KUISIONER PENELITIAN
PROGRAM STUDI MANAJEMEN
JURUSAN MANAJEMEN
FAKULTAS EKONOMI
UNIVERSITASPENDIDIKAN GANESHA
Kepada
Yth. Saudara/i
Hal : Pengisian Kuesioner
Dengan Hormat,
Dalam rangka menyelesaikan studi di Universitas Pendidikan Ganesha pada
Program Studi Manajemen, dengan ini saya mengadakan penelitian yang berjudul
“Faktor-Faktor Yang Mempengaruhi Keputusan Pembelian Minuman
Dalam Kemasan Teh Botol Sosro Pada Mahasiswa Di Fakultas Ekonomi”.
Maka dengan ini, saya mohon kesediaan Bapak/Ibu, Saudara/i untuk berkenan
mengisi kuesioner ini. Atas kesediaan dan bantuan Saudara/i yang turut
berpartisipasi dalam mengisi kuesioner penelitian ini, saya ucapkan terimakasih.
Singaraja, 05 20April 2020
Peneliti
Putu Ari Astiti
NIM. 1617041200
FAKTOR-FAKTOR
YANG
MEMPENGARUHI
KEPUTUSAN
PEMBELIAN MINUMAN DALAM KEMASAN TEH BOTOL SOSRO PADA
MAHASISWA DI FAKULTAS EKONOMI.
Petunjuk Pengisian Kuesioner :
1. Pernyataan dibawah ini hanya semata-mata untuk data penelitian dalam
rangka menyusun skripsi.
2. Pilihlah salah satu jawaban yang memenuhi persepsi Saudara/i dengan cara
memberi tanda silang (X).
3. Isilah data responden berikut berdasarkan kriteria yang Saudara/i miliki.
4. Jawab pernyataan berikut sesuai dengan persepsi saudra/i dengan
keterangan sebagai berikut :
1.
STS = Sangat Tidak Setuju.
2.
TS = Tidak Setuju.
3.
C
= Cukup.
4.
S
=Setuju.
5.
SS
= Sangat Setuju.
Identitas Responden
Nama :
Umur :
Jenis Kelamin :
Semester :
Jurusan/Prodi :
No
Keterangan
STS TS
KS
S SS
1.
Kemasan teh botol sosro mudah dibawa.
2.
Kualitas yang diberikan memenuhi kebutuhan
mahasiswa.
3.
Harga yang ditawarkan sesuai dengan kualitas
yang diberikan.
4.
Teh botol sosro sangat mampu
mempertahankan citra merk yang dimiliki.
5.
Sejak kecil saya menyukai minuman teh.
6.
Teh botol sosro memiliki harga sesuai kantong
mahasiswa.
7.
Rasa yang diberikan sesuai dengan selera saya
yang tidak suka terlalu manis.
8.
Iklan yang diberikan dengan konsep sederhana
cukup menarik.
9.
Saya minum teh botol sosro sudah lama dan
membuat saya percaya dengan kualitas yang
diberikan.
10
Lokasi penjual teh botol sosro tidak hanya di
toko-toko besar.
11
Berdasarkan pengalaman saya, teh botol sosro
minuman teh yang alami.
12
Distribusi dari teh botol sosro sangat cepat
sehingga produk mudah didapat.
13
Keluarga dirumah sangat menyukai teh botol
sosro.
14
Saya yakin dengan minuman teh botol sosro
menggunakan bahan yang aman.
15
Teh botol sosro meemiliki harga cukup
terjangkau untuk mahasiswa.
