Bridging the Nomothetic and Idiographic Approaches to the Analysis of Clinical Data

A new look at the statistical model identification

Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879 · see citing works

Confirmatory factor analysis for applied research

Brown, T. A. (2007) · Choice Reviews Online · doi:10.5860/choice.44-2769 · Cited by 15,613 · see citing works

Research domain criteria (RDoC): toward a new classification framework for research on mental disorders

Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D. S., Quinn, K., Sanislow, C., & Wang, P. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09091379 · Cited by 7,067 · see citing works

New Introduction to Multiple Time Series Analysis

Lütkepohl, H. (2005) · Springer eBooks · doi:10.1007/978-3-540-27752-1 · Cited by 5,972 · see citing works

The PANAS-X: Manual for the Positive and Negative Affect Schedule - Expanded Form

Watson, D., & Clark, L. A. (1994) · doi:10.17077/48vt-m4t2 · Cited by 3,697 · see citing works

A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever

Molenaar, P. C. M. (2004) · Measurement: Interdisciplinary Research & Perspective · doi:10.1207/s15366359mea0204_1 · Cited by 1,943 · see citing works

Network modelling methods for FMRI

Smith, S. M., Miller, K. L., Salimi-Khorshidi, G., Webster, M., Beckmann, C. F., Nichols, T. E., Ramsey, J. D., & Woolrich, M. W. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.063 · Cited by 1,878 · see citing works

The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry

Insel, T. R. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14020138 · Cited by 1,472 · see citing works

The new person-specific paradigm in psychology

Molenaar, P. C. M., & Campbell, C. G. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01619.x · Cited by 1,088 · see citing works

The problem of equivalent models in applications of covariance structure analysis.

MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.1.185 · Cited by 912 · see citing works

Modeling Contextual Effects in Longitudinal Studies

(2007) · Routledge eBooks · doi:10.4324/9780203936825 · Cited by 793 · see citing works

Dynamic Systems Theories

Thelen, E., & Smith, L. B. (2007) · Handbook of Child Psychology · doi:10.1002/9780470147658.chpsy0106 · Cited by 729 · 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

A Dynamic Factor Model for the Analysis of Multivariate Time Series

Molenaar, P. C. M. (1985) · Psychometrika · doi:10.1007/bf02294246 · Cited by 480 · see citing works

Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

Gates, K. M., & Molenaar, P. C. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.026 · Cited by 478 · see citing works

Dimensions of Normal Personality as Networks in Search of Equilibrium: You Can't like Parties if you Don't like People

Cramer, A. O. J., van der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S. H., Kendler, K. S., & Borsboom, D. (2012) · European Journal of Personality · doi:10.1002/per.1866 · Cited by 475 · see citing works

Model Modification in Covariance Structure Modeling: A Comparison among Likelihood Ratio, Lagrange Multiplier, and Wald Tests

Chou, C., & Bentler, P. M. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2501_13 · Cited by 411 · see citing works

Revealing the dynamic network structure of the Beck Depression Inventory-II

Bringmann, L. F., Lemmens, L. H. J. M., Huibers, M. J. H., Borsboom, D., & Tuerlinckx, F. (2015) · Psychological Medicine · doi:10.1017/s0033291714001809 · Cited by 371 · see citing works

The three basic factor-analytic research designs—their interrelations and derivatives.

Cattell, R. B. (1952) · Psychological Bulletin · doi:10.1037/h0054245 · Cited by 336 · see citing works

Using simple and complex growth models to articulate developmental change: Matching theory to method

Ram, N., & Grimm, K. J. (2007) · International Journal of Behavioral Development · doi:10.1177/0165025407077751 · Cited by 290 · see citing works

Dynamic systems methods for models of developmental psychopathology

Granic, I., & Hollenstein, T. (2003) · Development and Psychopathology · doi:10.1017/s0954579403000324 · Cited by 241 · see citing works

Experimental aging research

(1975) · Pharmacology Biochemistry and Behavior · doi:10.1016/0091-3057(75)90204-x · Cited by 237 · see citing works

Unified structural equation modeling approach for the analysis of multisubject, multivariate functional MRI data

Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) · Human Brain Mapping · doi:10.1002/hbm.20259 · Cited by 236 · see citing works

Quantifying heterogeneity attributable to polythetic diagnostic criteria: Theoretical framework and empirical application.

Olbert, C. M., Gala, G. J., & Tupler, L. A. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0036068 · Cited by 209 · see citing works

The Big Five as States: How Useful Is the Five-Factor Model to Describe Intraindividual Variations over Time?

