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Lampiran 1
KUESIONER PENELITIAN
Jakarta,
Kepada Yth,
Bapak/Ibu Guru SMK Jakarta 1 atau SMA Cengkareng 1
Hal : Permohonan pengisian Kuesioner Penelitian
Dengan Hormat.
Saya adalah mahasiswa dari Program Studi Manajemen Fakultas Ekonomi Universitas
Esa Unggul bermaksud melakukan penelitian ilmiah berupa Skripsi yang berjudul Pengaruh
Kompensasi dan Kompetensi Terhadap Disiplin Kerja Guru. Sehubungan dengan hal di atas
saya mohon partisipasi Bapak/Ibu selaku guru untuk mengisi kuesioner ini. Jawaban yang
diberikan oleh Bapak/Ibu merupakan hal yang jujur dan sesuai dengan kondisi yang Bapak/Ibu
rasakan selama ini. Semua data dan informasi yang terkumpul akan dijaga kerahasiaannya dan
hanya digunakan untuk kepentingan akademis.
Setiap jawaban yang Bapak/Ibu berikan merupakan kunci keberhasilan penelitian ilmiah
ini. Atas partisipasi dan kesediaan Bapak/Ibu meluangkan waktu untuk mengisi kuesioner ini,
Saya ucapkan terima kasih.
Hormat Saya,
Emia Neguita Manik
Peneliti.
A. Identitas Responden Mohon dijawab sesuai dengan keadaan sebenarnya, dengan cara memberi tanda checklist ( √ ) pada kotak yang tersedia.
1. Jenis Kelamin anda :
2. Usia anda :
3. Pendidikan Terakhir :
4. Masa Kerja
Perempuan
Laki-Laki
>35 tahun < 25 tahun
26 - 30 tahun
31 - 35 tahun
Sarjana S1
Magister Diploma/D3
0 – 10 tahun
11 – 20 tahun
21 – 30 tahun
31 – 40 tahun
B. Petunjuk Pengisian Kuesioner berikut memuat sejumlah pernyataan. Silahkan Bapak/Ibu tunjukkan seberapa besar tingkat persetujuan/ketidaksetujuan terhadap setiap pernyataan dengan memberi tanda check list () pada kotak jawaban di sebelah kanan pernyataan dengan skala interval 1- 4. Tidak ada jawaban benar atau salah. Bapak/Ibu hanya mengisi satu jawaban pada setiap pernyataan dan cukup menjawab secara langsung sesuai dengan kondisi dan situasi yang dirasakan selama ini sebagai guru di SMK Jakarta 1 atau SMACengkareng 1.
Keterangan :
Sangat Tidak Setuju (STS) : Nilai 1, artinya pernyataan sangat tidak sesuai dengan keadaan yang dirasakan.
Tidak Setuju (TS) : Nilai 2, artinya pernyataan kurang sesuai dengan keadaan yang dirasakan.
Setuju (S) : Nilai 3, artinya pernyataan sesuai dengan keadaan yang dirasakan.
Sangat Setuju (SS) : Nilai 4, artinya pernyataan sangat sesuai dengan keadaan yang dirasakan.
Kompensasi (X1)
No. PERNYATAAN STS TS S SS
1. Upah yang saya terima sudah lebih baik dari sekolah lain
2. Saya sudah mendapatkan upah yang sesuai dengan profesi saya sebagai guru
3. Upah yang diterima selalu diberikan tepat pada waktunya
4. Sebagai wali kelas, saya mendapatkan insentif yang sesuai dengan tanggung jawab yang diberikan
5. Insentif untuk guru piket sudah berdasarkan prinsip kesepakatan
6. Sekolah selalu memberikan penghargaan untuk guru yang berdedikasi tinggi
7. Untuk guru yang sudah lama mengajar akan diberikan penghargaan dari sekolah
8. Tunjangan untuk transportasi yang diberikan sudah cukup
9. Saya selalu mendapatkan tunjangan menjelang hari raya
10. Tunjangan kesehatan yang diberikan sangat bermanfaat untuk kesehatan saya
11. Tunjangan sertifikasi yang saya peroleh sangat memadai
Kompetensi (X2)
No PERNYATAAN STS TS S SS
1. Saya menerapkan teori belajar dan pembelajaran
2. Saya menentukan strategi pembelajaran berdasarkan karakteristik peserta didik
3. Saya melaksanakan pembelajaran yang kondusif
4. Saya menyusun rancangan pembelajaran berdasarkan strategi yang dipilih
5. Saya dapat mengembangkan berbagai potensi peserta didik non-akademik
6. Saya melaksanakan evaluasi hasil belajar dengan berbagai metode
7. Saya memanfaatkan hasil penelitian pembelajaran untuk perbaikan kualitas program pembelajaran secara umum
8. Saya selalu menampilkan kemandirian dalam bertindak sebagai pendidik
9. Saya memiliki etos kerja sebagai guru
10. Saya memiliki perilaku yang berpengaruh positif terhadap peserta didik
11. Saya memiliki perilaku yang disegani
12. Saya bertindak sesuai dengan norma agama
13. Saya memiliki perilaku yang diteladani peserta didik
14. Saya memahami materi yang ada dalam kurikulum sekolah
15. Saya menerapkan konsep-konsep keilmuan dalam kehidupan sehari-hari
16. Saya memperdalam pengetahuan atau materi bidang studi
17. Saya mampu berkomunikasi secara efektif dengan orang tua atau wali peserta didik
18. Saya dapat bergaul secara efektif dengan sesama pendidik/guru
19. Saya berkomunikasi secara efektif dengan peserta didik
Petunjuk penilaian Disiplin Kerja Guru :
Kuisoner dibawah ini memuat sejumlah pertanyaan tentang disiplin kerja guru. Saya mohon Bapak mengisi kolom yang tersedia berdasarkan pada pernyataan-pernyataan disiplin kerja sesuai nama responden. Adapun angka-angka yang diisikan adalah sebagai berikut.
Nama :
Disiplin (Y)
No. KETERANGAN STS TS S SS
1. Guru tersebut berusaha hadir disekolah lebih awal sebelum jam mengajar dimulai
2. Guru tersebut mencontoh keteladanan yang baik dari atasannya
3. Guru tersebut bersedia diberikan sanksi bila tidak mematuhi tata tertib
4. Guru tersebut selalu bertegur sapa kepada atasan dan sesama guru
5. Dalam bekerja guru tersebut selalu melakukan komunikasi dengan atasan setiap mengalami masalah
6. Guru tersebut diharuskan menaati peraturan yang berlaku disekolah
7. Guru tersebut selalu menjaga dan menjungjung tinggi norma-norma yang berlaku disekolah
Lampiran
Tabulasi SMK Jakarta 1 (46 Responden)
No PERTANYAAN
Kompensasi Kompetensi P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19
1 4 3 4 3 4 3 3 4 3 4 3 4 3 3 4 4 3 3 4
2 4 3 4 3 4 3 3 4 4 4 3 4 3 4 3 4 4 3 3
3 4 3 3 3 4 3 4 4 3 3 3 4 3 4 3 4 4 4 3
4 4 3 4 3 3 3 4 4 4 4 3 4 4 3 3 3 3 4 4
5 3 4 4 3 3 3 4 3 4 3 3 4 4 3 4 4 3 3 3
6 2 2 3 3 3 4 4 3 4 4 3 4 4 4 4 4 4 4 4
7 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
8 2 2 3 3 2 3 2 3 3 2 3 4 4 3 3 3 4 4 4
9 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
10 2 2 3 2 3 4 3 3 4 2 3 3 3 3 4 3 3 3 3
11 1 2 2 2 2 2 2 3 3 1 3 3 3 3 3 2 3 3 3
12 1 2 2 3 2 4 2 2 3 1 3 3 3 3 3 3 3 3 3
13 1 1 3 2 2 3 2 2 3 1 3 3 3 3 3 3 3 3 3
14 2 2 3 2 2 2 2 3 3 2 4 3 3 4 4 3 4 4 4
15 1 2 3 2 1 3 4 2 3 2 4 4 3 3 3 3 3 3 4
16 2 2 1 2 2 2 1 2 3 1 3 3 3 3 3 3 3 3 3
17 2 2 3 3 3 3 2 3 3 2 3 4 2 4 3 3 3 3 3
18 2 2 3 3 1 3 2 3 3 2 3 4 2 4 3 3 3 3 3
19 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
20 3 3 3 3 2 2 3 3 3 2 2 3 3 3 3 3 3 3 3
21 3 3 3 3 3 2 4 3 3 2 3 3 3 3 3 2 4 3 3
22 3 2 3 3 3 2 3 3 3 2 3 3 3 3 4 3 4 3 3
23 3 3 3 3 3 2 4 3 3 3 4 3 2 3 3 2 3 3 3
24 3 3 3 3 3 3 3 3 3 2 2 3 3 3 3 2 3 2 2
25 2 2 3 2 3 2 3 3 3 2 3 3 3 3 3 2 3 2 3
26 3 3 3 3 3 2 4 3 3 2 4 3 3 3 3 3 4 3 3
27 2 2 3 3 3 2 3 3 3 2 2 3 3 3 3 3 3 3 3
28 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3
29 2 2 3 2 3 2 3 3 3 2 3 3 3 3 3 2 3 2 3
30 3 2 3 3 3 2 3 2 3 2 2 3 3 3 3 2 4 2 3
31 3 3 3 3 3 3 3 3 3 2 2 3 3 3 3 2 3 2 2
32 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 4 2 3
33 3 3 3 3 2 2 3 3 3 2 2 3 3 3 3 3 3 3 3
34 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 2 3
35 3 3 3 3 3 2 4 3 3 2 3 3 3 3 3 2 4 3 3
36 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3
37 3 2 3 3 3 2 3 3 3 2 3 3 3 3 4 3 4 3 3
38 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3
39 3 4 3 3 3 4 4 3 3 3 4 4 4 4 3 3 4 3 3
40 3 3 3 3 3 2 4 3 3 3 4 3 2 3 3 2 3 3 3
41 2 2 3 3 3 4 4 3 4 4 3 4 4 4 4 4 4 4 4
42 3 4 4 3 3 3 4 3 4 3 3 4 4 3 4 4 3 3 3
43 4 3 3 4 3 4 4 4 4 4 3 4 3 4 4 4 3 4 4
44 4 3 4 3 3 3 4 4 4 4 3 4 4 3 3 3 3 4 4
45 4 3 4 4 3 3 3 3 3 4 4 4 4 3 3 3 4 4 4
46 4 3 3 3 4 3 4 4 3 3 3 4 3 4 3 4 4 4 3
No PERTANYAAN Total
Rata-rata
Kompetensi Disiplin kerja P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32 P33 P34 P35 P36 P37
1 4 4 3 3 3 4 4 4 3 3 3 4 3 4 4 3 3 4 129 3.5
2 3 3 3 4 4 4 3 3 4 3 4 4 4 4 3 3 4 4 131 3.5
3 3 3 4 4 4 3 3 3 4 4 4 4 4 4 3 3 3 4 130 3.5
4 3 4 3 3 4 3 4 3 3 4 4 4 4 3 4 3 4 3 130 3.5
5 3 3 4 3 3 4 4 3 3 3 4 4 3 4 3 3 4 3 126 3.4
6 4 4 2 3 3 4 3 4 4 4 4 4 4 4 4 3 4 4 133 3.6
