A. VALIDITAS
Validitas untuk mengukur hal yang seharusnya diukur
atau mengukur keTEPATan.
Untuk menguji validitas menggunakan korelasi Product Moment. Analisis per item. Data
bersifat dikotomis, misalnya benar salah, atau ya dan tidak. Misalnya jika
jawaban benar diberi kode 1 dan jika jawaban salah diberi kode 0. Untuk angket
daftar checklist, jika jawaban YA diberi kode 1 dan jika jawaban TIDAK diberi
kode 0.
Uji coba minimal 20 responden. Yang ideal responden
30 orang.
Item yang valid pasti reliable, sebaliknya tidak
setiap item yang reliable belum tentu valid. Yang diakui teruji adalah item
yang valid karena item reliable (reliabilitas) hanyalah yang valid saja. Jika
dalam suatu pengujian ada item yang gugur, maka item perlu dibuang, dan uji
item dilakukan lagi sampai diperoleh item yang semuanya valid.
B. RELIABILITAS
Reliabilitas untuk mengukur keajegan data atau
keTETAPan.
Jika
data berskala seperti SKALA LIKERT diuji menggunakan alfa cronbach.
Jika data berskala diuji dengan alfa cronbach, jika data dikotomis diuji dengan split-half.
C. CARA
MENGANALISIS/MENGUJI VALIDITAS DAN RELIABILITAS UNTUK DATA BERSKALA (misalnya
LIKERT)
1. Buka
SPSS
2. Buka
variable view tuliskan dari item1 hingga ke-N (item1- N)
3. Buka
data view masukkan data
DATA SKALA LIKERT
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 2.0 2.0 5.0 5.0 5.0 5.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 2.0 2.0 5.0 5.0 5.0 5.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 2.0 2.0 5.0 5.0 5.0 5.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 4.0 5.0 4.0 5.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 5.0 5.0 4.0 5.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 2.0 2.0 5.0 5.0 5.0 5.0 5.0
2.0 1.0 1.0 2.0 3.0 3.0 2.0 4.0 2.0 2.0
1.0 2.0 2.0 4.0 4.0 5.0 4.0 5.0 4.0 4.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 2.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 5.0 5.0 4.0 5.0 5.0
2.0 3.0 4.0 3.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 5.0 4.0 5.0 4.0 5.0
2.0 1.0 4.0 4.0 5.0 5.0 5.0 5.0 5.0 5.0
1.0 2.0 2.0 4.0 4.0 5.0 4.0 5.0 5.0 5.0
2.0 3.0 4.0 2.0 3.0 2.0 3.0 3.0 3.0 2.0
1.0 2.0 2.0 4.0 4.0 5.0 5.0 5.0 5.0 5.0
2.0 1.0 4.0 2.0 2.0 4.0 3.0 3.0 4.0 4.0
1.0 2.0 2.0 2.0 2.0 2.0 2.0 1.0 1.0 2.0
2.0 3.0 4.0 3.0 3.0 3.0 3.0 3.0 3.0 3.0
1.0 2.0 2.0 4.0 4.0 5.0 5.0 5.0 4.0 4.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 5.0 4.0 4.0 4.0 5.0
2.0 3.0 4.0 4.0 3.0 3.0 3.0 3.0 3.0 4.0
1.0 2.0 2.0 4.0 4.0 4.0 4.0 4.0 4.0 4.0
4. Analyze
5. scale
6. realibility
analysis
7. pindahkan
item ke kanan
8. model
alpha
9. statistic
descriptive for scale if item deleted
10.
klik continue
11.
Ok
RELIABILITY
/VARIABLES=item1 item2
item3 item4 item5 item6 item7 item8 item9 item10
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
|
Case Processing Summary
|
|||
|
|
|
N
|
%
|
|
Cases
|
Valid
|
30
|
100.0
|
|
Excludeda
|
0
|
.0
|
|
|
Total
|
30
|
100.0
|
|
|
a. Listwise deletion based on all variables in the
procedure.
