kuesioner pengaruh tayangan drama korea ...repository.untag-sby.ac.id/2166/8/lampiran...

KUESIONER

PENGARUH TAYANGAN DRAMA KOREA TERHADAP MINAT

BELAJAR BAHASA KOREA PADA MAHASISWA UNIVERSITAS 17

AGUSTUS 1945 SURABAYA

Keterangan Petunjuk Pengisisan Kuesioner I

1. Berilah tanda centang () pada bagian kolom sesuai pilihan anda.

2. Setiap pertanyaan dalam kolom hanya dipilih satu jawaban.

3. Seluruh pertanyaan dalam kuesioner harus dijawab.

4. Terdapat beberapa alternative jawaban yang telah disediakan oleh peneliti :

a. Sangat Setuju (SS)

b. Setuju (S)

c. Ragu-ragu (RG)

d. Tidak Setuju (TS)

e. Sangat Tidak Setuju (STS)

a) Data Responden

1. Usia Responden

(…..) 16-21 (…..) 22- 27

2. Jenis Kelamin

(….) Laki-Laki (….) Perempuan

b) Data Peneliti

A. Tayangan Drama Korea

No Pertanyaan Pilihan Jawaban

SS S RG TS STS

Variabel Lingkungan

1. Saya mengetahui drama Korea karena rekomendasi

teman saya yang menyukai drama Korea.

Kognitif

2. Tayangan drama Korea membantu saya belajar bahasa

sehari-hari yang digunakan masyarakat Korea.

3. Tayangan drama Korea dapat menjadi sumber refrensi

saya untuk belajar bahasa Korea.

4.

Melalui tayangan drama Korea saya jadi bisa saling

bertukar informasi mengenai pencucapan bahasa

Korea.

Personal Diversi

5. Saya menyukai tayangan drama Korea yang saya

tonton

6. Tayangan drama Korea menjadi hiburan saya untuk

melepas penat.

Identitas Sosial

7. Tayangan drama Korea sudah sesuai bagi saya

pecinta drama Korea.

8. Tayangan drama Korea menjadi alternatif saya untuk

mempelajari bahasa Korea

9. Tayangan drama Korea menjadi hiburan utama untuk

memenuhi kepuasana pribadi.

B. Minat Belajar Bahasa Korea

No Pertanyaan Jawaban Responden

SS S RG TS STS

Karakteristik

10. Saya menyukai drama Korea karena aktor dan

aktrisnya memiliki wajah yang rupawan.

11. Saya menyukai drama Korea karena mempunyai

berbagi macam genre.

12. Saya menyukai drama Korea karena sountrack yang

diputar sesuai dengan alur cerita.

Isi

13. Saya merasa bahwa alur cerita dalam drama Korea

jelas dan mudah dipahami.

14. Saya menyukai bahasa yang digunakan dalam drama

Korea karena berbeda dengan bahasa lain.

15. Saya mengetahui nama aktris dan aktor dalam

tayangan drama Korea.

16. Tayangan drama Korea dapat meningkatkan imajinasi

saya.

Hubungan

17. Saya menonton drama Korea karena aktris dan aktor

yang saya kagumi bermain dalam drama tersebut.

Sikap

18. Tayangan drama Korea membuat saya berkeinginan

belajar bahasa Korea.

Perilaku

19. Saya sangat menyukai bahasa yang digunakan dalam

drama Korea.

20. Tayangan drama Korea membuat saya ingin

mengikuti kursus bahasa Korea.

21. Saya suka meniru gaya berbicara aktor dan aktri

dalam tayangan drama Korea

No X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 TOTAL

1 4 3 3 3 5 5 5 3 5 36

2 4 5 5 5 5 5 5 5 5 44

3 4 4 4 4 4 5 4 4 5 38

4 4 5 5 5 5 5 5 5 5 44

5 1 5 5 5 5 5 5 5 2 38

6 4 4 4 5 5 5 4 5 4 40

7 4 5 5 4 4 4 4 4 4 38

8 2 5 5 5 4 4 4 5 3 37

9 3 4 5 5 5 5 5 5 4 41

10 2 5 5 5 5 3 3 5 2 35

11 4 5 5 5 5 5 5 5 5 44

12 4 4 4 4 4 4 4 4 4 36

13 2 4 4 3 5 4 3 4 4 33

14 5 5 5 5 5 5 4 4 2 40

15 1 5 5 5 5 5 5 5 5 41

16 1 5 5 5 5 5 5 4 3 38

17 3 4 4 4 4 3 4 4 4 34

18 4 4 5 5 4 5 5 5 4 41

19 4 5 5 5 5 5 5 5 5 44

20 4 5 4 4 3 4 4 5 5 38

21 5 4 5 5 5 5 5 5 5 44

22 5 4 5 5 5 5 5 5 5 44

23 3 4 5 5 5 5 5 5 4 41

24 2 2 4 4 3 2 2 2 2 23

25 5 4 4 4 4 4 4 4 4 37

26 2 4 5 5 3 5 3 5 5 37

27 5 5 5 5 5 5 5 5 5 45

28 5 5 5 5 5 5 5 4 4 43

29 5 5 5 4 4 4 5 5 4 41

30 2 4 3 4 2 5 4 3 4 31

31 4 5 5 5 5 5 5 5 4 43

32 5 4 4 4 4 5 4 4 4 38

33 5 5 5 5 5 4 4 5 3 41

34 5 4 4 4 5 4 4 2 4 36

35 4 4 4 4 4 5 3 5 2 35

36 2 5 5 5 5 5 5 5 4 41

37 5 5 4 4 5 5 5 4 4 41

38 3 3 4 3 5 5 4 4 5 36

39 5 4 4 4 4 4 4 5 4 38

40 4 5 5 5 5 5 4 5 5 43

41 2 2 4 4 4 4 2 4 2 28

42 2 5 5 5 4 4 5 5 5 40

43 4 3 4 4 5 5 4 3 5 37

44 4 4 4 4 4 3 3 2 1 29

45 5 5 5 5 3 3 3 5 5 39

46 4 4 4 4 3 3 2 4 3 31

47 4 4 4 4 4 4 4 4 4 36

48 1 5 5 4 4 4 3 4 3 33

49 4 4 4 4 5 5 5 4 5 40

50 4 4 4 4 4 4 4 4 4 36

51 4 3 4 4 4 5 4 4 4 36

52 4 4 3 4 5 5 5 3 4 37

53 4 3 3 3 4 3 3 3 3 29

54 5 5 4 5 4 4 4 4 4 39

55 4 4 4 4 4 4 4 4 4 36

56 5 5 5 5 5 5 4 5 4 43

57 4 4 4 4 4 4 4 4 4 36

58 2 5 4 2 2 5 4 4 5 33

59 4 4 4 4 4 2 4 4 4 34

60 4 4 3 3 4 4 3 3 4 32

61 4 4 4 4 4 4 4 4 4 36

62 4 4 4 4 3 4 3 4 4 34

63 1 4 4 3 4 4 3 3 4 30

64 4 4 4 4 4 4 4 4 3 35

65 4 3 3 3 3 4 3 3 3 29

66 4 4 4 4 4 4 4 4 3 35

67 4 4 4 4 4 4 4 4 4 36

68 4 4 5 4 4 5 4 5 4 39

69 4 4 4 4 4 4 4 4 4 36

70 4 4 4 4 4 4 4 4 4 36

71 5 4 5 5 5 5 4 4 5 42

72 4 4 3 4 4 4 4 3 2 32

73 5 5 4 3 5 5 5 4 4 40

74 4 4 4 3 5 5 5 4 4 38

