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. 2016 Mar 31;7:244. doi: 10.3389/fpsyg.2016.00244

Table 4.

Detailed test statistics from the ANOVAs on mean percent correct and response times at each second delay level separately (Analysis 3 in the main text).

Percent correct
Response times
Second delay Effect Contrast F(1,47) p ηp2 F(1,47) p ηp2
0 ms Set size 104.33 <0.001 0.69 14.49 <0.001 0.24
Cue type Invalid vs. neutral (costs) 3.08 0.086 0.06 18.17 <0.001 0.28
Neutral vs. valid (benefit) 1.44 0.237 0.03 30.53 <0.001 0.39
Set size × cue type Invalid vs. neutral (costs) 0.03 0.873 <0.01 0.55 0.464 0.01
Neutral vs. valid (benefit) 1.75 0.192 0.04 2.07 0.157 0.04
400 ms Set size 112.75 <0.001 0.71 7.43 0.009 0.14
Cue type Invalid vs. neutral (costs) 6.93 0.011 0.13 51.12 <0.001 0.52
Neutral vs. valid (benefit) 32.94 <0.001 0.41 76.35 <0.001 0.62
Set size × cue type Invalid vs. neutral (costs) 0.02 0.882 <0.01 0.85 0.360 0.02
Neutral vs. valid (benefit) 0.41 0.526 0.01 4.18 0.046 0.08
900 ms Set size 166.04 <0.001 0.78 15.02 <0.001 0.24
Cue type Invalid vs. neutral (costs) 6.49 0.014 0.12 63.30 <0.001 0.57
Neutral vs. valid (benefit) 37.99 <0.001 0.45 123.42 <0.001 0.72
Set size × cue type Invalid vs. neutral (costs) 0.43 0.517 <0.01 3.17 0.082 0.06
Neutral vs. valid (benefit) 1.46 0.234 0.03 <0.01 0.995 <0.01
1900 ms Set size 150.03 <0.001 0.76 4.69 0.035 0.09
Cue type Invalid vs. neutral (costs) 5.76 0.020 0.11 35.82 <0.001 0.43
Neutral vs. valid (benefit) 43.82 <0.001 0.48 121.90 <0.001 0.72
Set size × cue type Invalid vs. neutral (costs) 0.25 0.617 <0.01 1.66 0.204 0.03
Neutral vs. valid (benefit) 0.02 0.884 <0.01 0.19 0.668 <0.01

Repeated contrasts were calculated on the variable cue type to assess benefits and costs.