Untitled.htm

FREQUENCIES VARIABLES=BLOCKCH WTP_PAY VERIMP INVORIE TMPORIE TCHFAM LUXATT AGE_CON
  /NTILES=4
  /STATISTICS=MEAN MEDIAN SUM
  /HISTOGRAM
  /ORDER=ANALYSIS.

Statistics
		Blockchain Verification (0=Traditional, 1=Blockchain)	Willingness to Pay (1-7)	VERIMP	Investment Orientation (Mean)	Temporal Orientation (Mean w/items 3-4 reversed)	TCHFAM	LUXATT	AGE_CON
N	Valid	299	300	300	300	300	300	300	300
N	Missing	1	0	0	0	0	0	0	0
Mean		.49	4.0700	3.2833	4.3800	4.4850	4.3000	3.2407	40.03
Median		.00	4.0000	3.0000	4.6667	4.5000	4.3333	3.0000	38.00
Sum		146	1221.00	985.00	1314.00	1345.50	1290.00	972.20	12009
Percentiles	25	.00	3.0000	2.0000	3.3333	4.0000	3.0000	2.0000	30.25
	50	.00	4.0000	3.0000	4.6667	4.5000	4.3333	3.0000	38.00
	75	1.00	5.0000	4.0000	5.5833	5.1875	5.3333	4.4000	49.00

Blockchain Verification (0=Traditional, 1=Blockchain)
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	0	153	51.0	51.2	51.2
1	146	48.7	48.8	100.0
Total	299	99.7	100.0
Missing	System	1	.3
Total	300	100.0

Willingness to Pay (1-7)
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.00	24	8.0	8.0	8.0
2.00	41	13.7	13.7	21.7
3.00	40	13.3	13.3	35.0
4.00	57	19.0	19.0	54.0
5.00	78	26.0	26.0	80.0
6.00	43	14.3	14.3	94.3
7.00	17	5.7	5.7	100.0
Total	300	100.0	100.0

VERIMP
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.00	25	8.3	8.3	8.3
2.00	58	19.3	19.3	27.7
3.00	78	26.0	26.0	53.7
4.00	85	28.3	28.3	82.0
5.00	54	18.0	18.0	100.0
Total	300	100.0	100.0

Investment Orientation (Mean)
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.00	4	1.3	1.3	1.3
	1.33	1	.3	.3	1.7
	1.67	5	1.7	1.7	3.3
	2.00	25	8.3	8.3	11.7
	2.33	2	.7	.7	12.3
	2.67	11	3.7	3.7	16.0
	3.00	20	6.7	6.7	22.7
	3.33	19	6.3	6.3	29.0
	3.67	12	4.0	4.0	33.0
	4.00	28	9.3	9.3	42.3
	4.33	20	6.7	6.7	49.0
	4.67	20	6.7	6.7	55.7
	5.00	33	11.0	11.0	66.7
	5.33	25	8.3	8.3	75.0
	5.67	19	6.3	6.3	81.3
	6.00	34	11.3	11.3	92.7
	6.33	9	3.0	3.0	95.7
	6.67	3	1.0	1.0	96.7
	7.00	10	3.3	3.3	100.0
	Total	300	100.0	100.0

Temporal Orientation (Mean w/items 3-4 reversed)
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.75	1	.3	.3	.3
	2.25	3	1.0	1.0	1.3
	2.50	2	.7	.7	2.0
	2.75	1	.3	.3	2.3
	3.00	16	5.3	5.3	7.7
	3.25	8	2.7	2.7	10.3
	3.50	13	4.3	4.3	14.7
	3.75	21	7.0	7.0	21.7
	4.00	44	14.7	14.7	36.3
	4.25	34	11.3	11.3	47.7
	4.50	25	8.3	8.3	56.0
	4.75	27	9.0	9.0	65.0
	5.00	30	10.0	10.0	75.0
	5.25	27	9.0	9.0	84.0
	5.50	21	7.0	7.0	91.0
	5.75	8	2.7	2.7	93.7
	6.00	12	4.0	4.0	97.7
	6.25	5	1.7	1.7	99.3
	6.50	1	.3	.3	99.7
	6.75	1	.3	.3	100.0
	Total	300	100.0	100.0

