EKSPLORASI FAKTOR-FAKTOR YANG MEMOTIVASI
KONSUMEN REMAJA DALAM BERKUNJUNG KE MALL
(Studi pada konsumen remaja yang datang berkunjung ke
Central Plaza Bandar Lampung)
Oleh
Ines Yuanita Remiles
Skripsi
Sebagai salah satu syarat untuk mencapai gelar
SARJANA ADMINISTRASI BISNIS
Pada
Jurusan Ilmu Administrasi Bisnis
Fakultas Ilmu Sosial dan Ilmu Politik
FAKULTAS ILMU SOSIAL DAN ILMU POLITIK
UNIVERSITAS LAMPUNG
ABSTRAK
EKSPLORASI FAKTOR-FAKTOR YANG MEMOTIVASI
KONSUMEN REMAJA DALAM BERKUNJUNG KE MALL
Oleh
INES YUANITA REMILES
Kemajuan yang semakin pesat karena kehadiran Mall sangat berdampak pada remaja.
Remaja didapati menjadi pengunjung Mall terbesar dibandingkan dengan kelompok
usia lain. Tujuan penelitian ini yaitu untuk mengetahui faktor-faktor yang memotivasi
konsumen remaja dalam berkunjung ke Mall yang berfokus pada Central Plaza
Bandar Lampung. Penelitian ini merupakan penelitian kuantitatif dengan tipe
penelitian deskriptif eksploratif, kemudian pengolahan data dalam penelitian ini
adalah dengan menggunakan analisis faktor.
Hasil penelitian menyimpulkan bahwa melalui proses rotasi dengan metode varimax
diperoleh pengelompokan faktor-faktor hasil rotasi faktor sebanyak 3 faktor. Tiga
faktor utama yang memotivasi konsumen remaja dalam berkunjung ke mall yaitu
faktor variabel pengalihan, faktor variabel pengalaman sosial di luar rumah dan faktor
variabel sosial dan faktor variabel status dan otoritas.
Saran yang dapat diberikan yaitu hendaknya pihak Mall mampu menarik konsumen
remaja tidak hanya berkunjung untuk melihat-lihat produk atau jasa yang mereka
tampilkan namun mampu memotivasi konsumen remaja berbelanja dengan
menciptakan promosi yang kreatif dan inovatif misalnya memberikan diskon-diskon
khusus terhadap produk-produk yang diminati oleh remaja.
DAFTAR ISI
Halaman
ABSTRAK
ABSTRACT
HALAMAN PERSETUJUAN
HALAMAN PENGESAHAN
DAFTAR RIWAYAT HIDUP
MOTTO
PERSEMBAHAN
SANWACANA
DAFTAR ISI
DAFTAR TABEL
DAFTAR GAMBAR
DAFTAR LAMPIRAN
I.
PENDAHULUAN
A.
Latar Belakang ...
1
B.
Rumusan Masalah ...
6
C.
Tujuan Penelitian ...
6
D.
Kegunaan Penelitian...
7
II.
TINJAUAN PUSTAKA
A.
Konsep Perilaku Konsumen ...
8
B.
Konsep Motivasi ...
19
C.
Faktor-faktor yang Mempengaruhi Motivasi ...
22
D.
Definisi Remaja ...
23
E.
Penelitian Terdahulu ...
27
F.
Kerangka Pikir ...
28
III. METODE RISET
A.
Tipe Penelitian ...
31
B.
Lokasi Penelitian ...
31
C.
Populasi dan Sampel ...
32
D.
Definisi Konseptuan dan Definisi Operasional ...
33
E.
Teknik Pengujian Instrumen ...
36
F.
Sumber Data ...
37
G.
Teknik Pengumpulan Data ...
38
IV. HASIL PENELITIAN DAN PEMBAHASAN
A.
Karakteristik Responden ...
42
B.
Uji Validitas dan Reliabilitas Instrumen ...
46
C.
Analisis Deskriptif ...
48
D.
Analisis Faktor ...
58
E.
Pembahasan ...
68
V.
SIMPULAN DAN SARAN
A.
Simpulan ...
70
B.
Saran ...
71
Lampiran 1 Kuesioner
Daftar Pertanyaan Responden
Eksplorasi Faktor-Faktor Yang Memotivasi
Konsumen Remaja Dalam Berkunjung Ke Mall
(Studi pada konsumen yang berkunjung ke Central Plaza Bandar Lampung)
Identitas Responden
Nama
:
Usia
:
Jenis Kelamin
:
Uang Saku
:
Status tempat tinggal
:
Kendaraan yang digunakan :
Status Pekerjaan
:
Kuesioner ini bertujuan untuk menguji faktor-faktor yang memotivasi konsumen remaja dalam
berkunjung ke Mall. Mall yang digunakan dalam penelitian ini adalah Central Plaza Bandar
Lampung. Penilaian dilakukan dengan menggunakan skala Likert dengan memberi tanda
centang (
√
) pada salah satu kolom angka 1-5, dengan ketentuan sebagai berikut:
1.
5 dengan jawaban sangat setuju
2.
4 dengan jawaban setuju
3.
3 dengan jawaban netral atau tidak ada jawaban yang benar atau salah
4.
2 dengan jawaban tidak setuju
5.
1 dengan jawaban sangat tidak setuju
Sangat Tidak
Setuju (STS)
Tidak
Setuju (TS)
Netral
(N)
Setuju
(S)
Sangat Setuju
(SS)
1
2
3
4
5
A.
Motif menurut Tauber (1972)
1.
Pengalihan (
Diversion
)
2.
Stim
ulasi
Sens
orik
(
Sen
sory
Stim
ulati
on)
No
Pernyataan
Skala
STS
TS
N
S
SS
7.
Fasilitas Mall menarik perhatian saya
8.
Suasana Mall menyenangkan bagi saya
9.
Saya senang dengan keramaian didalam Mall
10. Semua kebutuhan saya tersedia di Mall
11. Mall adalah tempat yang menarik untuk
No
Pernyataan
Skala
STS
TS
N
S
SS
1.
Pergi ke Mall adalah alasan saya keluar rumah
2.
Saya bersemangat jika pergi ke Mall
3.
Pergi ke Mall adalah cara saya untuk
menghabiskan waktu
4.
Saya pergi ke Mall walau tidak ingin berbelanja
5.
Saya pergi ke Mall kapanpun saya suka
dikunjungi
3.
Kepuasan Diri
(Self Gratification)
No
Pernyataan
Skala
STS
TS
N
S
SS
12. Saya pergi ke Mall untuk memanjakan diri
13. Saya dapat menemukan berbagai barang yang
saya cari dengan pergi ke Mall
14. Tidak ada paksaan untuk membeli didalam Mall
15. Untuk berbelanja, saya tidak harus pergi ke Mall
16. Saya sering berbelanja produk atau jasa yang tak
terduga di Mall
17. Mall ini menyediakan fasilitas yang berbeda dari
Mall lainnya (contoh: 21)
4.
Pembelajaran tentang sebuah tren baru
(Learning about new trends)
No
Pernyataan
Skala
STS
TS
N
S
SS
18. Saya dapat mengetahui tren yang sedang
booming
jika ke Mall
19. Saya sering ke Mall untuk melihat produk apa
saja yang dijual
20. Dengan pergi ke Mall saya merasa modern
5.
Aktivitas Fisik
(Physical Activity)
No
Pernyataan
Skala
STS
TS
N
S
SS
21. Jika tidak ada kegiatan yang dilakukan saya pergi
ke Mall
22. Pergi ke Mall sama saja dengan melakukan suatu
kegiatan
23. Pergi ke Mall masuk ke daftar kebutuhan saya
sehari-hari
6.
Pengalaman sosial diluar rumah
(Social experiences outside the home)
No
Pernyataan
Skala
STS
TS
N
S
SS
24. Saya senang bertemu orang lain diluar rumah
25. Pergi ke Mall membuat saya merasa tidak
kesepian
26. Berinteraksi dengan orang lain di dalam Mall
adalah kegiatan yang menyenangkan
7.
Komunikasi dengan orang lain yang memiliki minat yang sama
(Communication with
others having similar interest)
No
Pernyataan
Skala
27. Saya menikmati berbicara dengan pembeli lain di
dalam Mall
28. Saya mendapatkan informasi tentang produk jika
pergi ke Mall
8.
Daya tarik rekan kelompok
(Peer group attraction)
No
Pernyataan
Skala
STS
TS
N
S
SS
29. Saya biasanya pergi ke Mall dengan teman-teman
30. Pergi ke Mall adalah cara yang baik untuk
menghabiskan waktu dengan teman
31. Mall adalah tempat menarik untuk
hangout
dengan teman-teman
9.
