Dynamic Structural Equation Models in Momentary Assessment in Consumer Research Cover Image

Dynamic Structural Equation Models in Momentary Assessment in Consumer Research
Dynamic Structural Equation Models in Momentary Assessment in Consumer Research

Author(s): Adam Sagan
Subject(s): Economy, Business Economy / Management, Micro-Economics, Marketing / Advertising, Socio-Economic Research
Published by: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Keywords: experience sampling method; consumer momentary assessment; dynamic structural equation models

Summary/Abstract: The aim of the paper is to provide methodological framework to model intensive longitudinal data (ILD). The specific types of such data are consumer moods and emotional feelings that constitute the satisfaction states of the consumer. The research process of ILD involves ecological momentary assessment and experience sampling methods that are characterized by higher ecological validity. In the paper the special type of structural models, namely dynamic structural equation model (DSEM) are developed for proper analysis of multilevel longitudinal data. The models are built on the basis of consumer mood scale. The data were gathered from a convenient sample of 33 respondents and a systematic sample of time moments that provide a total of 640 observations. The results show the insignificant role of the socio-demographic characteristic of the respondents (gender) in explanation of very flexible psychological states.

  • Issue Year: 54/2018
  • Issue No: 4
  • Page Range: 61-73
  • Page Count: 13
  • Language: English