108 K. Rastle, M. Brysbaert / Cognitive Psychology 53 (2006) 97–145from Gra<strong>in</strong>ger and Ferrand (1994) should be treated with some caution, because their53 ms <strong>prim<strong>in</strong>g</strong> effect was based upon a between-target comparison.2.5. Text read<strong>in</strong>gA f<strong>in</strong>al paradigm that has been used to <strong>in</strong>vestigate the effect of early <strong>phonological</strong> <strong>in</strong>fluenceson the identification of written words <strong>in</strong>volves the track<strong>in</strong>g of eye movements whenwords <strong>in</strong> parafoveal vision are manipulated. Pollatsek, Lesch, Morris, and Rayner (1992)asked participants to read sentences such as ‘‘The generous man gave every cent to charity,’’but while the target word ‘‘cent’’ rema<strong>in</strong>ed <strong>in</strong> parafoveal vision, it was replaced with ahomophone (‘‘sent’’) or a graphemic control. Pollatsek et al. (1992) measured target gazeduration as a function of the type of parafoveal prime. In three subsequent articles (Lee,B<strong>in</strong>der, Kim, Pollatsek, & Rayner, 1999a; Lee, Rayner, & Pollatsek, 1999b; Rayner,Sereno, Lesch, & Pollatsek, 1995), this technique was modified slightly such that the targetword was masked while it rema<strong>in</strong>ed <strong>in</strong> parafoveal vision. The moment that the eyes landedon the target, it was changed very briefly to a prime, be<strong>for</strong>e chang<strong>in</strong>g back aga<strong>in</strong> to thetarget. Once aga<strong>in</strong>, target gaze duration was the dependent variable. Data from these fourarticles (28 experiments) are summarized <strong>in</strong> Table 5.Compar<strong>in</strong>g gaze durations <strong>in</strong> the homophone and graphemic control conditions, Table5 suggests a <strong>phonological</strong> effect of 8 ms, which is reliable across studies (SD = 19.93,t(27) = 2.13, p < .05). This paradigm deviates somewhat from the others, however,because there are strong <strong>in</strong>dications that the <strong>phonological</strong> <strong>prim<strong>in</strong>g</strong> effect is larger <strong>for</strong>(high-frequency) word primes than <strong>for</strong> nonword primes (see Lee et al., 1999a).2.6. Effect size calculationTo compare effect sizes across the different paradigms, we calculated a standardizedeffect-size measure. The measure chosen was the product-moment correlation (r),expressed as the po<strong>in</strong>t-biserial correlation between the dummy-coded conditions(0 = homophonic, 1 = orthographic control) and the dependent variable (accuracy orlatency). A r value of 0 means that there is no reliable difference between conditions; ar value close to 1 means that nearly all variability <strong>in</strong> the dependent measure is due tothe experimental manipulation. Usually, a value of r = .1 is considered a small effect(1% of the variance accounted <strong>for</strong> by the manipulation), a value of r = .3 is considereda medium effect (9% variance accounted <strong>for</strong>), and a value of r = .5 is considered a largeeffect (25% of the variance accounted <strong>for</strong>). Rosnow and Rosenthal (e.g., Rosnow & Rosenthal,1996; Rosnow, Rosenthal, & Rub<strong>in</strong>, 2000) have advocated the use of the r measurebecause it is easy to understand, it is versatile, and it is calculated <strong>in</strong> the same manner <strong>for</strong>repeated and unrepeated designs (which is not the case <strong>for</strong> Cohen’s d statistic). When onlytwo conditions are compared with one another (as was the case <strong>for</strong> our meta-analysis), ther statistic can be calculated with the equationssffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffisffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffitr ¼2Fand r ¼.t 2 þ df with<strong>in</strong>F þ df errorThus, if a particular study reported a significant difference between the <strong>phonological</strong> andgraphemic control conditions of t(19) = 2.094, p < .05, we calculated r as
Table 5Studies of <strong>English</strong> <strong>phonological</strong> <strong>prim<strong>in</strong>g</strong>, us<strong>in</strong>g the text read<strong>in</strong>g paradigmStudyTargetdurationPrimelexicalityPrimeduration (ms)RT:<strong>phonological</strong>RT:graphemicRT:unrelatedGraphemic<strong>phonological</strong>Rayner et al. (1995), Exp. 1a Read<strong>in</strong>g time Word 36 370 400 432 30 62Rayner et al. (1995), Exp. 1b Read<strong>in</strong>g time Nonword 36 378 405 411 27 33Rayner et al. (1995), Exp. 2a Read<strong>in</strong>g time Word 30 370 371 400 1 30Rayner et al. (1995), Exp. 2b Read<strong>in</strong>g time Nonword 30 368 366 406 2 38Rayner et al. (1995), Exp. 3a Read<strong>in</strong>g time Word 24 349 351 379 2 30Rayner et al. (1995). Exp. 3b Read<strong>in</strong>g time Nonword 24 358 349 376 9 18Lee et al. (1999a), Exp. 1a Read<strong>in</strong>g time Word (HF) 35 370 400 430 30 60Lee et al. (1999a), Exp. 1b Read<strong>in</strong>g time Word (HF) 42 402 382 415 20 13Lee et al. (1999a). Exp. 1c Read<strong>in</strong>g time Nonword 35 379 381 401 2 22Lee et al. (1999a), Exp. 1d Read<strong>in</strong>g time Nonword 42 380 364 404 16 24Lee et al. (1999a), Exp. 2a Read<strong>in</strong>g time Word (HF) 32 312 352 388 40 76Lee et al. (1999a), Exp. 2b Read<strong>in</strong>g time Word (HF) 38 329 330 387 1 58Lee et al. (1999a), Exp. 2c Read<strong>in</strong>g time Word (HF) 32 310 351 373 41 63Lee et al. (1999a), Exp. 2d Read<strong>in</strong>g time Word (HF) 38 339 346 347 7 8Lee et al. (1999a), Exp. 2e Read<strong>in</strong>g time Word (LF) 32 361 343 400 18 39Lee et al. (1999a), Exp. 2f Read<strong>in</strong>g time Word (LF) 38 354 344 380 10 26Lee et al. (1999a), Exp. 2g Read<strong>in</strong>g time Word (LF) 32 327 329 371 2 44Lee et al. (1999a), Exp. 2h Read<strong>in</strong>g time Word (LF) 38 333 328 383 5 50Lee et al. (1999a), Exp. 2i Read<strong>in</strong>g time Nonword 32 326 332 389 6 63Lee et al. (1999a), Exp. 2j Read<strong>in</strong>g time Nonword 38 334 312 371 22 37Lee et al. (1999a), Exp. 2k Read<strong>in</strong>g time Nonword 32 308 314 383 6 75Lee et al. (1999a), Exp. 2l Read<strong>in</strong>g time Nonword 38 321 322 344 1 23Lee et al. (1999b), Exp. 1a Read<strong>in</strong>g time Word (HF) 29 358 399 41Lee et al. (1999b), Exp. 1b Read<strong>in</strong>g time Word (HF) 32 367 398 31Lee et al. (1999b), Exp. 1c Read<strong>in</strong>g time Word (HF) 35 349 394 45Lee et al. (1999b), Exp. 1d Read<strong>in</strong>g time Word (HF) 38 375 370 5Lee et al. (1999b), Exp. 1e Read<strong>in</strong>g time Word (HF) 41 371 376 5Pollatsek et al. (1992), Exp. 2 Read<strong>in</strong>g time Word Parafovea 306 317 331 349 14 32Note: Exp., Experiment; HF, high frequency; LF, low frequency.Unrelated<strong>phonological</strong>K. Rastle, M. Brysbaert / Cognitive Psychology 53 (2006) 97–145 109
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