Borkenau, P., & Ostendorf, F. (1998) · Journal of Research in Personality · doi:10.1006/jrpe.1997.2206 · Cited by 200 · see citing works

Automatic search for fMRI connectivity mapping: an alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM

Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.117 · Cited by 171 · see citing works

Bridging the representational gap in the dynamic systems approach to development

Spencer, J. P., & Schöner, G. (2003) · Developmental Science · doi:10.1111/1467-7687.00295 · Cited by 166 · see citing works

Idiographic assessment: Conceptual and psychometric foundations of individualized behavioral assessment

Haynes, S. N., Mumma, G. H., & Pinson, C. (2009) · Clinical Psychology Review · doi:10.1016/j.cpr.2008.12.003 · Cited by 142 · see citing works

Extended unified SEM approach for modeling event-related fMRI data

Gates, K. M., Molenaar, P. C. M., Hillary, F. G., & Slobounov, S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.051 · Cited by 125 · see citing works

Multivariate, replicated, single-subject, repeated measures designs and p-technique factor analysis: A review of intraindividual change studies

Jones, C. J., & Nesselroade, J. R. (1990) · Experimental Aging Research · doi:10.1080/03610739008253874 · Cited by 95 · see citing works

Clarifying Interpersonal Heterogeneity in Borderline Personality Disorder Using Latent Mixture Modeling

Wright, A. G. C., Hallquist, M. N., Morse, J. Q., Scott, L. N., Stepp, S. D., Nolf, K. A., & Pilkonis, P. A. (2013) · Journal of Personality Disorders · doi:10.1521/pedi.2013.27.2.125 · Cited by 91 · see citing works

Personalized State-space Modeling of Glucose Dynamics for Type 1 Diabetes Using Continuously Monitored Glucose, Insulin Dose, and Meal Intake

Wang, Q., Molenaar, P. C. M., Harsh, S., Freeman, K. A., Xie, J., Gold, C. H., Rovine, M., & Ulbrecht, J. S. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814524080 · Cited by 90 · see citing works

Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis

Wright, A. G. C., Beltz, A. M., Gates, K. M., Molenaar, P. C. M., & Simms, L. J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01914 · Cited by 82 · see citing works

The Recoverability of P-technique Factor Analysis

Molenaar, P. C. M., & Nesselroade, J. R. (2009) · Multivariate Behavioral Research · doi:10.1080/00273170802620204 · Cited by 74 · see citing works

The Construct of Effortful Control: An Approach to Borderline Personality Disorder Heterogeneity

Hoermann, S., Clarkin, J. F., Hull, J. W., & Levy, K. N. (2005) · Psychopathology · doi:10.1159/000084815 · Cited by 61 · see citing works

Associations between changes in normal personality traits and borderline personality disorder symptoms over 16 years.

Wright, A. G. C., Hopwood, C. J., & Zanarini, M. C. (2014) · Personality Disorders Theory Research and Treatment · doi:10.1037/per0000092 · Cited by 52 · see citing works

Dealing with Multiple Solutions in Structural Vector Autoregressive Models

Beltz, A. M., & Molenaar, P. C. M. (2016) · Multivariate Behavioral Research · doi:10.1080/00273171.2016.1151333 · Cited by 45 · see citing works

A Dynamic Systems Approach to Personality

Pervin, L. A. (2001) · European Psychologist · doi:10.1027//1016-9040.6.3.172 · Cited by 42 · see citing works

Changes in alcohol-related brain networks across the first year of college: a prospective pilot study using fMRI effective connectivity mapping

Beltz, A. M., Gates, K. M., Engels, A. S., Molenaar, P. C. M., Pulido, C., Turrisi, R., Berenbaum, S. A., Gilmore, R. O., & Wilson, S. J. (2013) · Addictive Behaviors · doi:10.1016/j.addbeh.2012.12.023 · Cited by 36 · see citing works

iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models

Liu, S., & Molenaar, P. C. M. (2014) · Behavior Research Methods · doi:10.3758/s13428-014-0444-4 · Cited by 35 · see citing works

Mapping Temporal Dynamics in Social Interactions With Unified Structural Equation Modeling: A Description and Demonstration Revealing Time-Dependent Sex Differences in Play Behavior

Beltz, A. M., Beekman, C. R., Molenaar, P. C. M., & Buss, K. A. (2013) · Applied Developmental Science · doi:10.1080/10888691.2013.805953 · Cited by 35 · see citing works

Statistics and Causality

(2016) · Wiley series in probability and statistics · doi:10.1002/9781118947074 · Cited by 35 · see citing works

Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models

Song, H., & Zhang, Z. J. (2014) · Multivariate Behavioral Research · doi:10.1080/00273171.2013.851018 · Cited by 27 · see citing works

Using within-subject pattern classification to understand lifespan age differences in oscillatory mechanisms of working memory selection and maintenance

Karch, J. D., Sander, M. C., von Oertzen, T., Brandmaier, A. M., & Werkle‐Bergner, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.038 · Cited by 24 · see citing works

