top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

Analyzing cyclic patterns in psychological data: A tutorial

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.14.4.p218

Verboon, Peter , Leontjevas, Ruslan
218-234
Keywords: ESM , EMA , Cyclic models , multilevel analysis , intensive longitudinal data
Tools: R
(no sample data)   (no appendix)

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.


Pages © TQMP;
Template last modified: 2018-12-23.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS