Integrating structure and dynamics in personality assessment: First steps toward the development and validation of a personality dynamics diary.
Abstract
Both theories and cutting-edge research highlight the dynamic nature of personality and personality pathology, thereby posing significant challenges for an exclusively between-person, trait-based approach to personality assessment. In a series of 3 studies, we explored the viability of integrating within-person, dynamic aspects into clinical personality assessment by means of daily dairy methods. In the 1st study, 314 students filled out a 73-item questionnaire capturing daily behaviors and situation experiences across 7-10 consecutive days. We used multilevel exploratory factor analyses to construct a shortened version, the Personality Dynamics Diary (PDD). In the 2nd study, the PDD was applied in a sample of 77 psychotherapy inpatients across 40 days, on average. In the 3rd study, 35 psychotherapy outpatients as well as their therapists judged the clinical utility of a smartphone version of the PDD. Taken together, we were able to construct a relatively brief self-report measure that assesses major dimensions of within- and between-person differences of situations and behaviors in daily life with acceptable reliability. Application in clinical samples provided further evidence for the reliability, validity, and clinical utility of the PDD but also highlighted possible obstacles in clinical practice as well as the need for further replication and refinement. We conclude that daily diary methods have the potential to integrate within- and between-person approaches to personality assessment. By applying measures like the PDD, clinicians may gain insight into the psychological mechanisms that give rise to, and maintain, a person's maladaptive dispositions and ultimately find individualized leverage points for targeted therapeutic interventions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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There are findings that therapists report doubts on whether person-specific networks can provide new information.
“However, there are also findings that therapists report doubts on whether PSNs can provide new information [26, 28].”
From Using person-specific networks in psychotherapy: challenges, limitations, and how we could use them anyway (2020) · cites this paper as [28]
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Self-citationProactive Personality Measurement Using Item Response Theory and Social Media Text Mining
Zhu, G., Zhou, Y., Zhou, F., Wu, M., Zhan, X., Si, Y., Wang, P., & Jun, W. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.705005 · Cited by 9 · see citing works
Bader, M., Columbus, S., Zettler, I., & Mayer, A. (2024) · European Journal of Personality · doi:10.1177/08902070241246930 · Cited by 8 · see citing works
Clustering MBTI Personalities With Graph Filters And Self Organizing Maps Over Pinecone
Δρακόπουλος, Γ., & Phivos Mylonas, B. (2024) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata62323.2024.10825637 · Cited by 8 · see citing works
Zheng, H., & Zheng, Y. (2024) · Assessment · doi:10.1177/10731911241283908 · Cited by 7 · see citing works
Freudenstein, J., Schulze, J., Schäpers, P., Mussel, P., & Krumm, S. (2023) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000794 · Cited by 6 · see citing works
Journaling Data for Daily PHQ-2 Depression Prediction and Forecasting
Kathan, A., Triantafyllopoulos, A., He, X., Milling, M., Yan, T., Rajamani, S. T., Küster, L., Harrer, M., Heber, E., Großmann, I., et al. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871015 · Cited by 6 · see citing works
Bleidorn, W., Hopwood, C. J., Back, M. D., Denissen, J. J. A., Hennecke, M., Jokela, M. M., Kandler, C., Lucas, R. E., Luhmann, M., Orth, U., et al. (2020) · doi:10.31234/osf.io/krfw9 · Cited by 6 · see citing works
Self-citationHall, M., Wagner, A. A., Scherner, P. V., & Rubel, J. A. (2024) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.70013 · Cited by 5 · see citing works
Chaoyi, W. U., & Zhen, W. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2024.00364 · Cited by 5 · see citing works
Habib, F., Ali, Z., Azam, A., Kamran, K., & Pasha, F. M. (2024) · Frontiers in Big Data · doi:10.3389/fdata.2024.1387325 · Cited by 5 · see citing works
Translating the Transdiagnostic: Aligning Assessment Practices With Research Advances
Vize, C. E., & Wright, A. G. C. (2023) · Assessment · doi:10.1177/10731911231194996 · Cited by 6 · see citing works
Self-citationPERSONAL FACTORS OF PSYCHOLOGICAL WELL-BEING IN CONDITIONS OF SOCIOECONOMIC INSTABILITY
Overchuk, V., Смульсон, М. Л., Liashch, O., Ihnatovych, O., Kovalova, O., & Smokova, L. (2022) · AD ALTA: 12/02-XXXI. · doi:10.33543/120231.167172 · Cited by 3 · see citing works
Gander, F., Traut, A. C., Uhlich, M., Horstmann, K. T., Steppan, M., Ziegler, M. D., & Grob, A. (2025) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000906 · Cited by 4 · see citing works
Vize, C. E., Byrd, A. L., & Stepp, S. D. (2023) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-022-10017-5 · Cited by 5 · see citing works
Zimmermann, J., Witthöft, M., Cicero, D. C., Forbes, M. K., Hopwood, C. J., Kotov, R., Krueger, R. F., Sellbom, M., Simms, L. J., Wright, A. G. C., et al. (2024) · doi:10.31234/osf.io/kp8yx · Cited by 4 · see citing works
Self-citationThe psychometric property testing of creativity disposition scale among basic education students