75 4 4 4 4 4 4 4 4 4 36

76 4 4 4 4 4 5 4 4 4 37

77 2 2 1 3 4 3 2 3 2 22

78 4 5 5 5 3 5 5 4 5 41

79 2 5 5 5 5 5 5 5 5 42

80 2 4 4 3 4 5 5 4 4 35

81 4 4 4 4 5 5 4 4 5 39

82 3 3 4 3 5 4 4 3 4 33

83 4 3 3 3 3 3 4 3 3 29

84 4 4 4 4 5 4 5 3 4 37

85 4 3 3 3 4 4 4 3 4 32

86 4 3 2 2 4 4 3 2 4 28

87 5 5 5 5 5 5 5 5 5 45

88 2 4 4 4 4 4 4 4 4 34

89 4 4 4 4 4 4 4 4 4 36

90 2 4 4 4 4 4 4 4 4 34

91 4 4 4 4 5 5 5 5 5 41

92 4 5 5 5 5 5 5 5 5 44

93 4 4 4 4 4 4 4 4 4 36

94 4 4 4 4 4 4 4 4 4 36

95 4 4 4 4 4 4 4 4 4 36

96 4 5 5 5 5 5 4 4 2 39

97 4 4 4 4 4 4 4 3 4 35

98 4 5 5 5 5 5 5 5 5 44

99 4 4 4 4 4 4 4 3 4 35

100 4 4 4 4 4 4 4 4 3 35

No Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12 TOTAL

1 5 5 5 5 4 5 5 5 5 5 5 4 58

2 5 4 4 4 4 4 4 5 5 5 4 3 51

3 5 4 5 4 4 3 5 4 5 4 3 4 50

4 4 5 4 5 4 4 4 5 5 5 5 5 55

5 2 5 5 5 5 5 5 5 5 5 5 5 57

6 5 5 5 5 4 4 4 5 4 4 3 4 52

7 3 5 4 4 4 4 4 5 5 4 5 6 53

8 2 5 5 4 5 4 4 4 4 5 5 3 50

9 5 5 4 4 4 5 4 4 4 4 4 5 52

10 5 4 5 5 3 4 4 5 5 5 3 3 51

11 5 5 4 4 4 4 5 4 4 4 3 4 50

12 4 4 4 3 3 3 4 5 3 3 3 3 42

13 2 5 3 3 3 4 2 5 3 4 3 2 39

14 5 4 5 5 5 5 5 5 5 5 4 4 57

15 5 5 5 5 5 5 5 5 5 5 5 5 60

16 5 5 4 4 5 4 5 3 5 5 5 4 54

17 2 4 2 4 4 4 3 2 2 3 4 4 38

18 4 5 3 3 1 2 5 5 5 5 5 4 47

19 5 5 5 5 5 5 5 5 5 5 5 5 60

20 3 4 5 3 3 3 4 4 4 3 4 4 44

21 5 5 5 5 5 5 4 5 5 4 3 4 55

22 5 5 5 5 5 5 5 5 5 5 4 5 59

23 4 5 3 3 4 3 4 4 5 4 3 3 45

24 4 4 3 3 3 2 2 4 2 4 2 2 35

25 4 4 3 4 4 4 4 4 4 4 3 4 46

26 3 5 4 4 5 5 3 4 5 4 5 3 50

27 5 5 5 5 5 5 5 5 5 5 4 5 59

28 5 5 5 5 5 5 5 5 4 5 3 5 57

29 3 5 4 2 4 4 5 4 5 3 2 2 43

30 5 4 4 3 3 3 4 5 3 4 3 3 44

31 4 4 4 4 4 4 4 4 4 4 5 4 49

32 4 4 4 4 4 4 4 4 3 3 2 4 44

33 5 4 4 4 4 4 4 5 5 3 3 5 50

34 4 3 3 4 4 2 4 2 4 4 2 2 38

35 4 5 3 5 2 2 2 2 4 3 3 4 39

36 5 5 4 3 4 4 3 3 4 4 4 4 47

37 4 4 4 4 4 4 4 4 4 4 4 4 48

38 4 5 4 4 2 4 5 5 3 2 2 3 43

39 5 5 5 4 5 3 5 5 4 5 5 3 54

40 5 5 4 5 5 5 5 5 5 5 5 4 58

41 4 5 4 2 4 2 4 5 5 5 5 4 49

