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    Feature Search

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    1 .022a .000 .000 476.217

    a. Predictors: (Constant), Number of distractors

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 188998.321 1 188998.321 .833 .361a

    Residual 4.023E8 1774 226782.312

    Total 4.025E8 1775

    a. Predictors: (Constant), Number of distractors

    b. Dependent Variable: RT (ms)

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    Conjunction Search

    Model Summary

    Model R R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    1 .504a

    .254 .253 741.791

    a. Predictors: (Constant), Number of distractors

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 3.319E8 1 3.319E8 603.183 .000a

    Residual 9.762E8 1774 550254.015

    Total 1.308E9 1775

    a. Predictors: (Constant), Number of distractors

    b. Dependent Variable: RT (ms)

    Coefficientsa

    Model

    Unstandardized Coefficients Standardized Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 925.896 25.909 35.736 .000

    Number of distractors 16.676 .679 .504 24.560 .000

    a. Dependent Variable: RT (ms)

    Distractor type

    Feature Conjunctive

    Presence ofTarget Presence ofTarget

    Present Absent Present Absent

    Mean Mean Mean Mean

    RT (ms) 709 832 1154 1632

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    Model Summary

    Model

    R

    R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    Distractors_and_Target = Feature

    Search and Target Present (Selected)

    1 .000a

    .000 -.001 412.930

    a. Predictors: (Constant), Number of distractors

    ANOVAb,c

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 6.333 1 6.333 .000 .995a

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    Coefficientsa,b

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 708.622 20.397 34.741 .000

    Number of distractors .003 .535 .000 .006 .995

    a. Dependent Variable: RT (ms)

    b. Selecting only cases for which Distractors_and_Target = Feature Search and Target Present

    Model Summary

    Model

    R

    R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    Distractors_and_Target = Feature

    Search and Target Absent (Selected)

    1 .039a

    .002 .000 525.149

    a. Predictors: (Constant), Number of distractors

    ANOVAb,c

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 374908.556 1 374908.556 1.359 .244a

    Residual 2.443E8 886 275781.806

    Total 2.447E8 887

    a. Predictors: (Constant), Number of distractors

    b. Dependent Variable: RT (ms)

    c. Selecting only cases for which Distractors_and_Target = Feature Search and Target Absent

    Coefficientsa,b

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 809.455 25.940 31.205 .000

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    Model Summary

    Model

    R

    R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    Distractors_and_Target = Conjunction

    Search and Target Present (Selected)

    1 .444a

    .197 .196 602.654

    a. Predictors: (Constant), Number of distractors

    ANOVAb,c

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 78953944.016 1 78953944.016 217.389 .000a

    Residual 3.218E8 886 363191.816

    Total 4.007E8 887

    a. Predictors: (Constant), Number of distractors

    b. Dependent Variable: RT (ms)

    c. Selecting only cases for which Distractors_and_Target = Conjunction Search and Target Present

    Coefficientsa,b

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 831.501 29.769 27.932 .000

    Number of distractors 11.503 .780 .444 14.744 .000

    a. Dependent Variable: RT (ms)

    b. Selecting only cases for which Distractors_and_Target = Conjunction Search and Target Present

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    Model Summary

    Model

    R

    R Square

    Adjusted R

    Square

    Std. Error of the

    Estimate

    Distractors_and_Target = Conjunction

    Search and Target Absent (Selected)

    1 .595a

    .354 .353 766.651

    a. Predictors: (Constant), Number of distractors

    ANOVAb,c

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 2.849E8 1 2.849E8 484.720 .000a

    Residual 5.207E8 886 587753.638

    Total 8.056E8 887

    a. Predictors: (Constant), Number of distractors

    b. Dependent Variable: RT (ms)

    c. Selecting only cases for which Distractors_and_Target = Conjunction Search and Target Absent

    Coefficientsa,b

    Model

    Unstandardized Coefficients

    Standardized

    Coefficients

    t Sig.B Std. Error Beta

    1 (Constant) 1020.291 37.869 26.942 .000

    Number of distractors 21.850 .992 .595 22.016 .000

    a. Dependent Variable: RT (ms)

    b. Selecting only cases for which Distractors_and_Target = Conjunction Search and Target Absent

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    Descriptives - RT (ms)

    N Mean Std. Deviation Std. Error

    95% Confidence Interval for Mean

    Minimum MaximumLower Bound Upper Bound

    Feature Search and Target Present 888 708.71 412.697 13.849 681.53 735.89 328 4793

    Feature Search and Target Absent 888 831.65 525.256 17.626 797.05 866.24 359 4270

    Conjunction Search and Target Present 888 1153.57 672.157 22.556 1109.30 1197.84 391 5524

    Conjunction Search and Target Absent 888 1632.09 953.038 31.982 1569.32 1694.86 391 6582

    Total 3552 1081.51 760.698 12.764 1056.48 1106.53 328 6582

    Distractor type

    Feature Conjunctive

    Target Present Target Absent Target Present Target Absent

    y-intercept slope y-intercept slope y-intercept slope y-intercept slope

    Coefficients 708.6 .003 809.5 .793 831.5 11.5 1020.3 21.9

    T (Sig) 34.7 (.000) .006 (.995) 31.2 (.000) 1.2 (.244) 27.9 (.000) 14.7 (.000) 26.9 (.000) 22.0 (.000)

    ANOVA - RT (ms)

    Sum of Squares df Mean Square F Sig.

    Between Groups 4.527E8 3 1.509E8 334.129 .000Within Groups 1.602E9 3548 451572.151

    Total 2.055E9 3551