56 Lampiran 1
KUESIONER
Kuesioner ini dimaksudkan untuk meneliti Persepsi Pembuat Laporan Keuangan SKPD Terhadap Keterpahaman Prinsip Akuntansi dan Pelaporan Keuangan Dalam Kerangka Konseptual PP No. 71 Tahun 2010. Sehubungan dengan hal tersebut, maka diharapkan partisipasi Bapak/Ibu untuk bersedia mengisi kuesioner ini dengan jujur.
Bagian Pertama
Identitas Responden
Bagian ini berisi pertanyaan mengenai identitas responden yang berupa isian dan pilihan. Bapak/ Ibu diminta untuk mengisi identitas dan memberi tanda (√) pada kotak dan mengisi isian yang tersedia dengan jujur dan jelas.
Usia :...
Jabatan :...
Masa Kerja Keseluruhan :...
Masa Kerja di bidang akuntansi/keuangan :...
Bidang pendidikan yang pernah ditempuh (Boleh diisi lebih dari satu) :
1. SMU/SMA SMK Akuntansi SMK Non Akuntansi
2. D1 Akuntansi D1 Non Akuntansi
3. D2 Akuntansi D2 Non Akuntansi
4. D3 Akuntansi D3 Non Akuntansi
5. S1 Akuntansi S1 Non Akuntansi
6. S2 Akuntansi S2 Non Akuntansi
7. S3 Akuntansi S3 Non Akuntansi
Pelatihan yang pernah diikuti : Pelatihan Akuntansi Dasar
Pelatihan Akuntansi Keuangan dan Komputer Akuntansi
Pelatihan Akuntansi Pemerintahan
Lainnya
57
Bagian Kedua
Di bawah ini adalah pernyataan-pernyataan yang ditujukan untuk mengetahui persepsi responden yang berada di bagian akuntansi pada SKPD Kabupaten Semarang terkait dengan Prinsip Akuntansi Pemerintah dalam PP No. 71 Tahun 2010 tentang peraturan pemerintah yang berbasis akrual. Berilah tanda (√) pada kolom yang tersedia.
Keterangan :
STM : Sangat Tidak Mudah CM : Cukup Mudah SM : Sangat Mudah TM : Tidak Mudah M : Mudah
No Prinsip Akuntansi Pemerintahan
Pernyataan Pilihan Jawaban STM TM CM M SM 1. Basis Akuntansi 1. Laporan Keuangan Pemda
menggunakan basis akrual.
2. Laporan Keuangan basis kas harus sesuai dengan peraturan perundangan.
3. Pendapatan dapat diakui walaupun kas belum diterima.
4. Beban dapat diakui walaupun kas belum dikeluarkan.
5. Bantuan pihak luar/asing dalam bentuk jasa disajikan pada Laporan Operasional.
6. Laporan Realisasi Anggaran basis kas mengakui pendapatan pada saat kas diterima.
7. Laporan Realisasi Anggaran basis kas mengakui belanja pada saat kas dikeluarkan.
8. Laporan Realisasi Anggaran basis akrual mengakui pendapatan meskipun kas belum diterima.
9. Laporan Realisasi Anggaran basis akrual mengakui belanja transfer meskipun kas belum dikeluarkan.
10. Basis akrual untuk Neraca tidak
memperhatikan saat kas atau setara kas
58 diterima atau dibayar.
2. Nilai Hitoris 11. Perolehan aset dicatat sebesar pengeluaran kas, setara kas atau sebesar nilai wajar.
12. Kewajiban dicatat sebesar jumlah kas dan setara kas yang diharapkan.
13. Nilai historis lebih obyektif dan dapat diverifikasi
14. Nilai wajar aset dapat digunakan bilamana tidak terdapat nilai historis.
3. Realisasi 15. Pendapatan atau belanja basis kas diakui setelah menambah atau mengurangi kas dan sudah diotorisasi melalui anggaran.
16. Biaya dan pendapatan dalam akuntansi pemerintah tidak mendapat penekanan seperti akuntansi komersial.
4. Substansi Mengungguli Bentuk Formal
17. Transaksi dicatat sesuai substansi dan realitas ekonomi bukan hanya dipengaruhi aspek formalitas.
18. Transaksi tidak konsisten dengan aspek formalitas maka harus diungkapkan di Catatan atas Laporan Keuangan.
5. Prinsip Periodisitas
19. Kegiatan akuntansi dan pelaporan keuangan entitas perlu dibagi menjadi periode-periode pelaporan.
20. Periode utama yang digunakan dalam kegiatan akuntansi adalah periode tahunan.
21. Periode bulanan, triwulan, dan semesteran dianjurkan dalam kegiatan akuntansi dan pelaporan keuangan.
6. Prinsip Konsistensi
22. Perlakuan akuntansi yang sama diterapkan dari periode ke periode.
23. Metode akuntansi dapat diubah dengan syarat metode yang baru harus memberikan informasi yang lebih baik.
24. Perubahan penggunaan metode diungkapkan pada Catatan atas Laporan Keuangan.
7. Pengungkapan Lengkap
25. Laporan keuangan menyajikan secara lengkap informasi yang dibutuhkan oleh pengguna.
26. Informasi yang dibutuhkan pengguna
dapat diletakkan pada lembar muka
laporan keuangan atau Catatan atas
59 Laporan Keuangan.
8. Penyajian Wajar 27. Laporan Keuangan Pemda disajikan dengan wajar.
28. Pertimbangan sehat diperlukan ketika menghadapi ketidakpastian peristiwa dan keadaan tertentu.
29. Pertimbangan sehat mengandung unsur kehati-hatian.
30. Laporan Keuangan tetaplah netral dan andal walaupun menggunakan pertimbangan sehat.
Lampiran 2
Daftar pertanyaan wasancara diluar prinsip akuntansi dan pelaporan keuangan PP No. 71 Tahun 2010 :
Kabupaten Semarang menggunakan SAP basis akrual mulai tahun berapa?