Status dan Otoritas
(Status and Authority)
No
Pernyataan
Skala
STS
TS
N
S
SS
32. Saya merasa dihormati jika dilayani oleh
wiraniaga
33. Saya lebih suka wiraniaga menghampiri ketika
saya butuhkan saja
10.
Tambahan alasan eksternal
No
Pernyataan
Skala
STS
TS
N
S
SS
34. Tempat parkir di Mall tersedia luas
35. Mall berdekatan dengan rumah saya
36. Lingkungan Mall menarik perhatian
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 P4 P3 P3 P4 P5 P6 S4 S3 S3 S4 S5 K4 K3 K3 K4 K5 K6 T4 T3 T3 A4 A3 A3 D4 D3 D3 C4 C3 PGA4 PGA3 PGA3 SA4 SA3 TA4 TA3 TA3
1 4 3 2 3 5 3 3 3 2 3 4 3 3 5 4 3 4 4 4 1 3 2 2 3 1 3 2 2 3 2 3 2 4 3 1 3 105
2 4 3 2 3 4 3 3 3 2 2 2 2 2 4 4 4 5 4 2 2 3 2 2 3 2 2 2 3 4 3 3 3 4 2 2 3 103
3 4 4 4 4 4 2 3 4 3 2 3 2 2 3 4 4 4 4 3 2 3 2 3 4 4 3 2 3 4 2 3 3 2 3 4 4 114
4 2 3 2 4 4 4 4 4 3 2 4 4 2 4 5 4 4 3 4 1 2 2 2 3 4 4 3 4 4 4 4 4 4 2 5 4 122
5 3 3 3 3 2 4 3 3 3 2 3 2 3 4 3 4 2 2 4 3 4 4 3 4 3 2 3 2 4 4 3 4 2 3 3 3 110
6 2 2 2 2 3 3 3 4 4 3 4 2 3 4 2 4 3 3 2 1 2 3 1 3 2 3 2 2 2 2 3 4 3 2 1 2 93
7 3 4 4 5 4 5 4 5 4 3 3 5 4 5 4 3 4 3 3 3 3 3 3 4 4 4 4 4 3 4 5 4 4 4 4 5 140
8 4 3 4 4 4 4 4 4 4 3 4 4 4 4 3 4 4 4 4 3 4 4 3 4 4 4 4 4 3 3 4 4 4 3 3 4 135
9 3 2 1 3 3 2 3 3 2 4 3 1 3 3 3 3 3 2 3 1 2 3 2 3 2 3 3 3 2 2 2 3 3 3 3 3 93
10 3 4 2 1 4 2 2 3 3 2 2 3 3 4 4 3 4 3 3 1 2 2 1 4 1 2 3 3 4 3 2 3 4 1 1 1 93
11 2 2 3 3 2 3 3 4 4 3 3 2 3 4 2 4 2 2 2 3 3 2 1 4 3 3 2 4 4 3 2 2 4 2 2 3 100
12 4 4 4 2 4 2 3 2 2 4 3 2 2 4 4 4 4 2 2 2 2 4 2 4 2 2 2 2 3 2 2 2 4 4 2 2 101
13 4 3 3 4 4 4 4 4 3 3 4 4 4 4 3 4 4 3 4 3 4 3 3 4 4 3 2 4 4 4 4 3 3 4 2 4 128
14 3 2 3 3 4 2 3 3 2 3 2 2 3 3 3 3 4 3 3 2 3 3 2 3 2 3 3 3 3 4 4 3 3 3 3 3 104
15 2 2 2 4 3 3 4 4 4 4 4 2 4 4 4 5 3 2 2 2 2 1 1 4 3 3 3 3 3 4 4 4 4 2 4 4 113
16 3 3 4 3 2 3 4 4 3 3 3 3 4 4 3 4 2 4 3 2 2 2 2 4 4 4 3 3 3 3 3 4 4 4 3 3 115
17 3 4 2 3 3 4 4 4 3 4 4 2 4 5 4 3 3 1 4 3 2 3 1 4 3 2 3 2 4 4 3 2 3 3 1 3 110
18 4 4 2 2 2 3 3 3 3 3 3 2 4 4 4 2 2 4 3 3 2 4 2 1 1 1 4 4 4 4 4 4 4 2 2 2 105
19 4 4 3 2 2 3 3 3 3 4 4 3 4 3 4 2 2 4 4 2 2 4 2 2 2 2 4 4 5 5 5 5 5 2 2 2 116
20 2 1 3 2 1 2 3 3 2 4 2 1 3 4 4 2 3 4 3 1 2 2 1 2 1 2 2 4 5 2 3 3 4 4 2 2 91
21 3 3 3 2 4 3 3 3 3 4 3 3 4 5 3 4 4 3 4 3 4 3 2 3 1 2 2 2 3 3 4 3 3 2 3 2 109
22 3 3 4 2 4 2 3 3 2 2 2 2 4 2 3 5 4 2 3 1 3 3 1 4 2 1 1 3 3 3 2 4 4 1 1 2 94
23 2 4 3 4 4 4 4 4 4 3 4 4 3 4 4 3 4 3 2 3 2 3 1 4 3 4 3 2 4 4 3 3 4 3 2 4 119
24 4 3 4 3 3 3 3 3 3 3 3 3 3 4 3 4 3 4 4 3 3 3 2 3 4 3 3 4 4 4 4 3 2 4 1 3 116
25 3 3 3 4 4 4 4 4 4 4 4 4 3 3 3 5 4 3 5 3 3 4 4 5 5 5 4 5 5 4 5 5 5 2 3 4 142
26 2 3 2 4 4 4 4 4 5 2 3 2 2 3 3 2 4 3 2 2 2 3 2 2 3 3 4 3 5 5 4 4 3 3 2 4 112
27 4 3 4 2 4 2 2 2 3 3 3 3 3 2 3 2 4 3 3 3 2 2 2 3 4 3 3 3 4 4 4 2 4 1 2 2 103
28 3 2 3 3 2 3 3 3 3 3 3 3 3 3 4 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 106
29 3 4 4 2 5 3 3 3 2 3 4 5 5 5 4 3 5 3 5 2 3 4 2 4 1 2 3 3 4 3 3 3 3 2 5 2 120
30 2 3 2 3 2 3 3 3 3 3 3 2 3 3 3 3 2 3 2 1 2 2 1 4 2 3 4 4 2 3 2 3 3 3 3 3 96
31 4 3 3 4 4 5 4 4 3 3 5 4 2 5 3 3 4 2 3 2 4 4 2 4 2 3 2 5 4 5 5 4 5 2 2 4 127
32 3 2 4 3 4 4 4 4 2 2 3 4 4 4 4 4 4 2 4 3 2 3 2 2 3 3 3 4 3 3 2 3 3 2 4 3 113
33 4 3 3 4 4 3 3 3 3 3 4 3 4 4 3 5 4 3 4 3 3 4 3 5 4 3 3 4 5 5 5 4 5 3 3 4 133
34 3 3 2 2 4 3 3 4 3 2 4 2 2 4 3 4 4 2 2 2 1 4 1 5 3 3 4 2 4 2 3 2 4 4 4 2 106
35 4 4 4 4 5 5 4 4 2 4 4 4 4 5 4 4 5 2 4 2 4 5 2 5 5 5 4 4 4 2 2 5 5 4 2 4 140
36 2 4 3 2 3 3 3 3 2 2 4 2 2 4 4 4 3 2 2 2 2 4 1 4 4 3 3 4 4 2 2 4 2 2 2 2 101
37 4 4 2 2 2 4 2 4 2 2 4 2 2 4 4 4 2 2 4 2 2 4 2 4 4 4 2 4 4 4 4 2 4 4 2 2 110
38 2 4 3 4 4 2 4 4 3 4 4 2 4 4 4 5 4 3 4 3 3 3 3 4 4 4 2 4 4 4 5 2 5 4 2 4 128
39 4 4 2 5 4 4 2 4 4 2 4 2 4 4 4 4 4 2 3 2 2 3 3 4 4 4 2 4 5 5 5 2 5 4 2 5 127
40 1 3 4 5 5 4 5 4 5 4 4 3 3 5 3 5 5 5 4 3 2 2 2 5 4 5 4 5 5 5 4 4 5 4 2 5 143
TOTAL Nomor
41 2 4 2 4 4 4 2 4 4 4 4 4 4 5 4 5 4 2 2 2 2 4 1 4 2 4 2 4 4 2 4 2 4 4 2 4 119
42 2 5 5 4 4 4 5 4 2 4 5 5 5 4 5 5 4 5 4 2 5 5 1 4 5 4 2 4 5 5 4 4 5 2 4 4 146
43 2 4 4 2 4 4 4 4 4 2 4 2 2 4 4 4 4 2 4 2 2 4 2 4 4 2 2 2 4 4 4 2 4 2 2 2 112
44 2 5 2 3 4 5 4 4 4 4 4 5 4 4 5 4 4 4 2 2 2 2 2 4 4 3 3 4 4 4 4 3 3 4 3 3 127
45 3 3 4 3 4 3 3 3 2 3 3 3 4 4 3 4 4 3 3 3 3 3 3 4 3 3 3 4 4 4 4 4 4 3 2 3 119
46 4 4 3 3 3 2 4 2 2 3 3 2 3 5 4 3 3 2 2 1 3 2 1 4 3 3 2 2 4 4 4 1 4 2 4 3 104
47 4 4 2 3 5 4 4 3 3 5 4 4 5 4 4 5 5 3 4 2 2 3 3 5 3 4 3 4 5 4 3 4 4 2 1 3 130
48 3 5 3 1 4 3 3 4 3 2 4 2 2 4 5 3 4 3 3 2 3 4 2 4 4 2 2 2 3 2 2 1 2 4 2 1 103
