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Run MATRIX procedure:

*********************** MEMORE Procedure for SPSS Version 3.0 ***********************

                           Written by Amanda Montoya

                    Documentation available at github.com/akmontoya/MEMORE

**************************** ANALYSIS NOTES AND WARNINGS ****************************

Bootstrap confidence interval method used: Percentile bootstrap.

Number of bootstrap samples for bootstrap confidence intervals:
  5000

The following variables were mean centered prior to analysis:
 (        A2        +       A1       )        /2
 (        B2        +       B1       )        /2

Level of confidence for all confidence intervals in output:
      95.00

**************************************************************************************

Model:
  1

Variables:
Y =   C2       C1
M1 =  A2       A1
M2 =  B2       B1

Computed Variables:
Ydiff =           C2        -       C1
M1diff =          A2        -       A1
M2diff =          B2        -       B1
M1avg  = (        A2        +       A1       )        /2                         Centered
M2avg  = (        B2        +       B1       )        /2                         Centered

Sample Size:
  100

**************************************************************************************
Outcome: Ydiff =  C2        -       C1

Model
               Coef         SE          t          p       LLCI       ULCI
constant      .0153      .0163      .9404      .3493     -.0170      .0477

Degrees of freedom for all regression coefficient estimates:
  99

**************************************************************************************
Outcome: M1diff = A2        -       A1

Model
               Coef         SE          t          p       LLCI       ULCI
constant     -.0271      .0176    -1.5385      .1271     -.0621      .0079

Degrees of freedom for all regression coefficient estimates:
  99

**************************************************************************************
Outcome: M2diff = B2        -       B1

Model Summary
          R       R-sq        MSE          F        df1        df2          p
      .2351      .0553      .0314     2.8371     2.0000    97.0000      .0635

Model
              coeff         SE          t          p       LLCI       ULCI
constant      .0208      .0179     1.1603      .2488     -.0148      .0564
M1diff        .2333      .1010     2.3086      .0231      .0327      .4338
M1avg        -.0578      .0963     -.6002      .5498     -.2489      .1333

Degrees of freedom for all regression coefficient estimates:
  97

**************************************************************************************
Outcome: Ydiff =  C2        -       C1

Model Summary
          R       R-sq        MSE          F        df1        df2          p
      .1720      .0296      .0269      .7238     4.0000    95.0000      .5778

Model
               Coef         SE          t          p       LLCI       ULCI
constant      .0160      .0167      .9563      .3413     -.0172      .0492
M1diff       -.0360      .0962     -.3744      .7089     -.2270      .1549
M2diff       -.1123      .0967    -1.1607      .2487     -.3043      .0798
M1avg        -.0617      .0931     -.6619      .5097     -.2466      .1233
M2avg        -.0733      .0875     -.8374      .4044     -.2469      .1004

Degrees of freedom for all regression coefficient estimates:
  95

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

Total effect of X on Y
     Effect         SE          t         df          p       LLCI       ULCI
      .0153      .0163      .9404    99.0000      .3493     -.0170      .0477

Direct effect of X on Y
     Effect         SE          t         df          p       LLCI       ULCI
      .0160      .0167      .9563    95.0000      .3413     -.0172      .0492

Indirect Effect of X on Y through M
          Effect     BootSE   BootLLCI   BootULCI
Ind1       .0010      .0031     -.0045      .0084
Ind2      -.0023      .0036     -.0111      .0033
Ind3       .0007      .0010     -.0008      .0034
Total     -.0006      .0048     -.0109      .0095

Indirect Key
Ind1  'X'      ->       M1diff   ->       Ydiff
Ind2  'X'      ->       M2diff   ->       Ydiff
Ind3  'X'      ->       M1diff   ->       M2diff   ->       YDiff

Pairwise Contrasts Between Specific Indirect Effects
          Effect     BootSE   BootLLCI   BootULCI
(C1)       .0033      .0042     -.0042      .0128
(C2)       .0003      .0034     -.0063      .0083
(C3)      -.0030      .0041     -.0132      .0035

Contrast Key:
(C1)  Ind1      -       Ind2
(C2)  Ind1      -       Ind3
(C3)  Ind2      -       Ind3

------ END MATRIX -----