7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 108 2.9
8 4 3 4 3 4 4 3 4 4 4 4 4 4 3 4 4 4 4 125 3.4
9 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 108 2.9
10 3 3 3 3 3 3 3 3 3 3 3 4 4 3 3 3 3 4 113 3.1
11 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 100 2.7
12 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 103 2.8
13 3 3 3 3 3 3 3 3 3 3 3 4 3 3 4 3 4 4 105 2.8
14 4 4 3 3 3 3 3 3 4 3 3 4 4 4 4 3 4 4 119 3.2
15 4 4 3 4 4 3 3 3 4 3 4 4 4 3 3 2 3 3 114 3.1
16 3 3 3 3 3 3 3 3 3 3 3 4 4 4 3 3 2 3 101 2.7
17 4 3 3 3 3 4 3 4 3 3 3 3 3 3 3 3 2 3 110 3.0
18 4 3 3 3 3 4 3 4 3 3 3 4 3 3 2 2 3 3 108 2.9
19 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 110 3.0
20 3 3 3 3 3 2 2 3 3 3 3 3 3 3 3 3 3 3 105 2.8
21 3 3 3 3 3 3 2 3 3 3 3 4 4 3 3 4 4 4 114 3.1
22 3 3 3 3 3 3 3 3 3 3 3 4 3 2 3 2 3 3 109 2.9
23 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 2 3 3 108 2.9
24 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 3 104 2.8
25 3 3 3 3 3 3 2 2 3 3 3 4 3 3 3 3 3 3 103 2.8
26 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 3 3 111 3.0
27 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 107 2.9
28 3 3 3 3 3 3 3 3 3 3 3 4 3 2 3 2 3 3 108 2.9
29 3 3 3 3 3 3 2 2 3 3 3 3 3 2 3 2 2 3 99 2.7
30 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 4 3 3 107 2.9
31 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 106 2.9
32 3 3 3 3 3 3 2 3 3 3 3 4 4 3 4 4 4 4 115 3.1
33 3 3 3 3 3 2 2 3 3 3 3 4 3 4 4 4 4 4 111 3.0
34 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 108 2.9
35 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 2 2 3 107 2.9
36 3 3 3 3 3 2 2 3 3 3 3 2 3 3 3 3 3 3 106 2.9
37 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 3 3 108 2.9
38 3 3 3 3 3 2 2 3 3 3 3 4 4 4 4 3 2 4 111 3.0
39 4 3 4 3 3 4 3 3 4 3 4 3 3 3 3 3 3 3 124 3.4
40 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 110 3.0
41 4 4 2 3 3 4 3 4 4 4 4 4 4 3 4 4 3 3 131 3.5
42 3 3 4 3 3 4 4 3 3 3 4 4 3 3 2 2 3 3 122 3.3
43 3 3 3 3 3 4 4 4 4 4 3 3 3 3 3 3 2 3 128 3.5
44 3 4 3 3 4 3 4 3 3 4 3 4 4 4 3 3 2 3 127 3.4
45 4 4 3 3 3 4 4 3 4 3 4 4 4 3 3 2 3 3 128 3.5
46 3 3 4 4 4 3 3 3 4 4 4 4 4 4 4 3 4 4 132 3.6
Lampiran
Tabulasi SMA Cengkareng 1 (33 Responden)
No PERTANYAAN
Kompensasi Kompetensi P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19
1 4 3 3 4 4 4 3 3 4 3 3 4 3 4 3 4 4 3 3 2 4 4 3 3 4 4 3 3 3 3 4 4 4 4 3 3 4 4 3 3 4 3 3 4 3 4 3 3 4 3 4 4 4 3 4 3 3 4 3 4 4 3 4 4 3 3 3 3 3 4 4 4 4 3 3 3 4 4 4 5 4 3 3 4 3 4 4 4 4 4 3 4 3 4 4 4 3 4 4 6 3 4 3 3 3 4 4 3 3 3 4 4 4 4 3 3 4 3 3 7 2 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 8 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 9 2 2 3 3 3 4 3 2 3 2 2 4 4 3 3 3 3 3 3
10 3 3 3 3 3 3 3 3 3 2 4 4 3 4 3 3 3 3 3 11 3 3 3 3 3 3 3 3 3 3 4 4 4 3 4 3 4 4 4 12 1 2 3 2 3 2 3 3 3 2 2 4 3 3 3 3 3 3 3 13 2 2 3 1 1 4 4 2 3 3 3 3 3 4 3 3 3 3 3 14 2 3 2 2 2 4 2 3 3 1 4 3 4 4 3 3 4 3 3 15 2 2 3 3 3 2 2 3 3 2 3 3 3 3 3 3 3 3 3 16 3 3 3 3 3 3 3 3 3 3 4 3 3 4 4 3 4 4 3 17 1 2 3 2 3 3 3 2 3 4 3 4 3 4 3 3 3 3 3 18 2 2 2 2 3 4 1 2 3 1 3 4 4 4 4 3 3 3 4 19 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 20 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 21 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 2 3 22 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3
23 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3 24 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 4 2 3 25 3 2 3 3 3 2 3 2 3 2 2 3 3 3 3 2 4 2 3 26 3 3 3 3 3 2 4 3 3 2 2 3 3 3 3 3 3 3 3 27 2 3 3 3 2 2 3 2 3 2 2 3 3 3 2 3 3 3 3 28 2 2 3 3 2 3 2 3 3 2 3 4 4 3 3 3 4 4 4 29 4 3 3 4 4 4 3 3 4 3 3 4 3 4 3 4 4 3 3 30 4 3 4 3 4 3 3 4 3 4 3 4 3 3 4 4 3 3 4 31 4 4 3 3 4 4 3 3 3 3 4 4 4 4 3 3 4 4 3 32 4 3 4 3 4 3 3 4 4 4 3 4 3 4 3 4 4 3 3 33 4 3 3 4 3 4 3 3 4 3 4 4 4 3 4 3 3 4 3
No PERTANYAAN Total Rata‐
rata Kompetensi Disiplin kerja
P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32 P33 P34 P35 P36 P37 1 3 4 4 4 3 3 3 3 4 4 4 4 4 3 4 4 3 3 130 3.5 2 3 4 3 3 4 4 4 3 4 3 3 4 4 3 4 3 3 3 129 3.5 3 3 4 4 3 4 3 3 3 3 4 4 4 4 3 3 4 3 4 129 3.5 4 4 4 3 3 3 4 4 3 4 3 4 4 3 4 3 4 3 4 131 3.5 5 3 3 3 3 3 4 4 4 4 4 3 4 3 3 4 3 3 4 132 3.6 6 4 3 4 3 3 4 3 3 4 3 4 4 3 4 3 4 3 4 128 3.5 7 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 109 2.9 8 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 108 2.9 9 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 109 2.9
10 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 3 3 3 120 3.2 11 4 4 3 3 4 4 4 4 4 3 4 4 3 3 4 4 4 4 131 3.5 12 3 3 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 3 106 2.9 13 4 3 3 3 3 3 3 3 3 4 4 4 4 3 4 4 4 4 116 3.1 14 3 3 4 4 3 4 4 3 4 4 4 4 3 4 4 4 4 4 122 3.3 15 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 106 2.9 16 4 4 3 3 3 4 3 4 4 4 4 3 3 3 3 2 2 3 121 3.3 17 4 3 3 3 3 3 3 3 3 3 3 2 3 3 3 3 3 3 109 2.9 18 3 3 1 3 3 4 3 4 2 3 4 3 3 3 2 2 3 3 106 2.9 19 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 3 2 3 114 3.1 20 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 109 2.9 21 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 4 4 110 3.0 22 3 3 3 3 3 2 2 3 3 3 3 2 2 3 3 3 3 3 105 2.8 23 3 3 3 3 3 2 2 3 3 3 3 3 3 2 3 3 3 3 106 2.9 24 3 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 109 2.9 25 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 105 2.8
26 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 109 2.9 27 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 104 2.8 28 4 3 4 3 4 4 3 4 4 4 4 3 3 2 3 2 3 3 117 3.2 29 3 4 4 4 3 3 3 3 4 4 4 3 3 3 3 3 3 3 126 3.4 30 4 4 3 3 3 4 4 4 3 3 4 4 3 3 3 3 3 3 127 3.4 31 3 4 3 3 4 4 4 3 4 3 3 3 3 3 3 3 3 3 126 3.4 32 3 3 3 4 4 4 3 3 4 3 4 3 3 3 3 3 3 3 126 3.4 33 3 4 4 3 4 3 3 3 3 4 4 4 3 3 4 3 4 4 129 3.5
LAMPIRAN
HASIL Software UJI VALIDITAS
SMK JAKARTA 1
Correlations
p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p1 Pearson
Correlation 1 ,693** ,592** ,634** ,661** -.047 ,524** ,729** .239 ,607** -.069 ,325*
Sig. (2-tailed) .000 .000 .000 .000 .759 .000 .000 .109 .000 .647 .028
N 46 46 46 46 46 46 46 46 46 46 46 46
p2 Pearson Correlation ,693** 1 ,498** ,503** ,419** .026 ,606** ,451** .215 ,424** .013 .256
Sig. (2-tailed) .000 .000 .000 .004 .865 .000 .002 .151 .003 .934 .086
N 46 46 46 46 46 46 46 46 46 46 46 46
p3 Pearson Correlation ,592** ,498** 1 ,352* ,370* .128 ,479** ,521** ,461** ,585** .068 ,523**
Sig. (2-tailed) .000 .000 .017 .011 .398 .001 .000 .001 .000 .655 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p4 Pearson Correlation ,634** ,503** ,352* 1 ,378** .224 ,394** ,407** .144 ,553** -.104 ,324*
Sig. (2-tailed) .000 .000 .017 .010 .134 .007 .005 .341 .000 .491 .028
N 46 46 46 46 46 46 46 46 46 46 46 46
p5 Pearson Correlation ,661** ,419** ,370* ,378** 1 .078 ,472** ,628** .221 ,545** -.078 .139
Sig. (2-tailed) .000 .004 .011 .010 .607 .001 .000 .140 .000 .605 .359
N 46 46 46 46 46 46 46 46 46 46 46 46
p6 Pearson Correlation -.047 .026 .128 .224 .078 1 .083 .162 ,537** ,432** .182 ,601**
Sig. (2-tailed) .759 .865 .398 .134 .607 .583 .282 .000 .003 .225 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p7 Pearson Correlation ,524** ,606** ,479** ,394** ,472** .083 1 ,416** ,355* ,541** .068 .249
Sig. (2-tailed) .000 .000 .001 .007 .001 .583 .004 .015 .000 .653 .095
N 46 46 46 46 46 46 46 46 46 46 46 46
p8 Pearson Correlation ,729** ,451** ,521** ,407** ,628** .162 ,416** 1 ,389** ,681** .006 ,466**
Sig. (2-tailed) .000 .002 .000 .005 .000 .282 .004 .008 .000 .967 .001
N 46 46 46 46 46 46 46 46 46 46 46 46
p9 Pearson Correlation .239 .215 ,461** .144 .221 ,537** ,355* ,389** 1 ,593** .036 ,531**
Sig. (2-tailed) .109 .151 .001 .341 .140 .000 .015 .008 .000 .810 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p10 Pearson Correlation ,607** ,424** ,585** ,553** ,545** ,432** ,541** ,681** ,593** 1 .252 ,641**