49 1 2 1 3 3 2 4 3 2 3 4 1 2 5 4 3 3 1 3 3 1 3 1 5 3 3 2 4 3 2 3 3 4 1 3 3 97
50 2 4 4 2 4 2 4 2 2 2 4 2 4 5 4 4 4 2 4 2 4 4 1 4 2 4 4 4 4 2 4 4 5 4 5 2 120
51 1 4 2 3 1 2 4 3 3 2 3 2 2 5 4 2 3 2 3 3 1 4 1 4 3 1 2 3 4 2 3 4 4 1 3 3 97
52 3 2 2 2 5 1 4 4 2 3 4 3 4 4 4 5 5 1 5 1 1 3 1 4 4 3 2 3 4 2 4 5 5 2 2 2 111
53 4 2 2 2 4 3 2 2 2 4 2 2 2 4 3 2 4 3 4 2 2 2 2 4 2 4 3 4 4 2 2 3 4 4 2 2 101
54 5 5 4 4 4 4 4 4 4 4 5 4 4 4 5 5 4 4 4 2 4 4 2 4 4 4 4 4 5 5 4 4 4 4 2 4 145
55 2 4 3 4 5 2 4 4 4 1 4 4 4 5 4 4 5 2 3 2 4 4 2 5 4 4 4 5 3 2 1 2 5 4 5 4 128
56 1 3 3 3 4 3 4 3 3 2 4 3 3 4 3 5 4 3 4 2 3 3 2 4 2 3 2 4 5 3 4 3 5 2 2 3 114
57 4 3 3 2 5 2 2 3 4 2 3 2 3 5 3 4 5 3 5 3 3 4 3 3 2 4 2 4 4 4 4 3 2 2 4 2 116
58 2 4 2 2 4 4 2 4 4 4 2 4 4 5 4 4 4 2 4 2 4 2 2 5 2 5 4 2 4 2 2 4 4 4 5 2 120
59 2 4 2 2 4 4 4 4 4 2 4 2 4 4 4 4 4 4 4 2 2 4 2 4 2 4 4 4 4 4 4 4 4 4 2 2 122
60 2 3 1 1 3 4 3 3 3 3 4 2 4 4 3 4 3 5 2 1 2 3 1 5 2 3 3 4 4 3 4 3 5 3 1 1 105
61 3 3 4 2 4 3 3 3 2 2 3 2 2 3 3 3 4 3 2 2 2 2 1 4 3 3 3 2 3 3 3 2 3 2 2 2 96
62 3 3 4 2 2 3 4 5 5 3 3 3 4 4 3 3 2 4 3 3 3 2 1 5 3 2 2 2 4 4 4 3 2 2 2 2 109
63 2 2 2 2 5 1 1 1 1 2 4 2 3 4 4 2 5 2 2 1 2 3 1 5 2 3 3 2 4 3 4 5 1 5 2 2 95
64 5 5 4 3 5 3 5 4 2 2 5 3 3 4 5 1 5 4 3 1 4 2 2 2 2 1 1 3 5 3 4 3 3 4 3 3 117
65 1 2 2 4 3 4 4 3 4 4 2 2 4 3 4 2 3 4 2 4 3 4 1 4 4 4 2 5 4 4 4 2 4 3 1 4 114
66 3 3 1 2 4 1 3 3 2 4 3 1 4 4 3 2 4 3 3 1 2 3 1 2 2 3 3 4 5 4 3 1 3 4 1 2 97
67 4 3 2 4 4 3 4 4 4 3 4 4 4 4 3 4 4 4 3 3 2 2 1 4 2 4 4 4 4 3 3 5 5 2 1 4 122
68 3 3 3 3 4 5 3 4 4 5 5 3 5 5 3 5 4 3 4 2 3 4 2 4 4 3 4 4 4 4 4 2 2 4 2 3 129
69 3 3 2 2 2 4 4 3 3 4 2 3 4 4 3 4 2 3 4 4 2 2 2 2 2 2 2 2 3 2 2 2 2 3 1 2 96
70 3 3 2 3 3 1 3 2 1 4 3 2 3 4 3 3 3 2 3 2 3 3 1 3 2 3 3 3 4 3 2 2 3 3 1 3 95
71 2 3 2 3 4 2 3 3 2 4 4 3 4 3 3 3 4 3 3 3 2 4 3 4 3 3 3 4 3 2 2 4 3 3 2 3 109
72 4 5 5 3 3 4 4 4 3 4 4 4 4 4 5 4 3 3 3 3 3 4 3 3 4 3 3 3 4 4 4 4 4 3 2 3 130
73 4 4 4 3 3 3 3 3 3 4 4 4 3 4 4 4 3 4 4 2 3 4 2 3 3 3 3 4 3 4 3 2 2 2 2 3 116
74 3 2 3 2 4 4 4 4 3 4 4 5 5 5 3 4 4 4 4 2 3 4 3 3 4 3 2 3 4 3 3 4 3 2 1 2 120
75 2 4 3 4 4 4 4 3 2 4 4 4 4 4 4 2 4 4 4 3 3 3 3 4 4 2 2 4 4 4 3 4 3 2 1 4 121
76 2 3 1 4 4 4 4 4 2 2 4 2 2 4 3 4 4 4 2 4 4 2 3 4 2 2 4 4 2 4 4 4 4 4 3 4 117
77 3 2 2 3 4 5 3 3 2 1 3 2 1 3 2 2 4 2 2 2 2 1 1 5 3 2 3 3 4 3 5 2 2 5 3 3 98
78 3 3 2 3 3 4 3 3 2 3 2 2 4 4 3 2 3 3 3 3 3 2 1 4 2 3 3 2 4 1 3 4 3 5 3 3 104
79 1 1 1 3 5 3 2 2 3 3 3 4 2 4 4 2 5 3 3 2 2 2 2 4 3 3 3 3 4 4 4 5 5 5 5 3 113
80 1 1 1 3 1 2 2 1 1 2 3 2 2 3 3 3 2 2 2 2 2 3 2 5 3 2 2 3 4 2 3 3 3 4 1 3 84
81 4 3 2 4 5 4 5 4 2 3 5 5 3 2 3 5 5 2 5 3 3 2 4 5 5 5 4 2 5 3 1 2 3 5 1 4 128
82 3 3 3 3 4 3 3 3 3 4 3 3 4 5 3 3 4 4 3 3 3 3 3 5 3 3 3 4 3 3 4 5 5 3 3 3 123
83 2 3 1 2 1 2 3 3 3 2 3 2 2 4 3 3 2 3 3 2 2 2 2 4 3 3 3 3 4 2 2 2 3 2 2 2 90
85
2
3
3
3
4
3
4
3
3
3
3
3
4
5
3
5
4
4
2
3
3
3
2
4
3
3
2
2
3
2
3
3
3
2
1
3
109
86
2
2
2
3
4
2
3
3
2
3
3
2
3
3
2
2
4
2
3
2
1
4
1
4
2
2
1
4
3
2
3
4
5
3
2
3
96
87
4
2
2
1
4
2
2
2
2
2
3
2
2
3
2
2
4
2
3
2
2
2
2
4
3
1
1
3
3
1
1
3
3
1
1
1
80
88
1
2
2
4
4
3
3
2
1
3
2
1
4
5
2
3
4
2
2
3
1
3
2
4
3
3
3
3
3
2
2
3
3
2
2
4
96
89
3
3
2
3
3
2
4
3
3
3
2
2
4
4
3
2
3
3
2
2
2
4
2
4
3
3
3
4
4
3
2
2
4
4
3
3
106
90
3
2
1
2
3
2
2
1
1
3
2
2
3
4
4
3
3
3
3
2
2
3
3
2
3
1
1
3
4
2
2
2
1
3
1
2
84
91
2
4
4
3
2
4
4
3
3
3
4
2
4
5
4
5
2
2
4
1
5
4
1
4
3
2
4
5
5
5
4
4
2
3
1
3
120
92
3
3
4
4
4
3
2
2
2
4
2
2
3
5
3
3
4
3
3
4
2
3
2
3
3
3
2
2
3
2
2
2
1
2
5
4
104
93
3
3
2
2
2
3
4
4
3
3
3
4
4
4
3
3
2
3
2
3
4
2
4
3
3
3
3
4
4
3
3
3
3
2
2
2
108
94
2
4
2
4
3
4
3
3
2
4
4
2
4
4
4
2
3
4
4
1
2
3
2
4
3
4
2
4
4
3
4
3
2
4
2
4
113
95
3
4
2
4
5
3
4
3
1
4
3
3
4
5
4
1
5
2
4
3
4
4
1
5
4
2
3
3
4
3
3
2
4
2
2
4
117
96
3
5
3
4
1
5
3
5
3
4
5
5
4
3
5
3
3
3
3
3
3
2
3
4
4
4
3
2
3
4
3
3
2
4
3
4
124
97
1
3
2
2
2
2
3
3
3
2
3
2
2
4
3
3
2
2
4
3
2
2
2
4
2
3
3
3
4
3
2
2
4
3
2
2
94
98
2
3
2
2
5
4
4
4
4
5
5
4
5
4
3
5
5
1
1
1
1
4
4
4
1
4
2
4
5
2
4
5
4
4
1
2
120
99
4
4
4
4
4
2
3
3
2
4
4
4
4
4
4
4
4
4
4
2
4
2
4
2
4
2
4
4
4
4
4
4
4
4
2
4
128
100
2
3
2
5
4
3
4
3
2
4
3
2
4
4
3
3
4
4
2
3
3
5
2
4
5
3
2
3
5
5
5
4
5
2
4
5
126
Jumlah
280
320
268
296
353
314
335
330
280
308
344
281
334
402
352
347
363
292
318
228
261
304
199
378
297
299
277
335
384
320
329
318
354
296
237
296
11229
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
Total
SS = 5
2
7
2
4
14
7
4
3
3
3
8
7
6
24
8
17
14
3
5
0
2
3
0
17
5
5
0
6
17
10
9
9
19
5
7
4
259
S = 4
25
30
23
27
50
32
42
40
20
33
42
22
45
57
42
35
50
25
35
4
15
32
5
55
28
22
21
44
54
