arXiv Open Access 2023

Analyzing Ecological Momentary Assessment Data with State-Space Models: Considerations and Recommendations

Lindley R. Slipetz Jeremy W. Eberle Cheri A. Levinson Ami Falk Claire E. Cusack +1 lainnya

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Abstrak

Ecological momentary assessment (EMA) data have a broad base of application in the study of time trends and relations. In EMA studies, there are a number of design considerations which influence the analysis of the data. One general modeling framework is particularly well-suited for these analyses: state-space modeling. Here, we present the state-space modeling framework with recommendations for the considerations that go into modeling EMA data. These recommendations can account for the issues that come up in EMA data analysis such as idiographic versus nomothetic modeling, missing data, and stationary versus non-stationary data. In addition, we suggest R packages in order to implement these recommendations in practice. Overall, well-designed EMA studies offer opportunities for researchers to handle the momentary minutiae in their assessment of psychological phenomena.

Topik & Kata Kunci

stat.AP

Penulis (6)

Lindley R. Slipetz

Jeremy W. Eberle

Cheri A. Levinson

Ami Falk

Claire E. Cusack

Teague R. Henry

Format Sitasi

APA MLA BibTeX

Slipetz, L.R., Eberle, J.W., Levinson, C.A., Falk, A., Cusack, C.E., Henry, T.R. (2023). Analyzing Ecological Momentary Assessment Data with State-Space Models: Considerations and Recommendations. https://arxiv.org/abs/2305.03214

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Informasi Jurnal

Tahun Terbit: 2023
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