lampirandigilib.unila.ac.id/1880/12/lampiran-lampiran.pdf · 2014. 6. 2. · i. pertanyaan pembuka...
TRANSCRIPT
LAMPIRAN
Tampilan rumah akun twitter Merpati Nusantara
Contoh kicauan-kicauan akun twitter Merpati Nusantara
KUESIONER PENELITIAN
Nama(*)
:
Nama Akun Twitter(*)
:
Usia :
Jenis Kelamin :
Pekerjaan :
(*)boleh dilewati
I. Pertanyaan Pembuka
Anda menggunakan twitter untuk kepentingan?
a. Komunikasi
b. Media Informasi
c. Media Promosi
d. Sarana Hiburan
e. Lain-lain….
Anda mengakses twitter dengan menggunakan?
a. PC/Komputer
b. Smartphone
c. Lain-lain…
Apakah anda mengikuti (memfollow) akun twitter @MERPATI_info ?
a. Ya
b. Tidak ( berhenti, terimakasih sudah berpartisipasi dalam survey ini)
II. Penggunaan Twitter (Frekuensi dan Durasi Menggunakan Twitter)
1) Sudah berapa lama anda menggunakan / memiliki akun twitter?
a. > 46tahun
b. 5-6 tahun
c. 4-5 tahun
d. 3-4 tahun
e. < 3 tahun
2) Berapa kali anda mengakses twitter dalam sehari ?
a. > 7x sehari
b. 5x-6x sehari
c. 4x-5x sehari
d. 3x-4x sehari
e. < 3x sehari
3) Berapa lama waktu yang biasa anda gunakan setiap kali mengakses twitter?
a. > 15 menit
b. 10-15 menit
c. 5-10 menit
d. 3-5 menit
e. < 3 menit
4) Berapa kali anda membuka timeline akun twitter @MERPATI_info dalam seminggu?
a. >7x dalam seminggu
b. 5x-7x dalam seminggu
c. 3x-5x dalam seminggu
d. 1x-3x dalam seminggu
e. <1x dalam seminggu
III. Pembentukkan Citra Perusahaan
a. Orientasi Terhadap Manfaat
1) Anda merasa mendapatkan manfaat dari kicauan-kicauan (tweets) yang diposting oleh akun
@MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
2) Perusahaan Merpati Nusantara memberikan kesempatan kepada followers nya untuk meminta informasi yang
diinginkan/dibutuhkan?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
3) Kicauan (tweet) yang diposting oleh @MERPATI_info mampu memenuhi kebutuhan informasi anda?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
4) Anda mendapatkan informasi terbaru seputar produk, promo dan layanan dari akun @MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
5) Anda merasa lebih mudah berkomunikasi dengan pihak perusahaan Merpati dengan adanya akun twitter
@MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
b. Citra Yang Realitas
1) Anda mendapatkan informasi yang benar (fakta) dari akun @MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
2) Anda mendapatkan informasi yang dapat dipercaya dari akun @MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
3) Akun @MERPATI_info memberikan tanggapan / penjelasan terhadap keluhan-keluhan yang disampaikan
followersnya?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
c. Citra Yang Ditonjolkan
1) Anda merasa cocok dengan harga tiket yang ditawarkan oleh maskapai Merpati Nusantara?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
2) Merpati Nusantara seringkali mengadakan promo tiket pesawat?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
3) Anda merasa bangga menggunakan jasa penerbangan Merpati Nusantara?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
d. Mudah Dimengerti Sasaran
1) Anda mampu memahami setiap maksud tweet yang disampaikan @MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
2) Akun @MERPATI_info memberikan informasi yang jelas dalam setiap tweetnya?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
3) Anda mengerti setiap tweet yang diposting @MERPATI_info yang tidak lebih dari 140 karakter?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
e. Citra Adalah Sarana, Bukan Tujuan
1) Anda mendapat respond / balasan langsung jika bertanya menggunakan fasilitas mention kepada
@MERPATI_info?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
2) Informasi yang diberikan oleh akun @MERPATI_info bergam (info liburan, tips berpergian, dll) ?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
f.