32
38
32
36
31
9
27
1160
N = 3
33
42
25
34
17
33
40
44
37
35
36
21
27
16
44
28
21
37
34
37
32
33
20
18
33
46
40
29
25
28
29
30
28
25
20
34
1111
TS = 2
31
18
41
31
13
24
13
10
34
27
14
45
21
3
6
18
15
31
25
42
44
30
44
9
27
21
34
21
4
28
21
26
14
33
42
31
891
STS = 1
9
3
9
4
6
4
1
3
6
2
0
5
1
0
0
2
0
4
1
17
7
2
31
1
7
6
5
0
0
2
3
3
3
6
22
4
179
Jumlah
100 100
100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
3600
5
36
6,00
21
4,20
76 12,67
8
2,67
5
1,67
27
9,00
6
3,00
36 12,00
28 14,00
16
5,33
4
187
31,17
177 35,40
251 41,83
64 21,33
52 17,33
105 35,00
65 32,50
124 41,33
68 34,00
67 22,33
3
184
30,67
192 38,40
157 26,17
108 36,00
85 28,33
97 32,33
69 34,50
82 27,33
58 29,00
79 26,33
2
158
26,33
98 19,60
108 18,00
98 32,67
118 39,33
57 19,00
55 27,50
53 17,67
40 20,00
106 35,33
1
35
5,83
12
2,40
8
1,33
22
7,33
40 13,33
14
4,67
5
2,50
5
1,67
6
3,00
32 10,67
Factor Analysis
Notes
Output Created 20-Mar-2013 00:10:45
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
60
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined
missing values are treated as missing.
Cases Used LISTWISE: Statistics are based on
cases with no missing values for any
variable used.
Syntax FACTOR
/VARIABLES Variabel_1 Variabel_2
Variabel_3 Variabel_4 Variabel_5
Variabel_6 Variabel_7 Variabel_8
Variabel_9 Variabel_10
/MISSING LISTWISE
/ANALYSIS Variabel_1 Variabel_2
Variabel_3 Variabel_4 Variabel_5
Variabel_6 Variabel_7 Variabel_8
Variabel_9 Variabel_10
/PRINT INITIAL CORRELATION SIG
KMO EXTRACTION ROTATION
/FORMAT SORT
/CRITERIA MINEIGEN(1)
ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION VARIMAX
/METHOD=CORRELATION.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.031
Correlation Matrix
Pengalihan Stimulasi Kepuasan Tren Fisik
Correlation Pengalihan 1.000 .301 .467 .429 .583
Stimulasi .301 1.000 .294 .208 .208
Kepuasan .467 .294 1.000 .280 .380
Tren .429 .208 .280 1.000 .521
Fisik .583 .208 .380 .521 1.000
Sosial .302 .300 .475 .135 .291
Komunikasi .192 .268 .227 .381 .255
Daya Tarik .284 .315 .199 .489 .281
Status Otoritas .098 .205 .377 .223 .155
Eksternal .212 .232 .360 .147 .341
Sig. (1-tailed) Pengalihan .010 .000 .000 .000
Stimulasi .010 .011 .055 .056
Kepuasan .000 .011 .015 .001
Tren .000 .055 .015 .000
Fisik .000 .056 .001 .000
Sosial .009 .010 .000 .152 .012
Komunikasi .071 .019 .041 .001 .025
Daya Tarik .014 .007 .063 .000 .015
Status Otoritas .227 .058 .001 .043 .118
Eksternal .052 .037 .002 .131 .004
Correlation Matrix
Sosial Komunikasi Daya Tarik Status Otoritas Eksternal
Correlation Pengalihan .302 .192 .284 .098 .212
Stimulasi .300 .268 .315 .205 .232
Kepuasan .475 .227 .199 .377 .360
Tren .135 .381 .489 .223 .147
Fisik .291 .255 .281 .155 .341
Sosial 1.000 .374 .191 .272 .534
Komunikasi .374 1.000 .302 .510 .399
Daya Tarik .191 .302 1.000 .360 .131
Eksternal .534 .399 .131 .081 1.000
Sig. (1-tailed) Pengalihan .009 .071 .014 .227 .052
Stimulasi .010 .019 .007 .058 .037
Kepuasan .000 .041 .063 .001 .002
Tren .152 .001 .000 .043 .131
Fisik .012 .025 .015 .118 .004
Sosial .002 .072 .018 .000
Komunikasi .002 .010 .000 .001
Daya Tarik .072 .010 .002 .160
Status Otoritas .018 .000 .002 .270
Eksternal .000 .001 .160 .270
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure
of Sampling Adequacy.
.715
Bartlett's Test of Sphericity Approx. Chi-Square 176.941
df 45
Sig. .000
Communalities
Initial Extraction
Pengalihan 1.000 .720
Stimulasi 1.000 .287
Kepuasan 1.000 .532
Tren 1.000 .711
Fisik 1.000 .698
Sosial 1.000 .712
Komunikasi 1.000 .642
Daya Tarik 1.000 .615
Status Otoritas 1.000 .708
Eksternal 1.000 .653
Extraction Method: Principal Component
Total Variance Explained
Compo
nent
Initial Eigenvalues
Total % of Variance Cumulative %
1 3.739 37.391
2 1.300 12.997
3 1.241 12.405
4 .853 8.526 71.319
5 .808 8.080 79.399
6 .584 5.839 85.239
7 .448 4.480 89.719
8 .418 4.180 93.898
9 .381 3.805 97.704
10 .230 2.296 100.000
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo
nent
Initial
Eigenvalues Extraction Sums of Squared Loadings
Cumulative % Total % of Variance Cumulative %
1 37.391 3.739 37.391 37.391
2 50.389 1.300 12.997 50.389
3 62.794 1.241 12.405 62.794
Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo
nent
Rotation Sums of Squared Loadings
Total % of Variance Cumulative %
1 2.226 22.262 22.262
2 2.125 21.255 43.517
3 1.928 19.276 62.794
Extraction Method: Principal Component Analysis.