42 4 5 4 4 4 5 5 4 4 4 3 5 51

43 5 4 5 3 4 4 4 4 4 4 3 3 47

44 2 2 2 4 2 3 4 3 2 2 2 4 32

45 5 4 5 4 4 3 5 4 3 5 2 4 48

46 4 4 5 3 4 2 4 3 3 4 2 4 42

47 4 5 3 3 4 4 4 4 4 4 4 4 47

48 2 5 4 4 4 3 4 3 4 5 5 2 45

49 5 5 5 4 4 4 4 5 4 4 3 4 51

50 4 4 4 4 4 4 4 4 4 4 4 4 48

51 4 4 4 4 4 2 4 4 4 4 3 4 45

52 5 5 4 5 3 5 5 4 3 4 3 3 49

53 4 3 4 4 3 2 2 2 3 3 3 2 35

54 2 4 4 5 4 4 4 4 4 4 2 4 45

55 5 4 4 4 4 4 4 5 4 4 4 2 48

56 4 5 5 4 4 3 4 5 4 4 4 5 51

57 4 2 2 4 2 2 2 4 2 2 2 2 30

58 5 2 2 2 2 4 2 4 5 4 5 2 39

59 4 4 4 2 3 2 4 5 3 3 3 2 39

60 4 4 4 2 3 2 4 5 3 3 3 4 41

61 4 4 4 3 4 3 4 4 4 4 3 4 45

62 4 4 4 3 4 4 4 4 4 4 3 4 46

63 2 4 4 3 4 3 4 3 4 4 1 3 39

64 4 3 4 4 4 4 4 4 4 4 3 3 45

65 4 3 3 4 3 2 3 2 3 3 3 2 35

66 4 4 4 4 4 3 3 4 4 4 3 3 44

67 4 4 4 4 4 4 4 4 4 4 4 4 48

68 4 4 5 4 4 4 5 4 5 4 3 4 50

69 4 4 4 4 4 4 4 4 4 4 4 4 48

70 4 4 4 4 4 4 4 4 4 4 4 4 48

71 5 4 5 4 4 2 3 2 5 5 5 4 48

72 2 4 5 4 2 3 2 2 4 3 3 3 37

73 4 5 5 3 4 4 5 4 3 5 2 2 46

74 4 4 4 4 4 3 4 4 5 4 4 4 48

75 4 4 4 4 4 4 4 4 4 4 4 4 48

76 5 5 5 4 4 4 4 4 4 4 3 3 49

77 5 3 2 4 3 3 2 2 1 1 2 5 33

78 4 3 5 4 3 2 3 3 3 3 2 4 39

79 5 2 5 2 2 5 5 5 4 5 5 2 47

80 5 5 5 5 4 4 4 5 5 4 4 4 54

81 5 5 4 4 4 3 4 4 4 4 4 4 49

82 4 4 4 4 4 3 3 4 3 4 2 3 42

83 4 3 3 4 3 4 3 4 3 3 3 3 40

84 4 5 5 4 3 4 4 5 4 4 3 3 48

85 4 4 4 4 3 3 4 3 2 3 2 2 38

86 3 4 4 3 3 2 3 2 2 3 2 2 33

87 5 5 5 2 5 4 4 4 3 3 3 3 46

88 4 4 4 4 4 4 4 5 5 5 5 5 53

89 4 4 4 4 4 4 4 4 4 4 3 4 47

90 4 4 4 4 4 4 4 4 4 4 3 4 47

91 4 4 4 5 5 4 4 4 4 4 3 4 49

92 5 5 5 3 5 4 4 4 4 5 5 2 51

93 4 4 4 4 4 4 4 5 5 5 5 5 53

94 4 4 4 4 4 4 4 4 4 4 4 4 48

95 4 4 4 3 4 4 4 5 4 4 5 4 49

96 5 4 4 3 4 2 4 5 4 4 5 4 48

97 4 5 3 3 4 3 3 3 3 4 2 5 42

98 5 5 5 5 5 5 4 4 4 4 3 4 53

99 4 4 3 4 3 4 5 5 5 5 5 5 52

100 2 2 5 2 5 4 4 4 2 4 4 4 42

FREQUENCIES VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Y.1

Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12

/HISTOGRAM NORMAL

/ORDER=ANALYSIS.

