Measuring discourse-level processes with verbal protocols and latent semantic analysis - latent semantic analysis (LSA)
- Used to study verbal protocols from readers explaining or recording their thoughts as they read
- Uses singular value decomposition to get a condensed matrix for comparing similarities and differences between words in a passage or larger chunks of text
- Similarities between units of text (could be a few words, paragraphs, or sentences) are indicated by the cosine between corresponding, normalized vectors
- Cosines of 0 indicate no similarity and 1 means high similarity
- Assumes that similar words appear in similar contexts
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Measuring discourse-level processes with verbal protocols and latent semantic analysis
Measuring discourse-level processes with verbal protocols and latent semantic analysis - measuring reading comprehension
Measuring discourse-level processes with verbal protocols and latent semantic analysis - latent semantic analysis (LSA)
Measuring discourse-level processes with verbal protocols and latent semantic analysis - methodology
Measuring discourse-level processes with verbal protocols and latent semantic analysis - results
Measuring discourse-level processes with verbal protocols and latent semantic analysis - discussion