Psychology: Research and Review
Table 4 Linear regression for semantic average time and its coefficients
From: Can a lexical decision task predict efficiency in the judgment of ambiguous sentences?
Beta | T | Sig. | Correlation coefficients | Tolerance | |||
|---|---|---|---|---|---|---|---|
Zero-order | Partial | Semi-partial | |||||
Semantic avg. time model 1 (R2 = .54; adjusted R2 = .52) | |||||||
Avg. time on quasi-words | .732 | 5.893 | .000 | .732 | .732 | .732 | 1.000 |
Semantic avg. time model 2 (R2 = .60; adjusted R2 = .57) | |||||||
Avg. time on quasi-words | 1.639 | 3.759 | .001 | .732 | .572 | .441 | .072 |
Avg. time on pseudo-words | − 0.941 | − 2.158 | .039 | .637 | − .372 | − .253 | .072 |
Semantic avg. time model 3 (R2 = .67; adjusted R2 = .63) | |||||||
Avg. time on quasi-words | 1.710 | 4.195 | .000 | .732 | .621 | .459 | .072 |
Avg. time on pseudo-words | − 0.958 | − 2.356 | .637 | − .407 | − .258 | .072 | |
Correct pct. on reg. words | − 0.259 | − 2.311 | .026 .028 | − .087 | − .400 | − .253 | .955 |