|
|||
|
Reliability Statistics
|
|
|
Cronbach's Alpha
|
N of Items
|
|
.672
|
10
|
|
Item-Total Statistics
|
||||
|
|
Scale Mean if Item Deleted
|
Scale Variance if Item Deleted
|
Corrected Item-Total Correlation
|
Cronbach's Alpha if Item Deleted
|
|
item1
|
31.17
|
23.454
|
-.427
|
.728
|
|
item2
|
30.37
|
22.792
|
-.258
|
.725
|
|
item3
|
29.77
|
23.702
|
-.311
|
.773
|
|
item4
|
29.27
|
17.926
|
.381
|
.640
|
|
item5
|
29.47
|
17.844
|
.458
|
.628
|
|
item6
|
28.77
|
15.289
|
.625
|
.580
|
|
item7
|
28.90
|
15.197
|
.688
|
.568
|
|
item8
|
28.90
|
15.748
|
.553
|
.598
|
|
item9
|
28.90
|
14.438
|
.739
|
.550
|
|
item10
|
28.50
|
15.017
|
.814
|
.548
|
D. PENAFSIRAN
1. Lihat
nilai reliabilitas alpha 0.672. Hasil uji intrumen yang positif dan > 0.6
dikatakan reliable. Hasil uji nilai alpha 0.672. Jadi instrument tersebut
reliable.
2. Hasil
item < 0.672 item yang valid, sebaliknya setiap item > 0.672 gugur,.
3. Item
1, 2, 3 di atas gugur.
4. Item
yang valid 4-10.
Item yang tidak valid sebaiknya direvisi atau
diganti.
E. CARA
MENGANALISIS/MENGUJI VALIDITAS DAN RELIABILITAS UNTUK DATA DIKOTOMIS
1. Buka
SPSS
2. Buka
variable view tuliskan dari item1 hingga ke-N (item1- N)
3. Buka
data view masukkan data
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 1.0 1.0
0.0 0.0 0.0 0.0 1.0 1.0 1.0 1.0 1.0 0.0
1.0 1.0 1.0 1.0 0.0 1.0 1.0 1.0 1.0 1.0
12.
Analyze
13.
scale
14.
realibility
analysis
15.
pindahkan item ke
kanan
16.
model split-half
17.
statistic
descriptive for scale if item deleted
18.
klik continue
19.
Ok
Reliability
Scale: ALL VARIABLES
|
Case Processing Summary
|
|||
|
|
|
N
|
%
|
|
Cases
|
Valid
|
30
|
100.0
|
|
Excludeda
|
0
|
.0
|
|
|
Total
|
30
|
100.0
|
|
|
a. Listwise deletion based on all variables in the
procedure.
|
|||
|
Reliability Statistics
|
|||
|
Cronbach's Alpha
|
Part 1
|
Value
|
.167
|
|
N of Items
|
5.000a
|
||
|
Part 2
|
Value
|
-.357b
|
|
|
N of Items
|
5.000c
|
||
|
Total N of Items
|
10.000
|
||
|
Correlation Between Forms
|
.488
|
||
|
Spearman-Brown Coefficient
|
Equal Length
|
.656
|
|
|
Unequal Length
|
.656
|
||
|
Guttman Split-Half Coefficient
|
.625
|
||
|
a. The items are: item1, item2,
item3, item4, item5.
|
|
||
|
b. The value is negative due to a
negative average covariance among items. This violates reliability model
assumptions. You may want to check item codings.
|
|||
|
c. The items are: item6, item7, item8, item9, item10.
|
|
||
|
Item-Total Statistics
|
||||
|
|
Scale Mean if Item Deleted
|
Scale Variance if Item Deleted
|
Corrected Item-Total Correlation
|
Cronbach's Alpha if Item Deleted
|
|
item1
|
5.20
|
2.234
|
.111
|
.333
|
|
item2
|
5.60
|
1.490
|
1.000
|
-.125a
|
|
item3
|
5.20
|
2.234
|
.111
|
.333
|
|
item4
|
5.60
|
1.490
|
1.000
|
-.125a
|
|
item5
|
5.40
|
3.559
|
-.616
|
.628
|
|
item6
|
5.20
|
2.234
|
.111
|
.333
|
|
item7
|
5.20
|
2.234
|
.111
|
.333
|
|
item8
|
4.80
|
2.648
|
.000
|
.352
|
|
item9
|
4.80
|
2.648
|
.000
|
.352
|
|
item10
|
5.20
|
2.234
|
.111
|
.333
|
|
a. The value is negative due to a negative average
covariance among items. This violates reliability model assumptions. You may
want to check item codings.
|
||||
F. PENAFSIRAN
1. Lihat
nilai reliabilitas alpha 0.167. Hasil uji intrumen yang positif dan > 0.6
dikatakan reliable. Hasil uji nilai alpha 0.167. Jadi instrument tersebut
tidak reliable.
2. Hasil
item < 0.167 item yang valid. Sebaliknya setiap item > 0.167 gugur.
3. Item
semuanya gugur, tidak ada item yang valid.
Item yang tidak valid sebaiknya direvisi atau
diganti.
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