Component Matrixa
Component
Fisik .678 -.311 -.376
Kepuasan .677 .184 -.202
Pengalihan .653 -.322 -.436
Sosial .637 .535 -.142
Tren .634 -.552 .071
Komunikasi .633 .209 .445
Daya Tarik .570 -.380 .383
Eksternal .561 .517 -.266
Stimulasi .528 .066 .064
Status Otoritas .519 .124 .651
Extraction Method: Principal Component Analysis.
a. 3 components extracted.
Rotated Component Matrixa
Component
1 2 3
Pengalihan .795 .296 -.024
Fisik .780 .298 .040
Tren .739 -.059 .402
Sosial .088 .814 .205
Eksternal .102 .800 .059
Kepuasan .374 .600 .180
Stimulasi .257 .335 .330
Status Otoritas -.019 .169 .824
Komunikasi .074 .370 .707
Daya Tarik .460 -.078 .631
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.
Component Transformation Matrix
Compo
nent 1 2 3
2 -.679 .734 -.017
3 -.395 -.346 .851
Extraction Method: Principal Component
Analysis.
Rotation Method: Varimax with Kaiser
Uji Validitas
Notes
Output Created 19-Mar-2013 16:08:01
Comments
Input Data F:\SKRIPSI\3\Ines\data ines.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
100
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each pair of variables are
based on all the cases with valid data for
that pair.
Syntax CORRELATIONS
/VARIABLES=P1 P2 P3 P4 P5 P6 S1
S2 S3 S4 S5 K1 K2 K3 K4 K5 K6 T1 T2
T3 A1 A2 A3 D1 D2 D3 C1 C2 PGA1
PGA2 PGA3 SA1 SA2 TA1 TA2 TA3
TOTAL
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 0:00:00.079
Correlations Item 1 Item 2 Item 3 Item 4 Item 5 Item 6 Item 7 Item 8 Item 9 Item 10 Item 11 Item 12 Item 13 Item 14 Item 15 Item 16 Item 17 Item 18 Ite m 1 Pearson Correlatio n
1 .278
**
.337
**
-.03
0
.196 .049 .204
*
.089 -.07
7
.076 .108 .205
*
.076 -.10
8
.104 .014 .131 .127
Sig.
(2-tailed)
.005 .001 .766 .050 .625 .042 .381 .446 .455 .283 .041 .450 .287 .304 .891 .193 .206
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 2 Pearson Correlatio n .278 **
1 .402
**
.124 .075 .311
** .245 * .392 ** .200 *
.091 .424
** .360 ** .243 * .206 * .624 **
.165 .090 .174
Sig.
(2-tailed)
.005 .000 .218 .456 .002 .014 .000 .046 .370 .000 .000 .015 .040 .000 .102 .376 .083
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 3 Pearson Correlatio n .337 ** .402 **
1 .157 .151 .158 .178 .233
*
.148 .063 .184 .344
**
.221
*
.079 .217
*
.274
**
.125 .226
*
Sig.
(2-tailed)
.001 .000 .119 .135 .116 .076 .019 .141 .533 .067 .000 .027 .434 .030 .006 .215 .023
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 4 Pearson Correlatio n -.03 0
.124 .157 1 .208
*
.358
**
.178 .291
**
.150 .205
*
.239
*
.272
**
.167 .089 .103 .142 .217
*
.147
Sig.
(2-tailed)
.766 .218 .119 .038 .000 .077 .003 .136 .041 .017 .006 .097 .379 .310 .160 .030 .146
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 5
Pearson
Correlatio
n
.196 .075 .151 .208
*
1 .043 .059 .036 -.02
4
.039 .255
*
.266
**
.154 .155 .031 .163 .917
**
-.00
8
Sig.
(2-tailed)
.050 .456 .135 .038 .670 .559 .723 .812 .697 .010 .008 .126 .125 .757 .105 .000 .939
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 6
Pearson
Correlatio
n
.049 .311
**
.158 .358
**
.043 1 .149 .561
**
.412
**
.191 .364
**
.494
**
.203
*
.136 .163 .239
*
.036 .178
Sig.
(2-tailed)
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 Ite m 7 Pearson Correlatio n .204 * .245 *
.178 .178 .059 .149 1 .186 .174 .127 .256
*
.174 .123 .021 .233
*
.193 .058 .148
Sig.
(2-tailed)
.042 .014 .076 .077 .559 .138 .064 .083 .206 .010 .084 .222 .833 .020 .054 .566 .141
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 8
Pearson
Correlatio
n
.089 .392
**
.233
*
.291
**
.036 .561
**
.186 1 .629
**
.064 .461
**
.455
**
.243
*
.076 .211
*
.371
**
.056 .128
Sig.
(2-tailed)
.381 .000 .019 .003 .723 .000 .064 .000 .527 .000 .000 .015 .454 .035 .000 .577 .205
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 9 Pearson Correlatio n -.07 7 .200 *
.148 .150 -.02
4 .412
**
.174 .629
**
1 .068 .219
*
.278
**
.164 .096 .021 .338
** -.05 3 .206 * Sig. (2-tailed)
.446 .046 .141 .136 .812 .000 .083 .000 .503 .029 .005 .103 .343 .838 .001 .603 .040
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 10 Pearson Correlatio n
.076 .091 .063 .205
*
.039 .191 .127 .064 .068 1 .128 .282
**
.572
**
.153 .090 .122 .024 .192
Sig.
(2-tailed)
.455 .370 .533 .041 .697 .056 .206 .527 .503 .203 .004 .000 .128 .373 .226 .810 .055
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 11 Pearson Correlatio n
.108 .424
**
.184 .239
* .255 * .364 ** .256 * .461 ** .219 *
.128 1 .450
**
.200
*
.102 .334
** .377 ** .245 * .020 Sig. (2-tailed)
.283 .000 .067 .017 .010 .000 .010 .000 .029 .203 .000 .046 .310 .001 .000 .014 .843
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 12 Pearson Correlatio n .205 * .360 ** .344 ** .272 ** .266 ** .494 **
.174 .455
** .278 ** .282 ** .450 **
1 .422
**
.097 .324
** .302 ** .304 ** .223 * Sig. (2-tailed)
.041 .000 .000 .006 .008 .000 .084 .000 .005 .004 .000 .000 .337 .001 .002 .002 .026
Ite m 13 Pearson Correlatio n
.076 .243
*
.221
*
.167 .154 .203
*
.123 .243
*
.164 .572
**
.200
*
.422
**
1 .249
*
.126 .277
**
.105 .214
*
Sig.
(2-tailed)
.450 .015 .027 .097 .126 .043 .222 .015 .103 .000 .046 .000 .012 .212 .005 .299 .033
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 14 Pearson Correlatio n -.10 8 .206 *
.079 .089 .155 .136 .021 .076 .096 .153 .102 .097 .249
*
1 .171 .135 .150 -.04
3
Sig.
(2-tailed)
.287 .040 .434 .379 .125 .177 .833 .454 .343 .128 .310 .337 .012 .089 .181 .137 .670
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 15 Pearson Correlatio n
.104 .624
**
.217
*
.103 .031 .163 .233
*
.211
*
.021 .090 .334
**
.324
**
.126 .171 1 .047 .110 .123
Sig.
(2-tailed)
.304 .000 .030 .310 .757 .106 .020 .035 .838 .373 .001 .001 .212 .089 .640 .274 .223
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 16 Pearson Correlatio n
.014 .165 .274
**
.142 .163 .239
*
.193 .371
**
.338
**
.122 .377
**
.302
**
.277
**
.135 .047 1 .133 -.02
4
Sig.
(2-tailed)
.891 .102 .006 .160 .105 .017 .054 .000 .001 .226 .000 .002 .005 .181 .640 .187 .815
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 17 Pearson Correlatio n
.131 .090 .125 .217
*
.917
**
.036 .058 .056 -.05
3
.024 .245
*
.304
**
.105 .150 .110 .133 1 -.01
2
Sig.
