3.etheses.uin-malang.ac.id/1605/3/10410103_lampiran.pdf205 skala pengukuran kebutuhan psikologis 1....

204

LAMPIRAN

3.

1. Skala Pengukuran Kebutuhan Psikologis

2. Skala Academic Hardiness

3. Input Data Kebutuhan Psikologis

4. Input Data Academic Hardiness

5. Hasil Analisis CFA (Confirmatori Factor Analysis)

6. Hasil Uji Normalitas

7. Hasil Uji Pengaruh

205

SKALA PENGUKURAN KEBUTUHAN PSIKOLOGIS

1. Saya merasa bebas memutuskan bagaimana saya menjalani hidup sesuai keinginan

saya *

2. Saya sangat senang berinteraksi dengan orang lain *

3. Saya sering merasa tidak punya kepandaian

4. Saya merasa tertekan dalam hidup

5. Banyak orang yang mengatakan bahwa saya mempunyai prestasi baik

6. Saya akrab dengan orang yang memiliki kontak dengan saya *

7. Saya sangat menutup diri dan tidak memiliki banyak teman

8. Secara umum saya merasa bebas mengekspresikan ide dan pendapat saya

9. Saya menganggap orang disekitar saya sebagai teman

10. Saya bisa belajar keterampilan baru yang menarik *

11. Dalam hidup sehari-hari saya, saya sering terpaksa harus melakukan apa yang saya

katakan

12. Orang dalam hidupku peduli padaku

13. Saya merasa puas dengan prestasi yang saya capai

14. Orang yang berteman denganku, peduli terhadap perasaanku *

15. Dalam hidup saya, saya tidak banyak mendapatkan kesempatan untuk menunjukkan

kemampuan saya.

16. Tidak banyak orang yang dekat dengan saya

17. Saya merasa seperti sangat beruntung menjadi diri sendiri dalam keseharian saya

18. Teman-teman yang sering berinteraksi denganku nampaknya tidak terlalu

menyukaiku

19. Saya sering merasa tidak mampu

20. Tidak banyak kesempatan bagiku untuk memutuskan apa yang harus saya lakukan

setiap harinya

206

21. Orang lain umumnya merasa beruntung berteman denganku *

SKALA PENGUKURAN ACADEMIC HARDINESS

1. Saya menilai diri saya sebagai seorang siswa yang serius *

2. Saya berusaha mendapatkan bantuan dalam belajar bila tidak mendapatkan nilai

yang saya inginkan dalam kelas aksel

3. Saya mengambil kelas aksel karena saya tahu ini akan menguntungkan saya

dalam jangka panjang

4. Saya bukan siswa yang serius dalam belajar

5. Saya bisa tetap tenang dan dapat belajar dari kegagalan selama belajar di kelas

aksel

6. Saya tahu kapan harus meminta bantuan

7. Saya bersedia untuk mengambil kelas aksel meskipun saya berisiko

mendapatkan nilai buruk *

8. Saya cenderung diam atau tidak pertanyaan ketika bingung tentang sekolah

9. Saya tetap tenang meskipun sempat khawatir pada kemampuan saya dalam

mengerjakan tes atau tugas di kelas aksel

10. Saya belajar giat untuk mendapat nilai yang baik

11. Saya tetap tenang saat tidak mampu mengerjakan tes dengan baik

12. Seandainya saya di kelas reguler, saya akan merasa senang, karena memudahkan

mendapat bilai yang tinggi.