State space modeling of time-varying contemporaneous and lagged relations in connectivity maps

Molenaar, P. C. M., Beltz, A. M., Gates, K. M., & Wilson, S. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.088 · Cited by 23 · see citing works

A posteriori model validation for the temporal order of directed functional connectivity maps

Beltz, A. M., & Molenaar, P. C. M. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00304 · Cited by 22 · see citing works

Maintained Individual Data Distributed Likelihood Estimation (MIDDLE)

Boker, S. M., Brick, T. R., Pritikin, J. N., Wang, Y., von Oertzen, T., Brown, D. E., Lach, J., Estabrook, R., Hunter, M. D., MAES, H. H. M., et al. (2015) · Multivariate Behavioral Research · doi:10.1080/00273171.2015.1094387 · Cited by 20 · see citing works

Estimation of Subject-Specific Heritabilities From Intra-Individual Variation: iFACE

Molenaar, P. C. M., Smit, D. J. A., Boomsma, D. I., & Nesselroade, J. R. (2012) · Twin Research and Human Genetics · doi:10.1017/thg.2012.9 · Cited by 19 · see citing works

Advancing New Frontiers With Clinical Psychological Science

Kazdin, A. E. (2012) · Clinical Psychological Science · doi:10.1177/2167702612450145 · Cited by 4 · see citing works

The alliance in adult psychotherapy: A meta-analytic synthesis

Flückiger, C., Del Re, A. C., Wampold, B. E., & Horvath, A. O. (2018) · Psychotherapy · doi:10.1037/pst0000172 · Cited by 1,763 · see citing works

Variable-Centered, Person-Centered, and Person-Specific Approaches: Where Theory Meets the Method

Howard, M. C., & Hoffman, M. E. (2018) · Organizational Research Methods · doi:10.1177/1094428117744021 · Cited by 1,121 · 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

A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.

McNeish, D., & Hamaker, E. L. (2019) · Psychological Methods · doi:10.1037/met0000250 · Cited by 603 · see citing works

At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study

Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1446819 · Cited by 549 · see citing works

Drivers of human development: How relationships and context shape learning and development ¹

Osher, D., Cantor, P., Berg, J., Steyer, L., & Rose, T. (2020) · Applied Developmental Science · doi:10.1080/10888691.2017.1398650 · Cited by 484 · see citing works

Reflections on Positive Emotions and Upward Spirals

Fredrickson, B. L., & Joiner, T. E. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617692106 · Cited by 423 · see citing works

Evidence that psychopathology symptom networks have limited replicability.

Forbes, M. K., Wright, A. G. C., Markon, K. E., & Krueger, R. F. (2017) · Journal of Abnormal Psychology · doi:10.1037/abn0000276 · Cited by 363 · see citing works

Psychopathological networks: Theory, methods and practice

Bringmann, L. F., Albers, C. J., Bockting, C., Borsboom, D., Ceulemans, E., Cramer, A. O. J., Epskamp, S., Eronen, M. I., Hamaker, E. L., Kuppens, P., et al. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.104011 · Cited by 297 · see citing works

Personalized Models of Psychopathology

Wright, A. G. C., & Woods, W. C. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-102419-125032 · Cited by 281 · see citing works

m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice

Mestdagh, M., Verdonck, S., Piot, M., Niemeijer, K., Kilani, G., Tuerlinckx, F., Kuppens, P., & Dejonckheere, E. (2023) · Frontiers Digit. Health · doi:10.3389/fdgth.2023.1182175 · Cited by 175 · see citing works

Interpersonal Dynamics in Personality and Personality Disorders

Hopwood, C. J. (2018) · European Journal of Personality · doi:10.1002/per.2155 · Cited by 229 · see citing works

Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits

Mõttus, R., Wood, D., Condon, D. M., Back, M. D., Baumert, A., Costantini, G., Epskamp, S., Greiff, S., Johnson, W., Lukaszewski, A. W., et al. (2020) · European Journal of Personality · doi:10.1002/per.2311 · Cited by 229 · see citing works

Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.

Wright, A. G. C., & Zimmermann, J. (2019) · Psychological Assessment · doi:10.1037/pas0000685 · Cited by 204 · see citing works

The reciprocal relationship between alliance and early treatment symptoms: A two-stage individual participant data meta-analysis

Flückiger, C., Rubel, J., Del Re, A. C., Horvath, A. O., Wampold, B. E., Crits-Christoph, P., Atzil-Slonim, D., Compare, A., Falkenström, F., Ekeblad, A., et al. (2020) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000594 · Cited by 180 · see citing works

Network Mapping with GIMME

Beltz, A. M., & Gates, K. M. (2017) · Multivariate Behavioral Research · doi:10.1080/00273171.2017.1373014 · Cited by 161 · see citing works

A review of approaches and models in psychopathology conceptualization research

Eaton, N. R., Bringmann, L. F., Elmer, T., Fried, E. I., Forbes, M. K., Greene, A. L., Krueger, R. F., Kotov, R., McGorry, P. D., Mei, C., et al. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00218-4 · Cited by 153 · see citing works

The Role of Time in the Quest for Understanding Psychological Mechanisms

Voelkle, M., Gische, C., Driver, C. C., & Lindenberger, U. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1496813 · Cited by 97 · see citing works

A theoretical framework for the associations between identity and psychopathology.

