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

Number of samples for Monte Carlo condifidence intervals:
  5000

The following variables were mean centered prior to analysis:
 (        TSRQ_T2   +       TSRQ_T1  )        /2
 (        WEMBS_T2  +       WEMBS_T1 )        /2

Level of confidence for all confidence intervals in output:
      95.00

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

Model:
  14

Variables:
Y =   DASSS_T2 DASSS_T1
W =   BMI
M1 =  TSRQ_T2  TSRQ_T1
M2 =  WEMBS_T2 WEMBS_T1

Computed Variables:
Ydiff =           DASSS_T2  -       DASSS_T1
M1diff =          TSRQ_T2   -       TSRQ_T1
M2diff =          WEMBS_T2  -       WEMBS_T1
M1avg  = (        TSRQ_T2   +       TSRQ_T1  )        /2                         Centered
M2avg  = (        WEMBS_T2  +       WEMBS_T1 )        /2                         Centered
Int1  =  BMI      *        (        TSRQ_T2   +       TSRQ_T1  )        /2       Centered
Int2  =  BMI      *        (        WEMBS_T2  +       WEMBS_T1 )        /2       Centered

Sample Size:
  63

**************************************************************************************
Outcome: Ydiff =  DASSS_T2  -       DASSS_T1

Model Summary
          R       R-sq        MSE          F        df1        df2          p
      .1110      .0123    18.4397      .7612     1.0000    61.0000      .3864

Model
               Coef         SE          t          p       LLCI       ULCI
constant    -4.7456     2.0201    -2.3493      .0221    -8.7837     -.7076
W             .0683      .0782      .8724      .3864     -.0881      .2247

Degrees of freedom for all regression coefficient estimates:
  61

Conditional Effect of Focal Predictor on Outcome at values of Moderator(s)
 Focal:   'X'      (X)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI     Effect         SE          t          p       LLCI       ULCI
    17.9047    -3.5234      .7682    -4.5867      .0000    -5.0595    -1.9873
    24.8748    -3.0476      .5410    -5.6332      .0000    -4.1294    -1.9658
    31.8449    -2.5718      .7682    -3.3479      .0014    -4.1079    -1.0357

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

Degrees of freedom for all conditional effects:
  61

**************************************************************************************
Outcome: M1diff = TSRQ_T2   -       TSRQ_T1

Model
               Coef         SE          t          p       LLCI       ULCI
constant     1.2381      .8625     1.4355      .1562     -.4860     2.9621

Degrees of freedom for all regression coefficient estimates:
  62

**************************************************************************************
Outcome: M2diff = WEMBS_T2  -       WEMBS_T1

Model
               Coef         SE          t          p       LLCI       ULCI
constant     1.6349      .6252     2.6152      .0112      .3852     2.8846

Degrees of freedom for all regression coefficient estimates:
  62

**************************************************************************************
Outcome: Ydiff =  DASSS_T2  -       DASSS_T1

Model Summary
          R       R-sq        MSE          F        df1        df2          p
      .5157      .2660    15.1987     2.8473     7.0000    55.0000      .0131

Model
               Coef         SE          t          p       LLCI       ULCI
constant    -4.1200     2.0477    -2.0120      .0491    -8.2237     -.0163
W             .0617      .0773      .7976      .4285     -.0933      .2166
M1diff        .0679      .0737      .9207      .3612     -.0799      .2156
M2diff       -.3411      .1060    -3.2164      .0022     -.5536     -.1286
M1avg         .0418      .2473      .1689      .8665     -.4539      .5375
M2avg        -.2606      .5341     -.4880      .6275    -1.3311      .8098
Int1         -.0019      .0102     -.1863      .8529     -.0224      .0186
Int2         -.0004      .0219     -.0191      .9848     -.0442      .0434

Degrees of freedom for all regression coefficient estimates:
  55

--------------------------------------------------------------------------------------

Conditional Effect of Focal Predictor on Outcome at values of Moderator(s)
 Focal:   'X'      (X)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI      M1avg      M2avg     Effect         SE          t          p       LLCI       ULCI
    17.9047     1.0269     -.5395    -2.8632      .7744    -3.6973      .0005    -4.4152    -1.3113
    24.8748      .0000      .0000    -2.5859      .5373    -4.8127      .0000    -3.6627    -1.5091
    31.8449    -1.0269      .5395    -2.2844      .7407    -3.0843      .0032    -3.7688     -.8001

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

     Values for mediator averages are the conditional values based on the values of the moderator.

--------------------------------------------------------------------------------------

Conditional Effect of Focal Predictor on Outcome at values of Moderator(s)
 Focal:   M1avg    (XM)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI     Effect         SE          t          p       LLCI       ULCI
    17.9047      .0077      .0831      .0924      .9267     -.1588      .1742
    24.8748     -.0056      .0623     -.0899      .9287     -.1304      .1192
    31.8449     -.0189      .1049     -.1799      .8579     -.2291      .1913

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

--------------------------------------------------------------------------------------

Conditional Effect of Focal Predictor on Outcome at values of Moderator(s)
 Focal:   M2avg    (XM)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI     Effect         SE          t          p       LLCI       ULCI
    17.9047     -.2681      .1819    -1.4738      .1462     -.6327      .0965
    24.8748     -.2710      .1334    -2.0322      .0470     -.5383     -.0037
    31.8449     -.2739      .2212    -1.2385      .2208     -.7172      .1693

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

--------------------------------------------------------------------------------------

Degrees of freedom for all conditional effects:
  55

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

Conditional Total Effect of X on Y at values of the Moderator(s)
        BMI     Effect         SE          t         df          p       LLCI       ULCI
    17.9047    -3.5234      .7682    -4.5867    61.0000      .0000    -5.0595    -1.9873
    24.8748    -3.0476      .5410    -5.6332    61.0000      .0000    -4.1294    -1.9658
    31.8449    -2.5718      .7682    -3.3479    61.0000      .0014    -4.1079    -1.0357

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

Conditional Direct Effect of X on Y at values of the Moderator(s)
        BMI      M1avg      M2avg     Effect         SE          t         df          p       LLCI       ULCI
    17.9047     1.0269     -.5395    -2.8632      .7744    -3.6973    55.0000      .0005    -4.4152    -1.3113
    24.8748      .0000      .0000    -2.5859      .5373    -4.8127    55.0000      .0000    -3.6627    -1.5091
    31.8449    -1.0269      .5395    -2.2844      .7407    -3.0843    55.0000      .0032    -3.7688     -.8001

     Values for quantitative moderators are the mean and plus/minus one SD from the mean.

     Values for mediator averages (Mavg) are the conditional values based on the values of the moderator.

Indirect Effect of X on Y through M
          Effect       MCSE     MCLLCI     MCULCI
Ind1       .0840      .1220     -.1075      .3773
Ind2      -.5577      .2790    -1.1816     -.0992
Total     -.4736      .3095    -1.1217      .0841

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

******************************** INDICES OF MODERATION ********************************

Test of Moderation of the Total Effect
      Effect         SE          t         df          p       LLCI       ULCI
W      .0683      .0782      .8724    61.0000      .3864     -.0881      .2247

Test of Moderation of the Direct Effect
      Effect         SE          t         df          p       LLCI       ULCI
W      .0617      .0773      .7976    55.0000      .4285     -.0933      .2166

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

