Abstract
Latent growth curve modeling (LGCM) is used to describe changing latent aspects over time manifested in observed indicators. A case study of satisfaction indicators of cinema visitors observed over 12 months is used to detect such transitions from excitement factors to performance factors to basic factors, as mentioned in the Kano-model. The sample is split up into groups depending on slope trajectories and intercepts. More precisely, a growth mixture model (GMM) with random slopes and random intercepts is incorporated offering the possibility of visualizations including individual intercept and slope values. This figure allows deeper insight into the modifications of time.
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