Sig. (2-tailed) .000 .003 .000 .000 .000 .003 .000 .000 .000 .091 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p11 Pearson Correlation -.069 .013 .068 -.104 -.078 .182 .068 .006 .036 .252 1 .286
Sig. (2-tailed) .647 .934 .655 .491 .605 .225 .653 .967 .810 .091 .054
N 46 46 46 46 46 46 46 46 46 46 46 46
p12 Pearson Correlation ,325* .256 ,523** ,324* .139 ,601** .249 ,466** ,531** ,641** .286 1
Sig. (2-tailed) .028 .086 .000 .028 .359 .000 .095 .001 .000 .000 .054
N 46 46 46 46 46 46 46 46 46 46 46 46
p13 Pearson Correlation .172 .257 ,358* .154 .123 ,396** .264 .146 ,529** ,404** .015 ,446**
Sig. (2-tailed) .254 .084 .015 .306 .416 .006 .076 .332 .000 .005 .919 .002
N 46 46 46 46 46 46 46 46 46 46 46 46
p14 Pearson Correlation .126 -.007 .072 .154 .144 ,463** .056 ,369* .271 ,360* .218 ,579**
Sig. (2-tailed) .405 .962 .633 .308 .339 .001 .712 .012 .068 .014 .145 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p15 Pearson Correlation .064 -.007 .257 .036 .144 ,310* .124 .162 ,537** ,300* .129 .252
Sig. (2-tailed) .672 .962 .085 .813 .339 .036 .413 .282 .000 .043 .394 .092
N 46 46 46 46 46 46 46 46 46 46 46 46
p16 Pearson Correlation .265 .190 ,298* ,293* .257 ,527** .184 ,402** ,529** ,520** .055 ,657**
Sig. (2-tailed) .076 .205 .044 .048 .085 .000 .222 .006 .000 .000 .716 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p17 Pearson Correlation .260 .019 .132 .213 .271 .058 .148 .117 -.015 .156 .287 .197
Sig. (2-tailed) .082 .903 .381 .156 .068 .703 .326 .439 .921 .301 .053 .189
N 46 46 46 46 46 46 46 46 46 46 46 46
p18 Pearson Correlation .206 .010 .185 .272 .030 ,362* .201 ,415** ,400** ,471** ,314* ,588**
Sig. (2-tailed) .169 .949 .218 .067 .846 .014 .180 .004 .006 .001 .034 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p19 Pearson Correlation .076 -.132 ,304* .106 -.114 ,292* .132 .236 ,392** ,515** ,412** ,567**
Sig. (2-tailed) .616 .382 .040 .485 .449 .049 .383 .114 .007 .000 .004 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p20 Pearson Correlation -.182 -.171 .165 .036 -.270 ,387** -.147 -.045 .006 .240 ,397** ,579**
Sig. (2-tailed) .226 .255 .274 .813 .069 .008 .329 .766 .970 .108 .006 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p21 Pearson Correlation .096 -.078 ,385** .006 -.055 .287 .167 .186 ,352* ,522** ,326* ,480**
Sig. (2-tailed) .525 .608 .008 .971 .717 .054 .268 .215 .016 .000 .027 .001
N 46 46 46 46 46 46 46 46 46 46 46 46
p22 Pearson Correlation .262 ,462** .179 .062 .142 .017 .077 .191 -.105 -.061 .106 .278
Sig. (2-tailed) .078 .001 .235 .682 .346 .911 .609 .203 .487 .689 .482 .061
N 46 46 46 46 46 46 46 46 46 46 46 46
p23 Pearson Correlation .200 .068 .123 -.082 .206 .137 .211 .277 .042 .176 .154 ,403**
Sig. (2-tailed) .183 .654 .414 .586 .170 .365 .159 .063 .780 .243 .307 .005
N 46 46 46 46 46 46 46 46 46 46 46 46
p24 Pearson Correlation ,292* .070 ,302* -.012 .116 .188 .193 ,440** .249 ,310* .134 ,553**
Sig. (2-tailed) .049 .645 .041 .938 .443 .212 .199 .002 .096 .036 .374 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p25 Pearson Correlation .065 .068 ,326* .262 .145 ,586** -.037 .201 ,431** ,483** ,416** ,723**
Sig. (2-tailed) .670 .654 .027 .078 .336 .000 .809 .180 .003 .001 .004 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p26 Pearson Correlation .256 .158 ,382** .290 .140 ,475** .076 ,292* ,507** ,512** ,298* ,604**
Sig. (2-tailed) .086 .293 .009 .051 .353 .001 .614 .049 .000 .000 .044 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p27 Pearson Correlation .031 -.082 .079 ,414** -.090 ,481** -.071 .178 .258 ,317* .019 ,541**
Sig. (2-tailed) .839 .586 .601 .004 .551 .001 .640 .238 .083 .032 .902 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p28 Pearson Correlation .140 .024 .157 .163 .073 ,471** .171 .253 .237 ,435** ,388** ,627**
Sig. (2-tailed) .354 .873 .297 .278 .629 .001 .256 .090 .112 .003 .008 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p29 Pearson Correlation ,297* .012 .184 .262 .216 ,453** ,314* ,524** ,497** ,522** .034 ,599**
Sig. (2-tailed) .045 .939 .222 .079 .150 .002 .033 .000 .000 .000 .823 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p30 Pearson Correlation .211 .285 ,411** .173 .162 ,479** ,343* .241 ,456** ,507** ,296* ,776**
Sig. (2-tailed) .159 .055 .005 .250 .281 .001 .020 .107 .001 .000 .045 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p31 Pearson Correlation .090 -.115 ,314* -.145 -.030 .112 -.034 .069 ,297* .138 .009 ,368*
Sig. (2-tailed) .551 .447 .033 .335 .841 .457 .823 .648 .045 .360 .953 .012
N 46 46 46 46 46 46 46 46 46 46 46 46
p32 Pearson Correlation .153 -.053 .132 -.093 .056 .257 .089 .207 ,330* .260 .209 ,386**
Sig. (2-tailed) .310 .729 .381 .538 .711 .085 .555 .168 .025 .081 .163 .008
N 46 46 46 46 46 46 46 46 46 46 46 46
p33 Pearson Correlation .237 .169 .128 -.008 .138 .180 -.026 .287 .262 .247 -.047 ,361*
Sig. (2-tailed) .113 .263 .397 .960 .361 .232 .861 .053 .079 .098 .758 .014
N 46 46 46 46 46 46 46 46 46 46 46 46
p34 Pearson Correlation .021 -.121 .060 -.089 .091 .147 .014 .135 .046 .142 -.046 .090
Sig. (2-tailed) .889 .423 .691 .558 .548 .329 .927 .372 .764 .347 .761 .553
N 46 46 46 46 46 46 46 46 46 46 46 46
p35 Pearson Correlation -.034 -.075 -.116 .017 .053 .164 -.123 .018 .105 .040 -.257 .016
Sig. (2-tailed) .821 .622 .441 .909 .724 .276 .415 .904 .487 .790 .084 .916
N 46 46 46 46 46 46 46 46 46 46 46 46
p36 Pearson Correlation -.003 .009 .234 -.046 -.026 .095 .015 .058 .121 .097 .123 .133
Sig. (2-tailed) .982 .952 .117 .760 .866 .532 .920 .701 .423 .522 .415 .377
N 46 46 46 46 46 46 46 46 46 46 46 46
p37 Pearson Correlation .110 -.069 .145 -.141 .172 .137 -.051 .231 .056 .027 -.036 .120
Sig. (2-tailed) .466 .650 .335 .351 .254 .362 .735 .122 .714 .856 .814 .429
N 46 46 46 46 46 46 46 46 46 46 46 46
total Pearson Correlation ,536** ,371* ,593** ,417** ,412** ,556** ,436** ,626** ,613** ,793** ,420** ,655**
Sig. (2-tailed) .000 .011 .000 .004 .004 .000 .002 .000 .000 .000 .058 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
p13 p14 p15 p16 p17 p18 p19 p20 p21 p22 p23 p24 p25 p26 p1 Pearson
Correlation .172 .126 .064 .265 .260 .206 .076 -.182 .096 .262 .200 ,292* .065 .256
Sig. (2-tailed) .254 .405 .672 .076 .082 .169 .616 .226 .525 .078 .183 .049 .670 .086
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p2 Pearson Correlation .257 -.007 -.007 .190 .019 .010 -.132 -.171 -.078 ,462** .068 .070 .068 .158
Sig. (2-tailed) .084 .962 .962 .205 .903 .949 .382 .255 .608 .001 .654 .645 .654 .293
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p3 Pearson Correlation ,358* .072 .257 ,298* .132 .185 ,304* .165 ,385** .179 .123 ,302* ,326* ,382**
Sig. (2-tailed) .015 .633 .085 .044 .381 .218 .040 .274 .008 .235 .414 .041 .027 .009
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p4 Pearson Correlation .154 .154 .036 ,293* .213 .272 .106 .036 .006 .062 -.082 -.012 .262 .290
Sig. (2-tailed) .306 .308 .813 .048 .156 .067 .485 .813 .971 .682 .586 .938 .078 .051
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p5 Pearson Correlation .123 .144 .144 .257 .271 .030 -.114 -.270 -.055 .142 .206 .116 .145 .140
Sig. (2-tailed) .416 .339 .339 .085 .068 .846 .449 .069 .717 .346 .170 .443 .336 .353
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p6 Pearson Correlation ,396** ,463** ,310* ,527** .058 ,362* ,292* ,387** .287 .017 .137 .188 ,586** ,475**
Sig. (2-tailed) .006 .001 .036 .000 .703 .014 .049 .008 .054 .911 .365 .212 .000 .001
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p7 Pearson Correlation .264 .056 .124 .184 .148 .201 .132 -.147 .167 .077 .211 .193 -.037 .076
Sig. (2-tailed) .076 .712 .413 .222 .326 .180 .383 .329 .268 .609 .159 .199 .809 .614
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p8 Pearson Correlation .146 ,369* .162 ,402** .117 ,415** .236 -.045 .186 .191 .277 ,440** .201 ,292*