(2-tailed)
.193 .376 .215 .030 .000 .725 .566 .577 .603 .810 .014 .002 .299 .137 .274 .187 .908
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 18 Pearson Correlatio n
.127 .174 .226
*
.147 -.00
8
.178 .148 .128 .206
*
.192 .020 .223
*
.214
*
-.04
3
.123 -.02
4 -.01 2 1 Sig. (2-tailed)
.206 .083 .023 .146 .939 .076 .141 .205 .040 .055 .843 .026 .033 .670 .223 .815 .908
Ite m 19 Pearson Correlatio n .268 ** .199 * .279 **
.032 .160 .107 .117 .146 .007 .132 .229
*
.321
**
.219
*
.149 .193 .232
*
.156 .066
Sig.
(2-tailed)
.007 .047 .005 .752 .111 .291 .247 .146 .943 .191 .022 .001 .028 .139 .054 .020 .121 .512
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 20 Pearson Correlatio n -.04 4
.006 .128 .323
**
-.11
6 .232
*
.000 .120 .159 .110 -.15
8
.160 .077 .061 -.16
7
.010 -.10
7 .114
Sig.
(2-tailed)
.664 .956 .205 .001 .249 .020 .993 .236 .115 .274 .116 .112 .449 .550 .098 .919 .287 .257
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 21 Pearson Correlatio n .288 ** .340 ** .470 ** .265 **
.132 .231
*
.201
*
.190 .027 .064 .191 .356
**
.274
**
.198
*
.189 .198
*
.082 .256
*
Sig.
(2-tailed)
.004 .001 .000 .008 .189 .021 .045 .058 .793 .525 .057 .000 .006 .048 .060 .048 .420 .010
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 22 Pearson Correlatio n
.009 .280
**
.227
*
.060 .133 .094 .126 .038 .010 .157 .283
**
.081 .288
**
.229
*
.151 .162 .116 -.08
1
Sig.
(2-tailed)
.929 .005 .023 .552 .188 .351 .213 .705 .925 .118 .004 .421 .004 .022 .135 .108 .250 .424
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 23 Pearson Correlatio n .288 **
.106 .128 .237
*
.150 .217
*
.016 .166 .100 .174 .193 .414
**
.174 -.11
5
.008 .235
*
.153 .168
Sig.
(2-tailed)
.004 .293 .204 .017 .137 .030 .873 .098 .323 .083 .055 .000 .083 .255 .933 .019 .128 .095
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 24 Pearson Correlatio n -.25 2*
.030 -.05
9
.184 .222
*
.164 .038 .094 .095 -.06
8 .218
*
.085 -.01
9
.103 -.12
0 .238 * .228 * -.23 7* Sig. (2-tailed)
.011 .765 .561 .067 .026 .103 .711 .350 .350 .502 .029 .398 .849 .308 .235 .017 .022 .018
Ite m 25 Pearson Correlatio n
.054 .222
*
.299
**
.498
**
.088 .303
**
.162 .317
**
.121 .080 .301
**
.322
**
.076 -.09
5 .197
*
.252
*
.097 .073
Sig.
(2-tailed)
.591 .027 .002 .000 .383 .002 .108 .001 .230 .428 .002 .001 .451 .348 .049 .012 .336 .471
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 26 Pearson Correlatio n -.05 7
.108 .072 .407
**
.255
*
.326
**
.139 .363
** .356 ** .242 * .290 ** .354 ** .217 *
.090 .067 .399
** .233 * .058 Sig. (2-tailed)
.574 .287 .474 .000 .010 .001 .167 .000 .000 .015 .003 .000 .030 .376 .510 .000 .019 .568
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 27 Pearson Correlatio n
.029 .178 .056 .191 .036 .257
**
.172 .206
*
.263
**
.065 .175 .234
*
.143 .041 .049 .137 .007 .107
Sig.
(2-tailed)
.772 .077 .579 .058 .725 .010 .088 .039 .008 .520 .081 .019 .157 .686 .630 .175 .949 .289
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 28 Pearson Correlatio n -.07 0
.025 .048 .306
**
.069 .139 .109 .135 .185 .131 .229
*
.137 .215
*
.068 .028 .161 .050 .198
*
Sig.
(2-tailed)
.490 .806 .632 .002 .497 .166 .279 .182 .066 .195 .022 .175 .032 .501 .780 .110 .621 .049
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 29 Pearson Correlatio n
.080 .223
*
.066 .118 .106 .139 .188 .063 .142 .110 .244
*
.152 .154 .025 .209
*
.085 .165 .099
Sig.
(2-tailed)
.432 .026 .512 .240 .293 .168 .061 .532 .159 .277 .015 .131 .125 .808 .037 .402 .101 .328
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 30 Pearson Correlatio n
.150 .289
**
.272
**
.401
**
.040 .359
** .223 * .292 ** .360 **
.147 .322
** .240 * .197 * -.04 6 .224 *
.157 -.00
7 .318
**
Sig.
(2-tailed)
.136 .004 .006 .000 .691 .000 .026 .003 .000 .143 .001 .016 .050 .648 .025 .118 .949 .001
Ite m 31 Pearson Correlatio n
.060 .134 .176 .310
**
.119 .305
**
.100 .229
*
.291
**
.098 .343
**
.119 .157 .090 .151 .120 .098 .268
**
Sig.
(2-tailed)
.556 .184 .080 .002 .240 .002 .321 .022 .003 .331 .000 .237 .119 .375 .133 .232 .334 .007
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 32 Pearson Correlatio n -.07 5 -.07 1
.107 .153 .142 .154 .108 .117 .113 .128 .203
*
.294
**
.249
*
.009 .022 .158 .171 .145
Sig.
(2-tailed)
.461 .482 .288 .128 .158 .126 .283 .244 .264 .204 .042 .003 .013 .931 .826 .117 .088 .149
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 33 Pearson Correlatio n -.07 0
.054 .003 .224
*
.227
*
.014 .098 .200
*
.184 .072 .176 .148 .133 .079 .052 .182 .234
*
.035
Sig.
(2-tailed)
.486 .591 .979 .025 .023 .891 .334 .046 .067 .477 .079 .143 .186 .436 .610 .070 .019 .731
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 34 Pearson Correlatio n
.022 .061 -.09
0
.181 .109 .219
*
.085 .086 .002 .058 .160 .057 .014 -.01
2
.120 -.01
0
.123 .028
Sig.
(2-tailed)
.831 .547 .371 .071 .281 .028 .403 .395 .984 .570 .112 .574 .887 .903 .234 .918 .223 .780
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 35 Pearson Correlatio n -.08 7
.083 .187 .229
*
.144 .016 -.03
0
.098 .061 -.17
9 -.03
5
.126 -.05
4 .212 * .216 * -.02 0
.174 -.04
9
Sig.
(2-tailed)
.390 .411 .063 .022 .154 .872 .770 .333 .545 .075 .729 .211 .590 .034 .031 .840 .084 .629
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 36 Pearson Correlatio n -.03 0
.124 .157 1.00
0** .208
*
.358
**
.178 .291
**
.150 .205
*
.239
*
.272
**
.167 .089 .103 .142 .217
*
.147
Sig.
(2-tailed)
.766 .218 .119 .000 .038 .000 .077 .003 .136 .041 .017 .006 .097 .379 .310 .160 .030 .146
Tot al Pearson Correlatio n .237 * .483 ** .449 ** .579 ** .386 ** .542 ** .541 ** .547 ** .435 ** .319 ** .578 ** .627 ** .462 ** .239 * .338 ** .472 ** .371 ** .300 ** Sig. (2-tailed)
.018 .000 .000 .000 .000 .000 .000 .000 .000 .001 .000 .000 .000 .017 .001 .000 .000 .002
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations Item 19 Item 20 Item 21 Item 22 Item 23 Item 24 Item 25 Item 26 Item 27 Item 28 Item 29 Item 30 Item 31 Item 32 Item 33 Item 34 Item 35 Ite m 1 Pearson Correlatio n .268 ** -.04 4 .288 **
.009 .288
**
-.25
2*
.054 -.05
7
.029 -.07
0
.080 .150 .060 -.07
5 -.07
0
.022 -.08
7
Sig.
(2-tailed)
.007 .664 .004 .929 .004 .011 .591 .574 .772 .490 .432 .136 .556 .461 .486 .831 .390
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 2 Pearson Correlatio n .199 *
.006 .340
**
.280
**
.106 .030 .222
*
.108 .178 .025 .223
*
.289
**
.134 -.07
1
.054 .061 .083
Sig.