3) Perusahaan Merpati Nusantara memiliki pelayanan jasa yang unggul?
a. Sangat setuju
b. Setuju
c. Netral (tidak berpendapat)
d. Tidak setuju
e. Sangat tidak setuju
VALIDITAS VARIABEL X DENGAN SPSS
CORRELATIONS
/VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
Notes
Output Created 16-Oct-2013 22:36:36
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working
Data File
9
Missing Value
Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics for each pair of
variables are based on all the
cases with valid data for that pair.
Syntax CORRELATIONS
/VARIABLES=VAR00001
VAR00002 VAR00003
VAR00004 VAR00005
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 00 00:00:00.141
Elapsed Time 00 00:00:00.260
Correlations
VAR0000
1
VAR0000
2
VAR0000
3
VAR0000
4
VAR0000
5
VAR0000
1
Pearson Correlation 1 .407 .205 .593 .703*
Sig. (2-tailed) .277 .597 .092 .035
N 9 9 9 9 9
VAR0000
2
Pearson Correlation .407 1 .447 .589 .855**
Sig. (2-tailed) .277 .227 .095 .003
N 9 9 9 9 9
VAR0000
3
Pearson Correlation .205 .447 1 .316 .668*
Sig. (2-tailed) .597 .227 .407 .049
N 9 9 9 9 9
VAR0000
4
Pearson Correlation .593 .589 .316 1 .775*
Sig. (2-tailed) .092 .095 .407 .014
N 9 9 9 9 9
VAR0000
5
Pearson Correlation .703* .855
** .668
* .775
* 1
Sig. (2-tailed) .035 .003 .049 .014
N 9 9 9 9 9
*. Correlation is significant at the 0.05 level (2-tailed).
**. Correlation is significant at the 0.01 level (2-tailed).
VALIDITAS VARIABEL Y DENGAN SPSS
Validitas Variabel Y Dengan SPSS 19
Correlations
Notes
Output Created 16-Oct-2013 22:40:21
Comments
Input Active Dataset DataSet2
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
9
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics for each pair of variables are
based on all the cases with valid data
for that pair.
Syntax CORRELATIONS
/VARIABLES=VAR00001
VAR00002 VAR00003 VAR00004
VAR00005 VAR00006 VAR00007
VAR00008 VAR00009 VAR00010
VAR00011 VAR00012 VAR00013
VAR00014 VAR00015 VAR00016
VAR00017 VAR00018
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Resources Processor Time 00 00:00:00.171
Elapsed Time 00 00:00:00.190
Correlations
VAR0000
1
VAR0000
2
VAR0000
3
VAR0000
4
VAR0000
5
VAR0000
6
VAR0000
7
VAR0000
8
VAR0000
9
VAR0001
0
VAR0001
1
VAR0001
2
VAR0001
3
VAR0001
4
VAR0001
5
VAR0001
6
VAR0001
7
VAR0001
8
VAR0000
1
Pearson
Correlation
1 .949**
.943**
.891**
.857**
.686* .622 .472 .485 .759
* .759
* .857
** .454 .809
** .857
** .879
** .705
* .946
**
Sig. (2-tailed) .000 .000 .001 .003 .041 .074 .200 .186 .018 .018 .003 .220 .008 .003 .002 .034 .000
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
2
Pearson
Correlation
.949**
1 .909**
.959**
.822**
.672* .590 .395 .391 .575 .575 .870
** .478 .767
* .680
* .850
** .775
* .898
**
Sig. (2-tailed) .000 .001 .000 .007 .047 .095 .292 .298 .105 .105 .002 .193 .016 .044 .004 .014 .001
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
3
Pearson
Correlation
.943**
.909**
1 .866**
.950**
.438 .426 .500 .354 .632 .632 .750* .378 .763
* .800
** .813
** .791
* .880
**
Sig. (2-tailed) .000 .001 .003 .000 .239 .252 .170 .351 .068 .068 .020 .316 .017 .010 .008 .011 .002
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
4
Pearson
Correlation
.891**
.959**
.866**
1 .866**
.650 .554 .433 .408 .548 .548 .866**