Dalam perubahan SAP ini, apakah terjadi kendala dalam pelaporan keuangan di kantor
ini?
Hal apa saja yang sering terjadi salah dalam pelaporan keuangan dengan basis akrual di
kantor ini?
Kenapa sering dilakukan pergantian pada staf keuangan? Apakah pergantian ini
bermaksud agar semakin baik kinerja bagian keuangan kantornya? Pegawai seperti apa yang ditempatkan untuk mengganti bagian staf keuangan ini?
Apakah pernah pelaporan keuangan disini terlambat dalam melaporkan laporan
keuangan?
60 Lampiran 3
UJI VALIDITAS BKUD
Correlations
BKUD1 BKUD2 BKUD3 BKUD4 BKUD5 BKUD6 BKUD7 BKUD8 BKUD9 BKUD10 BKUD11 BKUD12 BKUD13 BKUD14 BKUD15
BKUD1
Pearson Correlation
1 .084 .181 -.158 .242 .011 -.017 -.125 -.087 .349 .226 .014 -.040 -.047 -.091
Sig. (2- tailed)
.657 .337 .404 .197 .952 .929 .510 .647 .059 .229 .940 .834 .804 .633
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD2
Pearson Correlation
.084 1 .175 .131 -.248 .095 .094 .371
*.085 .077 .157 .056 -.101 -.011 .199
Sig. (2- tailed)
.657 .356 .489 .186 .618 .622 .043 .653 .685 .408 .767 .595 .954 .291
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD3
Pearson Correlation
.181 .175 1 .131 -.248 .332 -.023 .223 .144 .179 .196 .293 -.193 .153 -.126
Sig. (2- tailed)
.337 .356 .489 .186 .073 .902 .237 .446 .344 .299 .117 .306 .419 .507
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD4
Pearson Correlation
-.158 .131 .131 1 -.333 .000 -.267 .113 .336 .093 .358 .539
**-.140 .333 .186
Sig. (2- tailed)
.404 .489 .489 .072 1.000 .153 .552 .069 .626 .052 .002 .461 .072 .326
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD5 Pearson Correlation
.242 -.248 -.248 -.333 1 .161 -.089 .063 .157 .062 -.149 -.097 .140 .028 .062
61
Sig. (2- tailed)
.197 .186 .186 .072 .397 .640 .742 .407 .745 .432 .611 .461 .884 .745
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD6
Pearson Correlation
.011 .095 .332 .000 .161 1 -.193 .068 .219 -.034 -.323 .090 -.329 .135 -.117
Sig. (2- tailed)
.952 .618 .073 1.000 .397 .307 .721 .246 .860 .082 .637 .076 .475 .537
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD7
Pearson Correlation
-.017 .094 -.023 -.267 -.089 -.193 1 -.151 -.234 -.199 .239 -.355 .533
**-.535
**-.199
Sig. (2- tailed)
.929 .622 .902 .153 .640 .307 .426 .214 .293 .203 .054 .002 .002 .293
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD8
Pearson Correlation
-.125 .371
*.223 .113 .063 .068 -.151 1 .038 -.105 -.202 .164 .198 .000 -.105
Sig. (2- tailed)
.510 .043 .237 .552 .742 .721 .426 .842 .581 .284 .386 .295 1.000 .581
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD9
Pearson Correlation
-.087 .085 .144 .336 .157 .219 -.234 .038 1 .100 .241 .304 .014 .353 .194
Sig. (2- tailed)
.647 .653 .446 .069 .407 .246 .214 .842 .599 .200 .102 .941 .056 .305
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD10
Pearson Correlation
.349 .077 .179 .093 .062 -.034 -.199 -.105 .100 1 .042 .169 -.176 .139 -.099
Sig. (2- tailed)
.059 .685 .344 .626 .745 .860 .293 .581 .599 .828 .371 .354 .463 .602
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
62
BKUD11
Pearson Correlation
.226 .157 .196 .358 -.149 -.323 .239 -.202 .241 .042 1 .074 .282 -.168 .166
Sig. (2- tailed)
.229 .408 .299 .052 .432 .082 .203 .284 .200 .828 .697 .131 .376 .380
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD12
Pearson Correlation
.014 .056 .293 .539
**-.097 .090 -.355 .164 .304 .169 .074 1 -.139 .301 .169
Sig. (2- tailed)
.940 .767 .117 .002 .611 .637 .054 .386 .102 .371 .697 .462 .106 .371
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD13
Pearson Correlation
-.040 -.101 -.193 -.140 .140 -.329 .533
**.198 .014 -.176 .282 -.139 1 -.604
**-.371
*Sig. (2- tailed)
.834 .595 .306 .461 .461 .076 .002 .295 .941 .354 .131 .462 .000 .044
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD14
Pearson Correlation
-.047 -.011 .153 .333 .028 .135 -.535
**.000 .353 .139 -.168 .301 -.604
**1 .255
Sig. (2- tailed)
.804 .954 .419 .072 .884 .475 .002 1.000 .056 .463 .376 .106 .000 .173
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