Sig. (2-tailed) .332 .012 .282 .006 .439 .004 .114 .766 .215 .203 .063 .002 .180 .049
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p9 Pearson Correlation ,529** .271 ,537** ,529** -.015 ,400** ,392** .006 ,352* -.105 .042 .249 ,431** ,507**
Sig. (2-tailed) .000 .068 .000 .000 .921 .006 .007 .970 .016 .487 .780 .096 .003 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p10 Pearson Correlation ,404** ,360* ,300* ,520** .156 ,471** ,515** .240 ,522** -.061 .176 ,310* ,483** ,512**
Sig. (2-tailed) .005 .014 .043 .000 .301 .001 .000 .108 .000 .689 .243 .036 .001 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p11 Pearson Correlation .015 .218 .129 .055 .287 ,314* ,412** ,397** ,326* .106 .154 .134 ,416** ,298*
Sig. (2-tailed) .919 .145 .394 .716 .053 .034 .004 .006 .027 .482 .307 .374 .004 .044
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p12 Pearson Correlation ,446** ,579** .252 ,657** .197 ,588** ,567** ,579** ,480** .278 ,403** ,553** ,723** ,604**
Sig. (2-tailed) .002 .000 .092 .000 .189 .000 .000 .000 .001 .061 .005 .000 .000 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p13 Pearson Correlation 1 -.009 ,295* ,397** .286 ,392** ,446** .194 ,455** .160 -.064 .260 ,306* ,368*
Sig. (2-tailed) .954 .047 .006 .054 .007 .002 .197 .001 .287 .670 .080 .038 .012
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p14 Pearson Correlation -.009 1 .233 ,510** ,390** ,466** .248 ,489** .175 .017 ,398** .217 ,492** .144
Sig. (2-tailed) .954 .119 .000 .007 .001 .096 .001 .244 .911 .006 .148 .001 .339
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p15 Pearson Correlation ,295* .233 1 ,510** .168 ,292* ,358* .233 ,314* -.112 -.163 -.223 ,398** ,406**
Sig. (2-tailed) .047 .119 .000 .263 .049 .015 .119 .033 .457 .280 .136 .006 .005
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p16 Pearson Correlation ,397** ,510** ,510** 1 .167 ,564** ,435** .264 .283 .173 ,371* ,297* ,431** ,444**
Sig. (2-tailed) .006 .000 .000 .268 .000 .003 .076 .056 .250 .011 .045 .003 .002
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p17 Pearson Correlation .286 ,390** .168 .167 1 ,299* .211 .279 .147 .068 .261 .199 .261 -.072
Sig. (2-tailed) .054 .007 .263 .268 .044 .160 .060 .331 .653 .080 .185 .080 .633
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p18 Pearson Correlation ,392** ,466** ,292* ,564** ,299* 1 ,710** ,379** ,520** .065 .222 ,455** .286 ,488**
Sig. (2-tailed) .007 .001 .049 .000 .044 .000 .009 .000 .667 .138 .001 .054 .001
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p19 Pearson Correlation ,446** .248 ,358* ,435** .211 ,710** 1 ,577** ,789** -.188 .049 ,351* ,370* ,414**
Sig. (2-tailed) .002 .096 .015 .003 .160 .000 .000 .000 .210 .747 .017 .011 .004
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p20 Pearson Correlation .194 ,489** .233 .264 .279 ,379** ,577** 1 ,592** -.112 .024 .070 ,586** .231
Sig. (2-tailed) .197 .001 .119 .076 .060 .009 .000 .000 .457 .872 .643 .000 .122
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p21 Pearson Correlation ,455** .175 ,314* .283 .147 ,520** ,789** ,592** 1 -,379** .062 .285 .265 ,429**
Sig. (2-tailed) .001 .244 .033 .056 .331 .000 .000 .000 .009 .683 .055 .075 .003
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p22 Pearson Correlation .160 .017 -.112 .173 .068 .065 -.188 -.112 -,379** 1 ,313* ,355* .123 .199
Sig. (2-tailed) .287 .911 .457 .250 .653 .667 .210 .457 .009 .034 .016 .414 .184
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p23 Pearson Correlation -.064 ,398** -.163 ,371* .261 .222 .049 .024 .062 ,313* 1 ,728** .042 .033
Sig. (2-tailed) .670 .006 .280 .011 .080 .138 .747 .872 .683 .034 .000 .783 .826
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p24 Pearson Correlation .260 .217 -.223 ,297* .199 ,455** ,351* .070 .285 ,355* ,728** 1 .084 .246
Sig. (2-tailed) .080 .148 .136 .045 .185 .001 .017 .643 .055 .016 .000 .579 .099
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p25 Pearson Correlation ,306* ,492** ,398** ,431** .261 .286 ,370* ,586** .265 .123 .042 .084 1 ,608**
Sig. (2-tailed) .038 .001 .006 .003 .080 .054 .011 .000 .075 .414 .783 .579 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p26 Pearson Correlation ,368* .144 ,406** ,444** -.072 ,488** ,414** .231 ,429** .199 .033 .246 ,608** 1
Sig. (2-tailed) .012 .339 .005 .002 .633 .001 .004 .122 .003 .184 .826 .099 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p27 Pearson Correlation .044 ,481** ,358* ,482** .134 ,476** ,436** ,604** .285 -.178 -.078 .034 ,552** ,363*
Sig. (2-tailed) .769 .001 .015 .001 .374 .001 .002 .000 .055 .236 .605 .824 .000 .013
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p28 Pearson Correlation ,373* ,693** .199 ,495** ,554** ,614** ,540** ,569** ,415** .130 ,550** ,472** ,460** .229
Sig. (2-tailed) .011 .000 .185 .000 .000 .000 .000 .000 .004 .388 .000 .001 .001 .126
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p29 Pearson Correlation ,455** ,453** .175 ,462** .267 ,710** ,550** .175 ,395** .043 .265 ,604** .265 ,334*
Sig. (2-tailed) .001 .002 .244 .001 .073 .000 .000 .244 .007 .778 .075 .000 .075 .023
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p30 Pearson Correlation ,637** ,407** .167 ,560** ,398** ,509** ,403** ,407** ,380** ,359* ,519** ,575** ,519** ,392**
Sig. (2-tailed) .000 .005 .267 .000 .006 .000 .005 .005 .009 .014 .000 .000 .000 .007
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p31 Pearson Correlation ,324* .132 .230 ,350* .251 .288 ,377** .230 ,371* .073 .249 ,343* .249 .247
Sig. (2-tailed) .028 .382 .124 .017 .093 .052 .010 .124 .011 .629 .094 .020 .094 .098
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p32 Pearson Correlation ,374* .279 .058 ,309* ,425** ,525** ,496** .279 ,508** -.044 ,423** ,580** .099 .079
Sig. (2-tailed) .011 .060 .703 .037 .003 .000 .000 .060 .000 .773 .003 .000 .514 .603
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p33 Pearson Correlation .246 ,333* .142 ,501** .130 ,362* .229 .142 .290 .135 ,335* ,323* .055 .161
Sig. (2-tailed) .100 .024 .348 .000 .390 .013 .126 .348 .051 .372 .023 .029 .717 .287
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p34 Pearson Correlation .250 .127 .026 .205 .193 ,308* ,398** .228 ,395** -.173 .045 .206 -.103 -.102
Sig. (2-tailed) .094 .401 .862 .171 .198 .038 .006 .128 .007 .251 .767 .169 .498 .502
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p35 Pearson Correlation .181 .112 -.060 .103 .156 .082 .151 .026 .004 -.042 -.060 .090 -.060 -.199
Sig. (2-tailed) .228 .457 .692 .494 .301 .589 .316 .863 .979 .783 .691 .551 .691 .184
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p36 Pearson Correlation .240 .111 .111 .268 ,354* .214 .175 .111 .133 .145 .210 .241 .089 .011
Sig. (2-tailed) .108 .462 .462 .072 .016 .153 .243 .462 .380 .336 .162 .107 .556 .942
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
p37 Pearson Correlation .054 .254 .137 ,322* ,353* .252 .175 .137 .094 .103 ,320* .272 -.022 -.172
Sig. (2-tailed) .719 .088 .362 .029 .016 .091 .245 .362 .534 .496 .030 .068 .883 .253
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
total Pearson Correlation ,573** ,542** ,396** ,728** ,437** ,704** ,627** ,412** ,552** ,399** ,382** ,535** ,565** ,544**
Sig. (2-tailed) .000 .000 .006 .000 .002 .000 .000 .004 .000 .180 .009 .000 .000 .000
N 46 46 46 46 46 46 46 46 46 46 46 46 46 46
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
p27 p28 p29 p30 p31 p32 p33 p34 p35 p36 p37 total p1 Pearson
Correlation .031 .140 ,297* .211 .090 .153 .237 .021 -.034 -.003 .110 ,536**
Sig. (2-tailed) .839 .354 .045 .159 .551 .310 .113 .889 .821 .982 .466 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p2 Pearson Correlation -.082 .024 .012 .285 -.115 -.053 .169 -.121 -.075 .009 -.069 ,371*
Sig. (2-tailed) .586 .873 .939 .055 .447 .729 .263 .423 .622 .952 .650 .011
