Published/Forthcoming
Clayson, P. E., Shuford, J. L., Rast, P., Baldwin, S. A., Weissman, D. H., & Larson, M. J. (in press) Normal Congruency Sequence Effects in Psychopathology: A Behavioral and Electrophysiological Examination Using a Confound-Minimized Design. Psychophysiology https://doi.org/10.1111/psyp.14426

Karr, J. E., Rodriguez, Martel, M. M. Rast, P. (in press) A Network Analysis of Executive Functions in Children and Adolescents with and without Attention-deficit/hyperactivity Disorder. Child Psychiatry & Human Development

Rodriguez, J. E., Williams, D. R., & Rast, P. (in press). Who Is and Is Not “Average?” Random Effects Selection with Spike-and-Slab Priors. Psychological Methods. Preprint doi: https://doi.org/10.31234/osf.io/4d9tv

Martin, S. R., & Rast, P. (2022). The Reliability Factor: Modeling individual reliability with multiple items from a single assessment. Psychometrika, 87, 1318 – 1342. doi: https://doi.org/10.1007/s11336-022-09847-9

Karr, J. E., Rodriguez, J. E., Goh, P. K., Martel, M. M. Rast, P. (2022). The Unity and Diversity of Executive Functions: A Network Approach to Lifespan Development. Developmental Psychology, 58, 751 – 767. doi: https://doi.org/10.1037/dev0001313

Clayson, P. E., Rocha, H. A., Baldwin, S. A., Rast, P., & Larson, M. J. (2022). Understanding the error in psychopathology: Notable intraindividual differences in neural variability of performance monitoring. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 7, 555 – 565 doi: https://doi.org/10.1016/j.bpsc.2021.10.016

Williams, D. R., Martin, S. R., & Rast, P. (2022). Putting the Individual into Reliability: Bayesian Testing of Homogeneous Within-Person Variance in Hierarchical Models. Behavior Research Methods, 54, 1272 – 1290. Preprint doi: https://psyarxiv.com/hpq7w/

Rast, P., Martin, S. R., Liu, S., & Williams, D. R. (2022). A New Frontier for Studying Within-Person Variability: Bayesian Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Psychological Methods, 27, 856 – 873 . doi: https://psycnet.apa.org/doi/10.1037/met0000357

Rast, P., & Martin, S. R. (2021). bmgarch: An R-Package for Bayesian Multivariate GARCH models. Journal of Open Source Software, 6, 3452 – 4354. doi: https://doi.org/10.21105/joss.03452.

Williams, D. R., Mulder, J., Rouder, J., & Rast, P. (2021). Beneath the Surface: Unearthing Within-Person Variability and Mean Relations with Bayesian Mixed Models. Psychological Methods, 26, 74 – 89. doi: https://psycnet.apa.org/doi/10.1037/met0000270

Williams, D. R., Martin, S. R., Liu, S., & Rast, P. (2020). Bayesian Multivariate Mixed Effects Location Scale Modeling of Longitudinal Relations among Affective Traits, States, and Physical Activity. European Journal of Psychological Assessment, 36, 981 – 997. doi: https://doi.org/10.1027/1015-5759/a000624

Rush, J., Rast, P., & Hofer, S.M. (2020). Optimizing Detection of True Within-Person Effects for Intensive Measurement Designs: A Comparison of Multilevel SEM and Unit-Weighted Scale Scores. Multivariate Behavioral Research, 52, 1883 – 1892. doi: https://doi.org/10.3758/s13428-020-01369-5

Williams, D. R., Rast, P., Pericchi, L., & Mulder, J. (2020). Comparing Gaussian Graphical Models with the Posterior Predictive Distribution and Bayesian Model Selection. Psychological Methods, 25, 653 – 672. Preprint doi: 10.31234/osf.io/yt386, doi: https://psycnet.apa.org/doi/10.1037/met0000254

Oschwald, J., Guye, S., Liem, F., Rast, P., Willis, S., Röcke, C., Jäncke, L., Martin, M., & Mérillat, S. (2019). Brain Structure and Cognitive Ability in Healthy Aging: A Review on Longitudinal Correlated Change. Reviews in the Neurosciences. doi: 10.1515/revneuro-2018-0096

Williams, D. R., & Rast, P. (2019). Back to the Basics: Rethinking Partial Correlation Network Methodology. British Journal of Mathematical and Statistical Psychology. Preprint doi: doi.org/10.31219/osf.io/fndru or peer reviewed doi: doi.org/10.1111/bmsp.12173

Williams, D. R., Zimprich, D. R., & Rast, P. (2019).  A Bayesian Nonlinear Mixed-Effects Location Scale Model for Learning. Behavior Research Methods. Preprint doi: doi.org/10.31219/osf.io/r438f or Peer Reviewed doi: 10.3758/s13428-019-01255-9