Frequencies

Notes

Output Created 09-JUL-2019 15:01:32 Comments Input Data C:\Users\user\Desktop\dim\Data

tabuliasi responden.sav

Active Dataset DataSet0

Filter

Weight

Split File

N of Rows in Working Data File

100

Matrix Input Missing Value Handling Definition of Missing User-defined missing values are

treated as missing.

Cases Used Statistics are based on all cases with

valid data.

Syntax

FREQUENCIES VARIABLES=X.1 X.2

X.3 X.4 X.5 X.6 X.7 X.8 X.9 Y.1 Y.2

Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11

Y.12

/HISTOGRAM NORMAL /ORDER=ANALYSIS.

Resources Processor Time 00:00:11.53

Elapsed Time 00:00:18.92

[DataSet0] C:\Users\user\Desktop\dim\Data tabuliasi

responden.sav

Statistics

X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9

N Valid 100 100 100 100 100 100 100 100 100

Missing 0 0 0 0 0 0 0 0 0

Statistics

Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12

N Valid 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

Frequency Table

CORRELATION

/VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X

/PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.

Correlations

Notes

Output Created 09-JUL-2019 15:01:32 Comments Input Active Dataset DataSet0

Filter

Weight

Split File


100

Missing Value Handling Definition of Missing User-defined missing values are

treated as missing.

Cases Used Statistics for each pair of variables

are based on all the cases with valid

data for that pair.

Syntax

CORRELATIONS /VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X /PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE. Resources Processor Time 00:00:00.03


Correlations

X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9 Total_X X.1 Pearson

Correlation 1 .082 .001 .090 .143 .080 .185 .022 .197 .593**

Sig. (2-tailed) .416 .966 .375 .157 .428 .065 .831 .050 .000 N 100 100 100 100 100 100 100 100 100 100 X.2 Pearson

Correlation .082 1 .708** .539

** .259** .370** .522** .613** .257** .721**


Correlation .001 .708

** 1 .778

** .365* .391** .454** .719** .258** .758**



** .778

** 1 .377

** .315

** .393

** .658

** .132 .706

**



** .365

** .377

** 1 .460

** 528

** .290

** .161 .585

**



** 391

** .315

** .460

** 1 638

** 435

** .459

** .685

**



** .454

** .393

** .528

** .638

** 1 .436

** .520

** .782

**



** .719

** .658

** .290

** .435

** .436

** 1 .349

** .744

**



** .258

** .132 .161 .459

** .520

** .349

** 1 .587

**

Sig. (2-tailed) .050 .010 .010 .189 .109 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100 Total_X

Pearson Correlation

.369** .721

** .758

** .706

** .585

** .685

** .782

** .744

** .587

** 1

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 N 100 100 100 100 100 100 100 100 100 100

**. Correlation is significant at the 0.01 level (2-tailed).

CORRELATIONS

/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12

Total_Y

/PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.

Correlations

Notes


Filter

Weight

Split File


100

Missing Value Handling Definition of Missing User-defined missing values are

treated as missing.

Cases Used Statistics for each pair of variables

are based on all the cases with valid

data for that pair.