TCHFAM
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.00	7	2.3	2.3	2.3
	1.33	4	1.3	1.3	3.7
	1.67	2	.7	.7	4.3
	2.00	16	5.3	5.3	9.7
	2.33	15	5.0	5.0	14.7
	2.67	9	3.0	3.0	17.7
	3.00	24	8.0	8.0	25.7
	3.33	12	4.0	4.0	29.7
	3.67	21	7.0	7.0	36.7
	4.00	20	6.7	6.7	43.3
	4.33	24	8.0	8.0	51.3
	4.67	24	8.0	8.0	59.3
	5.00	31	10.3	10.3	69.7
	5.33	18	6.0	6.0	75.7
	5.67	26	8.7	8.7	84.3
	6.00	23	7.7	7.7	92.0
	6.33	6	2.0	2.0	94.0
	6.67	6	2.0	2.0	96.0
	7.00	12	4.0	4.0	100.0
	Total	300	100.0	100.0

LUXATT
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	1.00	19	6.3	6.3	6.3
	1.20	8	2.7	2.7	9.0
	1.40	5	1.7	1.7	10.7
	1.60	5	1.7	1.7	12.3
	1.80	16	5.3	5.3	17.7
	2.00	32	10.7	10.7	28.3
	2.20	11	3.7	3.7	32.0
	2.40	11	3.7	3.7	35.7
	2.60	21	7.0	7.0	42.7
	2.80	15	5.0	5.0	47.7
	3.00	14	4.7	4.7	52.3
	3.20	9	3.0	3.0	55.3
	3.40	19	6.3	6.3	61.7
	3.60	10	3.3	3.3	65.0
	3.80	7	2.3	2.3	67.3
	4.00	13	4.3	4.3	71.7
	4.20	8	2.7	2.7	74.3
	4.40	10	3.3	3.3	77.7
	4.60	8	2.7	2.7	80.3
	4.80	7	2.3	2.3	82.7
	5.00	12	4.0	4.0	86.7
	5.20	11	3.7	3.7	90.3
	5.40	6	2.0	2.0	92.3
	5.60	5	1.7	1.7	94.0
	5.80	3	1.0	1.0	95.0
	6.00	5	1.7	1.7	96.7
	6.20	4	1.3	1.3	98.0
	6.40	1	.3	.3	98.3
	6.80	3	1.0	1.0	99.3
	7.00	2	.7	.7	100.0
	Total	300	100.0	100.0

FREQUENCIES VARIABLES=BLOCKCH PURFREQ AGEGRP GENDER INCOME GEN_CON
  /NTILES=4
  /STATISTICS=MEAN MEDIAN SUM
  /HISTOGRAM
  /ORDER=ANALYSIS.

Blockchain Verification (0=Traditional, 1=Blockchain)
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	0	153	51.0	51.2	51.2
1	146	48.7	48.8	100.0
Total	299	99.7	100.0
Missing	System	1	.3
Total	300	100.0

PURFREQ
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Frequently (more than 5 times per year)	6	2.0	2.0	2.0
	Never	83	27.7	27.7	29.7
	Occasionally (1-2 times per year)	64	21.3	21.3	51.0
	Rarely (less than once per year)	134	44.7	44.7	95.7
	Regularly (3-5 times per year)	13	4.3	4.3	100.0
	Total	300	100.0	100.0

AGEGRP
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	18-24	38	12.7	12.7	12.7
25-34	79	26.3	26.3	39.0
35-44	79	26.3	26.3	65.3
45-54	61	20.3	20.3	85.7
55-64	25	8.3	8.3	94.0
65 or older	18	6.0	6.0	100.0
Total	300	100.0	100.0

GENDER
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Female	150	50.0	50.0	50.0
Male	149	49.7	49.7	99.7
Prefer not to say	1	.3	.3	100.0
Total	300	100.0	100.0

INCOME
		Frequency	Percent	Valid Percent	Cumulative Percent
Valid	$100,000 - $149,999	54	18.0	18.0	18.0
	$150,000 - $199,999	21	7.0	7.0	25.0
	$200,000 or more	13	4.3	4.3	29.3
	$25,000 - $49,999	62	20.7	20.7	50.0
	$50,000 - $74,999	59	19.7	19.7	69.7
	$75,000 - $99,999	46	15.3	15.3	85.0
	Less than $25,000	38	12.7	12.7	97.7
	Prefer not to say	7	2.3	2.3	100.0
	Total	300	100.0	100.0

GEN_CON
	Frequency	Percent	Valid Percent	Cumulative Percent
Valid	Man	149	49.7	49.7	49.7
Woman	151	50.3	50.3	100.0
Total	300	100.0	100.0

RELIABILITY
  /VARIABLES=INV_OR1 INV_OR2 INV_OR3
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA.