LAMPIRAN 03. Data Penelitian
1. Data Ordinal
1
2
3
4
5
Lampiran 04 Hasil Output Data SPSS
1. Hasil Validasi
Correlations X1 X2 X3 X4 X5 X6 X7 X8 X9 X1 0 X1 1 X1 2 X1 3 X1 4 X1 5 TO TA L Pearson 1 .66 .57 .63 .72 .55 .44 .91 .79 .90 .50 .57 .40 .43 .44 .81 Correlati 1** 9** 0** 4** 8** 3** 5** 9** 8** 4** 0** 2** 6** 2** 6** on Sig. .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 (2-tailed 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ) N 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson .66 1 .62 .88 .62 .55 .59 .61 .66 .71 .61 .67 .35 .61 .43 .81 Correlati 1** 3** 2** 6** 2** 7** 9** 1** 3** 3** 5** 5** 3** 1** 8** on Sig. .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 (2-tailed 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 ) N 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson .57 .62 1 .62 .73 .89 .52 .58 .62 .60 .58 .67 .38 .62 .32 .79 Correlati 9** 3** 4** 1** 0** 7** 5** 0** 6** 1** 7** 8** 2** 5** 7** on Sig. .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 (2-tailed 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 ) N 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson .63 .88 .62 1 .52 .62 .62 .55 .62 .65 .64 .72 .48 .63 .45 .82 Correlati 0** 2** 4** 2** 3** 1** 8** 5** 7** 4** 3** 9** 6** 9** 4** on Sig. .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 .00 (2-tailed 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ) N 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson .72 .62 .73 .52 1 .73 .45 .78 .77 .78 .63 .58 .48 .54 .49 .84 Correlati 4** 6** 1** 2** 1** 0** 4** 1** 3** 0** 8** 0** 3** 8** 0** on6 7 8 9 1 0 Sig. (2-tailed ) N .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .55 8** .55 2** .89 0** .62 3** .73 1** 1 .52 7** .57 2** .65 7** .60 1** .66 3** .64 8** .49 8** .60 2** .37 5** .80 8** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .44 3** .59 7** .52 7** .62 1** .45 0** .52 7** 1 .40 1** .38 6** .43 0** .66 7** .64 3** .45 2** .60 8** .37 9** .69 2** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .91 5** .61 9** .58 5** .55 8** .78 4** .57 2** .40 1** 1 .84 2** .87 8** .52 6** .55 3** .43 6** .46 6** .44 7** .81 7** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .79 9** .66 1** .62 0** .62 5** .77 1** .65 7** .38 6** .84 2** 1 .89 6** .54 0** .51 7** .48 2** .41 8** .58 7** .83 5** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .90 8** .71 3** .60 6** .65 7** .78 3** .60 1** .43 0** .87 8** .89 6** 1 .55 0** .57 4** .41 8** .45 6** .51 7** .85 1** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90