BKUD15
Pearson Correlation
-.091 .199 -.126 .186 .062 -.117 -.199 -.105 .194 -.099 .166 .169 -.371
*.255 1
Sig. (2- tailed)
.633 .291 .507 .326 .745 .537 .293 .581 .305 .602 .380 .371 .044 .173
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
63
Correlations
res 1
res 2
res 3
res 4
res5 res6 res7 res8 res 9
res 10
res 11
res1 2
res 13
res 14
res1 5
res1 6
res1 7
res1 8
res1 9
res2 0
res 21
res2 2
res2 3
res 24
res 25
res2 6
res 27
res2 8
res2 9
res 30
res3 1
res3 2
res 33
res3 4
res3 5
res3 6
res3 7
res 38
res 39
res4 0
res4 1
res 42
res4 3
res 1
Pearson Correlat ion
1 .44 3*
- .05 1
- .22 2
.159 .285 - .071
- .021
- .07 1
.21 5
- .00 5
.080 .16 5
.b .025 - .122
- .047
.339 - .265
- .120
- .01 4
.074 - .322
.b .16 4
- .152
.b - .149
- .400
*
- .05 3
- .178
- .242
.06 6
- .170
- .154
- .311
.174 .37 8*
.06 1
- .059
- .172
.18 0
.111
Sig. (2- tailed)
.01 4
.79 0
.23 7
.402 .127 .711 .914 .71 0
.25 5
.97 9
.675 .38 5
. .894 .522 .804 .067 .156 .528 .94 0
.698 .083 . .38 7
.424 . .432 .028 .78 0
.347 .197 .72 8
.369 .416 .094 .358 .03 9
.74 8
.755 .363 .34 1
.561
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 2
Pearson Correlat ion
.44 3*
1 .21 0
- .15 6
.140 .277 - .131
- .320
.04 1
.14 6
.12 7
.012 - .02 8
.b .301 .087 .166 .284 - .042
.140 - .06 0
.065 - .213
.b .17 1
.037 .b .059 - .078
.18 7
- .078
- .213
.05 8
.003 - .004
.028 .223 .42 3*
.09 2
- .009
- .021
.22 4
.069
Sig. (2- tailed)
.01 4
.26 6
.41 0
.462 .138 .491 .084 .82 8
.44 3
.50 5
.951 .88 5
. .106 .646 .381 .128 .828 .459 .75 4
.734 .257 . .36 7
.848 . .759 .681 .32 3
.681 .259 .76 0
.987 .982 .883 .236 .02 0
.62 8
.964 .913 .23 4
.719
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 3
Pearson Correlat ion
- .05 1
.21 0
1 .29 3
- .209
- .040
- .155
- .196
- .02 6
.25 7
- .01 1
.175 - .32 7
.b .195 .218 .155 .074 - .343
- .175
.20 4
- .069
.069 .b - .18 0
.319 .b .189 .195 .17 5
.098 .121 .02 4
.084 - .120
.016 .088 .03 4
.13 4
- .130
.273 .23 0
- .185
Sig. (2- tailed)
.79 0
.26 6
.11 6
.267 .834 .414 .299 .89 2
.17 1
.95 4
.355 .07 8
. .302 .247 .412 .699 .064 .354 .28 0
.716 .718 . .34 2
.085 . .317 .301 .35 5
.608 .524 .89 9
.660 .528 .933 .644 .85 8
.47 9
.493 .144 .22 1
.327
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 4
Pearson Correlat ion
- .22 2
- .15 6
.29 3
1 .029 .191 .176 .031 .05 3
.08 8
- .02 2
.239 - .03 5
.b .000 .149 .053 .178 - .016
- .036
- .06 4
.332 .070 .b .07 4
.147 .b .247 .200 .23 9
.080 .286 .00 0
.109 .045 - .055
.132 - .21 0
.23 6
- .044
.293 .33 7
.000
Sig. (2- tailed)
.23 7
.41 0
.11 6
.881 .312 .352 .871 .78 1
.64 5
.90 7
.203 .85 3
. 1.00 0
.432 .781 .345 .932 .851 .73 6
.073 .711 . .69 9
.438 . .189 .289 .20 3
.674 .125 1.0 00
.565 .815 .773 .486 .26 6
.20 9
.815 .115 .06 9
1.00 0 N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 5
Pearson Correlat ion
.15 9
.14 0
- .20 9
.02 9
1 .721
**
.277 .155 - .07 6
- .12 5
.17 5
.171 .12 6
.b - .305
.106 .038 .127 .198 .359 .02 3
.237 - .025
.b .17 1
.277 .b .403
*
.229 - .08 5
- .200
- .123
.00 0
.279 - .016
- .039
.558
**
.15 0
.25 3
- .127
.324 - .04 8
.188
Lampiran 4
UJI VALIDITAS NON BKUD
64
Sig. (2- tailed)
.40 2
.46 2
.26 7
.88 1
.000 .138 .414 .69 0
.50 9
.35 4
.367 .50 7
. .101 .575 .842 .502 .293 .051 .90 4
.207 .895 . .36 6
.139 . .027 .224 .65 4
.289 .518 1.0 00
.136 .933 .837 .001 .43 0
.17 7
.503 .081 .80 0
.320
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 6
Pearson Correlat ion
.28 5
.27 7
- .04 0
.19 1
.721
**
1 .322 .122 .16 6
.02 4
.22 2
.261 - .11 1
.b - .280
.224 .123 .200 .176 .343 .04 8
.575
**
- .082
.b .12 6
.297 .b .370
*
.382
*
.01 6
- .191
- .101
- .12 2
.228 - .006
- .119
.631
**
.06 7
.29 0
.079 .462
*
.17 5
.096
Sig. (2- tailed)
.12 7
.13 8
.83 4
.31 2
.000 .083 .520 .37 9
.90 0
.23 8
.164 .56 1
. .134 .235 .517 .289 .352 .064 .80 1
.001 .668 . .50 9
.111 . .044 .037 .93 2
.312 .594 .52 1
.226 .975 .532 .000 .72 6
.12 0
.679 .010 .35 6
.615
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 7
Pearson Correlat ion
- .07 1
- .13 1
- .15 5
.17 6