.655 .721* .693
* .866
** .822
** .897
**
Sig. (2-tailed) .001 .000 .003 .003 .058 .122 .244 .275 .127 .127 .003 .056 .029 .039 .003 .007 .001
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
5
Pearson
Correlation
.857**
.822**
.950**
.866**
1 .350 .341 .550 .354 .601 .601 .700* .529 .693
* .820
** .800
** .822
** .852
**
Sig. (2-tailed) .003 .007 .000 .003 .356 .369 .125 .351 .087 .087 .036 .143 .038 .007 .010 .007 .004
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
6
Pearson
Correlation
.686* .672
* .438 .650 .350 1 .906
** .406 .707
* .751
* .751
* .875
** .661 .555 .575 .719
* .316 .769
*
Sig. (2-tailed) .041 .047 .239 .058 .356 .001 .278 .033 .020 .020 .002 .052 .121 .105 .029 .407 .015
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
7
Pearson
Correlation
.622 .590 .426 .554 .341 .906**
1 .533 .754* .775
* .775
* .853
** .645 .503 .533 .666 .438 .754
*
Sig. (2-tailed) .074 .095 .252 .122 .369 .001 .140 .019 .014 .014 .003 .061 .168 .140 .050 .238 .019
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000
8
Pearson
Correlation
.472 .395 .500 .433 .550 .406 .533 1 .884**
.672* .672
* .625 .614 .693
* .550 .406 .395 .674
*
Sig. (2-tailed) .200 .292 .170 .244 .125 .278 .140 .002 .047 .047 .072 .078 .038 .125 .278 .292 .046
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0000 Pearson .485 .391 .354 .408 .354 .707* .754
* .884
** 1 .783
* .783
* .707
* .668
* .686
* .566 .442 .224 .692
*
9 Correlation
Sig. (2-tailed) .186 .298 .351 .275 .351 .033 .019 .002 .013 .013 .033 .049 .041 .112 .234 .563 .039
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
0
Pearson
Correlation
.759* .575 .632 .548 .601 .751
* .775
* .672
* .783
* 1 1.000
** .791
* .598 .614 .885
** .751
* .350 .845
**
Sig. (2-tailed) .018 .105 .068 .127 .087 .020 .014 .047 .013 .000 .011 .089 .079 .001 .020 .356 .004
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
1
Pearson
Correlation
.759* .575 .632 .548 .601 .751
* .775
* .672
* .783
* 1.000
** 1 .791
* .598 .614 .885
** .751
* .350 .845
**
Sig. (2-tailed) .018 .105 .068 .127 .087 .020 .014 .047 .013 .000 .011 .089 .079 .001 .020 .356 .004
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
2
Pearson
Correlation
.857**
.870**
.750* .866
** .700
* .875
** .853
** .625 .707
* .791
* .791
* 1 .756
* .693
* .700
* .875
** .632 .946
**
Sig. (2-tailed) .003 .002 .020 .003 .036 .002 .003 .072 .033 .011 .011 .018 .038 .036 .002 .068 .000
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
3
Pearson
Correlation
.454 .478 .378 .655 .529 .661 .645 .614 .668* .598 .598 .756
* 1 .367 .529 .661 .478 .687
*
Sig. (2-tailed) .220 .193 .316 .056 .143 .052 .061 .078 .049 .089 .089 .018 .331 .143 .052 .193 .041
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
4
Pearson
Correlation
.809**
.767* .763
* .721
* .693
* .555 .503 .693
* .686
* .614 .614 .693
* .367 1 .693
* .555 .570 .817
**
Sig. (2-tailed) .008 .016 .017 .029 .038 .121 .168 .038 .041 .079 .079 .038 .331 .038 .121 .109 .007
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
5
Pearson
Correlation
.857**
.680* .800
** .693
* .820
** .575 .533 .550 .566 .885
** .885
** .700
* .529 .693
* 1 .800
** .538 .867
**
Sig. (2-tailed) .003 .044 .010 .039 .007 .105 .140 .125 .112 .001 .001 .036 .143 .038 .010 .136 .002