N 46 46 46 46 46 46 46 46 46 46 46 46
p3 Pearson Correlation .079 .157 .184 ,411** ,314* .132 .128 .060 -.116 .234 .145 ,593**
Sig. (2-tailed) .601 .297 .222 .005 .033 .381 .397 .691 .441 .117 .335 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p4 Pearson Correlation ,414** .163 .262 .173 -.145 -.093 -.008 -.089 .017 -.046 -.141 ,417**
Sig. (2-tailed) .004 .278 .079 .250 .335 .538 .960 .558 .909 .760 .351 .004
N 46 46 46 46 46 46 46 46 46 46 46 46
p5 Pearson Correlation -.090 .073 .216 .162 -.030 .056 .138 .091 .053 -.026 .172 ,412**
Sig. (2-tailed) .551 .629 .150 .281 .841 .711 .361 .548 .724 .866 .254 .004
N 46 46 46 46 46 46 46 46 46 46 46 46
p6 Pearson Correlation ,481** ,471** ,453** ,479** .112 .257 .180 .147 .164 .095 .137 ,556**
Sig. (2-tailed) .001 .001 .002 .001 .457 .085 .232 .329 .276 .532 .362 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p7 Pearson Correlation -.071 .171 ,314* ,343* -.034 .089 -.026 .014 -.123 .015 -.051 ,436**
Sig. (2-tailed) .640 .256 .033 .020 .823 .555 .861 .927 .415 .920 .735 .002
N 46 46 46 46 46 46 46 46 46 46 46 46
p8 Pearson Correlation .178 .253 ,524** .241 .069 .207 .287 .135 .018 .058 .231 ,626**
Sig. (2-tailed) .238 .090 .000 .107 .648 .168 .053 .372 .904 .701 .122 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p9 Pearson Correlation .258 .237 ,497** ,456** ,297* ,330* .262 .046 .105 .121 .056 ,613**
Sig. (2-tailed) .083 .112 .000 .001 .045 .025 .079 .764 .487 .423 .714 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p10 Pearson Correlation ,317* ,435** ,522** ,507** .138 .260 .247 .142 .040 .097 .027 ,793**
Sig. (2-tailed) .032 .003 .000 .000 .360 .081 .098 .347 .790 .522 .856 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p11 Pearson Correlation .019 ,388** .034 ,296* .009 .209 -.047 -.046 -.257 .123 -.036 ,420**
Sig. (2-tailed) .902 .008 .823 .045 .953 .163 .758 .761 .084 .415 .814 .058
N 46 46 46 46 46 46 46 46 46 46 46 46
p12 Pearson Correlation ,541** ,627** ,599** ,776** ,368* ,386** ,361* .090 .016 .133 .120 ,655**
Sig. (2-tailed) .000 .000 .000 .000 .012 .008 .014 .553 .916 .377 .429 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p13 Pearson Correlation .044 ,373* ,455** ,637** ,324* ,374* .246 .250 .181 .240 .054 ,573**
Sig. (2-tailed) .769 .011 .001 .000 .028 .011 .100 .094 .228 .108 .719 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p14 Pearson Correlation ,481** ,693** ,453** ,407** .132 .279 ,333* .127 .112 .111 .254 ,542**
Sig. (2-tailed) .001 .000 .002 .005 .382 .060 .024 .401 .457 .462 .088 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p15 Pearson Correlation ,358* .199 .175 .167 .230 .058 .142 .026 -.060 .111 .137 ,396**
Sig. (2-tailed) .015 .185 .244 .267 .124 .703 .348 .862 .692 .462 .362 .006
N 46 46 46 46 46 46 46 46 46 46 46 46
p16 Pearson Correlation ,482** ,495** ,462** ,560** ,350* ,309* ,501** .205 .103 .268 ,322* ,728**
Sig. (2-tailed) .001 .000 .001 .000 .017 .037 .000 .171 .494 .072 .029 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p17 Pearson Correlation .134 ,554** .267 ,398** .251 ,425** .130 .193 .156 ,354* ,353* ,437**
Sig. (2-tailed) .374 .000 .073 .006 .093 .003 .390 .198 .301 .016 .016 .002
N 46 46 46 46 46 46 46 46 46 46 46 46
p18 Pearson Correlation ,476** ,614** ,710** ,509** .288 ,525** ,362* ,308* .082 .214 .252 ,704**
Sig. (2-tailed) .001 .000 .000 .000 .052 .000 .013 .038 .589 .153 .091 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p19 Pearson Correlation ,436** ,540** ,550** ,403** ,377** ,496** .229 ,398** .151 .175 .175 ,627**
Sig. (2-tailed) .002 .000 .000 .005 .010 .000 .126 .006 .316 .243 .245 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p20 Pearson Correlation ,604** ,569** .175 ,407** .230 .279 .142 .228 .026 .111 .137 ,412**
Sig. (2-tailed) .000 .000 .244 .005 .124 .060 .348 .128 .863 .462 .362 .004
N 46 46 46 46 46 46 46 46 46 46 46 46
p21 Pearson Correlation .285 ,415** ,395** ,380** ,371* ,508** .290 ,395** .004 .133 .094 ,552**
Sig. (2-tailed) .055 .004 .007 .009 .011 .000 .051 .007 .979 .380 .534 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p22 Pearson Correlation -.178 .130 .043 ,359* .073 -.044 .135 -.173 -.042 .145 .103 ,399**
Sig. (2-tailed) .236 .388 .778 .014 .629 .773 .372 .251 .783 .336 .496 .180
N 46 46 46 46 46 46 46 46 46 46 46 46
p23 Pearson Correlation -.078 ,550** .265 ,519** .249 ,423** ,335* .045 -.060 .210 ,320* ,382**
Sig. (2-tailed) .605 .000 .075 .000 .094 .003 .023 .767 .691 .162 .030 .009
N 46 46 46 46 46 46 46 46 46 46 46 46
p24 Pearson Correlation .034 ,472** ,604** ,575** ,343* ,580** ,323* .206 .090 .241 .272 ,535**
Sig. (2-tailed) .824 .001 .000 .000 .020 .000 .029 .169 .551 .107 .068 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p25 Pearson Correlation ,552** ,460** .265 ,519** .249 .099 .055 -.103 -.060 .089 -.022 ,565**
Sig. (2-tailed) .000 .001 .075 .000 .094 .514 .717 .498 .691 .556 .883 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p26 Pearson Correlation ,363* .229 ,334* ,392** .247 .079 .161 -.102 -.199 .011 -.172 ,544**
Sig. (2-tailed) .013 .126 .023 .007 .098 .603 .287 .502 .184 .942 .253 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p27 Pearson Correlation 1 ,333* ,419** .196 .111 .134 .206 .206 .220 .053 .179 ,455**
Sig. (2-tailed) .024 .004 .192 .464 .374 .169 .169 .142 .724 .235 .001
N 46 46 46 46 46 46 46 46 46 46 46 46
p28 Pearson Correlation ,333* 1 ,550** ,712** .264 ,554** ,308* ,300* .120 .262 ,327* ,699**
Sig. (2-tailed) .024 .000 .000 .077 .000 .037 .042 .429 .079 .026 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p29 Pearson Correlation ,419** ,550** 1 ,511** .264 ,508** .290 ,395** .285 .133 .222 ,693**
Sig. (2-tailed) .004 .000 .000 .076 .000 .051 .007 .055 .380 .139 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p30 Pearson Correlation .196 ,712** ,511** 1 ,388** ,502** .285 .181 .046 ,404** .177 ,612**
Sig. (2-tailed) .192 .000 .000 .008 .000 .054 .229 .763 .005 .240 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p31 Pearson Correlation .111 .264 .264 ,388** 1 ,590** ,370* ,346* .224 ,399** ,507** ,456**
Sig. (2-tailed) .464 .077 .076 .008 .000 .011 .019 .134 .006 .000 .001
N 46 46 46 46 46 46 46 46 46 46 46 46
p32 Pearson Correlation .134 ,554** ,508** ,502** ,590** 1 ,462** ,455** ,305* .282 ,555** ,572**
Sig. (2-tailed) .374 .000 .000 .000 .000 .001 .001 .039 .057 .000 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p33 Pearson Correlation .206 ,308* .290 .285 ,370* ,462** 1 ,361* ,382** .219 ,528** ,493**
Sig. (2-tailed) .169 .037 .051 .054 .011 .001 .014 .009 .144 .000 .000
N 46 46 46 46 46 46 46 46 46 46 46 46
p34 Pearson Correlation .206 ,300* ,395** .181 ,346* ,455** ,361* 1 ,546** ,421** ,621** ,367*
Sig. (2-tailed) .169 .042 .007 .229 .019 .001 .014 .000 .004 .000 .012
N 46 46 46 46 46 46 46 46 46 46 46 46
p35 Pearson Correlation .220 .120 .285 .046 .224 ,305* ,382** ,546** 1 ,411** ,449** ,372*
Sig. (2-tailed) .142 .429 .055 .763 .134 .039 .009 .000 .005 .002 .147
N 46 46 46 46 46 46 46 46 46 46 46 46
p36 Pearson Correlation .053 .262 .133 ,404** ,399** .282 .219 ,421** ,411** 1 ,540** ,374*
Sig. (2-tailed) .724 .079 .380 .005 .006 .057 .144 .004 .005 .000 .011
N 46 46 46 46 46 46 46 46 46 46 46 46
p37 Pearson Correlation .179 ,327* .222 .177 ,507** ,555** ,528** ,621** ,449** ,540** 1 ,398**
Sig. (2-tailed) .235 .026 .139 .240 .000 .000 .000 .000 .002 .000 .006
N 46 46 46 46 46 46 46 46 46 46 46 46
total Pearson Correlation ,455** ,699** ,693** ,612** ,456** ,572** ,493** ,367* ,372* ,374* ,398** 1
Sig. (2-tailed) .001 .000 .000 .000 .001 .000 .000 .012 .147 .011 .006
N 46 46 46 46 46 46 46 46 46 46 46 46
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
LAMPIRAN
HASIL Software UJI VALIDITAS
SMA CENGKARENG 1
Correlations
p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p1 Pearson