.277 .322 1 .202 .17 8
- .21 6
- .12 2
.484
**
.06 8
.b .045 - .184
- .271
- .143
.654
**
.506
**
.15 8
.309 .553
**
.b - .16 2
.209 .b .379
*
.352 - .14 7
- .070
.111 - .07 9
.415
*
.527
**
.433
*
.392
*
- .11 1
.29 1
.110 .475
**
.20 2
.294
Sig. (2- tailed)
.71 1
.49 1
.41 4
.35 2
.138 .083 .285 .34 7
.25 1
.52 1
.007 .72 0
. .812 .331 .147 .452 .000 .004 .40 3
.097 .002 . .39 2
.267 . .039 .056 .43 7
.711 .559 .67 9
.022 .003 .017 .032 .56 0
.11 8
.564 .008 .28 4
.115
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 8
Pearson Correlat ion
- .02 1
- .32 0
- .19 6
.03 1
.155 .122 .202 1 - .05 7
.23 1
- .16 2
.018 .03 8
.b - .714
**
.023 .016 - .219
.351 .139 - .16 9
- .007
.316 .b - .32 7
.027 .b .256 .062 - .25 9
- .309
- .292
.09 2
.186 .045 .121 .102 - .14 0
.42 0*
.089 .029 .04 2
.380
*
Sig. (2- tailed)
.91 4
.08 4
.29 9
.87 1
.414 .520 .285 .76 3
.22 0
.39 1
.923 .84 1
. .000 .904 .931 .246 .057 .464 .37 2
.969 .089 . .07 7
.888 . .172 .745 .16 7
.096 .117 .62 8
.325 .814 .524 .591 .45 9
.02 1
.638 .880 .82 7
.038
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 9
Pearson Correlat ion
- .07 1
.04 1
- .02 6
.05 3
- .076
.166 .178 - .057
1 .15 1
.18 4
.222 - .10 3
.b .045 .277 .303 .106 .186 .238 - .04 7
.101 .080 .b - .01 2
.110 .b .412
*
.345 - .25 4
.345 .213 .02 0
- .128
.139 .137 - .064
- .29 7
.11 0
.012 - .078
- .03 6
.081
Sig. (2- tailed)
.71 0
.82 8
.89 2
.78 1
.690 .379 .347 .763 .42 5
.33 1
.238 .58 8
. .812 .138 .104 .578 .324 .205 .80 6
.597 .676 . .94 9
.563 . .024 .062 .17 6
.062 .259 .91 7
.499 .463 .469 .738 .11 2
.56 4
.951 .683 .85 1
.669
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 10
Pearson Correlat ion
.21 5
.14 6
.25 7
.08 8
- .125
.024 - .216
.231 .15 1
1 .03 9
- .105
.01 5
.b - .075
.196 .256 - .024
- .272
- .315
.11 3
.042 .062 .b .16 1
.199 .b .170 .175 - .10 5
.044 .025 .29 4
- .027
.039 .039 - .184
.03 1
.07 8
.078 - .164
- .01 5
.250
65
Sig. (2- tailed)
.25 5
.44 3
.17 1
.64 5
.509 .900 .251 .220 .42 5
.83 7
.581 .93 5
. .694 .299 .172 .899 .145 .090 .55 3
.827 .746 . .39 4
.291 . .369 .354 .58 1
.818 .895 .11 5
.886 .837 .839 .329 .87 2
.68 3
.682 .387 .93 8
.183
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 11
Pearson Correlat ion
- .00 5
.12 7
- .01 1
- .02 2
.175 .222 - .122
- .162
.18 4
.03 9
1 .227 - .12 2
.b - .076
.283 .379
*
.167 - .122
.140 .18 6
.069 - .134
.b - .10 3
.330 .b .193 .089 - .17 4
.156 - .006
- .20 0
- .281
.140 .156 - .235
- .08 6
- .05 3
- .094
- .003
- .16 6
.206
Sig. (2- tailed)
.97 9
.50 5
.95 4
.90 7
.354 .238 .521 .391 .33 1
.83 7
.228 .52 1
. .688 .130 .039 .377 .520 .459 .32 4
.718 .481 . .58 9
.075 . .307 .639 .35 9
.409 .973 .29 0
.133 .462 .410 .212 .65 2
.78 2
.620 .988 .38 2
.276
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 12
Pearson Correlat ion
.08 0
.01 2
.17 5
.23 9
.171 .261 .484
**
.018 .22 2
- .10 5
.22 7
1 - .14 7
.b .077 - .089
- .063
- .016
.107 - .054
.07 7
.028 .042 .b - .13 8
.136 .b .116 .120 - .07 1
- .060
- .068
- .13 4
- .019
.127 .125 .144 - .08 3
.31 8
- .146
.128 .14 1
.498
**
Sig. (2- tailed)
.67 5
.95 1
.35 5
.20 3
.367 .164 .007 .923 .23 8
.58 1
.22 8
.43 7
. .687 .640 .739 .931 .572 .778 .68 7
.882 .825 . .46 9
.475 . .542 .529 .70 8
.754 .719 .48 1
.922 .504 .510 .449 .66 1
.08 7
.441 .502 .45 7
.005
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 13
Pearson Correlat ion
.16 5
- .02 8
- .32 7
- .03 5
.126 - .111
.068 .038 - .10 3
.01 5
- .12 2
- .147
1 .b - .030
- .184
- .131
.220 .049 .032 - .01 1
.058 - .006
.b .27 6
- .285
.b - .087
- .176
.16 9
- .176
- .192
.31 5
.168 - .063
- .091
.138 .38 2*
- .02 1
.227 - .230
.02 4
- .015
Sig. (2- tailed)
.38 5
.88 5
.07 8
.85 3
.507 .561 .720 .841 .58 8
.93 5
.52 1
.437 . .874 .331 .490 .242 .797 .868 .95 3
.759 .974 . .14 0
.127 . .648 .352 .37 3
.352 .310 .09 0
.375 .741 .632 .468 .03 7
.91 3
.227 .221 .90 1
.935
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 14
Pearson Correlat ion
.b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b
Sig. (2- tailed)
. . . .