Williams, D. R., Rhemtulla, M., Wysocky, A., Rast, P. (2019). On non-regularized estimation of psychological networks. Multivariate Behavioral Research, 54, 719-750. Preprint, or peer reviewed doi: 10.1080/00273171.2019.1575716

Rush, J., Rast, P., Almeida, D. M., & Hofer, S. M. (2019). Modeling long-term changes in daily within-person associations: An application of multilevel SEM. Psychology And Aging, 34, 163-176. doi: 10.1037/pag0000331

Karr, J. E., Areshenkoff, C., Rast, P., Hofer, S. M., Iverson, G. L., & Garcia-Barrera, M. A. (2018). The Unity and Diversity of Executive Functions: A Systematic Review and Re-Analysis of Latent Variable Studies. Psychological Bulletin, 144, 1147-1185. doi: dx.doi.org/10.1037/bul0000160

Rast, P., & Ferrer, E. (2018). A Mixed-Effects Location Scale Model for Dyadic Interactions. Multivariate Behavioral Research, 53. 756-775. doi: 10.1080/00273171.2018.1477577

Rast, P., Kennedy, K.M., Rodrigue, K.M., Robinson, P.R.A.W., Gross, A.L., McLaren, D.G., Grabowski, T., Schaie, K.W., & Willis, S.L. (2018). APOEε4 genotype and hypertension modify 8-year cortical thinning: Five occasion evidence from the Seattle Longitudinal Study. Cerebral Cortex, 28, 1934-1945 doi: 10.1093/cercor/bhx099

Jiang, R., Plunkett, S. W., & Ainsworth, A. T. (2018). Factor structure and validity of the Affective Style Questionnaire. Journal of Health Psychology. Advance online publication. doi:10.1177/1359105318772650

Williams, D. R., & Bürkner, P. C. (2017). Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysis. Psychoneuroendocrinology, 75, 141-151.  https://www.sciencedirect.com/science/article/pii/S0306453016302128

Ferrer, E., & Rast, P. (2017). Partitioning the Variability of Daily Emotion Dynamics in Dyadic Interactions with a Mixed-Effects Location Scale Model. Current Opinion in Behavioral Sciences, 15, 10-15.

Bürkner, P. C., Williams, D. R., Simmons, T. C., & Woolley, J. D. (2017). Intranasal oxytocin may improve high-level social cognition in Schizophrenia, but not social cognition or neurocognition in general: a multilevel bayesian meta-analysis. Schizophrenia Bulletin, 43(6), 1291-1303.  https://www.ncbi.nlm.nih.gov/pubmed/28586471

Williams, D. R., & Bürkner, P. C. (2017). Data extraction and statistical errors: A quantitative critique of Gumley, Braehler, and Macbeth (2014). British Journal of Clinical Psychology, 56(2), 208-211.  https://onlinelibrary.wiley.com/doi/abs/10.1111/bjc.12130

Carlsson, R., Schimmack, U., Williams, D. R., & Bürkner, P. C. (2017). Bayes factors from pooled data are no substitute for Bayesian meta-Analysis: commentary on Scheibehenne, Jamil, and Wagenmakers (2016). Psychological science, 28, 1694-1697.  http://journals.sagepub.com/doi/full/10.1177/0956797616684682

Rast, P. (2016). Learning in Older Adults. Encyclopedia of Geropsychology (pp. 1-8). Heidelberg: Springer. doi:10.1007/978-981-287-080-3_237-1

Kelly, A., Rush, J., Shafonsky, E., Hayashi, E., Votova, K., Hall, C., Piccinin, A., Weber, J., Rast, P., & Hofer, S. M. (2015). Detecting short-term change and variation in health-related quality of life: Within- and between-person factor structure of the SF-36 Health Survey Health and Quality of Life Outcomes, 13:199. doi:10.1186/s12955-015-0395-1

Rast, P., & Hofer, S. M. (2015). The association between short-term intraindividual  variability and long-term developmental change. In M. Diehl, K. Hooker, & M. J. Sliwinski (Eds.) Intraindividual  Variability Across the Life Span: A Comprehensive Perspective (pp. 280--292). Routledge, Taylor & Francis

Rast, P., & MacDonald, S. W. S. (2014). Exploring the Relations Among Different Levels of Intraindividual Variability and Longitudinal Change Using a Mixed Effects Location Scale Model. In JSM Proceedings, Health Policy Statistics Section. Alexandria, VA: American Statistical Association.

Karr, J., Areshenkoff, C., & Rast, P., & Garcia-Barrera, A. M. (2014). An empirical comparison of the therapeutic benefits of physical exercise and cognitive training on the executive functions of older adults: Ameta-analysis of controlled trials. Neuropsychology, 28, 829--845.

