Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a Structural Equation Model (SEM) to the pooled data. This study illustrates techniques that directly analyze the raw data, such as multi-level and multi-group SEM, and techniques based on summary statistics, such as meta-analysis of path coefficients and correlation-based Meta-Analytical Structural Equation Modeling (MASEM), discussing differences in requirements, procedures, outcomes, and limitations. This is done using a collection of 36 datasets that were previously published in Hagger et al. (2022). A path model reflecting the theory of planned behavior Ajzen (1991), is fitted to these datasets using SEM.