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 15
Pearson Correlat ion
.02 5
.30 1
.19 5
.00 0
- .305
- .280
.045 - .714
**
.04 5
- .07 5
- .07 6
.077 - .03 0
.b 1 - .276
- .216
.047 - .098
- .077
.08 9
- .182
- .045
.b .19 7
- .103
.b - .219
.000 .20 4
.128 .155 - .04 3
.087 .210 .184 - .154
.18 9
- .40 4*
- .200
- .023
.10 1
- .206
66
Sig. (2- tailed)
.89 4
.10 6
.30 2
1.0 00
.101 .134 .812 .000 .81 2
.69 4
.68 8
.687 .87 4
. .139 .252 .805 .607 .687 .63 9
.334 .812 . .29 7
.589 . .246 1.00 0
.27 8
.499 .413 .82 4
.648 .265 .331 .416 .31 7
.02 7
.290 .905 .59 6
.274
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 16
Pearson Correlat ion
- .12 2
.08 7
.21 8
.14 9
.106 .224 - .184
.023 .27 7
.19 6
.28 3
- .089
- .18 4
.b - .276
1 .910
**
- .072
.012 .268 .09 6
.035 .184 .b .00 0
.368
*
.b .342 .149 - .08 9
.298 .128 - .07 4
.035 - .050
.074 .134 .15 6
.32 3
- .100
.259 - .20 1
- .087
Sig. (2- tailed)
.52 2
.64 6
.24 7
.43 2
.575 .235 .331 .904 .13 8
.29 9
.13 0
.640 .33 1
. .139 .000 .707 .949 .153 .61 5
.853 .331 . 1.0 00
.045 . .065 .432 .64 0
.110 .500 .69 7
.855 .793 .698 .479 .41 0
.08 2
.601 .168 .28 7
.647
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 17
Pearson Correlat ion
- .04 7
.16 6
.15 5
.05 3
.038 .123 - .271
.016 .30 3
.25 6
.37 9*
- .063
- .13 1
.b - .216
.910
**
1 .095 - .035
.167 .06 8
- .164
.037 .b - .08 6
.227 .b .243 .027 - .06 3
.345 .015 - .02 0
- .141
- .154
- .064
- .064
.20 4
.12 5
- .130
.007 - .27 7
- .023
Sig. (2- tailed)
.80 4
.38 1
.41 2
.78 1
.842 .517 .147 .931 .10 4
.17 2
.03 9
.739 .49 0
. .252 .000 .619 .856 .378 .72 0
.388 .844 . .65 3
.228 . .195 .889 .73 9
.062 .936 .91 7
.458 .416 .736 .738 .28 0
.50 9
.494 .970 .13 8
.903
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 18
Pearson Correlat ion
.33 9
.28 4
.07 4
.17 8
.127 .200 - .143
- .219
.10 6
- .02 4
.16 7
- .016
.22 0
.b .047 - .072
.095 1 - .160
- .197
- .08 2
.055 - .390
*
.b .17 7
- .368
*
.b - .010
- .261
.23 0
.151 .004 .37 9*
- .117
- .339
- .504
**
.021 .24 5
- .13 0
.241 - .383
*
- .03 7
- .096
Sig. (2- tailed)
.06 7
.12 8
.69 9
.34 5
.502 .289 .452 .246 .57 8
.89 9
.37 7
.931 .24 2
. .805 .707 .619 .397 .296 .66 8
.772 .033 . .35 0
.046 . .960 .164 .22 2
.426 .984 .03 9
.539 .067 .004 .914 .19 3
.49 4
.199 .037 .84 6
.613
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 19
Pearson Correlat ion
- .26 5
- .04 2
- .34 3
- .01 6
.198 .176 .654
**
.351 .18 6
- .27 2
- .12 2
.107 .04 9
.b - .098
.012 - .035
- .160
1 .543
**
.00 3
- .043
.585
**
.b - .21 1
- .171
.b .323 .212 - .18 6
- .033
- .014
- .01 2
.545
**
.288 .487
**
.358 - .18 8
.17 4
- .080
.233 .07 7
.165
Sig. (2- tailed)
.15 6
.82 8
.06 4
.93 2
.293 .352 .000 .057 .32 4
.14 5
.52 0
.572 .79 7
. .607 .949 .856 .397 .002 .98 9
.823 .001 . .26 4
.365 . .082 .260 .32 6
.864 .941 .94 9
.002 .122 .006 .052 .31 9
.35 9
.674 .215 .68 5
.384
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 20
Pearson Correlat ion
- .12 0
.14 0
- .17 5
- .03 6
.359 .343 .506
**
.139 .23 8
- .31 5
.14 0
- .054
.03 2
.b - .077
.268 .167 - .197
.543
**
1 .05 8
.341 .317 .b - .16 5
.372
*
.b .538
**
.359 - .21 5
.144 .154 - .20 1
.364
*
.562
**
.524
**
.399
*
- .06 3
.26 5
.040 .599
**
.15 1
.079
67
Sig. (2- tailed)
.52 8
.45 9
.35 4
.85 1
.051 .064 .004 .464 .20 5
.09 0
.45 9
.778 .86 8
. .687 .153 .378 .296 .002 .76 2
.066 .088 . .38 3
.043 . .002 .051 .25 5
.449 .416 .28 7
.048 .001 .003 .029 .74 2
.15 7
.834 .000 .42 5
.679
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 21
Pearson Correlat ion
- .01 4
- .06 0
.20 4
- .06 4
.023 .048 .158 - .169
- .04 7
.11 3
.18 6
.077 - .01 1
.b .089 .096 .068 - .082
.003 .058 1 - .030
.252 .b - .16 3
.208 .b - .209
.016 - .06 7
- .032
.028 - .15 6
.133 - .029
.131 .019 - .07 8
- .05 7
- .218
.184 - .15 2
.099
Sig. (2- tailed)
.94 0
.75 4
.28 0
.73 6
.904 .801 .403 .372 .80 6
.55 3
.32 4
.687 .95 3
. .639 .615 .720 .668 .989 .762 .873 .180 . .39 1
.270 . .267 .933 .72 4
.866 .885 .41 2
.484 .880 .491 .919 .68 0
.76 5
.247 .330 .42 4
.604
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 22
Pearson Correlat ion
.07 4
.06 5
- .06 9
.33 2
.237 .575
**
.309 - .007
.10 1
.04 2
.06 9
.028 .05 8
.b - .182
.035 - .164
.055 - .043
.341 - .03 0
1 - .142
.b .15 3
.326 .b .267 .379
*
.02 8
.095 .366
*
- .03 5
.063 .386
*
.029 .328 - .05 0
.36 4*
.612
**
.424
*
.30 4
.062
Sig. (2- tailed)
.69 8
.73 4
.71 6
.07 3
.207 .001 .097 .969 .59 7
.82 7
.71 8
.882 .75 9
. .334 .853 .388 .772 .823 .066 .87 3
.454 . .42 0
.079 . .153 .039 .88 2
.618 .046 .85 3
.741 .035 .880 .077 .79 4
.04 8
.000 .020 .10 3
.743
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 23
Pearson Correlat ion
- .32 2
- .21 3
.06 9
.07 0
- .025
- .082
.553
**
.316 .08 0
.06 2
- .13 4
.042 - .00 6
.b - .045
.184 .037 - .390
*
.585
**
.317 .25 2
- .142
1 .b - .13 8
.238 .b .258 .352 - .27 4
- .123
- .010
.01 3
.465
**
.338 .596
**
.169 - .13 5
.17 7
- .149
.418
*
.00 6
.015
Sig. (2- tailed)
.08 3
.25 7
.71 8
.71 1
.895 .668 .002 .089 .67 6
.74 6
.48 1
.825 .97 4
. .812 .331 .844 .033 .001 .088 .18 0
.454 . .46 7
.206 . .169 .056 .14 3
.516 .958 .94 5
.010 .067 .001 .371 .47 6
.35 0
.432 .021 .97 5
.935
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 24
Pearson Correlat ion
.b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b
Sig. (2- tailed)
. . . .
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 25
Pearson Correlat ion
.16 4
.17 1
- .18 0
.07 4
.171 .126 - .162
- .327
- .01 2
.16 1
- .10 3
- .138
.27 6
.b .197 .000 - .086
.177 - .211
- .165
- .16 3
.153 - .138
.b 1 - .191
.b - .130
- .018
.27 5
- .156
- .053
.37 7*
.050 .021 - .071
.028 .06 4
- .24 5
.133 - .123
- .26 4
- .202
68
Sig. (2- tailed)
.38 7
.36 7
.34 2
.69 9
.366 .509 .392 .077 .94 9
.39 4
.58 9
.469 .14 0
. .297 1.00 0
.653 .350 .264 .383 .39 1
.420 .467 . .313 . .494 .923 .14 1
.409 .782 .04 0
.792 .914 .709 .885 .73 6
.19 3
.483 .518 .15 9
.285
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 26
Pearson Correlat ion
- .15 2
.03 7
.31 9
.14 7
.277 .297 .209 .027 .11 0
.19 9
.33 0
.136 - .28 5
.b - .103
.368
*
.227 - .368
*
- .171
.372
*
.20 8
.326 .238 .b - .19 1
1 .b .539
**
.454
*
- .22 4
.053 .187 - .31 9
.051 .397
*
.358 .124 .04 2
.40 2*
- .056
.640
**
.23 9
.123
Sig. (2- tailed)
.42 4
.84 8
.08 5
.43 8
.139 .111 .267 .888 .56 3
.29 1
.07 5
.475 .12 7
. .589 .045 .228 .046 .365 .043 .27 0
.079 .206 . .31 3
. .002 .012 .23 5
.779 .321 .08 6
.789 .030 .052 .513 .82 6
.02 8
.767 .000 .20 4
.517
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 27
Pearson Correlat ion
.b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b .b
Sig. (2- tailed)
. . . .
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 28
Pearson Correlat ion
- .14 9
.05 9
.18 9
.24 7
.403
*
.370
*
.379
*
.256 .41 2*
.17 0
.19 3
.116 - .08 7
.b - .219
.342 .243 - .010
.323 .538
**
- .20 9
.267 .258 .b - .13 0
.539
**
.b 1 .441
*
- .20 0
.229 .262 - .01 3
.278 .340 .365
*
.307 - .11 1
.44 8*
.031 .428
*
.17 2
.216
Sig. (2- tailed)
.43 2
.75 9
.31 7
.18 9
.027 .044 .039 .172 .02 4
.36 9
.30 7
.542 .64 8
. .246 .065 .195 .960 .082 .002 .26 7
.153 .169 . .49 4
.002 . .015 .28 9
.223 .161 .94 5
.137 .066 .047 .099 .56 0
.01 3
.869 .018 .36 3
.251
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 29
Pearson Correlat ion
- .40 0*
- .07 8
.19 5
.20 0
.229 .382
*
.352 .062 .34 5
.17 5
.08 9
.120 - .17 6
.b .000 .149 .027 - .261
.212 .359 .01 6
.379
*
.352 .b - .01 8
.454
*
.b .441
*
1 - .23 9
.220 .344 - .07 5
.406
*
.424
*
.418
*
.300 - .27 9
.11 8
.178 .587
**
.16 9
- .088
Sig. (2- tailed)
.02 8
.68 1
.30 1
.28 9
.224 .037 .056 .745 .06 2
.35 4
.63 9
.529 .35 2
. 1.00 0
.432 .889 .164 .260 .051 .93 3
.039 .056 . .92 3
.012 . .015 .20 3
.243 .063 .69 5
.026 .019 .021 .107 .13 5
.53 4
.347 .001 .37 3
.645
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 30
Pearson Correlat ion
- .05 3
.18 7
.17 5
.23 9
- .085
.016 - .147
- .259
- .25 4
- .10 5
- .17 4
- .071
.16 9
.b .204 - .089
- .063
.230 - .186
- .215
- .06 7
.028 - .274
.b .27 5
- .224
.b - .200
- .239
1 - .418
*
- .411
*
.31 2
- .019
- .274
- .369
*
.036 .33 4
- .21 2
.053 - .112
- .16 1
- .157
69
Sig. (2- tailed)
.78 0
.32 3
.35 5
.20 3
.654 .932 .437 .167 .17 6
.58 1
.35 9
.708 .37 3
. .278 .640 .739 .222 .326 .255 .72 4
.882 .143 . .14 1
.235 . .289 .203 .021 .024 .09 3
.922 .143 .045 .851 .07 1
.26 1
.780 .557 .39 5
.407
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 31
Pearson Correlat ion
- .17 8
- .07 8
.09 8
.08 0
- .200
- .191
- .070
- .309
.34 5
.04 4
.15 6
- .060
- .17 6
.b .128 .298 .345 .151 - .033
.144 - .03 2
.095 - .123
.b - .15 6
.053 .b .229 .220 - .41 8*
1 .859
**
.00 0
- .109
.190 .088 - .204
- .21 0
.00 0
.178 .027 .06 7
- .044
Sig. (2- tailed)
.34 7
.68 1
.60 8
.67 4
.289 .312 .711 .096 .06 2
.81 8
.40 9
.754 .35 2
. .499 .110 .062 .426 .864 .449 .86 6
.618 .516 . .40 9
.779 . .223 .243 .02 1
.000 1.0 00