Syntax

CORRELATIONS /VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12 Total_Y /PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE. Resources Processor Time 00:00:00.02


[DataSet1]

Correlations

Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y. Y.10

Y.1 Pearson Correlation 1 .161 .249

* .175 .159 .180 .254

* .300

** .253

* .224

*

Sig. (2-tailed) .109 .012 .082 .115 .074 .011 .002 .011 .025 N

100 100 100 100 100 100 100 100 100 100

Y.2 Pearson Correlation .161 1 .371

** .262

** .425

** .321

** .374

** .309

** .408

** .396

**

Sig. (2-tailed) .109 .000 .008 .000 .001 .000 .002 .000 .000

N 100 100 100 100 100 100 100 100 100 100

Y.3 Pearson Correlation .249

* .371

** 1 .195 .477

** .308

** .485

** .336

** .351

** .454

**

Sig. (2-tailed) .012 .000 .052 .000 .002 .000 .001 .000 .000

N 100 100 100 100 100 100 100 100 100 100

Y.4 Pearson Correlation .175 .262

** .195 1 .291

** .401

** .184 .075 .291

** .212

*

Sig. (2-tailed) .082 .008 .052 .003 .000 .067 .459 .003 .034

N 100 100 100 100 100 100 100 100 100 100


** .477

** .291

** 1 .485

** .402

** .207

* .365

** .493

**

Sig. (2-tailed) .115 .000 .000 .003 .000 .000 .039 .000 .000

N 100 100 100 100 100 100 100 100 100 100


** .308

** .401

** .485

** 1 .470

** .446

** .397

** .375

**

Sig. (2-tailed) .074 .001 .002 .000 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


* .374

** .485

** .184 .402

** .470

** 1 .528

** .441

** .508

**

Sig. (2-tailed) .011 .000 .000 .067 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


** .309

** .336

** .075 .207

* .446

** .528

** 1 .446

** .433

**

Sig. (2-tailed) .002 .002 .001 .459 .039 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


* .408

** .351

** .291

** .365

** .397

** .441

** .446

** 1 .656

**

Sig. (2-tailed) .011 .000 .000 .003 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


* .396

** .454

** .212

* .493

** .375

** .508

** .433

** .656

** 1

Sig. (2-tailed) .025 .000 .000 .034 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


* .396

** .454

** .212

* .493

** .375

** .508

** .433

** .656

** 1

Sig. (2-tailed) .025 .000 .000 .034 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100


** .140 .393

** .351

** .321

** .316

** .256

* .352

** .208

*

Sig. (2-tailed) .215 .005 .165 .000 .000 .001 .001 .010 .000 .038

N 100 100 100 100 100 100 100 100 100 100

Total_Y

Pearson Correlation .432

** .597

** .591

** .475

** .655

** .681

** .692

** .639

** .755

** .744

**

Sig. (2-tailed) .000 .000 .000 .000 .000 .000 .000 .000 .000 .000

N 100 100 100 100 100 100 100 100 100 100

Correlations

Y.11 Y.12 Total_Y

Y.1 Pearson Correlation .130 .125 .432

**

Sig. (2-tailed) .196 .215 .000

N 100 100 100


* .279

** .597

**

Sig. (2-tailed) .025 .005 .000

N 100 100 100

Y.3 Pearson Correlation .158 .140 .591

**

Sig. (2-tailed) .117 .165 .000

N 100 100 100


** .475

**

Sig. (2-tailed) .387 .000 .000

N 100 100 100


** .351

** .655

**

Sig. (2-tailed) .005 .000 .000

N 100 100 100


** .321

** .681

**

Sig. (2-tailed) .001 .001 .000

N 100 100 100


* .316

** .692

**

Sig. (2-tailed) .014 .001 .000

N 100 100 100


** .256

* .639

**

Sig. (2-tailed) .000 .010 .000

N 100 100 100


** .352

** .755

**

Sig. (2-tailed) .000 .000 .000

N 100 100 100


** .208

* .744

**

Sig. (2-tailed) .000 .038 .000

N 100 100 100

Y.11 Pearson Correlation 1 .297

** .602

**

Sig. (2-tailed) .003 .000 N

100 100 100 Y.12 Pearson

Correlation .297** 1 .556

**

Sig. (2-tailed) .003 .000

N 100 100 100

Total_Y

Pearson Correlation .602

** .556

** 1

Sig. (2-tailed) .000 .000

N 100 100 100

*. Correlation is significant at the 0.05 level (2-tailed).