Correlation 1 ,683** ,467** ,713** ,589** .323 .271 ,557** ,579** ,482** ,390*
Sig. (2-tailed) .000 .006 .000 .000 .067 .127 .001 .000 .005 .025
N 33 33 33 33 33 33 33 33 33 33 33
p2 Pearson Correlation ,683** 1 .241 ,394* ,426* .257 ,345* ,435* .169 .234 ,478**
Sig. (2-tailed) .000 .177 .023 .013 .149 .049 .011 .346 .190 .005
N 33 33 33 33 33 33 33 33 33 33 33
p3 Pearson Correlation ,467** .241 1 .327 .340 -.185 .340 ,415* .184 ,619** 0.000
Sig. (2-tailed) .006 .177 .063 .053 .303 .053 .016 .305 .000 1.000
N 33 33 33 33 33 33 33 33 33 33 33
p4 Pearson Correlation ,713** ,394* .327 1 ,519** .121 .148 ,452** ,603** ,347* .196
Sig. (2-tailed) .000 .023 .063 .002 .502 .410 .008 .000 .048 .274
N 33 33 33 33 33 33 33 33 33 33 33
p5 Pearson Correlation ,589** ,426* .340 ,519** 1 .118 -.002 ,479** ,353* ,381* .130
Sig. (2-tailed) .000 .013 .053 .002 .513 .990 .005 .044 .029 .472
N 33 33 33 33 33 33 33 33 33 33 33
p6 Pearson Correlation .323 .257 -.185 .121 .118 1 -.133 .028 ,437* .212 ,589**
Sig. (2-tailed) .067 .149 .303 .502 .513 .459 .878 .011 .235 .000
N 33 33 33 33 33 33 33 33 33 33 33
p7 Pearson Correlation .271 ,345* .340 .148 -.002 -.133 1 .197 .103 ,381* -.210
Sig. (2-tailed) .127 .049 .053 .410 .990 .459 .273 .570 .029 .241
N 33 33 33 33 33 33 33 33 33 33 33
p8 Pearson Correlation ,557** ,435* ,415* ,452** ,479** .028 .197 1 ,389* ,440* .271
Sig. (2-tailed) .001 .011 .016 .008 .005 .878 .273 .025 .010 .127
N 33 33 33 33 33 33 33 33 33 33 33
p9 Pearson Correlation ,579** .169 .184 ,603** ,353* ,437* .103 ,389* 1 ,391* .161
Sig. (2-tailed) .000 .346 .305 .000 .044 .011 .570 .025 .025 .372
N 33 33 33 33 33 33 33 33 33 33 33
p10 Pearson Correlation ,482** .234 ,619** ,347* ,381* .212 ,381* ,440* ,391* 1 .318
Sig. (2-tailed) .005 .190 .000 .048 .029 .235 .029 .010 .025 .072
N 33 33 33 33 33 33 33 33 33 33 33
p11 Pearson Correlation ,390* ,478** 0.000 .196 .130 ,589** -.210 .271 .161 .318 1
Sig. (2-tailed) .025 .005 1.000 .274 .472 .000 .241 .127 .372 .072
N 33 33 33 33 33 33 33 33 33 33 33
p12 Pearson Correlation ,345* .187 .285 .280 ,432* ,540** -.150 .194 ,430* ,378* ,373*
Sig. (2-tailed) .049 .297 .107 .114 .012 .001 .405 .280 .012 .030 .033
N 33 33 33 33 33 33 33 33 33 33 33
p13 Pearson Correlation .164 .254 -.151 .099 -.034 ,557** -.342 -.125 .000 -.107 ,542**
Sig. (2-tailed) .361 .154 .402 .585 .850 .001 .052 .488 1.000 .555 .001
N 33 33 33 33 33 33 33 33 33 33 33
p14 Pearson Correlation .175 .290 -.145 -.190 .159 ,599** -.039 .022 .263 .180 ,420*
Sig. (2-tailed) .330 .102 .419 .288 .377 .000 .830 .904 .139 .316 .015
N 33 33 33 33 33 33 33 33 33 33 33
p15 Pearson Correlation .343 .031 0.000 .203 .192 ,368* -.125 .328 .328 .247 ,414*
Sig. (2-tailed) .051 .866 1.000 .256 .284 .035 .489 .063 .063 .166 .017
N 33 33 33 33 33 33 33 33 33 33 33
p16 Pearson Correlation ,445** .232 ,348* .341 ,459** .339 .104 ,629** ,629** ,492** .066
Sig. (2-tailed) .009 .194 .047 .052 .007 .054 .565 .000 .000 .004 .714
N 33 33 33 33 33 33 33 33 33 33 33
p17 Pearson Correlation ,379* ,394* .145 .190 .258 .276 -.138 .143 .102 .103 ,420*
Sig. (2-tailed) .030 .023 .419 .288 .147 .120 .444 .429 .571 .569 .015
N 33 33 33 33 33 33 33 33 33 33 33
p18 Pearson Correlation .331 .292 .124 .324 .069 ,430* -.015 .261 .261 .328 ,552**
Sig. (2-tailed) .060 .099 .493 .066 .704 .013 .933 .143 .143 .063 .001
N 33 33 33 33 33 33 33 33 33 33 33
p19 Pearson Correlation .149 -.097 .184 .121 -.023 .130 -.273 .236 -.019 .195 .161
Sig. (2-tailed) .409 .592 .305 .504 .900 .471 .124 .186 .919 .276 .372
N 33 33 33 33 33 33 33 33 33 33 33
p20 Pearson Correlation -.080 -.036 .332 -.217 -.253 .095 .085 -.038 -.267 ,410* .325
Sig. (2-tailed) .659 .841 .059 .225 .156 .600 .636 .836 .134 .018 .065
N 33 33 33 33 33 33 33 33 33 33 33
p21 Pearson Correlation ,665** ,460** .309 ,506** ,494** ,411* -.032 .245 ,373* ,437* ,564**
Sig. (2-tailed) .000 .007 .080 .003 .003 .018 .860 .170 .033 .011 .001
N 33 33 33 33 33 33 33 33 33 33 33
p22 Pearson Correlation .274 .282 .128 ,418* -.013 .240 .247 .260 ,436* .180 .271
Sig. (2-tailed) .122 .112 .479 .016 .942 .178 .166 .145 .011 .315 .127
N 33 33 33 33 33 33 33 33 33 33 33
p23 Pearson Correlation .253 .133 0.000 .143 .278 .304 -.166 .246 ,547** .038 .083
Sig. (2-tailed) .156 .459 1.000 .429 .117 .086 .356 .167 .001 .832 .646
N 33 33 33 33 33 33 33 33 33 33 33
p24 Pearson Correlation ,394* .312 .174 .228 .211 .304 -.143 .236 .332 .215 ,454**
Sig. (2-tailed) .023 .077 .333 .203 .238 .086 .426 .186 .059 .229 .008
N 33 33 33 33 33 33 33 33 33 33 33
p25 Pearson Correlation .242 .278 .123 0.000 .142 ,464** -,361* .297 .025 .283 ,597**
Sig. (2-tailed) .174 .118 .494 1.000 .430 .007 .039 .093 .891 .110 .000
N 33 33 33 33 33 33 33 33 33 33 33
p26 Pearson Correlation .254 .237 .125 .082 .162 ,459** -.177 .235 .063 .331 ,502**
Sig. (2-tailed) .154 .184 .489 .652 .368 .007 .324 .188 .729 .060 .003
N 33 33 33 33 33 33 33 33 33 33 33
p27 Pearson Correlation .063 -.097 0.000 0.000 -.023 .130 -.273 ,677** -.019 .098 .161
Sig. (2-tailed) .729 .592 1.000 1.000 .900 .471 .124 .186 .919 .589 .372
N 33 33 33 33 33 33 33 33 33 33 33
p28 Pearson Correlation ,458** ,526** .263 ,344* .236 .331 .146 ,446** .264 ,349* ,544**
Sig. (2-tailed) .007 .002 .139 .050 .186 .060 .416 .009 .137 .047 .001
N 33 33 33 33 33 33 33 33 33 33 33
p29 Pearson Correlation .232 .014 -.155 .202 -.242 ,496** -.032 .117 ,544** .027 ,379*
Sig. (2-tailed) .194 .940 .390 .258 .174 .003 .860 .518 .001 .880 .030
N 33 33 33 33 33 33 33 33 33 33 33
p30 Pearson Correlation .195 .040 .142 0.000 -.047 ,399* -.240 .171 .329 .101 ,472**
Sig. (2-tailed) .276 .823 .430 1.000 .796 .021 .178 .340 .062 .578 .006
N 33 33 33 33 33 33 33 33 33 33 33
p31 Pearson Correlation ,472** ,379* .121 .238 -.027 ,516** .055 .302 .268 .236 ,581**
Sig. (2-tailed) .006 .029 .501 .182 .879 .002 .761 .088 .131 .186 .000
N 33 33 33 33 33 33 33 33 33 33 33
p32 Pearson Correlation .199 .125 0.000 0.000 -.017 ,398* -.017 -.074 .197 .144 ,347*
Sig. (2-tailed) .267 .488 1.000 1.000 .926 .022 .926 .683 .272 .423 .048
N 33 33 33 33 33 33 33 33 33 33 33
p33 Pearson Correlation .100 .300 0.000 0.000 -.010 .230 -.010 .036 -.095 .083 ,446**
Sig. (2-tailed) .579 .090 1.000 1.000 .957 .198 .957 .844 .599 .644 .009
N 33 33 33 33 33 33 33 33 33 33 33
p34 Pearson Correlation .267 .280 0.000 .094 -.122 .321 .270 .206 .246 .203 ,368*
Sig. (2-tailed) .134 .115 1.000 .602 .501 .068 .129 .250 .168 .256 .035
N 33 33 33 33 33 33 33 33 33 33 33
p35 Pearson Correlation .215 .272 .132 .087 -.101 .258 ,349* .040 .186 .234 .288
Sig. (2-tailed) .229 .126 .463 .632 .576 .147 .046 .825 .299 .190 .104
N 33 33 33 33 33 33 33 33 33 33 33
p36 Pearson Correlation -.047 -.041 -.157 -.206 -.331 .143 -.010 -.095 .079 -.083 .163
Sig. (2-tailed) .796 .819 .382 .250 .060 .428 .957 .599 .662 .644 .365
N 33 33 33 33 33 33 33 33 33 33 33
p37 Pearson Correlation .230 .220 0.000 .104 -,355* ,346* .187 .108 .241 .254 ,495**
Sig. (2-tailed) .197 .219 1.000 .563 .043 .049 .296 .549 .177 .154 .003
N 33 33 33 33 33 33 33 33 33 33 33
total Pearson Correlation ,733** ,582** ,347* ,482** ,353* ,651** ,699** ,523** ,554** ,582** ,738**
Sig. (2-tailed) .000 .000 .048 .004 .044 .000 .551 .002 .001 .000 .000
N 33 33 33 33 33 33 33 33 33 33 33
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 p22 p23 p24
,345* .164 .175 .343 ,445** ,379* .331 .149 -.080 ,665** .274 .253 ,394*
.049 .361 .330 .051 .009 .030 .060 .409 .659 .000 .122 .156 .023
33 33 33 33 33 33 33 33 33 33 33 33 33
.187 .254 .290 .031 .232 ,394* .292 -.097 -.036 ,460** .282 .133 .312
.297 .154 .102 .866 .194 .023 .099 .592 .841 .007 .112 .459 .077
33 33 33 33 33 33 33 33 33 33 33 33 33
.285 -.151 -.145 0.000 ,348* .145 .124 .184 .332 .309 .128 0.000 .174
.107 .402 .419 1.000 .047 .419 .493 .305 .059 .080 .479 1.000 .333
33 33 33 33 33 33 33 33 33 33 33 33 33