.565 .315 .643 .279 .26 6
1.0 00
.347 .889 .72 3
.818
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 32
Pearson Correlat ion
- .24 2
- .21 3
.12 1
.28 6
- .123
- .101
.111 - .292
.21 3
.02 5
- .00 6
- .068
- .19 2
.b .155 .128 .015 .004 - .014
.154 .02 8
.366
*
- .010
.b - .05 3
.187 .b .262 .344 - .41 1*
.859
**
1 - .05 7
.049 .345 .199 - .086
- .31 3
.13 5
.242 .237 .23 2
- .109
Sig. (2- tailed)
.19 7
.25 9
.52 4
.12 5
.518 .594 .559 .117 .25 9
.89 5
.97 3
.719 .31 0
. .413 .500 .936 .984 .941 .416 .88 5
.046 .958 . .78 2
.321 . .161 .063 .02 4
.000 .76 5
.796 .062 .293 .651 .09 2
.47 6
.197 .208 .21 8
.567
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 33
Pearson Correlat ion
.06 6
.05 8
.02 4
.00 0
.000 - .122
- .079
.092 .02 0
.29 4
- .20 0
- .134
.31 5
.b - .043
- .074
- .020
.379
*
- .012
- .201
- .15 6
- .035
.013 .b .37 7*
- .319
.b - .013
- .075
.31 2
.000 - .057
1 .140 .050 - .033
- .045
.19 1
- .10 3
.348 - .358
- .17 6
.033
Sig. (2- tailed)
.72 8
.76 0
.89 9
1.0 00
1.00 0
.521 .679 .628 .91 7
.11 5
.29 0
.481 .09 0
. .824 .697 .917 .039 .949 .287 .41 2
.853 .945 . .04 0
.086 . .945 .695 .09 3
1.00 0
.765 .462 .793 .863 .814 .31 2
.58 9
.059 .052 .35 3
.864
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 34
Pearson Correlat ion
- .17 0
.00 3
.08 4
.10 9
.279 .228 .415
*
.186 - .12 8
- .02 7
- .28 1
- .019
.16 8
.b .087 .035 - .141
- .117
.545
**
.364
*
.13 3
.063 .465
**
.b .05 0
.051 .b .278 .406
*
- .01 9
- .109
.049 .14 0
1 .321 .535
**
.699
**
.16 9
.26 7
.014 .502
**
.27 4
- .007
Sig. (2- tailed)
.36 9
.98 7
.66 0
.56 5
.136 .226 .022 .325 .49 9
.88 6
.13 3
.922 .37 5
. .648 .855 .458 .539 .002 .048 .48 4
.741 .010 . .79 2
.789 . .137 .026 .92 2
.565 .796 .46 2
.084 .002 .000 .37 2
.15 3
.942 .005 .14 3
.971
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 35
Pearson Correlat ion
- .15 4
- .00 4
- .12 0
.04 5
- .016
- .006
.527
**
.045 .13 9
.03 9
.14 0
.127 - .06 3
.b .210 - .050
- .154
- .339
.288 .562
**
- .02 9
.386
*
.338 .b .02 1
.397
*
.b .340 .424
*
- .27 4
.190 .345 .05 0
.321 1 .802
**
.067 - .12 5
.21 1
.278 .399
*
.17 3
.279
70
Sig. (2- tailed)
.41 6
.98 2
.52 8
.81 5
.933 .975 .003 .814 .46 3
.83 7
.46 2
.504 .74 1
. .265 .793 .416 .067 .122 .001 .88 0
.035 .067 . .91 4
.030 . .066 .019 .14 3
.315 .062 .79 3
.084 .000 .725 .51 1
.26 3
.137 .029 .36 0
.135
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 36
Pearson Correlat ion
- .31 1
.02 8
.01 6
- .05 5
- .039
- .119
.433
*
.121 .13 7
.03 9
.15 6
.125 - .09 1
.b .184 .074 - .064
- .504
**
.487
**
.524
**
.13 1
.029 .596
**
.b - .07 1
.358 .b .365
*
.418
*
- .36 9*
.088 .199 - .03 3
.535
**
.802
**
1 .136 - .18 1
.24 1
- .020
.416
*
.17 1
.227
Sig. (2- tailed)
.09 4
.88 3
.93 3
.77 3
.837 .532 .017 .524 .46 9
.83 9
.41 0
.510 .63 2
. .331 .698 .736 .004 .006 .003 .49 1
.880 .001 . .70 9
.052 . .047 .021 .04 5
.643 .293 .86 3
.002 .000 .475 .33 9
.20 0
.918 .022 .36 7
.228
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 37
Pearson Correlat ion
.17 4
.22 3
.08 8
.13 2
.558
**
.631
**
.392
*
.102 - .06 4
- .18 4
- .23 5
.144 .13 8
.b - .154
.134 - .064
.021 .358 .399
*
.01 9
.328 .169 .b .02 8
.124 .b .307 .300 .03 6
- .204
- .086
- .04 5
.699
**
.067 .136 1 .23 1
.39 0*
.013 .585
**
.38 5*
.000
Sig. (2- tailed)
.35 8
.23 6
.64 4
.48 6
.001 .000 .032 .591 .73 8
.32 9
.21 2
.449 .46 8
. .416 .479 .738 .914 .052 .029 .91 9
.077 .371 . .88 5
.513 . .099 .107 .85 1
.279 .651 .81 4
.000 .725 .475 .22 0
.03 3
.944 .001 .03 6
1.00 0 N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 38
