Analyzing Linguistic Data: Chapter 4 – Regression Models for Linguistic Data

Описание: 🎓 This chapter presents regression analysis as a central tool for modeling relationships between linguistic predictors and outcomes. Baayen covers linear regression in detail, including interpretation of coefficients, interactions, collinearity, and model diagnostics. Linguistic examples include frequency effects, neighborhood density, and morphological complexity.

The chapter emphasizes regression as a means of testing linguistic hypotheses while controlling for confounding variables. Readers learn how to interpret regression results in theoretically meaningful ways rather than as purely statistical artifacts. This chapter forms the backbone for later discussions of more advanced models.

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