Saengpanya, W., Upasen, R., Kaewkohsaba, S., & Jumnaksarn, S. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105390 · Cited by 3 · see citing works
The Functional Domain of Affect Regulation
Altimir, C., de la Cerda, C., & Dagnino, P. (2021) · Depression and personality · doi:10.1007/978-3-030-70699-9_3 · Cited by 3 · see citing works
Heekerens, J. B., Gross, J. J., Kreibig, S. D., Wingenfeld, K., & Roepke, S. (2023) · BMC Psychology · doi:10.1186/s40359-023-01209-z · Cited by 3 · see citing works
Downscaling with benefits: A road forward for capturing intra-individual variations in personality
Schock, A.-K., Hausinger, T., & Pletzer, B. A. (2024) · Personality and Individual Differences · doi:10.1016/j.paid.2024.112636 · Cited by 3 · see citing works
Assessing Personality Change: Introduction to the Special Section
Hopwood, C. J., Bleidorn, W., & Zimmermann, J. (2022) · Journal of Personality Assessment · doi:10.1080/00223891.2022.2041650 · Cited by 3 · see citing works
Self-citationDowgwillo, E. A., & Pincus, A. L. (2025) · Journal of Personality Assessment · doi:10.1080/00223891.2025.2584681 · Cited by 2 · see citing works
Assessment of Internalizing Disorders
Naragon‐Gainey, K., McMahon, T. P., & Park, J. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190092689.013.20 · Cited by 2 · see citing works
Personality dynamics: The integration of process and trait
Wu, F., & Yueqin, H. U. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2023.01269 · Cited by 2 · see citing works
An Intelligent Clinical Psychological Assessment Method Based on AHP-LSSVR Model
Su, J., & Wang, D. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/7584675 · Cited by 2 · see citing works
Data Protection—Issues and Perspectives
Gupta, I. (2024) · Springer eBooks · doi:10.1007/978-981-99-6778-0_4 · Cited by 1 · see citing works
The (in)distinguishability of Machiavellianism and psychopathy? Discovering the daily dynamics
Walczak, D., Rogoza, R., & Jones, D. N. (2026) · Journal of Research in Personality · doi:10.1016/j.jrp.2026.104710 · Cited by 1 · see citing works
TYDR: Track Your Daily Routine
Beierle, F. (2021) · T-labs series in telecommunication services · doi:10.1007/978-3-030-68840-0_4 · Cited by 1 · see citing works
Predicting adherence to ecological momentary assessments
Beierle, F., Chada, W., Aizawa, A., & Pryss, R. C. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124738 · Cited by 1 · see citing works
Dynamic links between daily anxiety symptoms and young adults’ daily well-being
Li, K., Cooke, E. M., & Zheng, Y. (2024) · Anxiety Stress & Coping · doi:10.1080/10615806.2024.2403437 · Cited by 1 · see citing works
Advances in ESM-Derived Feedback Integrated into Psychotherapy
Hall, M., Servaas, M. N., & Riese, H. (2025) · CBT: science into practice · doi:10.1007/978-3-031-90428-8_8 · Cited by 1 · see citing works
Wendt, L. P., Kerber, A., Müller, S., & Zimmermann, J. (2024) · doi:10.31234/osf.io/n8yek · Cited by 1 · see citing works
Self-citationCarnovale, M., & Bagby, R. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108333931.060
Evans, C. M., Williams, T. F., & Simms, L. J. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108333931.061
Beierle, F. (2021) · T-labs series in telecommunication services · doi:10.1007/978-3-030-68840-0_1
Psychiatrická klinika LF UK a UNB v Bratislave, S. R., Dančík, D., Hajdúk, M., & Heretik, A. (2022) · E-psychologie · doi:10.29364/epsy.448
Heekerens, J. B., Gross, J. J., Kreibig, S. D., Wingenfeld, K., & Röpke, S. (2023) · doi:10.31234/osf.io/aq63g
The Effects of Stress Beliefs on Daily Affective Stress Responses.Preprint
Laferton, J., Fischer, S., Ebert, D., Stenzel, N., & Zimmermann, J. (2019) · Annals of Behavioral Medicine · doi:10.31234/osf.io/hb8y6_v1 · Cited by 28 · see citing works
Self-citationBurger, J., van der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020) · Figshare · doi:10.6084/m9.figshare.12511520
The Hierarchical Taxonomy of Psychology (HiTOP)
Pham, T., & Forbes, M. K. (2026) · Oxford University Press eBooks · doi:10.1093/9780197769676.003.0006
Caught in the Act: Predicting Cheating in Unproctored Knowledge AssessmentPreprint
Schroeders, U., Wilhelm, O., & Steger, D. (2020) · OSF Preprints (OSF Preprints)
Blasco‐Belled, A., Alsinet, C., Walczak, D., & Rogoza, R. (2026) · European Journal of Personality · doi:10.1177/08902070261484232
- Authors
- Zimmermann, J., Woods, W. C., Ritter, S., Happel, M., Masuhr, O., Jaeger, U., Spitzer, C., & Wright, A. G. C.
- Affiliations
- Psychologische Hochschule Berlin (DE)
- University of Pittsburgh (US)
- University of Kassel (DE)
- Asklepios (DE)
- Asklepios Fachklinikum Tiefenbrunn (DE)
- Venue
- Psychological Assessment
- Published
- 2019-04
- Volume
- 31
- Issue
- 4
- Pages
- 516-531
- ISSN
- 1040-3590 (ISSN-L)
- 1939-134X
- OpenAlex
- W2921133574
- Cited by
- 87
- References
- 57
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 12 · 2023: 10 · 2022: 12 · 2021: 12 · 2020: 21 · 2019: 10 · 2018: 2
- FWCI
- 16.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Assessment (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- personality dynamics, within-person variability, daily diary method, personality assessment, personality pathology, self-report measure development, psychometric validation, smartphone diaries, clinical utility
- MeSH terms
- Diaries as Topic, Adult, Factor Analysis, Statistical, Female, Humans, Longitudinal Studies, Male, Middle Aged, Personality Assessment, Personality Disorders, Reproducibility of Results, Self Report
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