No Time Like the Present
Top Cited Papers
- 8 February 2017
- journal article
- research article
- Published by SAGE Publications in Current Directions in Psychological Science
- Vol. 26 (1), 10-15
- https://doi.org/10.1177/0963721416666518
Abstract
There has been a strong increase in the number of studies based on intensive longitudinal data, such as those obtained with experience sampling and daily diaries. These data contain a wealth of information regarding the dynamics of processes as they unfold within individuals over time. In this article, we discuss how combining intensive longitudinal data with either time-series analysis, which consists of modeling the temporal dependencies in the data for a single individual, or dynamic multilevel modeling, which consists of using a time-series model at Level 1 to describe the within-person process while allowing for individual differences in the parameters of these processes at Level 2, has led to new insights in clinical psychology. In addition, we discuss several methodological and statistical challenges that researchers face when they are interested in studying the dynamics of psychological processes using intensive longitudinal data.Keywords
This publication has 28 references indexed in Scilit:
- Modeling BAS Dysregulation in Bipolar DisorderAssessment, 2016
- Modeling Affect Dynamics: State of the Art and Future ChallengesEmotion Review, 2015
- No Need to be Discrete: A Method for Continuous Time Mediation AnalysisStructural Equation Modeling: A Multidisciplinary Journal, 2015
- Optimal time lags in panel studies.Psychological Methods, 2015
- A Network Approach to Psychopathology: New Insights into Clinical Longitudinal DataPLOS ONE, 2013
- Causal Inference in Time Series AnalysisPublished by Wiley ,2012
- Effects of Intensive Mobile Happiness Reporting in Daily LifeSocial Psychological and Personality Science, 2011
- Meeting risk with resilience: high daily life reward experience preserves mental healthActa Psychiatrica Scandinavica, 2010
- Idiographic Data Analysis: Quantitative Methods—From Simple to AdvancedPublished by Springer Science and Business Media LLC ,2009
- Taking Account of Time Lags in Causal ModelsChild Development, 1987