Case Processing Summary
	N	%
Cases	Valid	300	100.0
Excluded^a	0	.0
Total	300	100.0
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
Cronbach's Alpha	N of Items
.912	3

RELIABILITY
  /VARIABLES=TMP_OR1 TMP_OR2 TMP_OR3R TMP_OR4R
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA.

Case Processing Summary
	N	%
Cases	Valid	300	100.0
Excluded^a	0	.0
Total	300	100.0
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
Cronbach's Alpha	N of Items
.379	4

RELIABILITY
  /VARIABLES=TCH_FM1 TCH_FM2 TCH_FM3
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA.

Case Processing Summary
	N	%
Cases	Valid	300	100.0
Excluded^a	0	.0
Total	300	100.0
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
Cronbach's Alpha	N of Items
.874	3

RELIABILITY
  /VARIABLES=LUX_AT1 LUX_AT2 LUX_AT3 LUX_AT4 LUX_AT5
  /SCALE('ALL VARIABLES') ALL
  /MODEL=ALPHA.

Case Processing Summary
	N	%
Cases	Valid	300	100.0
Excluded^a	0	.0
Total	300	100.0
a. Listwise deletion based on all variables in the procedure.

Reliability Statistics
Cronbach's Alpha	N of Items
.909	5

T-TEST GROUPS=BLOCKCH(0 1)
  /MISSING=ANALYSIS
  /VARIABLES=WTP_PAY VERIMP WTPOVRL INVORIE TMPORIE LUXATT TCHFAM
  /ES DISPLAY(TRUE)
  /CRITERIA=CI(.95).

Group Statistics
Blockchain Verification (0=Traditional, 1=Blockchain)	N	Mean	Std. Deviation	Std. Error Mean
Willingness to Pay (1-7)	0	153	4.1176	1.65012	.13340
Willingness to Pay (1-7)	1	146	4.0342	1.66677	.13794
VERIMP	0	153	3.1438	1.23234	.09963
VERIMP	1	146	3.4315	1.16801	.09667
Overall Willingness to Pay (Mean)	0	153	4.4902	1.46726	.11862
Overall Willingness to Pay (Mean)	1	146	4.5685	1.41863	.11741
Investment Orientation (Mean)	0	153	4.1089	1.39382	.11268
Investment Orientation (Mean)	1	146	4.6598	1.44130	.11928
Temporal Orientation (Mean w/items 3-4 reversed)	0	153	4.5033	.89313	.07221
Temporal Orientation (Mean w/items 3-4 reversed)	1	146	4.4623	.86221	.07136
LUXATT	0	153	3.0876	1.40016	.11320
LUXATT	1	146	3.4055	1.52206	.12597
TCHFAM	0	153	4.3529	1.43180	.11575
TCHFAM	1	146	4.2352	1.52686	.12636

Independent Samples Test
		Levene's Test for Equality of Variances		t-test for Equality of Means
		F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
		F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	Lower	Upper
Willingness to Pay (1-7)	Equal variances assumed	.045	.833	.435	297	.664	.08340	.19185	-.29416	.46096
Willingness to Pay (1-7)	Equal variances not assumed			.435	296.037	.664	.08340	.19190	-.29426	.46106
VERIMP	Equal variances assumed	.223	.637	-2.070	297	.039	-.28772	.13899	-.56125	-.01418
VERIMP	Equal variances not assumed			-2.073	296.987	.039	-.28772	.13882	-.56090	-.01453
Overall Willingness to Pay (Mean)	Equal variances assumed	.077	.782	-.469	297	.640	-.07830	.16703	-.40701	.25042
Overall Willingness to Pay (Mean)	Equal variances not assumed			-.469	296.948	.639	-.07830	.16690	-.40675	.25016
Investment Orientation (Mean)	Equal variances assumed	.003	.959	-3.360	297	.001	-.55088	.16396	-.87356	-.22821
Investment Orientation (Mean)	Equal variances not assumed			-3.357	295.090	.001	-.55088	.16409	-.87382	-.22795
Temporal Orientation (Mean w/items 3-4 reversed)	Equal variances assumed	.267	.606	.403	297	.687	.04094	.10160	-.15901	.24089
Temporal Orientation (Mean w/items 3-4 reversed)	Equal variances not assumed			.403	296.959	.687	.04094	.10152	-.15884	.24072
LUXATT	Equal variances assumed	2.037	.155	-1.881	297	.061	-.31790	.16902	-.65053	.01474
LUXATT	Equal variances not assumed			-1.877	292.057	.061	-.31790	.16935	-.65121	.01541
TCHFAM	Equal variances assumed	1.308	.254	.688	297	.492	.11778	.17111	-.21896	.45452
TCHFAM	Equal variances not assumed			.687	293.381	.492	.11778	.17137	-.21948	.45505

Independent Samples Effect Sizes
		Standardizer^a	Point Estimate	95% Confidence Interval
		Standardizer^a	Point Estimate	Lower	Upper
Willingness to Pay (1-7)	Cohen's d	1.65827	.050	-.177	.277
	Hedges' correction	1.66248	.050	-.176	.276
	Glass's delta	1.66677	.050	-.177	.277
VERIMP	Cohen's d	1.20136	-.239	-.467	-.012
	Hedges' correction	1.20441	-.239	-.466	-.012
	Glass's delta	1.16801	-.246	-.474	-.017
Overall Willingness to Pay (Mean)	Cohen's d	1.44373	-.054	-.281	.173
	Hedges' correction	1.44738	-.054	-.280	.172
	Glass's delta	1.41863	-.055	-.282	.172
Investment Orientation (Mean)	Cohen's d	1.41720	-.389	-.617	-.159
	Hedges' correction	1.42079	-.388	-.616	-.159
	Glass's delta	1.44130	-.382	-.613	-.151
Temporal Orientation (Mean w/items 3-4 reversed)	Cohen's d	.87817	.047	-.180	.273
	Hedges' correction	.88040	.047	-.180	.273
	Glass's delta	.86221	.047	-.179	.274
LUXATT	Cohen's d	1.46094	-.218	-.445	.010
	Hedges' correction	1.46464	-.217	-.444	.010
	Glass's delta	1.52206	-.209	-.437	.020
TCHFAM	Cohen's d	1.47897	.080	-.147	.306
	Hedges' correction	1.48272	.079	-.147	.306
	Glass's delta	1.52686	.077	-.150	.304
a. The denominator used in estimating the effect sizes. Cohen's d uses the pooled standard deviation. Hedges' correction uses the pooled standard deviation, plus a correction factor. Glass's delta uses the sample standard deviation of the control group.

ONEWAY WTP_PAY VERIMP WTPOVRL INVORIE TMPORIE TCHFAM LUXATT BY BLOCKCH
  /STATISTICS DESCRIPTIVES
  /MISSING ANALYSIS
  /CRITERIA=CILEVEL(0.95).

Descriptives
		N	Mean	Std. Deviation	Std. Error	95% Confidence Interval for Mean		Minimum	Maximum
		N	Mean	Std. Deviation	Std. Error	Lower Bound	Upper Bound	Minimum	Maximum
Willingness to Pay (1-7)	0	153	4.1176	1.65012	.13340	3.8541	4.3812	1.00	7.00
	1	146	4.0342	1.66677	.13794	3.7616	4.3069	1.00	7.00
	Total	299	4.0769	1.65601	.09577	3.8885	4.2654	1.00	7.00
VERIMP	0	153	3.1438	1.23234	.09963	2.9470	3.3406	1.00	5.00
	1	146	3.4315	1.16801	.09667	3.2405	3.6226	1.00	5.00
	Total	299	3.2843	1.20797	.06986	3.1468	3.4218	1.00	5.00
Overall Willingness to Pay (Mean)	0	153	4.4902	1.46726	.11862	4.2558	4.7246	1.00	7.00
	1	146	4.5685	1.41863	.11741	4.3364	4.8005	1.00	7.00
	Total	299	4.5284	1.44183	.08338	4.3643	4.6925	1.00	7.00
Investment Orientation (Mean)	0	153	4.1089	1.39382	.11268	3.8863	4.3316	1.00	7.00
	1	146	4.6598	1.44130	.11928	4.4241	4.8956	1.00	7.00
	Total	299	4.3779	1.44146	.08336	4.2139	4.5420	1.00	7.00
Temporal Orientation (Mean w/items 3-4 reversed)	0	153	4.5033	.89313	.07221	4.3606	4.6459	2.25	6.75
	1	146	4.4623	.86221	.07136	4.3213	4.6034	1.75	6.25
	Total	299	4.4833	.87693	.05071	4.3835	4.5831	1.75	6.75
TCHFAM	0	153	4.3529	1.43180	.11575	4.1242	4.5816	1.00	7.00
	1	146	4.2352	1.52686	.12636	3.9854	4.4849	1.00	7.00
	Total	299	4.2954	1.47767	.08546	4.1273	4.4636	1.00	7.00
LUXATT	0	153	3.0876	1.40016	.11320	2.8639	3.3112	1.00	7.00
	1	146	3.4055	1.52206	.12597	3.1565	3.6544	1.00	7.00
	Total	299	3.2428	1.46715	.08485	3.0758	3.4098	1.00	7.00