1 1 1 2 1 3 1 4 1 5 T T Pearson Correlati on Sig. (2-tailed ) N .50 4** .61 3** .58 1** .64 4** .63 0** .66 3** .66 7** .52 6** .54 0** .55 0** 1 .76 3** .67 1** .70 0** .37 8** .80 2** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .57 0** .67 5** .67 7** .72 3** .58 8** .64 8** .64 3** .55 3** .51 7** .57 4** .76 3** 1 .48 8** .74 4** .42 6** .81 5** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .40 2** .35 5** .38 8** .48 9** .48 0** .49 8** .45 2** .43 6** .48 2** .41 8** .67 1** .48 8** 1 .58 7** .61 3** .66 1** .00 0 .00 1 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .43 6** .61 3** .62 2** .63 6** .54 3** .60 2** .60 8** .46 6** .41 8** .45 6** .70 0** .74 4** .58 7** 1 .43 2** .75 3** .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on Sig. (2-tailed ) N .44 2** .43 1** .32 5** .45 9** .49 8** .37 5** .37 9** .44 7** .58 7** .51 7** .37 8** .42 6** .61 3** .43 2** 1 .62 2** .00 0 .00 0 .00 2 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 Pearson Correlati on .81 6** .81 8** .79 7** .82 4** .84 0** .80 8** .69 2** .81 7** .83 5** .85 1** .80 2** .81 5** .66 1** .75 3** .62 2** 1
L Sig. (2-tailed ) N .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 .00 0 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90
Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 63.05 63.26 63.12 63.35 63.12 63.16 63.52 63.05 63.16 63.16 63.26 63.19 63.09 62.95 62.79 93.274 93.634 93.874 93.360 92.890 93.525 95.542 93.290 92.869 92.559 93.533 93.559 96.118 94.878 97.075 .783 .787 .763 .794 .812 .775 .643 .785 .806 .824 .768 .784 .608 .713 .566 .951 .951 .952 .951 .951 .951 .954 .951 .951 .950 .952 .951 .955 .953 .956
2. Hasil Reliabilitas
Case Processing Summary
N % Cases Valid Excludeda Total 90 100.0 0 .0 90 100.0
a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items .955 15 Item-Total Statistics
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. Bartlett's Test of Sphericity Approx. Chi-Square
Df Sig. .867 1481.980 105 .000
3. Hasil Uji Normalitas
One-Sample Kolmogorov-Smirnov Test
X1 X2 X3 X4 X5 X6 X7 X8 X9 X1 0 X1 1 X1 2 X1 3 X1 4 X1 5 N Normal Mean Paramete rsa,b Std. Deviatio n Most Absolute Extreme Differenc Positive es Negative Kolmogorov-Smirno v Z Asymp. Sig. (2-tailed) 90 4.6 1 .89 2 .27 9 .27 9 -.2 36 2.6 50 .00 0 90 4.4 0 .86 5 .33 9 .19 4 -.3 39 3.2 15 .00 0 90 4.5 4 .87 4 .32 5 .19 7 -.3 25 3.0 85 .00 0 90 4.3 1 .87 6 .31 3 .17 6 -.3 13 2.9 71 .00 0 90 4.5 4 .88 7 .28 6 .22 6 -.2 86 2.7 15 .00 0 90 4.5 0 .88 4 .29 9 .20 9 -.2 99 2.8 37 .00 0 90 4.1 4 .89 3 .24 1 .20 9 -.2 41 2.2 90 .00 0 90 4.6 1 .88 9 .26 7 .25 5 -.2 67 2.5 38 .00 0 90 4.5 0 .89 4 .26 0 .23 8 -.2 60 2.4 66 .00 0 90 4.5 0 .89 5 .25 3 .24 2 -.2 53 2.4 04 .00 0 90 4.4 0 .89 1 .27 9 .20 2 -.2 79 2.6 50 .00 0 90 4.4 6 .87 3 .32 5 .18 6 -.3 25 3.0 86 .00 0 90 4.5 7 .89 3 .26 2 .26 2 -.2 48 2.4 86 .00 0 90 4.7 0 .86 0 .35 2 .20 8 -.3 52 3.3 35 .00 0 90 4.8 7 .87 2 .32 6 .32 6 -.2 51 3.0 95 .00 0 a. Test distribution is Normal.