.280 .099 -.190 .203 .341 .190 .324 .121 -.217 ,506** ,418* .143 .228
.114 .585 .288 .256 .052 .288 .066 .504 .225 .003 .016 .429 .203
33 33 33 33 33 33 33 33 33 33 33 33 33
,432* -.034 .159 .192 ,459** .258 .069 -.023 -.253 ,494** -.013 .278 .211
.012 .850 .377 .284 .007 .147 .704 .900 .156 .003 .942 .117 .238
33 33 33 33 33 33 33 33 33 33 33 33 33
,540** ,557** ,599** ,368* .339 .276 ,430* .130 .095 ,411* .240 .304 .304
.001 .001 .000 .035 .054 .120 .013 .471 .600 .018 .178 .086 .086
33 33 33 33 33 33 33 33 33 33 33 33 33
-.150 -.342 -.039 -.125 .104 -.138 -.015 -.273 .085 -.032 .247 -.166 -.143
.405 .052 .830 .489 .565 .444 .933 .124 .636 .860 .166 .356 .426
33 33 33 33 33 33 33 33 33 33 33 33 33
.194 -.125 .022 .328 ,629** .143 .261 .236 -.038 .245 .260 .246 .236
.280 .488 .904 .063 .000 .429 .143 .186 .836 .170 .145 .167 .186
33 33 33 33 33 33 33 33 33 33 33 33 33
,430* .000 .263 .328 ,629** .102 .261 -.019 -.267 ,373* ,436* ,547** .332
.012 1.000 .139 .063 .000 .571 .143 .919 .134 .033 .011 .001 .059
33 33 33 33 33 33 33 33 33 33 33 33 33
,378* -.107 .180 .247 ,492** .103 .328 .195 ,410* ,437* .180 .038 .215
.030 .555 .316 .166 .004 .569 .063 .276 .018 .011 .315 .832 .229
33 33 33 33 33 33 33 33 33 33 33 33 33
,373* ,542** ,420* ,414* .066 ,420* ,552** .161 .325 ,564** .271 .083 ,454**
.033 .001 .015 .017 .714 .015 .001 .372 .065 .001 .127 .646 .008
33 33 33 33 33 33 33 33 33 33 33 33 33
1 ,516** ,362* ,363* ,420* .238 ,500** ,430* .232 ,470** .139 .153 ,474**
.002 .038 .038 .015 .183 .003 .012 .193 .006 .440 .397 .005
33 33 33 33 33 33 33 33 33 33 33 33 33
,516** 1 .088 .281 -.210 ,351* ,559** .333 .200 ,373* .154 -.066 ,577**
.002 .627 .113 .242 .045 .001 .058 .264 .033 .393 .717 .000
33 33 33 33 33 33 33 33 33 33 33 33 33
,362* .088 1 .086 ,368* ,365* .177 -.058 .123 .143 .003 ,461** .037
.038 .627 .633 .035 .037 .326 .747 .496 .427 .985 .007 .839
33 33 33 33 33 33 33 33 33 33 33 33 33
,363* .281 .086 1 .206 -.049 ,450** ,500** .239 ,459** -.108 -.148 .280
.038 .113 .633 .250 .785 .009 .003 .181 .007 .549 .412 .115
33 33 33 33 33 33 33 33 33 33 33 33 33
,420* -.210 ,368* .206 1 .064 .164 .245 .005 .288 .185 ,571** .027
.015 .242 .035 .250 .722 .362 .170 .977 .104 .301 .001 .879
33 33 33 33 33 33 33 33 33 33 33 33 33
.238 ,351* ,365* -.049 .064 1 .177 .102 .268 ,413* .337 ,461** .340
.183 .045 .037 .785 .722 .326 .571 .132 .017 .055 .007 .053
33 33 33 33 33 33 33 33 33 33 33 33 33
,500** ,559** .177 ,450** .164 .177 1 ,398* .313 ,594** .198 -.117 ,609**
.003 .001 .326 .009 .362 .326 .022 .076 .000 .270 .515 .000
33 33 33 33 33 33 33 33 33 33 33 33 33
,430* .333 -.058 ,500** .245 .102 ,398* 1 ,467** .202 -.269 -.175 .140
.012 .058 .747 .003 .170 .571 .022 .006 .260 .130 .330 .438
33 33 33 33 33 33 33 33 33 33 33 33 33
.232 .200 .123 .239 .005 .268 .313 ,467** 1 .242 .100 -.210 .052
.193 .264 .496 .181 .977 .132 .076 .006 .174 .580 .241 .772
33 33 33 33 33 33 33 33 33 33 33 33 33
,470** ,373* .143 ,459** .288 ,413* ,594** .202 .242 1 .294 .159 ,464**
.006 .033 .427 .007 .104 .017 .000 .260 .174 .097 .376 .006
33 33 33 33 33 33 33 33 33 33 33 33 33
.139 .154 .003 -.108 .185 .337 .198 -.269 .100 .294 1 ,399* .258
.440 .393 .985 .549 .301 .055 .270 .130 .580 .097 .021 .147
33 33 33 33 33 33 33 33 33 33 33 33 33
.153 -.066 ,461** -.148 ,571** ,461** -.117 -.175 -.210 .159 ,399* 1 .034
.397 .717 .007 .412 .001 .007 .515 .330 .241 .376 .021 .849
33 33 33 33 33 33 33 33 33 33 33 33 33
,474** ,577** .037 .280 .027 .340 ,609** .140 .052 ,464** .258 .034 1
.005 .000 .839 .115 .879 .053 .000 .438 .772 .006 .147 .849
33 33 33 33 33 33 33 33 33 33 33 33 33
,480** ,520** ,437* ,365* .230 ,544** ,474** ,570** ,439* .340 -.049 .127 ,370*
.005 .002 .011 .036 .198 .001 .005 .001 .011 .053 .788 .482 .034
33 33 33 33 33 33 33 33 33 33 33 33 33
,466** ,451** .307 .285 .213 .307 ,597** ,476** .282 ,473** .052 .104 .307
.006 .008 .083 .108 .235 .083 .000 .005 .112 .005 .774 .566 .082
33 33 33 33 33 33 33 33 33 33 33 33 33
.273 .167 .102 ,671** .245 .102 ,398* ,796** ,467** .202 -.269 -.175 .140
.125 .354 .571 .000 .170 .571 .022 .000 .006 .260 .130 .330 .438
33 33 33 33 33 33 33 33 33 33 33 33 33
,389* .238 ,490** -.022 ,349* ,720** ,470** .119 .274 ,410* ,522** ,437* .337
.025 .182 .004 .902 .046 .000 .006 .510 .123 .018 .002 .011 .055
33 33 33 33 33 33 33 33 33 33 33 33 33
.205 .093 ,413* .314 .288 .143 ,365* .031 .089 .283 ,531** ,361* .142
.253 .606 .017 .075 .104 .427 .037 .864 .624 .111 .001 .039 .431
33 33 33 33 33 33 33 33 33 33 33 33 33
,520** .343 .335 ,410* .306 .335 .326 .329 ,442* ,416* .280 ,383* .238
.002 .051 .057 .018 .084 .057 .064 .062 .010 .016 .114 .028 .182
33 33 33 33 33 33 33 33 33 33 33 33 33
.312 ,366* .176 .339 .211 .176 ,360* .268 .161 ,413* .309 .106 .211
.078 .036 .326 .054 .239 .326 .040 .131 .371 .017 .080 .559 .239
33 33 33 33 33 33 33 33 33 33 33 33 33
.178 .049 .290 .014 .067 .004 .132 -.164 -.034 .225 .155 .084 .160
.321 .785 .102 .939 .710 .981 .463 .361 .849 .208 .388 .642 .373
33 33 33 33 33 33 33 33 33 33 33 33 33
.049 .142 .250 -.080 -.060 .112 -.064 -.095 .043 .013 .066 .131 -.269
.786 .429 .161 .658 .741 .533 .725 .599 .813 .942 .716 .468 .131
33 33 33 33 33 33 33 33 33 33 33 33 33
.078 .043 .232 .073 .155 .106 .271 -.072 .009 .210 ,417* .194 .195
.665 .811 .194 .686 .391 .555 .126 .689 .962 .240 .016 .280 .276
33 33 33 33 33 33 33 33 33 33 33 33 33
.093 .200 .049 -.090 .071 .164 .027 -.106 .136 .220 ,445** .262 .021
.608 .266 .787 .620 .694 .360 .882 .556 .452 .220 .009 .141 .908
33 33 33 33 33 33 33 33 33 33 33 33 33
.049 .285 -.025 .067 -.060 -.025 -.064 .079 .043 .013 .186 .131 .224
.786 .108 .890 .712 .741 .890 .725 .662 .813 .942 .300 .468 .210
33 33 33 33 33 33 33 33 33 33 33 33 33
.149 ,433* .063 ,351* -.015 .063 .280 .241 .289 .188 .322 -.019 .182
.408 .012 .726 .045 .933 .726 .115 .177 .103 .294 .068 .917 .312
33 33 33 33 33 33 33 33 33 33 33 33 33
,639** ,451** ,434* ,461** ,509** ,497** ,634** ,466** ,512** ,724** ,462** .336 ,507**
.000 .008 .012 .007 .002 .003 .000 .060 .078 .000 .007 .056 .003
33 33 33 33 33 33 33 33 33 33 33 33 33
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations
p25 p26 p27 p28 p29 p30 p31 p32 p33 p34 p35 p36 p37 total
.242 .254 .063 ,458** .232 .195 ,472** .199 .100 .267 .215 -.047 .230 ,733**
.174 .154 .729 .007 .194 .276 .006 .267 .579 .134 .229 .796 .197 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.278 .237 -.097 ,526** .014 .040 ,379* .125 .300 .280 .272 -.041 .220 ,582**
.118 .184 .592 .002 .940 .823 .029 .488 .090 .115 .126 .819 .219 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.123 .125 0.000 .263 -.155 .142 .121 0.000 0.000 0.000 .132 -.157 0.000 ,347*
.494 .489 1.000 .139 .390 .430 .501 1.000 1.000 1.000 .463 .382 1.000 .048
33 33 33 33 33 33 33 33 33 33 33 33 33 33
0.000 .082 0.000 ,344* .202 0.000 .238 0.000 0.000 .094 .087 -.206 .104 ,482**
1.000 .652 1.000 .050 .258 1.000 .182 1.000 1.000 .602 .632 .250 .563 .004
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.142 .162 -.023 .236 -.242 -.047 -.027 -.017 -.010 -.122 -.101 -.331 -,355* ,353*
.430 .368 .900 .186 .174 .796 .879 .926 .957 .501 .576 .060 .043 .044
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,464** ,459** .130 .331 ,496** ,399* ,516** ,398* .230 .321 .258 .143 ,346* ,651**
.007 .007 .471 .060 .003 .021 .002 .022 .198 .068 .147 .428 .049 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
-,361* -.177 -.273 .146 -.032 -.240 .055 -.017 -.010 .270 ,349* -.010 .187 ,699**
.039 .324 .124 .416 .860 .178 .761 .926 .957 .129 .046 .957 .296 .551
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.297 .235 .236 ,446** .117 .171 .302 -.074 .036 .206 .040 -.095 .108 ,523**
.093 .188 .186 .009 .518 .340 .088 .683 .844 .250 .825 .599 .549 .002
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.025 .063 -.019 .264 ,544** .329 .268 .197 -.095 .246 .186 .079 .241 ,554**