**. Correlation is significant at the 0.01 level (2-tailed).

DATASET ACTIVATE DataSet0.

RELIABILITY

/VARIABLES=X.1 X.2 X.3 X.4 X.5 X.6 X.7 X.8 X.9

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Filter

Weight

Split File


100


treated as missing.

Cases Used Statistics are based on all cases

with valid data for all variables in the

procedure.

Syntax

RELIABILITY

/VARIABLES=X.1 X.2 X.3 X.4 X.5

X.6 X.7 X.8 X.9


/MODEL=ALPHA

/SUMMARY=TOTAL. Resources Processor Time 00:00:00.02


[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 100 100.0

Excludeda 0 .0

Total 100 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha N of Items

.818 9

Item-Total Statistics

Scale Mean if Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

X.1 33.33 19.072 .143 .861 X.2 32.84 17.287 .632 .788 X.3 32.79 16.996 .677 .782 X.4 32.85 17.341 .612 .790 X.5 32.73 18.260 .470 .805 X.6 32.66 17.580 .588 .793 X.7 32.90 16.576 .703 .778 X.8 32.92 16.701 .650 .783 X.9 33.06 17.471 .434 .812

RELIABILITY

/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5 Y.6 Y.7 Y.8 Y.9 Y.10 Y.11

Y.12


/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Filter

Weight

Split File


100


treated as missing.

Cases Used Statistics are based on all cases

with valid data for all variables in the

procedure.

Syntax

RELIABILITY

/VARIABLES=Y.1 Y.2 Y.3 Y.4 Y.5

Y.6 Y.7 Y.8 Y.9 Y.10 Y.11 Y.12


/MODEL=ALPHA

/SUMMARY=TOTAL. Resources Processor Time 00:00:00.02


[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 100 100.0

Excludeda 0 .0

Total 100 100.0

a. Listwise deletion based on all variables in the procedure.

Reliability Statistics Cronbach's

Alpha N of Items

851 12

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

Y.1 42.81 38.398 .311 .854

Y.2 42.68 37.109 .510 .840

Y.3 42.81 37.105 .502 .841

Y.4 43.09 38.204 .368 .849

Y.5 43.09 36.164 .572 .836

Y.6 43.28 35.194 .592 .834

Y.7 42.96 35.958 .617 .833

Y.8 42.83 35.961 .546 .837

Y.9 42.98 34.444 .683 .827

Y.10 42.92 35.488 .681 .829

Y.11 43.41 35.396 .482 .843

Y.12 43.26 36.578 .440 .846

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT Y

/METHOD=ENTER X.

Regression


Filter

Weight

Split File


100


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.. Resources Processor Time 00:00:00.03


Memory Required 1356 bytes Additional Memory

Required for Residual Plots

0 bytes

[DataSet0]

Variables Entered/Removeda

Model Variables

Entered

Variables

Removed

Method

1 Tayangan Drama

Koreab

Enter

a. Dependent Variable: Minat Belajar Bahasa Korea

b. All requested variables entered.

Model Summary

Model R R Square Adjusted R

Square

Std. Error of

the Estimate

1 .679a .462 .456 4.81676

a. Predictors: (Constant), Tayangan Drama Korea

Model Summary

Model Sum of

Squares

df Mean

Square

F Sig.

1 Regression 1949.648 1 1949.648 84.032 .000b

Residual 2273.712 98 23.201

Total 4223.360 99


b. Predictors: (Constant), Tayangan Drama Korea

ANOVAa

Model Sum of

Squares

df Mean

Square

F Sig.

1 Regression 1949.648 1 1949.648 84.032 .000b

Residual 2273.712 98 23.201

Total 4223.360 99


b. Predictors: (Constant), Tayangan Drama Korea

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients t Sig.

. B Std. Error Beta

1 (Constant) 11.603 3.883 23.201

2.988 .004

Tayangan Drama Korea .954 .104

.679 9.167

.000


kuesioner pengaruh tayangan drama korea ...repository.untag-sby.ac.id/2166/8/lampiran...

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