Iterated Referential Complexity E2 - HARD (20 words)



Analysis

Now we have 5 DV’s of interest:

  1. numCharacters – current length of word in lexicon
  2. removedCharacters – removed characters relative to previous generation
  3. removedCharactersC (cumulative) – removed characters relative to G0
  4. lev – Levenshtein distance relative to previous genration
  5. levC (cumulative) – Levenshtein distance relative to G0

And, 3 IVs:

  1. quintile
  2. c.norms
  3. rt.norms

For each DV, predict with each of three IV, faceting by generation Then, look at slope of this relationship across generations (can also facet this slop by G0 length, label)

DV 1: Number of Characters

plot of chunk unnamed-chunk-4plot of chunk unnamed-chunk-4plot of chunk unnamed-chunk-4plot of chunk unnamed-chunk-4plot of chunk unnamed-chunk-4

DV2: Characters Removed

plot of chunk unnamed-chunk-7plot of chunk unnamed-chunk-7plot of chunk unnamed-chunk-7plot of chunk unnamed-chunk-7plot of chunk unnamed-chunk-7

DV3: Cumulative characters removed

plot of chunk unnamed-chunk-8plot of chunk unnamed-chunk-8plot of chunk unnamed-chunk-8plot of chunk unnamed-chunk-8plot of chunk unnamed-chunk-8

DV4: Levenshtein Distance

plot of chunk unnamed-chunk-9plot of chunk unnamed-chunk-9plot of chunk unnamed-chunk-9plot of chunk unnamed-chunk-9plot of chunk unnamed-chunk-9

DV5: Cumulative Levenshtein Distance

plot of chunk unnamed-chunk-10plot of chunk unnamed-chunk-10plot of chunk unnamed-chunk-10plot of chunk unnamed-chunk-10

Accuracy

plot of chunk unnamed-chunk-11plot of chunk unnamed-chunk-11