i. Aspek Kunjungan Ibu NIfas
Correlati ons
1 ,459
,350 ,546
,281 ,651
,042 ,130
,013 ,230
,002 20
20 20
20 20
20 ,459
1 ,764
,140 ,357
,782 ,042
,000 ,556
,122 ,000
20 20
20 20
20 20
,350 ,764
1 ,031
,356 ,746
,130 ,000
,898 ,123
,000 20
20 20
20 20
20 ,546
,140 ,031
1 ,514
,581 ,013
,556 ,898
,020 ,007
20 20
20 20
20 20
,281 ,357
,356 ,514
1 ,757
,230 ,122
,123 ,020
,000 20
20 20
20 20
20 ,651
,782 ,746
,581 ,757
1 ,002
,000 ,000
,007 ,000
20 20
20 20
20 20
Pearson Correlation Sig. 2-tailed
N Pearson Correlation
Sig. 2-tailed N
Pearson Correlation Sig. 2-tailed
N Pearson Correlation
Sig. 2-tailed N
Pearson Correlation Sig. 2-tailed
N Pearson Correlation
Sig. 2-tailed N
p.51 p.52
p.53 p.54
p.55 Total
p.51 p.52
p.53 p.54
p.55 Total
Correlation is signif icant at the 0.05 lev el 2-tailed. .
Correlation is signif icant at the 0.01 lev el 2-tailed. .
2. Uji Reabilitas
a. Aspek Pengetahuan
Case Processing Summary
20 100,0
,0 20
100,0 Valid
Excluded
a
Total Cases
N
Listwise deletion based on all v ariables in the procedure.
a.
Reliabi lity Statistics
,730 ,756
7 Cronbachs
Alpha Cronbachs
Alpha Based on St andardized
Items N of Items
Item Statistics
,30 ,470
20 ,30
,470 20
,70 ,470
20 ,75
,444 20
,45 ,510
20 ,70
,470 20
3,20 1,642
20 p.4
p.5 p.6
p.7 p.8
p.9 Total
Mean St d. Dev iation
N
Summary I tem Statistics
,914 ,300
3,200 2,900
10,667 1,052
7 Item Means
Mean Minimum
Maximum Range
Maximum Minimum
Variance N of Items
The cov ariance matrix is calculat ed and used in t he analy sis.
b. Aspek Sikap
Case Processing Summary
20 100,0
,0 20
100,0 Valid
Excluded
a
Total Cases
N
Listwise deletion based on all v ariables in the procedure.
a.
Reliabi lity Statistics
,757 ,860
9 Cronbachs
Alpha Cronbachs
Alpha Based on St andardized
Items N of Items
Item Statistics
2,80 ,523
20 2,95
,394 20
3,05 ,394
20 3,00
,562 20
2,85 ,489
20 2,90
,308 20
2,90 ,308
20 2,80
,410 20
23,25 2,197
20 p.10
p.11 p.12
p.13 p.14
p.15 p.16
p.17 Total
Mean St d. Dev iation
N
Summary I tem Statistics
5,167 2,800
23,250 20,450
8,304 45,993
9 Item Means
Mean Minimum
Maximum Range
Maximum Minimum
Variance N of Items
The cov ariance matrix is calculat ed and used in t he analy sis.
c. Aspek Kepercayaan