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
6
Pearson
Correlation
.879**
.850**
.813**
.866**
.800**
.719* .666 .406 .442 .751
* .751
* .875
** .661 .555 .800
** 1 .672
* .898
**
Sig. (2-tailed) .002 .004 .008 .003 .010 .029 .050 .278 .234 .020 .020 .002 .052 .121 .010 .047 .001
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
7
Pearson
Correlation
.705* .775
* .791
* .822
** .822
** .316 .438 .395 .224 .350 .350 .632 .478 .570 .538 .672
* 1 .723
*
Sig. (2-tailed) .034 .014 .011 .007 .007 .407 .238 .292 .563 .356 .356 .068 .193 .109 .136 .047 .028
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
VAR0001
8
Pearson
Correlation
.946**
.898**
.880**
.897**
.852**
.769* .754
* .674
* .692
* .845
** .845
** .946
** .687
* .817
** .867
** .898
** .723
* 1
Sig. (2-tailed) .000 .001 .002 .001 .004 .015 .019 .046 .039 .004 .004 .000 .041 .007 .002 .001 .028
N 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
NEW FILE.
DATASET NAME DataSet1 WINDOW=FRONT.
FREQUENCIES VARIABLES=VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007
VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016
Frequencies
Notes
Output Created 14-Jan-2014 11:40:26
Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
100
Missing Value Handling Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases with
valid data.
Syntax FREQUENCIES
VARIABLES=VAR00001
VAR00002 VAR00003 VAR00004
VAR00005 VAR00006 VAR00007
VAR00008 VAR00009 VAR00010
VAR00011 VAR00012 VAR00013
VAR00014 VAR00015 VAR00016
/ORDER=ANALYSIS.
Resources Processor Time 00 00:00:00,078
Elapsed Time 00 00:00:00,117
Statistics
VAR00001 VAR00002 VAR00003 VAR00004 VAR00005 VAR00006 VAR00007 VAR00008 VAR00009 VAR00010 VAR00011 VAR00012 VAR00013 VAR00014 VAR00015 VAR00016
N Valid 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100
Missing 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Frequency Table
VAR00001
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 6 6,0 6,0 6,0
3,00 24 24,0 24,0 30,0
4,00 48 48,0 48,0 78,0
5,00 22 22,0 22,0 100,0
Total 100 100,0 100,0
VAR00002
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 10 10,0 10,0 10,0
3,00 16 16,0 16,0 26,0
4,00 45 45,0 45,0 71,0
5,00 29 29,0 29,0 100,0
Total 100 100,0 100,0
VAR00003
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 7 7,0 7,0 7,0
3,00 28 28,0 28,0 35,0
4,00 47 47,0 47,0 82,0
5,00 18 18,0 18,0 100,0
Total 100 100,0 100,0
VAR00004
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 2 2,0 2,0 2,0
3,00 25 25,0 25,0 27,0
4,00 46 46,0 46,0 73,0
5,00 27 27,0 27,0 100,0
Total 100 100,0 100,0
VAR00005
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 4 4,0 4,0 4,0
3,00 29 29,0 29,0 33,0
4,00 39 39,0 39,0 72,0
5,00 28 28,0 28,0 100,0
Total 100 100,0 100,0
VAR00006
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 4 4,0 4,0 4,0
3,00 29 29,0 29,0 33,0
4,00 51 51,0 51,0 84,0
5,00 16 16,0 16,0 100,0
Total 100 100,0 100,0
VAR00007
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 3 3,0 3,0 3,0
3,00 29 29,0 29,0 32,0
4,00 50 50,0 50,0 82,0
5,00 18 18,0 18,0 100,0
Total 100 100,0 100,0
VAR00008
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 8 8,0 8,0 8,0
3,00 45 45,0 45,0 53,0
4,00 41 41,0 41,0 94,0
5,00 6 6,0 6,0 100,0
Total 100 100,0 100,0
VAR00009
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 12 12,0 12,0 12,0
3,00 40 40,0 40,0 52,0
4,00 43 43,0 43,0 95,0
5,00 5 5,0 5,0 100,0
Total 100 100,0 100,0
VAR00010
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1,00 3 3,0 3,0 3,0
2,00 2 2,0 2,0 5,0
3,00 39 39,0 39,0 44,0
4,00 49 49,0 49,0 93,0
5,00 7 7,0 7,0 100,0
Total 100 100,0 100,0
VAR00011
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1,00 1 1,0 1,0 1,0
2,00 6 6,0 6,0 7,0
3,00 45 45,0 45,0 52,0
4,00 39 39,0 39,0 91,0
5,00 9 9,0 9,0 100,0
Total 100 100,0 100,0
VAR00012
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 2 2,0 2,0 2,0
3,00 24 24,0 24,0 26,0
4,00 69 69,0 69,0 95,0
5,00 5 5,0 5,0 100,0
Total 100 100,0 100,0
VAR00013
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 1 1,0 1,0 1,0
3,00 20 20,0 20,0 21,0
4,00 74 74,0 74,0 95,0
5,00 5 5,0 5,0 100,0
Total 100 100,0 100,0
VAR00014
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 3 3,0 3,0 3,0
3,00 19 19,0 19,0 22,0
4,00 68 68,0 68,0 90,0
5,00 10 10,0 10,0 100,0
Total 100 100,0 100,0
VAR00015
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 3 3,0 3,0 3,0
3,00 37 37,0 37,0 40,0
4,00 32 32,0 32,0 72,0
5,00 28 28,0 28,0 100,0
Total 100 100,0 100,0
VAR00016
Frequency Percent Valid Percent
Cumulative
Percent
Valid 2,00 2 2,0 2,0 2,0
3,00 31 31,0 31,0 33,0
4,00 57 57,0 57,0 90,0
5,00 10 10,0 10,0 100,0
Total 100 100,0 100,0
Reliability Variabel X Dengan SPSS 19
Notes
Output Created 16-Oct-2013 22:39:03
Comments
Input Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working
Data File
9
Matrix Input
Missing Value
Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data for all variables in
the procedure.
Syntax RELIABILITY
/VARIABLES=VAR00001
VAR00002 VAR00003
VAR00004
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
SCALE
/SUMMARY=TOTAL.
Resources Processor Time 00 00:00:00.047
Elapsed Time 00 00:00:00.050
[DataSet1]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 9 100.0
Excludeda 0 .0
Total 9 100.0
a. Listwise deletion based on all variables
in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.715 4
Item Statistics
Mean
Std.
Deviation N
VAR0000
1
2.2222 1.09291 9
VAR0000
2
3.3333 1.50000 9
VAR0000
3
3.0000 1.11803 9
VAR0000
4
1.6667 .70711 9
Item-Total Statistics
Scale Mean if
Item Deleted
Scale
Variance if
Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
VAR0000
1
8.0000 7.250 .467 .672
VAR0000
2
6.8889 4.861 .617 .591
VAR0000
3
7.2222 7.444 .410 .705
VAR0000
4
8.5556 8.028 .666 .623
Scale Statistics
Mean Variance
Std.
Deviation N of Items
10.2222 11.194 3.34581 4
Reliability Variabel Y Dengan SPSS 19
Notes
Output Created 16-Oct-2013 22:41:34
Comments
Input Active Dataset DataSet3
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working
Data File
9
Matrix Input
Missing Value
Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on all cases
with valid data for all variables in
the procedure.
Syntax RELIABILITY
/VARIABLES=VAR00001
VAR00002 VAR00003
VAR00004 VAR00005
VAR00006 VAR00007
VAR00008 VAR00009
VAR00010 VAR00011
VAR00012 VAR00013
VAR00014 VAR00015
VAR00016 VAR00017
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE
SCALE
/SUMMARY=TOTAL.