Klimstra, T. A., & Denissen, J. J. A. (2017) · Developmental Psychology · doi:10.1037/dev0000356 · Cited by 150 · see citing works

Analysis of sex differences in pre-clinical and clinical data sets

Beltz, A. M., Beery, A. K., & Becker, J. B. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0524-3 · Cited by 115 · see citing works

Ovarian hormones: a long overlooked but critical contributor to cognitive brain structures and function

Beltz, A., & Moser, J. (2020) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14255 · Cited by 98 · see citing works

Focusing personality assessment on the person: Modeling general, shared, and person specific processes in personality and psychopathology.

Wright, A. G. C., Gates, K. M., Arizmendi, C., Lane, S., Woods, W. C., & Edershile, E. A. (2019) · Psychological Assessment · doi:10.1037/pas0000617 · Cited by 107 · see citing works

Person-specific networks in psychopathology: Past, present, and future

Bringmann, L. F. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.03.004 · Cited by 110 · see citing works

The dynamics, processes, mechanisms, and functioning of personality: An overview of the field

Kuper, N., Modersitzki, N., Phan, L. V., & Rauthmann, J. F. (2021) · British Journal of Psychology · doi:10.1111/bjop.12486 · Cited by 107 · see citing works

Racial discrimination and racial identity: Daily moderation among Black youth.

Seaton, E. K., & Iida, M. (2019) · American Psychologist · doi:10.1037/amp0000367 · Cited by 105 · see citing works

Advancing the Assessment of Dynamic Psychological Processes

Wright, A. G. C., & Hopwood, C. J. (2016) · Assessment · doi:10.1177/1073191116654760 · Cited by 95 · see citing works

Integrating structure and dynamics in personality assessment: First steps toward the development and validation of a personality dynamics diary.

Zimmermann, J., Woods, W. C., Ritter, S., Happel, M., Masuhr, O., Jaeger, U., Spitzer, C., & Wright, A. G. C. (2019) · Psychological Assessment · doi:10.1037/pas0000625 · Cited by 87 · see citing works

Directional Ordering of Self-Concept, School Grades, and Standardized Tests Over Five Years: New Tripartite Models Juxtaposing Within- and Between-Person Perspectives

Marsh, H. W., Pekrun, R. H., & Lüdtke, O. (2022) · Educational Psychology Review · doi:10.1007/s10648-022-09662-9 · Cited by 102 · see citing works

Feasibility and utility of idiographic models in the clinic: A pilot study

Frumkin, M. R., Piccirillo, M. L., Beck, E. D., Grossman, J. T., & Rodebaugh, T. L. (2020) · Psychotherapy Research · doi:10.1080/10503307.2020.1805133 · Cited by 87 · see citing works

Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients

Hebbrecht, K., Stuivenga, M., Birkenhäger, T., Morrens, M., Fried, E. I., Sabbe, B., & Giltay, E. J. (2020) · BMC Medicine · doi:10.1186/s12916-020-01867-5 · Cited by 70 · see citing works

Multilevel structural equation modeling for intensive longitudinal data: A practical guide for personality researchers

Sadikaj, G., Wright, A. G. C., Dunkley, D. M., Zuroff, D. C., & Moskowitz, D. S. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-813995-0.00033-9 · Cited by 62 · see citing works

Intensive Interventions for Students With Emotional and Behavioral Disorders

Maggin, D. M., Wehby, J. H., Farmer, T. W., & Brooks, D. S. (2016) · Journal of Emotional and Behavioral Disorders · doi:10.1177/1063426616661498 · Cited by 61 · see citing works

Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and Health

Mengelkoch, S., Moriarity, D. P., Novak, A. M., Snyder, M. P., Slavich, G. M., & Lev‐Ari, S. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm13010024 · Cited by 55 · see citing works

Digital phenotyping for psychiatry: accommodating data and theory with network science methodologies

Lydon‐Staley, D. M., Barnett, I., Satterthwaite, T. D., & Bassett, D. S. (2018) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2018.12.003 · Cited by 55 · see citing works

Person‐specific versus multilevel autoregressive models: Accuracy in parameter estimates at the population and individual levels

Liu, S. (2017) · British Journal of Mathematical and Statistical Psychology · doi:10.1111/bmsp.12096 · Cited by 54 · see citing works

Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention

Phatak, S. S., Freigoun, M. T., Martín, C. A., Rivera, D. E., Korinek, E. V., Adams, M. A., Buman, M. P., Klasnja, P., & Hekler, E. B. (2018) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2018.01.010 · Cited by 53 · see citing works

A complex network approach to clinical science

Hofmann, S. G., & Curtiss, J. (2018) · European Journal of Clinical Investigation · doi:10.1111/eci.12986 · Cited by 52 · see citing works

The current state and future of factor analysis in personality disorder research.

Wright, A. G. C. (2017) · Personality Disorders Theory Research and Treatment · doi:10.1037/per0000216 · Cited by 52 · see citing works

Integrating a functional view on suicide risk into idiographic statistical models

Kaurin, A., Dombrovski, A. Y., Hallquist, M. N., & Wright, A. G. C. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.104012 · Cited by 53 · see citing works

Modeling Heterogeneity in Momentary Interpersonal and Affective Dynamic Processes in Borderline Personality Disorder

Wright, A. G. C., Hallquist, M. N., Stepp, S. D., Scott, L. N., Beeney, J. E., Lazarus, S. A., & Pilkonis, P. A. (2016) · Assessment · doi:10.1177/1073191116653829 · Cited by 51 · see citing works

Testing the structure and process of personality using ambulatory assessment data: An overview of within-person and person-specific techniques.

Hofmans, J., Clercq, B. J. D., Kuppens, P., Verbeke, L., & Widiger, T. A. (2019) · Psychological Assessment · doi:10.1037/pas0000562 · Cited by 50 · see citing works

Adolescent Emotion Network Dynamics in Daily Life and Implications for Depression

Lydon‐Staley, D. M., Xia, M., Mak, H. W., & Fosco, G. M. (2018) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-018-0474-y · Cited by 49 · see citing works

Personalized models of psychopathology as contextualized dynamic processes: An example from individuals with borderline personality disorder.

Woods, W. C., Arizmendi, C., Gates, K. M., Stepp, S. D., Pilkonis, P. A., & Wright, A. G. C. (2020) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000472 · Cited by 45 · see citing works

Latent variable GIMME using model implied instrumental variables (MIIVs).

Gates, K. M., Fisher, Z. F., & Bollen, K. A. (2019) · Psychological Methods · doi:10.1037/met0000229 · Cited by 46 · see citing works

Heterogeneity in Individual Network Analysis: Reality or Illusion?

Hoekstra, R. H. A., Epskamp, S., & Borsboom, D. (2022) · Multivariate Behavioral Research · doi:10.1080/00273171.2022.2128020 · Cited by 42 · see citing works

Averting the next credibility crisis in psychological science: Within-person methods for personalized diagnostics and intervention.

Moeller, J. (2022) · Journal for Person-Oriented Research · doi:10.17505/jpor.2021.23795 · Cited by 41 · see citing works

New diagnosis in psychiatry: beyond heuristics

McGorry, P. D., Hickie, I. B., Kotov, R., Schmaal, L., Wood, S. J., Allan, S. M., Altınbaş, K., Boyce, N., Bringmann, L. F., Caspi, A., et al. (2025) · Psychological Medicine · doi:10.1017/s003329172400223x · Cited by 42 · see citing works

Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation

Moeller, J., Viljaranta, J., Tolvanen, A. J., Kracke, B., & Dietrich, J. (2022) · Learning and Instruction · doi:10.1016/j.learninstruc.2022.101653 · Cited by 41 · see citing works

Factor analysis in personality disorders research: Modern issues and illustrations of practical recommendations.

Watts, A. L., Greene, A. L., Ringwald, W. R., Forbes, M. K., Brandes, C. M., Levin-Aspenson, H. F., & Delawalla, C. N. (2023) · Personality Disorders Theory Research and Treatment · doi:10.1037/per0000581 · Cited by 44 · see citing works

Hormonal contraceptive influences on cognition and psychopathology: Past methods, present inferences, and future directions

Beltz, A. M. (2022) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2022.101037 · Cited by 39 · see citing works

Network Physiology of Exercise: Beyond Molecular and Omics Perspectives

Balagué, N., Hristovski, R., Almarcha, M., García‐Retortillo, S., & Ivanov, P. C. (2022) · Sports Medicine - Open · doi:10.1186/s40798-022-00512-0 · Cited by 40 · see citing works

The future is dynamic: A call for intensive longitudinal data in immunopsychiatry

Moriarity, D. P., & Slavich, G. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.06.002 · Cited by 35 · see citing works

Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results

Ponnada, A., Wang, S. D., Chu, D., Do, B., Dunton, G. F., & Intille, S. S. (2021) · JMIR Formative Research · doi:10.2196/32772 · Cited by 38 · see citing works

Idiographic patient reported outcome measures (I‐PROMs) for routine outcome monitoring in psychological therapies: Position paper

Sales, C. M. D., Ashworth, M. J., Ayis, S. A., Barkham, M., Edbrooke-Childs, J. H., Faísca, L., Jacob, J., Xu, D., & Cooper, M. (2022) · Journal of Clinical Psychology · doi:10.1002/jclp.23319 · Cited by 38 · see citing works

The Binge Eating Genetics Initiative (BEGIN): study protocol

Bulik, C. M., Butner, J., Tregarthen, J., Thornton, L. M., Flatt, R. E., Smith, T., Carroll, I. M., Baucom, B., & Deboeck, P. R. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02698-7 · Cited by 36 · see citing works

Evidence for the Upward Spiral Stands Steady: A Response to Nickerson (2018)

Fredrickson, B. L., & Kok, B. E. (2018) · Psychological Science · doi:10.1177/0956797617707319 · Cited by 34 · see citing works

Bringing Back the Person into Behavioural Personality Science Using Big Data

Renner, K., Klee, S., & von Oertzen, T. (2020) · European Journal of Personality · doi:10.1002/per.2303 · Cited by 31 · see citing works

Analysis of dynamic psychological processes to understand and promote physical activity behaviour using intensive longitudinal methods: a primer

Ruissen, G. R., Zumbo, B. D., Rhodes, R. E., Puterman, E. M., & Beauchamp, M. R. (2021) · Health Psychology Review · doi:10.1080/17437199.2021.1987953 · Cited by 34 · see citing works

Capturing where the learning process takes place: A person-specific and person-centered primer

Saqr, M., Vogelsmeier, L. V. D. E., & López‐Pernas, S. (2024) · Learning and Individual Differences · doi:10.1016/j.lindif.2024.102492 · Cited by 32 · see citing works

Personalized models of personality disorders: using a temporal network method to understand symptomatology and daily functioning in a clinical sample

Dotterer, H. L., Beltz, A. M., Foster, K. T., Simms, L. J., & Wright, A. G. C. (2019) · Psychological Medicine · doi:10.1017/s0033291719002563 · Cited by 31 · see citing works

Idiographic artificial intelligence to explain students' self-regulation: Toward precision education

Saqr, M., Cheng, R., López‐Pernas, S., & Beck, E. D. (2024) · Learning and Individual Differences · doi:10.1016/j.lindif.2024.102499 · Cited by 34 · see citing works

Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder

Arend, A., Kaiser, T., Pannicke, B., Reichenberger, J., Naab, S., Voderholzer, U., & Jens Blechert, A. (2022) · JMIR Medical Informatics · doi:10.2196/41513 · Cited by 31 · see citing works

Determining menstrual cycle phase: An empirical examination of methodologies and recommendations for improvement in behavioral and brain sciences

Gloe, L. M., Block, S. R., Klump, K. L., Beltz, A. M., & Moser, J. S. (2023) · Hormones and Behavior · doi:10.1016/j.yhbeh.2023.105421 · Cited by 30 · see citing works

Instructor and peer bullying in college students: Distinct typologies based on Latent Class Analysis

Marraccini, M. E., Brick, L. A. D., & Weyandt, L. L. (2018) · Journal of American College Health · doi:10.1080/07448481.2018.1454926 · Cited by 34 · see citing works

What about “space” is important for episodic memory?

Fan, C. L., Sokolowski, H. M., Rosenbaum, R. S., & Levine, B. (2023) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1645 · Cited by 29 · see citing works

Group-level analysis of engagement poorly reflects individual students’ processes: Why we need idiographic learning analytics

Saqr, M. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107991 · Cited by 29 · see citing works

From persons to general principles: Methodological decisions for idiographic and nomothetic research

Kuper, N., Andresen, P. K., Beck, E. D., Costantini, G., Hamaker, E. L., Wright, A. G. C., & Zimmermann, J. (2024) · European Journal of Personality · doi:10.1177/08902070241278020 · Cited by 28 · see citing works

The best of both worlds? General principles of psychopathology in personalized assessment.

