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. Author manuscript; available in PMC: 2012 Feb 8.
Published in final edited form as: Lang Acquis. 2011;18(4):281–293. doi: 10.1080/10489223.2011.580676

Table 3.

Step-wise linear regression analyses examining the contribution of statistical properties (number of neighbors, neighbor frequency, segment frequency and biphone probability) and phonetic properties (burst duration and intensity) on the misidentification of marked onsets.

Last predictor Predictor forced in previous steps R2change F change df p<
 a. Statistical properties Markedness .063 1.83 4, 89 .13
 b. Phonetic properties-monosyllables Markedness .083 2.125 2, 44 .14
 c. Phonetic properties-disyllables Markedness .025 2.82 1, 92 .10
 d. Markedness Statistical properties .05 5.80 1, 89 .02
 e. Markedness Phonetic properties (monosyllables) .07 3.63 1, 44 .07
 f. Markedness Phonetic properties (disyllables) .057 6.49 1, 92 .02