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Kim Nimon, Linda R. Zientek & Julia Fulmore. (2022) A Hierarchical Map and Application to Traverse and Unify Analyses Subsumed by Canonical Correlation. Multivariate Behavioral Research 57:6, pages 1027-1046.
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Cindy S. Bergeman, Steven M. Boker, Nathan Rose, George A. Bonanno & Teresa Seeman. (2021) Integrative Science Approach to Resilience: The Notre Dame Study of Health & Well-being (NDHWB). Research in Human Development 18:3, pages 164-180.
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Lijuan Wang, Qian Zhang, Scott E. Maxwell & C. S. Bergeman. (2019) On Standardizing Within-Person Effects: Potential Problems of Global Standardization. Multivariate Behavioral Research 54:3, pages 382-403.
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S. de Haan-Rietdijk, P. Kuppens, C. S. Bergeman, L. B. Sheeber, N. B. Allen & E. L. Hamaker. (2017) On the Use of Mixed Markov Models for Intensive Longitudinal Data. Multivariate Behavioral Research 52:6, pages 747-767.
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Denis Gerstorf, Christiane A. Hoppmann & Nilam Ram. (2014) The Promise and Challenges of Integrating Multiple Time-Scales in Adult Developmental Inquiry. Research in Human Development 11:2, pages 75-90.
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Articles from other publishers (13)
Jessica M. Blaxton, Brenda R. Whitehead & C.S. Bergeman. (2022) Age Differences Among Different Sources of Stressor Related Negative Affect. The International Journal of Aging and Human Development 97:3, pages 289-305.
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Anthony D. Ong & Kate A. Leger. (2022) Advancing the Study of Resilience to Daily Stressors. Perspectives on Psychological Science 17:6, pages 1591-1603.
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David Marcusson-Clavertz, Martin J. Sliwinski, Orfeu M. Buxton, Jinhyuk Kim, David M. Almeida & Joshua M. Smyth. (2022) Relationships between daily stress responses in everyday life and nightly sleep. Journal of Behavioral Medicine 45:4, pages 518-532.
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Elisabeth S. Blanke, Florian Schmiedek, Stefan Siebert, David Richter & Annette Brose. (2022) Perspectives on resilience: Trait resilience, correlates of resilience in daily life, and longer‐term change in affective distress. Stress and Health.
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Cindy S Bergeman, Jessica Blaxton & Raquael Joiner. (2021) Dynamic Systems, Contextual Influences, and Multiple Timescales: Emotion Regulation as a Resilience Resource. The Gerontologist 61:3, pages 304-311.
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Pascal R. Deboeck, David A. Cole, Kristopher J. Preacher, Rex Forehand & Bruce E. Compas. (2020) Modeling dynamic processes with panel data: An application of continuous time models to prevention research. International Journal of Behavioral Development 45:1, pages 28-39.
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Katinka Hardt, Steven M. Boker & Cindy S. Bergeman. (2020) A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T. Psychometrika 85:4, pages 1016-1027.
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Joshua M. Smyth, Martin J. Sliwinski, Matthew J. Zawadzki, Stacey B. Scott, David E. Conroy, Stephanie T. Lanza, David Marcusson-Clavertz, Jinhyuk Kim, Robert S. Stawski, Catherine M. Stoney, Orfeu M. Buxton, Christopher N. Sciamanna, Paige M. Green & David M. Almeida. (2018) Everyday stress response targets in the science of behavior change. Behaviour Research and Therapy 101, pages 20-29.
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Daniel B. McArtor, Gitta H. Lubke & C. S. Bergeman. (2016) Extending multivariate distance matrix regression with an effect size measure and the asymptotic null distribution of the test statistic. Psychometrika 82:4, pages 1052-1077.
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Jessica M. Blaxton & C.S. Bergeman. (2017) A process-oriented perspective examining the relationships among daily coping, stress, and affect. Personality and Individual Differences 104, pages 357-361.
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Allison E. Gaffey, C.S. Bergeman, Lee Anna Clark & Michelle M. Wirth. (2016) Aging and the HPA axis: Stress and resilience in older adults. Neuroscience & Biobehavioral Reviews 68, pages 928-945.
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Jessica M. Blaxton, Cindy S. Bergeman, Brenda R. Whitehead, Marcia E. Braun & Jessic D. Payne. (2015) Relationships Among Nightly Sleep Quality, Daily Stress, and Daily Affect. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, pages gbv060.
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Luis G. Jaimes, Juan Calderon, Juan Lopez & Andrew Raij. (2015) Trends in Mobile Cyber-Physical Systems for health Just-in time interventions. Trends in Mobile Cyber-Physical Systems for health Just-in time interventions.