ANOVA
		Sum of Squares	df	Mean Square	F	Sig.
Willingness to Pay (1-7)	Between Groups	.520	1	.520	.189	.664
	Within Groups	816.711	297	2.750
	Total	817.231	298
VERIMP	Between Groups	6.184	1	6.184	4.285	.039
	Within Groups	428.652	297	1.443
	Total	434.836	298
Overall Willingness to Pay (Mean)	Between Groups	.458	1	.458	.220	.640
	Within Groups	619.050	297	2.084
	Total	619.508	298
Investment Orientation (Mean)	Between Groups	22.672	1	22.672	11.288	.001
	Within Groups	596.511	297	2.008
	Total	619.183	298
Temporal Orientation (Mean w/items 3-4 reversed)	Between Groups	.125	1	.125	.162	.687
	Within Groups	229.041	297	.771
	Total	229.166	298
TCHFAM	Between Groups	1.036	1	1.036	.474	.492
	Within Groups	649.645	297	2.187
	Total	650.682	298
LUXATT	Between Groups	7.550	1	7.550	3.537	.061
	Within Groups	633.902	297	2.134
	Total	641.452	298

Run MATRIX procedure:

***************** PROCESS Procedure for SPSS Version 4.2 *****************

          Written by Andrew F. Hayes, Ph.D.       www.afhayes.com

    Documentation available in Hayes (2022). www.guilford.com/p/hayes3

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

Model  : 1

    Y  : WTP_PAY

    X  : BLOCKCH

    W  : TMPORIE

Sample

Size:  299

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

OUTCOME VARIABLE:

WTP_PAY

Model Summary

          R       R-sq        MSE          F        df1        df2          p

      .2211      .0489     2.6349     5.0531     3.0000   295.0000      .0020

Model

              coeff         se          t          p       LLCI       ULCI

constant     4.9184      .6767     7.2682      .0000     3.5866     6.2501

BLOCKCH     -3.4482      .9812    -3.5144      .0005    -5.3792    -1.5172

TMPORIE      -.1778      .1474    -1.2062      .2287     -.4679      .1123

Int_1         .7524      .2149     3.5015      .0005      .3295     1.1753

Product terms key:

Int_1    :        BLOCKCH  x        TMPORIE

Test(s) of highest order unconditional interaction(s):

       R2-chng          F        df1        df2          p

X*W      .0395    12.2604     1.0000   295.0000      .0005

----------

    Focal predict: BLOCKCH  (X)

          Mod var: TMPORIE  (W)

Conditional effects of the focal predictor at values of the moderator(s):

    TMPORIE     Effect         se          t          p       LLCI       ULCI

     3.6063     -.7347      .2658    -2.7640      .0061    -1.2579     -.2116

     4.4833     -.0749      .1879     -.3988      .6903     -.4446      .2948

     5.3602      .5849      .2663     2.1961      .0289      .0607     1.1091

Moderator value(s) defining Johnson-Neyman significance region(s):

      Value    % below    % above

     4.0297    36.4548    63.5452

     5.2295    74.9164    25.0836

Conditional effect of focal predictor at values of the moderator:

    TMPORIE     Effect         se          t          p       LLCI       ULCI

     1.7500    -2.1315      .6163    -3.4585      .0006    -3.3444     -.9186

     2.0132    -1.9335      .5627    -3.4360      .0007    -3.0409     -.8260

     2.2763    -1.7355      .5098    -3.4045      .0008    -2.7387     -.7322

     2.5395    -1.5375      .4577    -3.3594      .0009    -2.4382     -.6368

     2.8026    -1.3395      .4068    -3.2930      .0011    -2.1400     -.5389

     3.0658    -1.1415      .3576    -3.1924      .0016    -1.8451     -.4378

     3.3289     -.9435      .3109    -3.0349      .0026    -1.5552     -.3317

     3.5921     -.7454      .2680    -2.7816      .0058    -1.2729     -.2180

     3.8553     -.5474      .2311    -2.3690      .0185    -1.0022     -.0927

     4.0297     -.4162      .2115    -1.9680      .0500     -.8323      .0000

     4.1184     -.3494      .2034    -1.7179      .0869     -.7498      .0509

     4.3816     -.1514      .1891     -.8009      .4238     -.5235      .2207

     4.6447      .0466      .1911      .2437      .8076     -.3295      .4226

     4.9079      .2446      .2090     1.1702      .2429     -.1667      .6559

     5.1711      .4426      .2392     1.8499      .0653     -.0283      .9134

     5.2295      .4865      .2472     1.9680      .0500      .0000      .9730

     5.4342      .6406      .2778     2.3056      .0218      .0938     1.1874

     5.6974      .8386      .3218     2.6061      .0096      .2053     1.4718

     5.9605     1.0366      .3692     2.8079      .0053      .3101     1.7631

     6.2237     1.2346      .4188     2.9477      .0035      .4103     2.0589

     6.4868     1.4326      .4701     3.0477      .0025      .5075     2.3577

     6.7500     1.6306      .5224     3.1214      .0020      .6025     2.6587

Data for visualizing the conditional effect of the focal predictor:

Paste text below into a SPSS syntax window and execute to produce plot.

DATA LIST FREE/

   BLOCKCH    TMPORIE    WTP_PAY    .

BEGIN DATA.

      .0000     3.6063     4.2771

     1.0000     3.6063     3.5424

      .0000     4.4833     4.1212

     1.0000     4.4833     4.0463

      .0000     5.3602     3.9653

     1.0000     5.3602     4.5502

END DATA.

GRAPH/SCATTERPLOT=

TMPORIE  WITH     WTP_PAY  BY       BLOCKCH  .

*********************** ANALYSIS NOTES AND ERRORS ************************

Level of confidence for all confidence intervals in output:

  95.0000

W values in conditional tables are the mean and +/- SD from the mean.

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

Run MATRIX procedure:

***************** PROCESS Procedure for SPSS Version 4.2 *****************

          Written by Andrew F. Hayes, Ph.D.       www.afhayes.com

    Documentation available in Hayes (2022). www.guilford.com/p/hayes3

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

Model  : 14

    Y  : WTP_PAY

    X  : BLOCKCH

    M  : INVORIE

    W  : TMPORIE

Sample

Size:  299

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

OUTCOME VARIABLE:

INVORIE

Model Summary

          R       R-sq        MSE          F        df1        df2          p

      .1914      .0366     2.0085    11.2884     1.0000   297.0000      .0009

Model

              coeff         se          t          p       LLCI       ULCI

constant     4.1089      .1146    35.8628      .0000     3.8835     4.3344

BLOCKCH       .5509      .1640     3.3598      .0009      .2282      .8736

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

OUTCOME VARIABLE:

WTP_PAY

Model Summary

          R       R-sq        MSE          F        df1        df2          p

      .2834      .0803     2.5565     6.4167     4.0000   294.0000      .0001

Model

              coeff         se          t          p       LLCI       ULCI

constant     4.5971     1.4278     3.2197      .0014     1.7871     7.4072

BLOCKCH      -.2151      .1889    -1.1387      .2558     -.5869      .1567

INVORIE      -.2736      .3179     -.8609      .3900     -.8992      .3519

TMPORIE      -.3761      .3141    -1.1975      .2321     -.9943      .2420

Int_1         .1255      .0694     1.8078      .0717     -.0111      .2622

Product terms key:

Int_1    :        INVORIE  x        TMPORIE

Test(s) of highest order unconditional interaction(s):

