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    SPSS

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    ( Custom Dialog ) - - SPSS-. )( spd

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    NORMAL THEORY TESTS FOR INDIRECT EFFECTS

    Indirect Effects of IV on DV through Proposed Mediators (ab paths)

    Effect se Z p

    TOTAL .1338 .0299 4.4745 .0000

    M1 .1287 .0233 5.5233 .0000

    M2 .0052 .0242 .2127 .8316

    -M1 . . M2

    BOOTSTRAP RESULTS FOR INDIRECT EFFECTS

    Indirect Effects of IV on DV through Proposed Mediators (ab paths)

    Data boot Bias SE

    TOTAL .1338 .1341 .0003 .0306

    M1 .1287 .1275 -.0012 .0235

    M2 .0052 .0066 .0015 .0261

    Bias Corrected and Accelerated Confidence Intervals

    Lower Upper

    TOTAL .0718 .1944

    M1 .0873 .1770

    M2 -.0485 .0534

    8111. Bootstrap- . -

    1 17.- 08. - M1 05.- 04.- M2. (>1.19p) 59%

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    (Preacher, Rucker, & Hayes, 2007) modprobe.sbs .

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    ( 9 - M) Y) ,task) performance .(predictor - -F ) reward-

    - 3", "Mean and +/- One SD on M . , .

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    b se t p

    constant 68.9074 11.1231 6.1950 .0000

    reward -1.1702 .8147 -1.4364 .1577

    task -8.4244 2.5812 -3.2637 .0021

    interact .6328 .1968 3.2161 .0024

    Interact Is defined As:

    reward X task

    p=0.0024 : .

    Conditional Effect of Focal Predictor at Values of the Moderator Variable

    task b se t p LLCI(b) ULCI(b)

    1.8130 -.0229 .5284 -.0433 .9656 -1.0864 1.0406

    3.8200 1.2472 .3877 3.2172 .0024 .4669 2.0276

    5.8270 2.5173 .5774 4.3600 .0001 1.3551 3.6796

    Alpha level used for confidence intervals:

    .05

    ) ( p=0.0024(, )1

    (. .p

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    : PROCESS

    PROCESS VARS = varlist/Y = yvar/X = xvar/M = mvlist/MODEL = num [/W = wvar] [/Z = zvar] [/V = vvar] [/Q = qvar] [/WMODVAL = wval] [/ZMODVAL = zval] [/VMODVAL = vval] [/QMODVAL = qval] [/MMODVAL = mval] [/XMODVAL = xval] [/CLUSTER = clvar] [/CONTRAST = cst] [/BOOT = z{1000**}] [/CONF = ci{95**}] [/EFFSIZE = size{0**}] [/NORMAL = t{0**}] [/JN = j{0}] [/COEFFCI = cci{1***}] [/VARORDER = vord(2**}] [/HC3 = h{0**}] [/COVMY = cov{0**}] [/TOTAL = tot{0**}] [/CENTER = cntr{0**}] [/QUANTILE = qnt{0**}] [/DETAIL = dt{1**}] [/PLOT = pt{0**}] [/SEED = sd{random**} [/PERCENT = pb{0**}] [/ITERATE = it{10000*}] [/CONVERGE = cvg{.00000001}]. [/SAVEBOOT = file].

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    process vars = X M1 M2 Y/y = Y/x = X/m = M1 M2/model = 4/total = 1 /effsize = 1/boot=10000 .

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    :

    ***************** TOTAL, DIRECT, AND INDIRECT EFFECTS ********************

    Total effect of X on Y

    Effect SE t p

    .3731 .0488 7.6381 .0000

    Direct effect of X on Y

    Effect SE t p

    .2393 .0532 4.4977 .0000

    Indirect effect of X on Y

    Effect Boot SE BootLLCI BootULCI

    TOTAL .1338 .0306 .0758 .1948

    M1 .1287 .0242 .0866 .1828

    M2 .0052 .0263 -.0471 .0565

    Partially standardized indirect effect of X on Y

    Effect Boot SE BootLLCI BootULCI

    TOTAL .0772 .0178 .0439 .1132

    M1 .0742 .0138 .0499 .1043

    M2 .0030 .0152 -.0271 .0327

    Completely standardized indirect effect of X on Y

    Effect Boot SE BootLLCI BootULCI

    TOTAL .1122 .0255 .0639 .1640

    M1 .1079 .0201 .0729 .1521

    M2 .0043 .0220 -.0397 .0478

    1 M1 -( Indirect ) . 1 M2 - p

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    Statistical Model

    Indirect effect of X on Y through Mj = a1jb1j Total indirect effect of X on Y through all M = j (a1jb1j) Direct effect of X on Y = c'1 Note: Model 4 allows up to 10 mediators (M) in the model simultaneously and operating in parallel (i.e., not affecting each other).

    Minimum PROCESS command structure PROCESS vars = xvar mvlist yvar/y=yvar/x=xvar/m=mvlist/model=4.

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    liking protest -sexism.

    Johnson-Neyman .1.19 protest sexism

    (2

    process vars = mathprob gender explms treat/y = mathprob/x = treat/m = explms /w = gender/mmodval = 4/model = 3.

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    process vars = cond pmi react/y = react/x = cond/m = pmi/model = 4/total = 1 /effsize = 1/boot=10000.

    cond react

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    (4

    process vars = know educ attn elab sex age/y=know/x=educ/m=attn elab/model=4 /contrast=1/normal=1/conf=90.

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    process vars = cond import pmi react nbhrhood/y = react/x = cond/m = import pmi /model = 6/hc3 = 1/effsize = 1/total = 1/boot = 10000/cluster = nbhrhood.

    " cond react " pmi react cond

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    pmi -import import pmi.

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    process vars = frame euskept peffic risk turnout/y = turnout/x = frame/m = risk /w = euskept/z = peffic/model = 68/boot = 20000/wmodval = 2/center = 1.