Abstract

A growing number of studies on psychological phenomena employ the Ecological Momentary Assessment (EMA) method for obtaining intensive longitudinal data in daily life. Whereas cyclic processes may underlie different psychological and physiological outcomes, the cyclic model that describes such processes is rarely used for fitting EMA data. The aim of this paper is to introduce the cyclic model to researchers, and to demonstrate its use in an empirical data set. It is shown how the cyclic terms can be incorporated in multilevel models. Based on secondary analyses on an existing EMA data set, it can be concluded that adding cyclic terms in EMA analyses may improve model fit and may help understanding the dynamic processes.
Original languageEnglish
Pages (from-to)218-234
Number of pages17
JournalThe Quantitative Methods for Psychology
Volume14
Issue number4
DOIs
Publication statusPublished - 2018

Keywords

  • ESM
  • EMA
  • Multilevel analysis
  • longitudinal design
  • multilevel analysis
  • ECOLOGICAL MOMENTARY ASSESSMENT
  • MOOD
  • Cyclic models
  • DISORDERS
  • intensive longitudinal data

Cite this

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title = "Analyzing cyclic patterns in psychological data: a tutorial",
abstract = "A growing number of studies on psychological phenomena employ the Ecological Momentary Assessment (EMA) method for obtaining intensive longitudinal data in daily life. Whereas cyclic processes may underlie different psychological and physiological outcomes, the cyclic model that describes such processes is rarely used for fitting EMA data. The aim of this paper is to introduce the cyclic model to researchers, and to demonstrate its use in an empirical data set. It is shown how the cyclic terms can be incorporated in multilevel models. Based on secondary analyses on an existing EMA data set, it can be concluded that adding cyclic terms in EMA analyses may improve model fit and may help understanding the dynamic processes.",
keywords = "ESM, EMA, Multilevel analysis, longitudinal design, multilevel analysis, ECOLOGICAL MOMENTARY ASSESSMENT, MOOD, Cyclic models, DISORDERS, intensive longitudinal data",
author = "P. Verboon and R. Leontjevas",
year = "2018",
doi = "10.20982/tqmp.14.4.p218",
language = "English",
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journal = "The Quantitative Methods for Psychology",
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Analyzing cyclic patterns in psychological data: a tutorial. / Verboon, P.; Leontjevas, R.

In: The Quantitative Methods for Psychology , Vol. 14, No. 4, 2018, p. 218-234.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Leontjevas, R.

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AB - A growing number of studies on psychological phenomena employ the Ecological Momentary Assessment (EMA) method for obtaining intensive longitudinal data in daily life. Whereas cyclic processes may underlie different psychological and physiological outcomes, the cyclic model that describes such processes is rarely used for fitting EMA data. The aim of this paper is to introduce the cyclic model to researchers, and to demonstrate its use in an empirical data set. It is shown how the cyclic terms can be incorporated in multilevel models. Based on secondary analyses on an existing EMA data set, it can be concluded that adding cyclic terms in EMA analyses may improve model fit and may help understanding the dynamic processes.

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KW - EMA

KW - Multilevel analysis

KW - longitudinal design

KW - multilevel analysis

KW - ECOLOGICAL MOMENTARY ASSESSMENT

KW - MOOD

KW - Cyclic models

KW - DISORDERS

KW - intensive longitudinal data

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DO - 10.20982/tqmp.14.4.p218

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