(2-tailed)
.047 .956 .001 .005 .293 .765 .027 .287 .077 .806 .026 .004 .184 .482 .591 .547 .411
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 3 Pearson Correlatio n .279 **
.128 .470
**
.227
*
.128 -.05
9 .299
**
.072 .056 .048 .066 .272
**
.176 .107 .003 -.09
0 .187
Sig.
(2-tailed)
.005 .205 .000 .023 .204 .561 .002 .474 .579 .632 .512 .006 .080 .288 .979 .371 .063
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 4
Pearson
Correlatio
n
.032 .323
**
.265
**
.060 .237
*
.184 .498
**
.407
**
.191 .306
**
.118 .401
**
.310
**
.153 .224
*
.181 .229
*
Sig.
(2-tailed)
.752 .001 .008 .552 .017 .067 .000 .000 .058 .002 .240 .000 .002 .128 .025 .071 .022
Ite
m 5
Pearson
Correlatio
n
.160 -.11
6
.132 .133 .150 .222
*
.088 .255
*
.036 .069 .106 .040 .119 .142 .227
*
.109 .144
Sig.
(2-tailed)
.111 .249 .189 .188 .137 .026 .383 .010 .725 .497 .293 .691 .240 .158 .023 .281 .154
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 6
Pearson
Correlatio
n
.107 .232
*
.231
*
.094 .217
*
.164 .303
**
.326
**
.257
**
.139 .139 .359
**
.305
**
.154 .014 .219
*
.016
Sig.
(2-tailed)
.291 .020 .021 .351 .030 .103 .002 .001 .010 .166 .168 .000 .002 .126 .891 .028 .872
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 7
Pearson
Correlatio
n
.117 .000 .201
*
.126 .016 .038 .162 .139 .172 .109 .188 .223
*
.100 .108 .098 .085 -.03
0
Sig.
(2-tailed)
.247 .993 .045 .213 .873 .711 .108 .167 .088 .279 .061 .026 .321 .283 .334 .403 .770
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 8
Pearson
Correlatio
n
.146 .120 .190 .038 .166 .094 .317
**
.363
**
.206
*
.135 .063 .292
**
.229
*
.117 .200
*
.086 .098
Sig.
(2-tailed)
.146 .236 .058 .705 .098 .350 .001 .000 .039 .182 .532 .003 .022 .244 .046 .395 .333
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite
m 9
Pearson
Correlatio
n
.007 .159 .027 .010 .100 .095 .121 .356
**
.263
**
.185 .142 .360
**
.291
**
.113 .184 .002 .061
Sig.
(2-tailed)
.943 .115 .793 .925 .323 .350 .230 .000 .008 .066 .159 .000 .003 .264 .067 .984 .545
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 10 Pearson Correlatio n
.132 .110 .064 .157 .174 -.06
8
.080 .242
*
.065 .131 .110 .147 .098 .128 .072 .058 -.17
9
Sig.
(2-tailed)
.191 .274 .525 .118 .083 .502 .428 .015 .520 .195 .277 .143 .331 .204 .477 .570 .075
Ite m 11 Pearson Correlatio n .229 * -.15 8
.191 .283
**
.193 .218
*
.301
**
.290
**
.175 .229
* .244 * .322 ** .343 ** .203 *
.176 .160 -.03
5
Sig.
(2-tailed)
.022 .116 .057 .004 .055 .029 .002 .003 .081 .022 .015 .001 .000 .042 .079 .112 .729
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 12 Pearson Correlatio n .321 **
.160 .356
**
.081 .414
**
.085 .322
**
.354
**
.234
*
.137 .152 .240
*
.119 .294
**
.148 .057 .126
Sig.
(2-tailed)
.001 .112 .000 .421 .000 .398 .001 .000 .019 .175 .131 .016 .237 .003 .143 .574 .211
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 13 Pearson Correlatio n .219 *
.077 .274
**
.288
**
.174 -.01
9
.076 .217
*
.143 .215
*
.154 .197
*
.157 .249
*
.133 .014 -.05
4
Sig.
(2-tailed)
.028 .449 .006 .004 .083 .849 .451 .030 .157 .032 .125 .050 .119 .013 .186 .887 .590
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 14 Pearson Correlatio n
.149 .061 .198
*
.229
*
-.11
5
.103 -.09
5
.090 .041 .068 .025 -.04
6
.090 .009 .079 -.01
2 .212
*
Sig.
(2-tailed)
.139 .550 .048 .022 .255 .308 .348 .376 .686 .501 .808 .648 .375 .931 .436 .903 .034
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 15 Pearson Correlatio n
.193 -.16
7
.189 .151 .008 -.12
0 .197
*
.067 .049 .028 .209
*
.224
*
.151 .022 .052 .120 .216
*
Sig.
(2-tailed)
.054 .098 .060 .135 .933 .235 .049 .510 .630 .780 .037 .025 .133 .826 .610 .234 .031
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 16 Pearson Correlatio n .232 *
.010 .198
*
.162 .235
* .238 * .252 * .399 **
.137 .161 .085 .157 .120 .158 .182 -.01
0 -.02
0
Sig.
(2-tailed)
.020 .919 .048 .108 .019 .017 .012 .000 .175 .110 .402 .118 .232 .117 .070 .918 .840
Ite m 17 Pearson Correlatio n
.156 -.10
7
.082 .116 .153 .228
*
.097 .233
*
.007 .050 .165 -.00
7
.098 .171 .234
*
.123 .174
Sig.
(2-tailed)
.121 .287 .420 .250 .128 .022 .336 .019 .949 .621 .101 .949 .334 .088 .019 .223 .084
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 18 Pearson Correlatio n
.066 .114 .256
*
-.08
1
.168 -.23
7*
.073 .058 .107 .198
*
.099 .318
**
.268
**
.145 .035 .028 -.04
9
Sig.
(2-tailed)
.512 .257 .010 .424 .095 .018 .471 .568 .289 .049 .328 .001 .007 .149 .731 .780 .629
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 19 Pearson Correlatio n
1 .112 .299
**
.188 .267
**
-.03
9 .203
*
.181 .148 .149 .237
*
.201
*
.076 .107 .056 -.03
5 .063
Sig.
(2-tailed)
.266 .002 .061 .007 .700 .042 .071 .140 .140 .017 .045 .452 .289 .578 .728 .537
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 20 Pearson Correlatio n
.112 1 .141 .054 .305
**
.046 .286
**
.072 .113 -.01
2 -.11
1
.129 .024 -.02
6 -.03 8 -.09 6 .075 Sig. (2-tailed)
.266 .162 .591 .002 .648 .004 .478 .263 .909 .271 .200 .813 .801 .708 .341 .460
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 21 Pearson Correlatio n .299 **
.141 1 .168 .247
*
.031 .208
*
.079 .161 .149 .102 .305
**
.161 .078 .011 .091 .163
Sig.
(2-tailed)
.002 .162 .095 .013 .758 .038 .433 .109 .139 .314 .002 .109 .443 .911 .368 .105
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 22 Pearson Correlatio n
.188 .054 .168 1 .053 .075 .208
*
.083 .025 .273
**
.173 .143 .154 .156 .168 -.06
2 .015
Sig.
(2-tailed)
.061 .591 .095 .600 .458 .038 .409 .802 .006 .086 .156 .126 .122 .095 .539 .883
Ite m 23 Pearson Correlatio n .267 ** .305 ** .247 *
.053 1 -.08
5 .292
**
.203
*
.110 .167 .093 .177 .123 .178 -.02
8
.160 .014
Sig.
(2-tailed)
.007 .002 .013 .600 .400 .003 .042 .274 .096 .357 .078 .223 .077 .782 .113 .887
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 24 Pearson Correlatio n -.03 9
.046 .031 .075 -.08
5
1 .311
**
.368
**
.124 .036 .038 -.07
5
.004 .102 .242
*
.157 .104
Sig.
(2-tailed)
.700 .648 .758 .458 .400 .002 .000 .221 .725 .704 .460 .965 .313 .015 .119 .305
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 25 Pearson Correlatio n .203 * .286 ** .208 * .208 * .292 ** .311 **
1 .359
**
.122 .158 .192 .315
**
.148 .015 .063 .075 .097
Sig.
(2-tailed)
.042 .004 .038 .038 .003 .002 .000 .228 .116 .055 .001 .143 .882 .536 .460 .337
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 26 Pearson Correlatio n
.181 .072 .079 .083 .203
*
.368
**
.359
**
1 .408
**
.286
**
.170 .149 .122 .139 .293
** .320 ** .203 * Sig. (2-tailed)
.071 .478 .433 .409 .042 .000 .000 .000 .004 .090 .138 .227 .167 .003 .001 .043
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 27 Pearson Correlatio n
.148 .113 .161 .025 .110 .124 .122 .408
**
1 .233
*
.069 .265
**
.068 .262
**
.143 .289
**
.207
*
Sig.