Resources Processor Time 00 00:00:00.047
Elapsed Time 00 00:00:00.090
[DataSet3]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases Valid 9 100.0
Excludeda 0 .0
Total 9 100.0
a. Listwise deletion based on all variables
in the procedure.
Reliability Statistics
Cronbach's
Alpha N of Items
.967 17
Item Statistics
Mean
Std.
Deviation N
VAR0000
1
3.7778 .97183 9
VAR0000
2
3.8889 1.05409 9
VAR0000
3
3.6667 1.00000 9
VAR0000
4
4.0000 .86603 9
VAR0000
5
3.7778 .83333 9
VAR0000
6
3.7778 .66667 9
VAR0000
7
3.8889 .78174 9
VAR0000
8
3.2222 .66667 9
VAR0000
9
3.3333 .70711 9
VAR0001
0
3.5556 .52705 9
VAR0001
1
3.5556 .52705 9
VAR0001
2
3.6667 .50000 9
VAR0001
3
3.7778 .44096 9
VAR0001
4
3.8889 .60093 9
VAR0001 3.7778 .83333 9
5
VAR0001
6
3.7778 .66667 9
VAR0001
7
3.4444 .52705 9
Item-Total Statistics
Scale Mean if
Item Deleted
Scale
Variance if
Item Deleted
Corrected
Item-Total
Correlation
Cronbach's
Alpha if Item
Deleted
VAR0000
1
59.0000 85.000 .935 .962
VAR0000
2
58.8889 84.611 .875 .964
VAR0000
3
59.1111 85.861 .854 .964
VAR0000
4
58.7778 87.694 .879 .963
VAR0000
5
59.0000 89.000 .827 .964
VAR0000
6
59.0000 92.750 .740 .965
VAR0000
7
58.8889 91.361 .717 .965
VAR0000
8
59.5556 94.028 .636 .966
VAR0000
9
59.4444 93.278 .653 .966
VAR0001
0
59.2222 93.944 .829 .964
VAR0001
1
59.2222 93.944 .829 .964
VAR0001
2
59.1111 93.361 .940 .964
VAR0001
3
59.0000 96.750 .663 .967
VAR0001
4
58.8889 93.111 .795 .965
VAR0001
5
59.0000 88.750 .844 .964
VAR0001
6
59.0000 91.000 .884 .963
VAR0001
7
59.3333 95.250 .697 .966
Scale Statistics
Mean Variance
Std.
Deviation N of Items
62.7778 102.694 10.13383 17
HASIL OLAH DATA (REGRESI LINIER SEDERHANA)
Regression
Notes
Output Created 25-Oct-2013 21:16:13
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working
Data File
100
Missing Value
Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics are based on cases with
no missing values for any
variable used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Y
/METHOD=ENTER X
/RESIDUALS
HISTOGRAM(ZRESID)
NORMPROB(ZRESID).
Resources Processor Time 00 00:00:02.964
Elapsed Time 00 00:00:02.681
Memory Required 1356 bytes
Additional Memory
Required for Residual
Plots
656 bytes
[DataSet0]
Variables Entered/Removedb
Model
Variables
Entered
Variables
Removed Method
1 Xa . Enter
a. All requested variables entered.
b. Dependent Variable: Y
ANOVAb
Model
Sum of
Squares df Mean Square F Sig.
1 Regression 1772.267 1 1772.267 26.695 .000a
Residual 6506.173 98 66.390
Total 8278.440 99
a. Predictors: (Constant), X
b. Dependent Variable: Y
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 49.193 2.857 17.220 .000
X 1.353 .262 .463 5.167 .000
a. Dependent Variable: Y
Residuals Statisticsa
Minimum Maximum Mean
Std.
Deviation N
Predicted Value 55.9553 72.1854 63.3400 4.23104 100
Residual -15.66034 21.28215 .00000 8.10672 100
Std. Predicted
Value
-1.745 2.091 .000 1.000 100
Std. Residual -1.922 2.612 .000 .995 100
a. Dependent Variable: Y
Charts
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of
the Estimate
1 .463a .214 .206 8.14798
a. Predictors: (Constant), X
b. Dependent Variable: Y