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Text data are widely collected in research and can come from many different sources. However, text data are largely under-analyzed in social, behavioral and education research. Supported by the Institute of Education Sciences (R305D210023), we have developed a general model that can combine structural equation models with text data in which a two-stage method was used to first extract the information from the text data through different methods such as sentiment analysis and text encoders and then the information was used in SEM. We also developed an online app - BigSEM, that can be used to conduct SEM analysis with text data. In this talk, I will provide a tutorial on how to use the online app through examples.