(2-tailed)
.140 .263 .109 .802 .274 .221 .228 .000 .020 .492 .008 .499 .009 .157 .004 .039
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 28 Pearson Correlatio n
.149 -.01
2
.149 .273
**
.167 .036 .158 .286
**
.233
*
1 .270
** .325 ** .297 ** .267 ** .384 **
.037 -.02
0
Sig.
(2-tailed)
.140 .909 .139 .006 .096 .725 .116 .004 .020 .007 .001 .003 .007 .000 .712 .846
Ite m 29 Pearson Correlatio n .237 * -.11 1
.102 .173 .093 .038 .192 .170 .069 .270
**
1 .424
**
.374
**
.118 .227
*
.134 -.13
2
Sig.
(2-tailed)
.017 .271 .314 .086 .357 .704 .055 .090 .492 .007 .000 .000 .244 .023 .184 .191
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 30 Pearson Correlatio n .201 *
.129 .305
**
.143 .177 -.07
5 .315
**
.149 .265
**
.325
**
.424
**
1 .654
**
.139 .190 -.01
1 .023
Sig.
(2-tailed)
.045 .200 .002 .156 .078 .460 .001 .138 .008 .001 .000 .000 .167 .058 .911 .823
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 31 Pearson Correlatio n
.076 .024 .161 .154 .123 .004 .148 .122 .068 .297
**
.374
**
.654
**
1 .306
**
.293
**
.108 .127
Sig.
(2-tailed)
.452 .813 .109 .126 .223 .965 .143 .227 .499 .003 .000 .000 .002 .003 .284 .207
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 32 Pearson Correlatio n
.107 -.02
6
.078 .156 .178 .102 .015 .139 .262
**
.267
**
.118 .139 .306
**
1 .315
** -.05 0 .108 Sig. (2-tailed)
.289 .801 .443 .122 .077 .313 .882 .167 .009 .007 .244 .167 .002 .001 .620 .285
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 33 Pearson Correlatio n
.056 -.03
8
.011 .168 -.02
8 .242
*
.063 .293
**
.143 .384
**
.227
*
.190 .293
**
.315
**
1 -.06
3 .119
Sig.
(2-tailed)
.578 .708 .911 .095 .782 .015 .536 .003 .157 .000 .023 .058 .003 .001 .533 .238
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 34 Pearson Correlatio n -.03 5 -.09 6
.091 -.06
2
.160 .157 .075 .320
**
.289
**
.037 .134 -.01
1
.108 -.05
0 -.06
3
1 .081
Sig.
(2-tailed)
.728 .341 .368 .539 .113 .119 .460 .001 .004 .712 .184 .911 .284 .620 .533 .424
Ite m 35 Pearson Correlatio n
.063 .075 .163 .015 .014 .104 .097 .203
* .207 * -.02 0 -.13 2
.023 .127 .108 .119 .081 1
Sig.
(2-tailed)
.537 .460 .105 .883 .887 .305 .337 .043 .039 .846 .191 .823 .207 .285 .238 .424
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Ite m 36 Pearson Correlatio n
.032 .323
**
.265
**
.060 .237
*
.184 .498
**
.407
**
.191 .306
**
.118 .401
**
.310
**
.153 .224
*
.181 .229
*
Sig.
(2-tailed)
.752 .001 .008 .552 .017 .067 .000 .000 .058 .002 .240 .000 .002 .128 .025 .071 .022
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Tot al Pearson Correlatio n .382 ** .197 * .487 ** .338 ** .371 ** .240 * .494 ** .555 ** .409 ** .410 ** .381 ** .557 ** .476 ** .365 ** .369 ** .225 * .213 * Sig. (2-tailed)
.000 .050 .000 .001 .000 .016 .000 .000 .000 .000 .000 .000 .000 .000 .000 .025 .034
N 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
Item 36 Total
Item 1 Pearson Correlation -.030 .237*
Sig. (2-tailed) .766 .018
N 100 100
Item 2 Pearson Correlation .124 .483**
Sig. (2-tailed) .218 .000
N 100 100
Item 3 Pearson Correlation .157 .449**
Sig. (2-tailed) .119 .000
N 100 100
Item 4 Pearson Correlation 1.000** .579**
Sig. (2-tailed) .000 .000
N 100 100
Item 5 Pearson Correlation .208* .386**
N 100 100
Item 6 Pearson Correlation .358** .542**
Sig. (2-tailed) .000 .000
N 100 100
Item 7 Pearson Correlation .178 .541**
Sig. (2-tailed) .077 .000
N 100 100
Item 8 Pearson Correlation .291** .547**
Sig. (2-tailed) .003 .000
N 100 100
Item 9 Pearson Correlation .150 .435**
Sig. (2-tailed) .136 .000
N 100 100
Item 10 Pearson Correlation .205* .319**
Sig. (2-tailed) .041 .001
N 100 100
Item 11 Pearson Correlation .239* .578**
Sig. (2-tailed) .017 .000
N 100 100
Item 12 Pearson Correlation .272** .627**
Sig. (2-tailed) .006 .000
N 100 100
Item 13 Pearson Correlation .167 .462**
Sig. (2-tailed) .097 .000
N 100 100
Item 14 Pearson Correlation .089 .239*
Sig. (2-tailed) .379 .017
N 100 100
Item 15 Pearson Correlation .103 .338**
Sig. (2-tailed) .310 .001
N 100 100
Item 16 Pearson Correlation .142 .472**
Sig. (2-tailed) .160 .000
Item 17 Pearson Correlation .217* .371**
Sig. (2-tailed) .030 .000
N 100 100
Item 18 Pearson Correlation .147 .300**
Sig. (2-tailed) .146 .002
N 100 100
Item 19 Pearson Correlation .032 .382**
Sig. (2-tailed) .752 .000
N 100 100
Item 20 Pearson Correlation .323** .197*
Sig. (2-tailed) .001 .050
N 100 100
Item 21 Pearson Correlation .265** .487**
Sig. (2-tailed) .008 .000
N 100 100
Item 22 Pearson Correlation .060 .338**
Sig. (2-tailed) .552 .001
N 100 100
Item 23 Pearson Correlation .237* .371**
Sig. (2-tailed) .017 .000
N 100 100
Item 24 Pearson Correlation .184 .240*
Sig. (2-tailed) .067 .016
N 100 100
Item 25 Pearson Correlation .498** .494**
Sig. (2-tailed) .000 .000
N 100 100
Item 26 Pearson Correlation .407** .555**
Sig. (2-tailed) .000 .000
N 100 100
Item 27 Pearson Correlation .191 .409**
Sig. (2-tailed) .058 .000
N 100 100
Sig. (2-tailed) .002 .000
N 100 100
Item 29 Pearson Correlation .118 .381**
Sig. (2-tailed) .240 .000
N 100 100
Item 30 Pearson Correlation .401** .557**
Sig. (2-tailed) .000 .000
N 100 100
Item 31 Pearson Correlation .310** .476**
Sig. (2-tailed) .002 .000
N 100 100
Item 32 Pearson Correlation .153 .365**
Sig. (2-tailed) .128 .000
N 100 100
Item 33 Pearson Correlation .224* .369**
Sig. (2-tailed) .025 .000
N 100 100
Item 34 Pearson Correlation .181 .225*
Sig. (2-tailed) .071 .025
N 100 100
Item 35 Pearson Correlation .229* .213*
Sig. (2-tailed) .022 .034
N 100 100
Item 36 Pearson Correlation 1 .579**
Sig. (2-tailed) .000
N 100 100
Total Pearson Correlation .579** 1
Sig. (2-tailed) .000
N 100 100
**. Correlation is significant at the 0.01 level (2-tailed).
Uji Reliabilitas
Notes
Output Created 19-Mar-2013 16:08:17
Comments
Input Data F:\SKRIPSI\3\Ines\data ines.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
100
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on all cases with
valid data for all variables in the
procedure.
Syntax RELIABILITY
/VARIABLES=P1 P2 P3 P4 P5 P6 S1
S2 S3 S4 S5 K1 K2 K3 K4 K5 K6 T1 T2
T3 A1 A2 A3 D1 D2 D3 C1 C2 PGA1
PGA2 PGA3 SA1 SA2 TA1 TA2 TA3
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 100 100.0
Total 100 100.0
a. Listwise deletion based on all variables in the