.891 .729 .919 .137 .001 .062 .131 .272 .599 .168 .299 .662 .177 .001
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.283 .331 .098 ,349* .027 .101 .236 .144 .083 .203 .234 -.083 .254 ,582**
.110 .060 .589 .047 .880 .578 .186 .423 .644 .256 .190 .644 .154 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,597** ,502** .161 ,544** ,379* ,472** ,581** ,347* ,446** ,368* .288 .163 ,495** ,738**
.000 .003 .372 .001 .030 .006 .000 .048 .009 .035 .104 .365 .003 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,480** ,466** .273 ,389* .205 ,520** .312 .178 .049 .078 .093 .049 .149 ,639**
.005 .006 .125 .025 .253 .002 .078 .321 .786 .665 .608 .786 .408 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,520** ,451** .167 .238 .093 .343 ,366* .049 .142 .043 .200 .285 ,433* ,451**
.002 .008 .354 .182 .606 .051 .036 .785 .429 .811 .266 .108 .012 .008
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,437* .307 .102 ,490** ,413* .335 .176 .290 .250 .232 .049 -.025 .063 ,434*
.011 .083 .571 .004 .017 .057 .326 .102 .161 .194 .787 .890 .726 .012
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,365* .285 ,671** -.022 .314 ,410* .339 .014 -.080 .073 -.090 .067 ,351* ,461**
.036 .108 .000 .902 .075 .018 .054 .939 .658 .686 .620 .712 .045 .007
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.230 .213 .245 ,349* .288 .306 .211 .067 -.060 .155 .071 -.060 -.015 ,509**
.198 .235 .170 .046 .104 .084 .239 .710 .741 .391 .694 .741 .933 .002
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,544** .307 .102 ,720** .143 .335 .176 .004 .112 .106 .164 -.025 .063 ,497**
.001 .083 .571 .000 .427 .057 .326 .981 .533 .555 .360 .890 .726 .003
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,474** ,597** ,398* ,470** ,365* .326 ,360* .132 -.064 .271 .027 -.064 .280 ,634**
.005 .000 .022 .006 .037 .064 .040 .463 .725 .126 .882 .725 .115 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,570** ,476** ,796** .119 .031 .329 .268 -.164 -.095 -.072 -.106 .079 .241 ,466**
.001 .005 .000 .510 .864 .062 .131 .361 .599 .689 .556 .662 .177 .060
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,439* .282 ,467** .274 .089 ,442* .161 -.034 .043 .009 .136 .043 .289 ,512**
.011 .112 .006 .123 .624 .010 .371 .849 .813 .962 .452 .813 .103 .078
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.340 ,473** .202 ,410* .283 ,416* ,413* .225 .013 .210 .220 .013 .188 ,724**
.053 .005 .260 .018 .111 .016 .017 .208 .942 .240 .220 .942 .294 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
-.049 .052 -.269 ,522** ,531** .280 .309 .155 .066 ,417* ,445** .186 .322 ,462**
.788 .774 .130 .002 .001 .114 .080 .388 .716 .016 .009 .300 .068 .007
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.127 .104 -.175 ,437* ,361* ,383* .106 .084 .131 .194 .262 .131 -.019 .336
.482 .566 .330 .011 .039 .028 .559 .642 .468 .280 .141 .468 .917 .056
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,370* .307 .140 .337 .142 .238 .211 .160 -.269 .195 .021 .224 .182 ,507**
.034 .082 .438 .055 .431 .182 .239 .373 .131 .276 .908 .210 .312 .003
33 33 33 33 33 33 33 33 33 33 33 33 33 33
1 ,746** ,570** ,522** .111 ,437* ,419* .059 .243 .061 -.021 .011 .268 ,609**
.000 .001 .002 .539 .011 .015 .746 .172 .735 .909 .953 .131 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,746** 1 .338 ,483** .126 .271 ,544** .189 .321 ,352* .261 .086 .260 ,630**
.000 .054 .004 .484 .128 .001 .293 .068 .045 .142 .636 .143 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,570** .338 1 .119 .202 .329 .134 -.164 -.269 -.072 -,399* -.095 .064 .251
.001 .054 .510 .260 .062 .457 .361 .130 .689 .021 .599 .723 .159
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,522** ,483** .119 1 ,410* ,357* ,383* .152 .237 ,464** .266 -.011 .217 ,729**
.002 .004 .510 .018 .041 .028 .397 .184 .007 .135 .950 .224 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.111 .126 .202 ,410* 1 ,548** ,413* ,377* .013 ,477** .097 .159 .336 ,476**
.539 .484 .260 .018 .001 .017 .031 .942 .005 .592 .376 .056 .005
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,437* .271 .329 ,357* ,548** 1 ,483** .220 .208 .138 .233 .208 ,359* ,564**
.011 .128 .062 .041 .001 .004 .219 .246 .445 .193 .246 .040 .001
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,419* ,544** .134 ,383* ,413* ,483** 1 ,634** ,458** ,663** ,546** .229 ,581** ,715**
.015 .001 .457 .028 .017 .004 .000 .007 .000 .001 .200 .000 .000
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.059 .189 -.164 .152 ,377* .220 ,634** 1 .238 ,534** .311 -.070 .100 ,722**
.746 .293 .361 .397 .031 .219 .000 .181 .001 .079 .698 .581 .055
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.243 .321 -.269 .237 .013 .208 ,458** .238 1 .309 ,455** -.041 .329 ,788**
.172 .068 .130 .184 .942 .246 .007 .181 .081 .008 .823 .062 .118
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.061 ,352* -.072 ,464** ,477** .138 ,663** ,534** .309 1 ,460** .309 ,388* ,500**
.735 .045 .689 .007 .005 .445 .000 .001 .081 .007 .081 .026 .003
33 33 33 33 33 33 33 33 33 33 33 33 33 33
-.021 .261 -,399* .266 .097 .233 ,546** .311 ,455** ,460** 1 ,455** ,622** ,428*
.909 .142 .021 .135 .592 .193 .001 .079 .008 .007 .008 .000 .013
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.011 .086 -.095 -.011 .159 .208 .229 -.070 -.041 .309 ,455** 1 ,630** ,600**
.953 .636 .599 .950 .376 .246 .200 .698 .823 .081 .008 .000 .411
33 33 33 33 33 33 33 33 33 33 33 33 33 33
.268 .260 .064 .217 .336 ,359* ,581** .100 .329 ,388* ,622** ,630** 1 ,513**
.131 .143 .723 .224 .056 .040 .000 .581 .062 .026 .000 .000 .002
33 33 33 33 33 33 33 33 33 33 33 33 33 33
,609** ,630** ,677** ,729** ,476** ,564** ,715** ,722** ,788** ,500** ,428* ,600** ,513** 1
.000 .000 .159 .000 .005 .001 .000 .055 .118 .003 .013 .411 .002
33 33 33 33 33 33 33 33 33 33 33 33 33 33
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Lampiran
Hasil Software Uji Reliabilitas SMK Jakarta 1
RELIABILITY /VARIABLES=p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 p22 p23 p24 p25 p26 p27 p28 p29 p30 p31 p32 p33 p34 p35 p36 p37 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA. Reliability [DataSet0] Scale: ALL VARIABLES
Reliability Statistics
Cronbach's
Alpha
N of Items
,919 37
Lampiran
Hasil Software Regresi Berganda SMK Jakarta 1 NEW FILE. DATASET NAME DataSet1 WINDOW=FRONT. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT disiplin /METHOD=ENTER kompensasi kompetensi. Regression [DataSet1]
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 1,361 ,572 2,381 ,022
kompensasi -,148 ,150 -,161 -,989 ,328
kompetensi ,719 ,217 ,540 3,310 ,002
a. Dependent Variable: disiplin
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1,483 2 ,741 6,039 ,005b
Residual 5,280 43 ,123
Total 6,763 45
a. Dependent Variable: disiplin
b. Predictors: (Constant), kompetensi, kompensasi
Lampiran
Hasil Software Uji Reliabilitas SMA Cengkareng 1
RELIABILITY /VARIABLES=p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 p22 p23 p24 p25 p26 p27 p28 p29 p30 p31 p32 p33 p34 p35 p36 p37 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA.
Reliability [DataSet0]
Scale: ALL VARIABLES
Reliability Statistics
Cronbach's
Alpha
N of Items
,914 37
Lampiran
Hasil Software Uji Regresi Berganda SMA Cengkareng 1 NEW FILE. DATASET NAME DataSet1 WINDOW=FRONT. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT disiplin /METHOD=ENTER kompensasi kompetensi.
Regression [DataSet1]
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 1,567 ,672 2,332 ,027
kompensasi ,176 ,175 ,207 1,003 ,324
kompetensi ,336 ,255 ,271 1,314 ,199
a. Dependent Variable: disiplin
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression ,697 2 ,348 3,351 ,049b
Residual 3,118 30 ,104
Total 3,815 32
a. Dependent Variable: disiplin
b. Predictors: (Constant), kompetensi, kompensasi