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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
 (        C2        +       C1       )        /2

Level of confidence for all confidence intervals in output:
      95.00

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

Model:
  1

Variables:
Y =   D2       D1
M1 =  A2       A1
M2 =  B2       B1
M3 =  C2       C1

Computed Variables:
Ydiff =           D2        -       D1
M1diff =          A2        -       A1
M2diff =          B2        -       B1
M3diff =          C2        -       C1
M1avg  = (        A2        +       A1       )        /2                         Centered
M2avg  = (        B2        +       B1       )        /2                         Centered
M3avg  = (        C2        +       C1       )        /2                         Centered

Sample Size:
  100

**************************************************************************************
Outcome: Ydiff =  D2        -       D1

Model
               Coef         SE          t          p       LLCI       ULCI
constant     -.0316      .0170    -1.8586      .0661     -.0653      .0021

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
               Coef         SE          t          p       LLCI       ULCI
constant      .0145      .0181      .8024      .4243     -.0213      .0503

Degrees of freedom for all regression coefficient estimates:
  99

**************************************************************************************
Outcome: M3diff = 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: Ydiff =  D2        -       D1

Model Summary
          R       R-sq        MSE          F        df1        df2          p
      .1978      .0391      .0296      .6312     6.0000    93.0000      .7049

Model
               Coef         SE          t          p       LLCI       ULCI
constant     -.0315      .0176    -1.7875      .0771     -.0665      .0035
M1diff       -.0501      .1009     -.4968      .6205     -.2505      .1502
M2diff       -.0844      .1022     -.8252      .4114     -.2874      .1187
M3diff       -.0167      .1084     -.1536      .8782     -.2320      .1987
M1avg        -.0305      .1015     -.3002      .7647     -.2320      .1711
M2avg        -.0060      .0945     -.0633      .9497     -.1936      .1816
M3avg        -.1552      .1090    -1.4239      .1578     -.3716      .0612

Degrees of freedom for all regression coefficient estimates:
  93

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

Total effect of X on Y
     Effect         SE          t         df          p       LLCI       ULCI
     -.0316      .0170    -1.8586    99.0000      .0661     -.0653      .0021

Direct effect of X on Y
     Effect         SE          t         df          p       LLCI       ULCI
     -.0315      .0176    -1.7875    93.0000      .0771     -.0665      .0035

Indirect Effect of X on Y through M
          Effect     BootSE   BootLLCI   BootULCI
Ind1       .0014      .0030     -.0049      .0078
Ind2      -.0012      .0029     -.0088      .0035
Ind3      -.0003      .0028     -.0072      .0050
Total     -.0001      .0054     -.0130      .0092

Indirect Key
Ind1  'X'      ->       M1diff   ->       Ydiff
Ind2  'X'      ->       M2diff   ->       Ydiff
Ind3  'X'      ->       M3diff   ->       Ydiff

Pairwise Contrasts Between Specific Indirect Effects
          Effect     BootSE   BootLLCI   BootULCI
(C1)       .0026      .0039     -.0053      .0113
(C2)       .0016      .0043     -.0067      .0114
(C3)      -.0010      .0038     -.0089      .0068

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

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