b. Calculated from data.
4. Hasil Analisis Faktor
X1 X2 X3 X4 X5 X6 X7 X8 X9 X1 0 X1 1 X1 2 X1 3 X1 4 X1 5 Anti-imag X e 1 Covarian X ce 2 X 3 X 4 X 5 X 6 X 7 X 8 X 9 X 1 0 X 1 1 X 1 2 X 1 3 X 1 4 X 1 5 .09 1 .00 4 -.0 04 -.0 15 .01 1 -.0 03 -.0 25 -.0 62 .03 0 -.0 49 .01 5 -.0 09 -.0 12 .02 9 .00 1 .00 4 .12 2 -.0 26 -.0 93 -.0 46 .04 9 -.0 26 .00 3 -.0 13 -.0 06 -.0 25 .02 1 .06 8 -.0 36 -.0 06 -.0 04 -.0 26 .14 2 .01 3 -.0 30 -.0 96 -.0 20 .00 4 -.0 03 .00 4 .05 1 -.0 46 .00 0 -.0 29 .04 1 -.0 15 -.0 93 .01 3 .12 1 .05 8 -.0 40 -.0 07 .01 2 -.0 04 -.0 04 .01 5 -.0 40 -.0 55 .00 6 .00 3 .01 1 -.0 46 -.0 30 .05 8 .17 6 -.0 34 .02 4 -.0 37 .01 2 -.0 25 -.0 36 .01 2 -.0 08 .00 8 -.0 57 -.0 03 .04 9 -.0 96 -.0 40 -.0 34 .13 0 -.0 08 .01 4 -.0 31 .00 9 -.0 38 .01 8 .00 6 -.0 09 .01 0 -.0 25 -.0 26 -.0 20 -.0 07 .02 4 -.0 08 .43 2 .00 4 .02 8 .01 2 -.0 88 -.0 03 .02 3 -.0 22 -.0 79 -.0 62 .00 3 .00 4 .01 2 -.0 37 .01 4 .00 4 .10 0 -.0 45 .01 0 .00 7 -.0 12 -.0 11 -.0 36 .04 0 .03 0 -.0 13 -.0 03 -.0 04 .01 2 -.0 31 .02 8 -.0 45 .11 2 -.0 51 -.0 11 .02 3 -.0 10 .04 8 -.0 69 -.0 49 -.0 06 .00 4 -.0 04 -.0 25 .00 9 .01 2 .01 0 -.0 51 .08 2 -.0 10 -.0 01 .02 2 -.0 10 -.0 04 .01 5 -.0 25 .05 1 .01 5 -.0 36 -.0 38 -.0 88 .00 7 -.0 11 -.0 10 .19 0 -.0 96 -.1 17 -.0 15 .10 9 -.0 09 .02 1 -.0 46 -.0 40 .01 2 .01 8 -.0 03 -.0 12 .02 3 -.0 01 -.0 96 .22 9 .06 8 -.0 70 -.0 72 -.0 12 .06 8 .00 0 -.0 55 -.0 08 .00 6 .02 3 -.0 11 -.0 10 .02 2 -.1 17 .06 8 .29 0 -.0 78 -.1 58 .02 9 -.0 36 -.0 29 .00 6 .00 8 -.0 09 -.0 22 -.0 36 .04 8 -.0 10 -.0 15 -.0 70 -.0 78 .29 8 -.0 34 .00 1 -.0 06 .04 1 .00 3 -.0 57 .01 0 -.0 79 .04 0 -.0 69 -.0 04 .10 9 -.0 72 -.1 58 -.0 34 .37 8 Anti-image Matrices
Anti-imag X e 1 Correlatio X n 2 X 3 X 4 X 5 X 6 X 7 X 8 X 9 X 1 0 X 1 1 X 1 2 X 1 3 X 1 4 X 1 5 .85 9a .03 8 -.0 34 -.1 42 .09 1 -.0 31 -.1 28 -.6 47 .29 4 -.5 61 .11 6 -.0 64 -.0 72 .17 8 .00 8 .03 8 .83 1a -.1 99 -.7 64 -.3 12 .39 4 -.1 13 .02 6 -.1 14 -.0 58 -.1 65 .12 7 .36 3 -.1 90 -.0 29 -.0 34 -.1 99 .86 7a .10 3 -.1 90 -.7 05 -.0 79 .03 5 -.0 21 .03 5 .31 4 -.2 54 .00 1 -.1 41 .17 8 -.1 42 -.7 64 .10 3 .84 1a .40 1 -.3 24 -.0 32 .11 2 -.0 31 -.0 36 .09 9 -.2 38 -.2 95 .03 2 .01 3 .09 1 -.3 12 -.1 90 .40 1 .90 9a -.2 27 .08 6 -.2 77 .08 7 -.2 07 -.1 98 .05 8 -.0 36 .03 5 -.2 22 -.0 31 .39 4 -.7 05 -.3 24 -.2 27 .84 6a -.0 36 .12 3 -.2 57 .09 2 -.2 42 .10 2 .03 3 -.0 44 .04 5 -.1 28 -.1 13 -.0 79 -.0 32 .08 6 -.0 36 .94 8a .01 9 .12 7 .06 5 -.3 08 -.0 11 .06 5 -.0 62 -.1 95 -.6 47 .02 6 .03 5 .11 2 -.2 77 .12 3 .01 9 .87 4a -.4 25 .10 8 .04 9 -.0 82 -.0 66 -.2 06 .20 4 .29 4 -.1 14 -.0 21 -.0 31 .08 7 -.2 57 .12 7 -.4 25 .87 1a -.5 29 -.0 73 .14 1 -.0 55 .26 5 -.3 36 -.5 61 -.0 58 .03 5 -.0 36 -.2 07 .09 2 .06 5 .10 8 -.5 29 .89 8a -.0 80 -.0 08 .14 1 -.0 61 -.0 23 .11 6 -.1 65 .31 4 .09 9 -.1 98 -.2 42 -.3 08 .04 9 -.0 73 -.0 80 .84 1a -.4 59 -.5 01 -.0 65 .40 6 -.0 64 .12 7 -.2 54 -.2 38 .05 8 .10 2 -.0 11 -.0 82 .14 1 -.0 08 -.4 59 .90 1a .26 5 -.2 66 -.2 44 -.0 72 .36 3 .00 1 -.2 95 -.0 36 .03 3 .06 5 -.0 66 -.0 55 .14 1 -.5 01 .26 5 .79 3a -.2 64 -.4 77 .17 8 -.1 90 -.1 41 .03 2 .03 5 -.0 44 -.0 62 -.2 06 .26 5 -.0 61 -.0 65 -.2 66 -.2 64 .92 5a -.1 03 .00 8 -.0 29 .17 8 .01 3 -.2 22 .04 5 -.1 95 .20 4 -.3 36 -.0 23 .40 6 -.2 44 -.4 77 -.1 03 .79 8a
Communalities Initial Extraction X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000 .866 .720 .767 .722 .765 .710 .652 .878 .889 .924 .769 .782 .831 .759 .790 Extraction Method: Principal Component Analysis.
Total Variance Explained
Compo
nent Initial Eigenvalues
Extraction Sums of Squared Loadings
Rotation Sums of Squared Loadings Total % of Variance Cumulati ve % Total % of Variance Cumulati ve % Total % of Variance Cumulati ve % 1 2 3 4 5 6 7 8 dimens i on0 9 10 11 12 13 14 15 9.280 61.870 61.870 9.280 61.870 61.870 4.971 33.139 33.139 1.532 10.213 72.082 1.532 10.213 72.082 4.941 32.939 66.077 1.010 6.731 78.813 1.010 6.731 78.813 1.910 12.735 78.813 .796 5.307 84.120 .525 3.502 87.622 .410 2.735 90.357 .370 2.467 92.823 .276 1.840 94.663 .262 1.749 96.412 .162 1.083 97.496 .107 .713 98.209 .094 .624 98.833 .085 .566 99.399 .051 .337 99.736 .040 .264 100.000
Component Matrixa
Component
X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 .803 .826 .845 .811 .683 .824 .840 .859 .798 .815 .643 .747 .606 .079 .163 -.226 .107 .426 -.446 -.416 -.432 .362 .320 .274 .448 -.040 -.340 -.115 -.023 -.203 -.064 .004 .101 -.004 .041 -.127 .585 .019 .649 Extraction Method: Principal Component Analysis.
Component Matrixa Component 1 2 3 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 .823 .824 .803 .826 .845 .811 .683 .824 .840 .859 .798 .815 .643 .747 .606 -.431 .027 .079 .163 -.226 .107 .426 -.446 -.416 -.432 .362 .320 .274 .448 -.040 -.044 -.201 -.340 -.115 -.023 -.203 -.064 .004 .101 -.004 .041 -.127 .585 .019 .649 Extraction Method: Principal Component Analysis.
Rotated Component Matrixa Component 1 2 3 X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 .288 .642 .710 .702 .429 .686 .759 .262 .258 .297 .758 .801 .406 .788 .154 .870 .548 .511 .439 .730 .481 .145 .877 .855 .890 .257 .317 .162 .162 .363 .159 .087 -.041 .189 .219 .094 .233 .201 .302 .208 .358 .201 .800 .335 .796 Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 7 iterations.
Component Transformation Matrix
Component 1 2 3 1 2 dimens i on0 3 .672 .664 .327 .652 -.740 .162 -.350 -.105 .931
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser