S4E09 Intensive Longitudinal Data: Be Careful What You Wish For

S4E09_graphic

In today’s episode Greg and Patrick talk about that sweet spot between panel designs and time series designs, intensive longitudinal data, both the logistical and analytical challenges but more importantly its tremendous potential.  Along the way they also discuss camp fire face-plants, fear of horses, your spare eyelid, polishing your Nobel Prize, ripples in a pond, lick’m-sir, August 14th, the basketball effect, Southwest boarding number B14, high school math teacher apologies, open mic night, and umbrella shopping.

Lightly Edited Transcript

We provide a lightly-edited and obviously imperfect audio transcript of the episode available here. This is not an exact representation of the audio, but does provide a searchable document with identified speakers and associated time stamps.

Related Episodes

S3E04: Two Time Point Data: What Is Your Quest?

S2E26: MLM vs. SEM: Opportunities for Growth

S2E02: The Auto-Regressive Cross-Lagged Horror Picture Show

Suggested Readings

Asparouhov, T., & Muthén, B. (2020). Comparison of models for the analysis of intensive longitudinal data. Structural Equation Modeling: A Multidisciplinary Journal, 27, 275-297.

Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. Guilford Press.

Curran, P.J., & Bauer, D.J. (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual Review of Psychology, 62, 583-619.

Hamaker, E. L., & Wichers, M. (2017). No time like the present: Discovering the hidden dynamics in intensive longitudinal data. Current Directions in Psychological Science26, 10-15.

Hedeker, D., Mermelstein, R. J., & Demirtas, H. (2008). An application of a mixed‐effects location scale model for analysis of ecological momentary assessment (EMA) data. Biometrics, 64, 627-634.

Hoffman, L. (2007). Multilevel models for examining individual differences in within-person variation and covariation over time. Multivariate Behavioral Research, 42, 609-629.

Hoffman, L. (2015). Longitudinal analysis: Modeling within-person fluctuation and change. Routledge.

Laurenceau, J. P., & Bolger, N. (2012). Analyzing diary and intensive longitudinal data from dyads. Handbook of research methods for studying daily life, 407-422.

McNeish, D., Mackinnon, D. P., Marsch, L. A., & Poldrack, R. A. (2021). Measurement in intensive longitudinal data. Structural Equation Modeling: A Multidisciplinary Journal28, 807-822.

Walls, T. A. (2013). Intensive longitudinal data. The Oxford handbook of quantitative methods: Statistical analysis2, 432-440.

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