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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:
  13

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  )
Int2  =  BMI      *        (        WEMBS_T2  -       WEMBS_T1 )

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
      .5226      .2731    15.0515     2.9520     7.0000    55.0000      .0107

Model
               Coef         SE          t          p       LLCI       ULCI
constant    -4.1734     2.0984    -1.9888      .0517    -8.3787      .0320
W             .0635      .0788      .8052      .4242     -.0945      .2215
M1diff        .2684      .2873      .9344      .3542     -.3073      .8441
M2diff       -.5000      .5562     -.8989      .3727    -1.6147      .6148
Int1         -.0080      .0111     -.7165      .4767     -.0302      .0143
Int2          .0067      .0223      .2994      .7658     -.0380      .0513
M1avg        -.0017      .0630     -.0270      .9786     -.1280      .1246
M2avg        -.2732      .1334    -2.0477      .0454     -.5407     -.0058

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    -2.8911      .8304    -3.4813      .0010    -4.5553    -1.2268
    24.8748      .0000      .0000    -2.5942      .5390    -4.8129      .0000    -3.6745    -1.5140
    31.8449    -1.0269      .5395    -2.2974      .7150    -3.2130      .0022    -3.7304     -.8644

     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:   M1diff   (M)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI     Effect         SE          t          p       LLCI       ULCI
    17.9047      .1259      .1074     1.1723      .2461     -.0893      .3410
    24.8748      .0704      .0728      .9662      .3382     -.0756      .2163
    31.8449      .0148      .1053      .1411      .8883     -.1961      .2258

     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:   M2diff   (M)
 Outcome: Ydiff    (Y)
 Mod:     BMI      (W)


        BMI     Effect         SE          t          p       LLCI       ULCI
    17.9047     -.3806      .1808    -2.1053      .0398     -.7430     -.0183
    24.8748     -.3342      .1044    -3.1994      .0023     -.5435     -.1248
    31.8449     -.2877      .1931    -1.4898      .1420     -.6747      .0993

     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    -2.8911      .8304    -3.4813    55.0000      .0010    -4.5553    -1.2268
    24.8748      .0000      .0000    -2.5942      .5390    -4.8129    55.0000      .0000    -3.6745    -1.5140
    31.8449    -1.0269      .5395    -2.2974      .7150    -3.2130    55.0000      .0022    -3.7304     -.8644

     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.

Conditional Indirect Effect of X on Y through Mediator at values of the Moderator
  Ind:      Ind1
  Med:      M1diff    (M1)


        BMI     Effect       MCSE     MCLLCI     MCULCI
    17.9047      .1558      .1924     -.1319      .6236
    24.8748      .0871      .1259     -.1139      .3941
    31.8449      .0184      .1586     -.3169      .3731

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

Conditional Indirect Effect of X on Y through Mediator at values of the Moderator
  Ind:      Ind2
  Med:      M2diff    (M2)


        BMI     Effect       MCSE     MCLLCI     MCULCI
    17.9047     -.6223      .4016    -1.5801     -.0121
    24.8748     -.5463      .2792    -1.1700     -.1039
    31.8449     -.4704      .3902    -1.3841      .1490

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

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      .0635      .0788      .8052    55.0000      .4242     -.0945      .2215

Index of Moderated Mediation for each Indirect Effect.
          Effect       MCSE     MCLLCI     MCULCI
Ind1      -.8174     1.0475    -3.1989     1.0777
Ind2       .0109      .0403     -.0709      .0977

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