Olthof, M., Hasselman, F., Aas, B., Lamoth, D., Scholz, S., Daniels-Wredenhagen, N., Goldbeck, F., Weinans, E., Strunk, G., Schiepek, G. K., et al. (2023) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000858 · Cited by 27 · see citing works

Functional Analysis Is Dead: Long Live Functional Analysis

Hofmann, S. G., & Hayes, S. C. (2018) · Clinical Psychological Science · doi:10.1177/2167702618805513 · Cited by 27 · see citing works

How should we investigate variation in the relation between social media and well-being?Preprint

Johannes, N., Masur, P. K., Vuorre, M., & Przybylski, A. (2021) · Meta-Psychology · doi:10.31234/osf.io/xahbg · Cited by 24 · see citing works

Descriptive, predictive and explanatory personality research: Different goals, different approaches, but a shared need to move beyond the Big Few traitsPreprint

Mõttus, R., Wood, D., Condon, D. M., Back, M. D., Baumert, A., Costantini, G., Epskamp, S., Greiff, S., Johnson, W., Lukaszewski, A. W., et al. (2020) · doi:10.31234/osf.io/hvk5p · Cited by 27 · see citing works

Cracking Chicken-Egg Conundrums: Juxtaposing Contemporaneous and Lagged Reciprocal Effects Models of Academic Self-Concept and Achievement’s Directional Ordering

Marsh, H. W., Guo, J., Pekrun, R. H., Lüdtke, O., & Núñez‐Regueiro, F. (2024) · Educational Psychology Review · doi:10.1007/s10648-024-09887-w · Cited by 30 · see citing works

Conceptualizing and Examining Change in Communication Research

Brinberg, M., & Lydon‐Staley, D. M. (2023) · Communication Methods and Measures · doi:10.1080/19312458.2023.2167197 · Cited by 28 · see citing works

How are you doing? The person-specificity of daily links between neuroticism and physical health

Kelly, D. P., Weigard, A. S., & Beltz, A. M. (2020) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2020.110194 · Cited by 23 · see citing works

Prenatal androgen influences on the brain: A review, critique, and illustration of research on congenital adrenal hyperplasia

Beltz, A. M., Demidenko, M. I., Wilson, S. J., & Berenbaum, S. A. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24900 · Cited by 25 · see citing works

A Manifesto for More Productive Psychological Games Research

Ballou, N. (2023) · Games Research and Practice · doi:10.1145/3582929 · Cited by 25 · see citing works

Insight Into Individual Differences in Emotion Dynamics With Clustering

Ernst, A. F., Timmerman, M. E., Jeronimus, B. F., & Albers, C. J. (2019) · Assessment · doi:10.1177/1073191119873714 · Cited by 24 · see citing works

The direction of effects between parenting and adolescent affective well-being in everyday life is family specific

Boele, S., Bülow, A., Beltz, A. M., de Haan, A. D., Denissen, J. J. A., & Keijsers, L. (2023) · Scientific Reports · doi:10.1038/s41598-023-43294-5 · Cited by 23 · see citing works

Generalizability Crisis Meets Heterogeneity Revolution: Determining Under Which Boundary Conditions Findings Replicate and GeneralizePreprint

Moeller, J., Dietrich, J., Neubauer, A. B., Brose, A., Kühnel, J., Dehne, M., Jaehne, M. F., Schmiedek, F., Bellhäuser, H., Malmberg, L., et al. (2022) · doi:10.31234/osf.io/5wsna · Cited by 23 · see citing works

WITHDRAWNPreprint

Forbes, M. K., Wright, A. G. C., Markon, K. E., Markon, K. E., & Krueger, R. F. (2017) · doi:10.31219/osf.io/xcfdq · Cited by 25 · see citing works

Cortical and subcortical response to the anticipation of reward in high and average/low risk-taking adolescents

Demidenko, M. I., Huntley, E. D., Jahn, A., Thomason, M. E., Monk, C. S., & Keating, D. P. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100798 · Cited by 22 · see citing works

Idiographic learning analytics: A definition and a case study

Saqr, M., & López‐Pernas, S. (2021) · IEEE International Conference on Advanced Learning Technologies (ICALT) · doi:10.1109/icalt52272.2021.00056 · Cited by 22 · see citing works

The Promise and Challenges of Intensive Longitudinal Designs for Imbalance Models of Adolescent Substance Use

Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01576 · Cited by 21 · see citing works

Individualized learning potential in stressful times: How to leverage intensive longitudinal data to inform online learning

Chaku, N., Kelly, D. P., & Beltz, A. M. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106772 · Cited by 21 · see citing works

Daily gender expression is associated with psychological adjustment for some people, but mainly men

Beltz, A. M., Loviska, A. M., & Weigard, A. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-88279-4 · Cited by 21 · see citing works

Advancing statistical analysis of ambulatory assessment data in the study of addictive behavior: A primer on three person-oriented techniques

Foster, K. T., & Beltz, A. M. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.12.018 · Cited by 21 · see citing works

Detecting Idiographic Personality Change

Beck, E. D., & Jackson, J. J. (2021) · Journal of Personality Assessment · doi:10.1080/00223891.2021.1984246 · Cited by 20 · see citing works

Characterizing the role of the pre‐SMA in the control of speed/accuracy trade‐off with directed functional connectivity mapping and multiple solution reduction

Weigard, A. S., Beltz, A. M., Reddy, S. N., & Wilson, S. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24493 · Cited by 19 · see citing works

Dynamic processes in behavioral activation therapy for anhedonic adolescents: Modeling common and patient-specific relations.