Rush, J., Rast, P., & Hofer, S. M. (2014). Abstract: Power to Detect Within- and Between-Person Effects: A Comparison of Multilevel SEM and Unit-Weighted Scale Scores. Multivariate Behavioral Research, 49, 298

Rast, P., Rush, J., Piccinin, A., & Hofer, S. M. (2014). The identification of regions of significance in the effect of multimorbidity on depressive symptoms using longitudinal data: An application of the Johnson-Neyman technique. Gerontology, 60, 274-281.

Rast, P., & Hofer, S. M. (2014). Longitudinal design considerations to optimize power to detect variances and covariances among rates of change: Simulation results based on actual longitudinal studies. Psychological Methods, 19, 133--154.

Rast, P. (2013). Inter- and Intraindividual Variability in Aging-Related Outcomes. An Introduction to the Special Issue. GeroPsych, 26, 139-140.

Rast, P., Hofer, S. M.,  & Sparks, C. (2012). Modeling individual differences in within-person variation of negative and positive affect in a mixed effects location scale model using BUGS/JAGS. Multivariate Behavioral Research, 47, 177--200.

Rast, P., MacDonald, S. W. S., & Hofer, S. M. (2012). Intensive measurement designs for research on aging. The Jonal of Gerontopsychology and Geriatric Psychiatry, 25, 45-55.

Hofer, S. M., Rast, P., & Piccinin, A. M. (2012). Methodological issues in research on adult development and aging. In S. K. Whitbourne & M. J. Sliwinski (Eds.), Handbook of developmental psychology: Adult development and aging (pp. 72--93). New York: Wiley-Blackwell.
 
Rast, P., & Zimprich, D. (2011). Modeling within-person variance in reaction time data of older  adults. GeroPsych, 24, 169-176.

Rast, P. (2011). Verbal knowledge, working memory, and processing speed as predictors of  verbal learning in older adults. Developmental Psychology, 47, 1490-1498.

Zimprich, D., Kliegel, M., & Rast, P. (2011). The factorial structure and external validity of the prospective and retrospective memory questionnaire (PRMQ) in older adults. European Journal of Ageing, 8, 39-48.

Rast, P., & Zimprich, D. (2010). Individual differences in a positional learning task across the adult lifespan. Learning and Individual Differences, 20, 1-7.

Rast, P., & Zimprich, D. (2009). Individual differences and reliability of paired associates learning in younger and older adults. Psychology and Aging, 24, 1001-1006.

Rast, P., & Zimprich, D. (2009). Age differences in the  underconfidence-with-practice effect. Experimental Aging Research, 35, 400-431.

Zimprich, D., & Rast, P. (2009).  Verbal learning changes in older adults across 18 months. Aging, Neuropsychology and Cognition, 16,  461-484.

Rast, P., Zimprich, D., Van Boxtel, M., & Jolles, J. (2009). Factor structure and measurement invariance of the cognitive failures questionnaire across
the adult life-span. Assessment, 16, 145-158.

Zimprich, D., Martin, M., Kliegel, M., Dellenbach, M., Rast, P., & Zeintl, M. (2008). Cognitive abilities in old age: Results from the Zurich longitudinal study on cognitive aging. Swiss Journal of Psychology, 67, 177-195.

Zimprich, D., Rast, P., & Martin, M (2008). Individual differences in verbal learning in old age. In S.M. Hofer & D.F. Alwin (Eds.), The Handbook of Cognitive Aging: Interdisciplinary Perspectives (pp. 224-243). Thousand Oaks: Sage Publications.
 
Zeintl, M., Kliegel, M., Rast, P., & Zimprich, D. (2006). Prospective memory complaints can be predicted by prospective memory performance in older adults. Dementia and Geriatric Cognitive Disorders, 22, 209-215.

Working Papers
Rast, P., Martin, S. R., & Rodriguez, J. E. (2020). Bayesian multivariate GARCH models for within-person variance forecasting. PsyArXiv https://doi.org/10.31234/osf.io/uf2tp

Rodriguez, J. E., Williams, D. R., Rast, P., & Mulder, J. (2020). On formalizing theoretical expectations: Bayesian testing of central structures in psychological networks. PsyArXiv https://10.31234/osf.io/zw7pf

Martin, S. R., Williams, D. R., & Rast, P. (2019). Measurement invariance assessment with Bayesian hierarchical inclusion modeling. PsyArXiv https://psyarxiv.com/qbdjt/

Williams, D. R., Piironen, J., Vehtari, A., & Rast, P. (2018). Bayesian estimation of Gaussian graphical models with predictive covariance selection. arXiv https://arxiv.org/abs/1801.05725