       R2-chng          F        df1        df2          p

M*W      .0102     3.2680     1.0000   294.0000      .0717

----------

    Focal predict: INVORIE  (M)

          Mod var: TMPORIE  (W)

Conditional effects of the focal predictor at values of the moderator(s):

    TMPORIE     Effect         se          t          p       LLCI       ULCI

     3.6063      .1791      .0892     2.0068      .0457      .0035      .3547

     4.4833      .2892      .0655     4.4140      .0000      .1602      .4181

     5.3602      .3993      .0896     4.4536      .0000      .2228      .5757

Moderator value(s) defining Johnson-Neyman significance region(s):

      Value    % below    % above

     3.5905    14.7157    85.2843

Conditional effect of focal predictor at values of the moderator:

    TMPORIE     Effect         se          t          p       LLCI       ULCI

     1.7500     -.0540      .2005     -.2691      .7881     -.4486      .3407

     2.0000     -.0226      .1842     -.1225      .9026     -.3851      .3399

     2.2500      .0088      .1681      .0525      .9582     -.3220      .3396

     2.5000      .0402      .1522      .2641      .7919     -.2594      .3398

     2.7500      .0716      .1368      .5234      .6011     -.1976      .3408

     3.0000      .1030      .1218      .8453      .3987     -.1368      .3427

     3.2500      .1344      .1076     1.2488      .2127     -.0774      .3461

     3.5000      .1657      .0944     1.7555      .0802     -.0201      .3515

     3.5905      .1771      .0900     1.9681      .0500      .0000      .3542

     3.7500      .1971      .0828     2.3809      .0179      .0342      .3601

     4.0000      .2285      .0735     3.1101      .0021      .0839      .3731

     4.2500      .2599      .0674     3.8551      .0001      .1272      .3926

     4.5000      .2913      .0655     4.4450      .0000      .1623      .4202

     4.7500      .3227      .0682     4.7337      .0000      .1885      .4568

     5.0000      .3540      .0748     4.7307      .0000      .2068      .5013

     5.2500      .3854      .0846     4.5554      .0000      .2189      .5520

     5.5000      .4168      .0965     4.3177      .0000      .2268      .6068

     5.7500      .4482      .1099     4.0775      .0001      .2319      .6645

     6.0000      .4796      .1243     3.8585      .0001      .2350      .7242

     6.2500      .5110      .1393     3.6669      .0003      .2367      .7852

     6.5000      .5424      .1549     3.5016      .0005      .2375      .8472

     6.7500      .5737      .1708     3.3596      .0009      .2376      .9098

Data for visualizing the conditional effect of the focal predictor:

Paste text below into a SPSS syntax window and execute to produce plot.

DATA LIST FREE/

   INVORIE    TMPORIE    WTP_PAY    .

BEGIN DATA.

     2.9365     3.6063     3.6615

     4.3779     3.6063     3.9196

     5.8194     3.6063     4.1778

     2.9365     4.4833     3.6549

     4.3779     4.4833     4.0717

     5.8194     4.4833     4.4886

     2.9365     5.3602     3.6483

     4.3779     5.3602     4.2238

     5.8194     5.3602     4.7994

END DATA.

GRAPH/SCATTERPLOT=

INVORIE  WITH     WTP_PAY  BY       TMPORIE  .

****************** DIRECT AND INDIRECT EFFECTS OF X ON Y *****************

Direct effect of X on Y

     Effect         se          t          p       LLCI       ULCI

     -.2151      .1889    -1.1387      .2558     -.5869      .1567

Conditional indirect effects of X on Y:

INDIRECT EFFECT:

BLOCKCH     ->    INVORIE     ->    WTP_PAY

    TMPORIE     Effect     BootSE   BootLLCI   BootULCI

     3.6063      .0987      .0639     -.0061      .2420

     4.4833      .1593      .0659      .0482      .3100

     5.3602      .2200      .0898      .0711      .4232

      Index of moderated mediation:

             Index     BootSE   BootLLCI   BootULCI

TMPORIE      .0692      .0475     -.0065      .1798

*********************** ANALYSIS NOTES AND ERRORS ************************

Level of confidence for all confidence intervals in output:

  95.0000

Number of bootstrap samples for percentile bootstrap confidence intervals:

  5000

W values in conditional tables are the mean and +/- SD from the mean.

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