The article provides a comprehensive overview of growth curve modeling, a statistical method used to analyze longitudinal data and study individual differences in within-person change. The authors address 12 frequently asked questions about growth curve modeling, covering topics such as the definition of growth curve modeling, its differences from traditional longitudinal models, data requirements, handling missing data, different shapes of growth curves, assessing model fit, incorporating predictors, simultaneous modeling of multiple constructs, and estimating growth in multiple groups. They also discuss the use of growth mixture models for latent group identification and provide recommendations for further reading and resources. The article emphasizes the importance of aligning the statistical model with developmental theory to ensure valid inferences.The article provides a comprehensive overview of growth curve modeling, a statistical method used to analyze longitudinal data and study individual differences in within-person change. The authors address 12 frequently asked questions about growth curve modeling, covering topics such as the definition of growth curve modeling, its differences from traditional longitudinal models, data requirements, handling missing data, different shapes of growth curves, assessing model fit, incorporating predictors, simultaneous modeling of multiple constructs, and estimating growth in multiple groups. They also discuss the use of growth mixture models for latent group identification and provide recommendations for further reading and resources. The article emphasizes the importance of aligning the statistical model with developmental theory to ensure valid inferences.