Webb, C. A., Murray, L., Tierney, A. O., & Gates, K. M. (2023) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000830 · Cited by 19 · see citing works

A socioemotional network perspective on momentary experiences of family conflict in young adults

Wang, X., McGowan, A. L., Fosco, G. M., Falk, E. B., Bassett, D. S., & Lydon‐Staley, D. M. (2024) · Family Process · doi:10.1111/famp.12995 · Cited by 19 · see citing works

Phenomena complexes as targets of explanation in psychopathology: The relational analysis of phenomena approach

Nielsen, K., & Ward, T. J. (2020) · Theory & Psychology · doi:10.1177/0959354320906462 · Cited by 18 · see citing works

Heterogeneity in affective complexity among men and women.

Foster, K. T., & Beltz, A. M. (2021) · Emotion · doi:10.1037/emo0000956 · Cited by 19 · see citing works

Modeling the Complex Interplay Between Monitoring Events for Regulated Learning with Psychological Networks

Malmberg, J., Saqr, M., Järvenoja, H., Haataja, E., Pijeira‐Díaz, H. J., & Järvelä, S. (2022) · Springer eBooks · doi:10.1007/978-3-031-08076-0_4 · Cited by 18 · see citing works

Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data

Siepe, B. S., Sander, C., Schultze, M., Kliem, A., Ludwig, S., Hegerl, U., & Reich, H. (2024) · JMIR Mental Health · doi:10.2196/50136 · Cited by 19 · see citing works

Neural Connectivity Subtypes Predict Discrete Attentional-Bias Profiles Among Heterogeneous Anxiety Patients

Price, R. B., Beltz, A. M., Woody, M. L., Cummings, L. R., Gilchrist, D., & Siegle, G. J. (2020) · Clinical Psychological Science · doi:10.1177/2167702620906149 · Cited by 17 · see citing works

Temporal networks of tobacco withdrawal symptoms during smoking cessation treatment.

Lydon‐Staley, D. M., Leventhal, A. M., Piper, M. E., Schnoll, R. A., & Bassett, D. S. (2020) · Journal of Abnormal Psychology · doi:10.1037/abn0000650 · Cited by 17 · see citing works

The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.

Weigard, A. S., Lane, S., Gates, K. M., & Beltz, A. M. (2021) · Psychological Methods · doi:10.1037/met0000460 · Cited by 20 · see citing works

Idiographic Psychology: From Forms of Inference to Levels of Analysis, and Back AgainPreprint

Syed, M. (2022) · doi:10.31234/osf.io/hsp5v · Cited by 17 · see citing works

Process mining in mHealth data analysis

Winter, M. R., Langguth, B., Schlee, W., & Pryss, R. C. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01297-0 · Cited by 17 · see citing works

Trauma Recovery Rubric: A Mixed-Method Analysis of Trauma Recovery Pathways in Four Countries

Koutra, K., Burns, C. J., Šinko, L., Kita, S., Bilgin, H., & Arnault, D. S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191610310 · Cited by 17 · see citing works

Group Iterative Multiple Model Estimation Approaches in Clinical Science

Lee, C., & Gates, K. M. (2026) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-061724-080138 · Cited by 2 · see citing works

Focusing Personality Assessment on the Person: Modeling General, Shared, and Person Specific Processes in Personality and PsychopathologyPreprint

Wright, A. G. C., Gates, K. M., Arizmendi, C., Lane, S., Woods, W., & Edershile, E. A. (2017) · doi:10.31219/osf.io/nf5me · Cited by 12 · see citing works

Group Iterative Multiple Model Estimation (GIMME)Preprint

Danvers, A., Wright, A. G. C., Beck, E. D., Vallacher, R. R., Read, S. J., & Eiler, B. (2021) · OSF Preprints (OSF Preprints)

An epistemic unification of the nomothetic and idiographic perspectives in psychopathology using scaling lensesPreprint

Dophemont, M., Helmich, M. A., de Haas, S., Everaert, J., & Ikani, N. (2026) · doi:10.17605/osf.io/rhke3

Beyond nomothetics and idiographics: Towards a systematization of personality research approaches

Phan, L. V., Modersitzki, N., Kuper, N., Beckmann, N., Fajkowska, M., Gollwitzer, M., Horstmann, K. T., Quirin, M., Renner, K., Wright, A. G. C., et al. (2024) · European Journal of Personality · doi:10.1177/08902070241301633 · Cited by 13 · see citing works