validity of the Level of Personality Functioning Scale Observer Report and Self-Report versions across psychodynamic and interpersonal pparadigms. Journal of Personality Assessment, 100, 571–580. https://doi.org/10.1080/00223891.2018.1475394CrossRefPubMed

Roche, M. J., Jacobson, N. C., & Pincus, A. L. (2016). Using repeated daily assessments to uncover oscillating patterns and temporally-dynamic triggers in structures of psychopathology: Applications to the DSM-5 alternative model of personality disorders. Journal of Abnormal Psychology, 125(8), 1090–1102. https://doi.org/10.1037/abn0000177CrossRefPubMed

Roche, M. J., Jacobson, N. C., & Roche, C. A. (2017). Teaching strategies for personality assessment at the undergraduate level. Journal of Personality Assessment, 99, 117–125. https://doi.org/10.1080/00223891.2016.1147450CrossRefPubMed

Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39(6), 1161–1178. https://doi.org/10.1037/h0077714CrossRef

Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, 76(5), 805–819.CrossRefPubMed

Samuel, D. B., Hopwood, C. J., Krueger, R. F., Thomas, K. M., & Ruggero, C. J. (2013). Comparing methods for scoring personality disorder types using maladaptive traits in DSM-5. Assessment, 20(3), 353–361. https://doi.org/10.1177/1073191113486182CrossRefPubMed

Shin, K., Newman, M. G., & Jacobson, N. C. (2022). Emotion network density as a potential clinical marker: Comparison of ecological momentary assessment and daily diary. British Journal of Clinical Psychology, 61, 31–50. https://doi.org/10.1111/bjc.12295CrossRefPubMed

Shiota, M. N., Neufeld, S. L., Danvers, A. F., Osborne, E. A., Sng, O., & Yee, C. I. (2014). Positive emotion differentiation: A functional approach. Social and Personality Psychology Compass, 8, 104–117. https://doi.org/10.1111/spc3.12092CrossRef

Sleep, C. E., Hyatt, C. S., Lamkin, J., Maples-Keller, J. L., & Miller, J. D. (2018). Examining the relations among the DSM-5 alternative model of personality, the five-factor model, and externalizing and internalizing behavior. (1949–2723 (Electronic)).

Stanton, K., & Watson, D. (2014). Positive and negative affective dysfunction in psychopathology. Social and Personality Psychology Compass, 8(9), 555–567. https://doi.org/10.1111/spc3.12132CrossRef

Starr, L. R., Hershenberg, R., Li, Y. I., & Shaw, Z. A. (2017). When feelings lack precision: Low positive and negative emotion differentiation and depressive symptoms in daily life. Clinical Psychological Science, 5(4), 613–631. https://doi.org/10.1177/2167702617694657CrossRef

Suvak, M. K., Litz, B. T., Sloan, D. M., Zanarini, M. C., Barrett, L. F., & Hofmann, S. G. (2011). Emotional granularity and borderline personality disorder. Journal of Abnormal Psychology, 120(2), 414–426. https://doi.org/10.1037/a0021808CrossRefPubMedPubMedCentral

Tong, E. M. W., & Keng, S.-L. (2017). The relationship between mindfulness and negative emotion differentiation: A test of multiple mediation pathways. Mindfulness, 8(4), 933–942. https://doi.org/10.1007/s12671-016-0669-7CrossRef

Van Belle, G., Fisher, L. D., Heagerty, P. J., & Lumley, T. (2004). Biostatistics: A methodology for the health sciences (2nd ed., Vol. 519). Wiley.CrossRef

Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063CrossRefPubMed

Watson, D., & Naragon-Gainey, K. (2010). On the specificity of positive emotional dysfunction in psychopathology: Evidence from the mood and anxiety disorders and schizophrenia/schizotypy. Clinical Psychology Review, 30(7), 839–848. https://doi.org/10.1016/j.cpr.2009.11.002CrossRefPubMed

Wessman, A., & Ricks, D. (1966). Mood and personality. Holt, Rinehart, & Winston.

Wilt, J., Funkhouser, K., & Revelle, W. (2011). The dynamic relationships of affective synchrony to perceptions of situations. Journal of Research in Personality, 45, 309–321.CrossRef

Wright, A. G. C., Hallquist, M. N., Stepp, S. D., Scott, L. N., Beeney, J. E., Lazarus, S. A., & Pilkonis, P. A. (2016). Modeling heterogeneity in momentary interpersonal and affective dynamic processes in borderline personality disorder. Assessment, 23(4), 484–495. https://doi.org/10.1177/1073191116653829CrossRefPubMedPubMedCentral

Zaki, L. F., Coifman, K. G., Rafaeli, E., Berenson, K. R., & Downey, G. (2013). Emotion differentiation as a protective factor against nonsuicidal self-injury in borderline personality disorder. Behavior Therapy, 44(3), 529–540. https://doi.org/10.1016/j.beth.2013.04.008CrossRefPubMed

Zar, J. H. (2010). Biostatistical analysis (5th ed.). Prentice-Hall.

Titel: Low Emotional Complexity as a Transdiagnostic Risk Factor: Comparing Idiographic Markers of Emotional Complexity to Emotional Granularity as Predictors of Anxiety, Depression, and Personality Pathology
Auteurs: Nicholas C. Jacobson
Thane M. Erickson
Christina M. Quach
Narayan B. Singh
Publicatiedatum: 28-01-2023
Uitgeverij: Springer US
Gepubliceerd in: Cognitive Therapy and Research / Uitgave 2/2023
Print ISSN: 0147-5916
Elektronisch ISSN: 1573-2819
DOI: https://doi.org/10.1007/s10608-022-10347-4

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