Pearson Correlat ion
.37 8*
.42 3*
.03 4
- .21 0
.150 .067 - .111
- .140
- .29 7
.03 1
- .08 6
- .083
.38 2*
.b .189 .156 .204 .245 - .188
- .063
- .07 8
- .050
- .135
.b .06 4
.042 .b - .111
- .279
.33 4
- .210
- .313
.19 1
.169 - .125
- .181
.231 1 .23 4
.140 - .084
.04 7
- .031
Sig. (2- tailed)
.03 9
.02 0
.85 8
.26 6
.430 .726 .560 .459 .11 2
.87 2
.65 2
.661 .03 7
. .317 .410 .280 .193 .319 .742 .68 0
.794 .476 . .73 6
.826 . .560 .135 .07 1
.266 .092 .31 2
.372 .511 .339 .220 .21 4
.461 .660 .80 5
.872
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 39
Pearson Correlat ion
.06 1
.09 2
.13 4
.23 6
.253 .290 .291 .420
*
.11 0
.07 8
- .05 3
.318 - .02 1
.b - .404
*
.323 .125 - .130
.174 .265 - .05 7
.364
*
.177 .b - .24 5
.402
*
.b .448
*
.118 - .21 2
.000 .135 - .10 3
.267 .211 .241 .390
*
.23 4
1 .158 .299 .31 9
.440
*
Sig. (2- tailed)
.74 8
.62 8
.47 9
.20 9
.177 .120 .118 .021 .56 4
.68 3
.78 2
.087 .91 3
. .027 .082 .509 .494 .359 .157 .76 5
.048 .350 . .19 3
.028 . .013 .534 .26 1
1.00 0
.476 .58 9
.153 .263 .200 .033 .21 4
.405 .108 .08 6
.015
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 40
Pearson Correlat ion
- .05 9
- .00 9
- .13 0
- .04 4
- .127
.079 .110 .089 .01 2
.07 8
- .09 4
- .146
.22 7
.b - .200
- .100
- .130
.241 - .080
.040 - .21 8
.612
**
- .149
.b .13 3
- .056
.b .031 .178 .05 3
.178 .242 .34 8
.014 .278 - .020
.013 .14 0
.15 8
1 - .095
.00 8
- .029
71
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
b. Cannot be computed because at least one of the variables is constan
Sig. (2- tailed)
.75 5
.96 4
.49 3
.81 5
.503 .679 .564 .638 .95 1
.68 2
.62 0
.441 .22 7
. .290 .601 .494 .199 .674 .834 .24 7
.000 .432 . .48 3
.767 . .869 .347 .78 0
.347 .197 .05 9
.942 .137 .918 .944 .46 1
.40 5
.618 .96 9
.878
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 41
Pearson Correlat ion
- .17 2
- .02 1
.27 3
.29 3
.324 .462
*
.475
**
.029 - .07 8
- .16 4
- .00 3
.128 - .23 0
.b - .023
.259 .007 - .383
*
.233 .599
**
.18 4
.424
*
.418
*
.b - .12 3
.640
**
.b .428
*
.587
**
- .11 2
.027 .237 - .35 8
.502
**
.399
*
.416
*
.585
**
- .08 4
.29 9
- .095
1 .42 3*
- .070
Sig. (2- tailed)
.36 3
.91 3
.14 4
.11 5
.081 .010 .008 .880 .68 3
.38 7
.98 8
.502 .22 1
. .905 .168 .970 .037 .215 .000 .33 0
.020 .021 . .51 8
.000 . .018 .001 .55 7
.889 .208 .05 2
.005 .029 .022 .001 .66 0
.10 8
.618 .02 0
.712
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 42
Pearson Correlat ion
.18 0
.22 4
.23 0
.33 7
- .048
.175 .202 .042 - .03 6
- .01 5
- .16 6
.141 .02 4
.b .101 - .201
- .277
- .037
.077 .151 - .15 2
.304 .006 .b - .26 4
.239 .b .172 .169 - .16 1
.067 .232 - .17 6
.274 .173 .171 .385
*
.04 7
.31 9
.008 .423
*
1 - .059
Sig. (2- tailed)
.34 1
.23 4
.22 1
.06 9
.800 .356 .284 .827 .85 1
.93 8
.38 2
.457 .90 1
. .596 .287 .138 .846 .685 .425 .42 4
.103 .975 . .15 9
.204 . .363 .373 .39 5
.723 .218 .35 3
.143 .360 .367 .036 .80 5
.08 6
.969 .020 .756
N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30
res 43
Pearson Correlat ion
.11 1
.06 9
- .18 5
.00 0
.188 .096 .294 .380
*
.08 1
.25 0
.20 6
.498
**
- .01 5
.b - .206
- .087
- .023
- .096
.165 .079 .09 9
.062 .015 .b - .20 2
.123 .b .216 - .088
- .15 7
- .044
- .109
.03 3
- .007
.279 .227 .000 - .03 1
.44 0*
- .029
- .070
- .05 9
1
Sig. (2- tailed)
.56 1
.71 9
.32 7
1.0 00
.320 .615 .115 .038 .66 9
.18 3
.27 6
.005 .93 5
. .274 .647 .903 .613 .384 .679 .60 4
.743 .935 . .28 5
.517 . .251 .645 .40 7
.818 .567 .86 4
.971 .135 .228 1.00 0
.87 2
.01 5
.878 .712 .75 6 N 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30 30