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. 2013 May 21;4:287. doi: 10.3389/fpsyg.2013.00287

Table 1.

Effect sizes (r) for the effect of working memory (WM) load (unless stated otherwise) on distractor processing (reaction time effects, unless stated otherwise).

Source Experiment Effect size (r) Effect of working memory load on
De Fockert et al. (2001) 0.773 Interference from distractor faces
Berti and Schröger (2003) −0.644 Distraction by auditory deviant
Lavie et al. (2004) 1 0.604 Interference from distractor letters (flanker interference)
Lavie et al. (2004) 2 0.514 Flanker interference with articulatory suppression
Lavie et al. (2004) 3 0.667 Flanker interference under low, high perceptual load
Lavie et al. (2004) 4 0.752 Flanker interference (single vs. dual task with high load)
Lavie et al. (2004) 5 0.836 Flanker interference (single vs. dual task with low load)
Stins et al. (2004) 1 0.369 Stroop interference (spatial WM task)
Stins et al. (2004) 2 −0.440 Simon congruence effect (spatial WM task)
Boot et al. (2005) 1 0.410 Attentional capture by onset singletons
Boot et al. (2005) 2 0.414 Attentional capture by color singletons
Lavie and De Fockert (2005) 1 0.653 Attentional capture by color singletons
Lavie and De Fockert (2005) 2 0.642 Attentional capture by color singletons
Kim et al. (2005) 1a 0.658 Stroop interference (verbal WM condition, target load)
Kim et al. (2005) 2a −0.638 Stroop interference (verbal WM condition, distractor load)
Kim et al. (2005) 3a 0.660 L/R congruency (verbal WM condition, target load)
Kim et al. (2005) 3b −0.548 L/R congruency (verbal WM condition, distractor load)
Park et al. (2007) 1 0.335 Interference on same/different judgments (target load)
Park et al. (2007) 1 −0.299 Interference on same/different judgments (distractor load)
Park et al. (2007) 2 0.464 Interference on same/different judgments (target load)
Park et al. (2007) 2 −0.483 Interference on same/different judgments (distractor load)
Chen and Chan (2007) 3 0.052 Flanker interference (narrow focus condition)
Pecchinenda and Heil (2007) 1 0.447 Interference from distractor faces
Pecchinenda and Heil (2007) 2 0.426 Interference from distractor faces
Pecchinenda and Heil (2007) 3 -0.062 Interference from emotional distractor faces
SanMiguel et al. (2008) −0.703 Distraction by auditory deviant
Macdonald and Lavie (2008) 6 0.336 Detection of expected stimulus during letter search
Dalton et al. (2009a) 0.443 Interference from auditory distractors
Dalton et al. (2009b) 1 0.505 Interference from tactile distractors (accuracy rates)
Dalton et al. (2009b) 2 0.455 Interference from tactile distractors (accuracy rates)
De Fockert and Wu (2009) 0.660 Ebbinghaus illusion
Kelley and Lavie (2011) 0.360 Interference from distractor objects
de Liaño et al. (2010) 1 −0.421 Stroop interference (distractor load) (inverse efficiency scores)
De Fockert et al. (2010) 2 0.453 Flanker interference (prime display)
Jongen and Jonkman (2011) 0.013 Interference from distractor faces
Legrain et al. (2011) −0.768 Capture by painful (vs. non-painful) tactile distractors
Pratt et al. (2011) 0.567 Interference from distractor arrows (accuracy rates)
De Fockert and Bremner (2011) 1 0.483 Target detection in inattentional blindness
De Fockert and Bremner (2011) 2 0.421 Target detection in inattentional blindness
De Fockert and Theeuwes (2012) -0.465 Attentional capture by color singletons
Carmel et al. (2012) 1 0.225 Distractor face identification
Carmel et al. (2012) 2 0.327 Distractor face identification
Carmel et al. (2012) 3 0.096 Distractor house identification
Ahmed and De Fockert (2012a) 1 0.613 Navon interference from global level
Ahmed and De Fockert (2012a) 2 −0.620 Navon interference from local level
Ahmed and De Fockert (2012a) 3 0.291 Navon interference from global level
Ahmed and De Fockert (2012a) 3 −0.261 Navon interference from local level
Ahmed and De Fockert (2012b) 1 0.763 Flanker interference (High WM capacity)
Ahmed and De Fockert (2012b) 1 −0.422 Flanker interference (Low WM capacity)

Positive effect sizes represent cases where distractor processing was greater under high (vs. low) working memory load. Negative effect sizes represent cases where distractor processing was greater under low (vs. high) working memory load. Effect sizes in bold are statistically significant effects at p < 0.05. Papers included in the meta-analysis were first identified via PubMed (search terms “working memory selective attention”). The search returned 750 articles, from which relevant papers were selected, i.e., when they measured distractor processing in selective attention whilst manipulating working memory load. In addition, any relevant work was included that was cited in the selected papers, but had not been identified in the PubMed search.