13. Saya berusaha mencari bantuan dari guru saat prestasi saya buruk

14. Saya berusaha keras di semua mata pelajaran

15. Masuk kelas aksel merupakan tantangan yang menarik bagi saya.

16. Kegagalan mendapat nilai baik membuat saya merasa frustasi

17. Saya akan mengorbankan kesenangan saya dan tetap berusaha keras belajar di

kelas aksel *

207

18. Saya tidak suka mengerjakan tugas kelas yang berat *

19. Saya mampu menjauhkan pikiran negatif ketika menghadapi hambatan di kelas

aksel

20. Saya tidak meminta bantuan meskipun ada ada tugas yang berat

21. Saya masuk kelas aksel karena terpaksa

22. Saya merasa tersiksa ketika saya menerima nilai mengecewakan

23. Saya mengurangi kegiatan ekstrakurikuler untuk meningkatkan nilai *

24. Sebenarnya bagi saya kelas reguler lebih mudah bagi saya untuk mendapat nilai

bagus *

25. Menurut saya, hanya dengan kerja keras saya bisa memenuhi tujuan belajar

saya *

26. Saya mampu menurunkan stres jika tidak berkinerja akademis baik *

27. Bagi saya sekolah adalah prioritas utama *

28. Nilai-nilai buruk menempatkan saya dalam mood yang buruk sepanjang hari

29. Saya menikmati tantangan pelajaran di kelas aksel

30. Apapun kondisi kelas aksel, saya melakukan pekerjaan sebaik-baiknya *

31. Saya dapat mengelola stres dari pekerjaan sulit dengan cara yang sehat

32. Mendapatkan nilai bagus tidak penting bagi saya *

33. Meskipun merasa bosan, saya berusaha belajar dengan keras

34. Sejujurnya saya lebih memilih kelas reguler daripada kelas aksel

35. Prestasi di sekolah sangatlah penting bagi saya dan orang tua saya *

36. Bagi saya nilai adalah segalanya, sehingga saya sedikit menyesal masuk kelas

aksel karena dikelas aksel sulit mendapat nilai tinggi *

37. Saya meningkatkan usaha belajar ketika tidak berprestasi di kelas

38. Saya tidak akan pergi keluar dengan teman-teman jika saya harus belajar

39. Saya tidak merasa menyesal masuk di kelas Aksel

208

40. Saya meragukan kemampuan saya jika saya berkinerja buruk

Ket: Untuk yang bertanda bintang aitem gugur

INPUT DATA PEMENUHAN KEBUTUHAN PSIKOLOGIS

No. Nama Autonomy Relatedness Competence Total

1

Muhammad

Farishy A. 22 25 22 69

2

Muhammad Zaky

S. 15 14 17 46

3 M. Afiffudin Z. 18 20 19 57

4

Syaylah

Qonitatillah 13 19 9 41

5 S. A. Utama 14 17 17 48

6

Ahmad Madda

Iknajah 23 22 21 66

7

Ghulam Fathir

Authar Insany 23 23 24 70

8

Araziv Aldi

Kurniawan 23 17 17 57

9 A'azza Jawahiril U. 18 19 17 54

10 Devana Avivah 18 20 18 56

11

M. Naufal R.

Arifin 18 12 15 45

12 Najihatus Sa'adah 16 17 17 50

13

Gusty Shouma

Dien N. 17 17 16 50

14

Jie Yan Kirana

Embun K. A. 13 13 15 41

15 Alfaina Sakinah 15 14 19 48

16

Arif Rachman

Hakim 15 19 16 50

17

Wiwin Wahidah

Shoimi 19 24 21 64

18 Atsal Abbas H. 20 17 22 59

19 Atika Nur F. 17 21 15 53

209

20 Ilham Dwi Saputra 18 19 19 56

21

Muh. Ilham

Fahmiy 24 24 22 70

22 Bella Medina 19 20 20 59

23

Winda Rizky Ayu

Bidhari 18 19 18 55

24 Ima Yosi Antari 20 18 17 55

25

Nur Aulia

Ramadani 10 16 11 37

26

Anggia Ammar

Enggarwati 14 16 14 44

27

Ahmad Ghufron

Agustian 15 18 10 43

28 Fahad Dzulqornain 19 16 12 47

29

Ayu Rosa

Anggraeni 18 19 19 56

30

Dian Senja

Lazuardi 17 23 17 57

31

Annisa Firdausi

Anwar 17 15 17 49

32 Lillah savina 16 17 16 49

33 Rika Rismawati 17 20 16 53

34 Fauqo Wildatil J 22 21 19 62

35

M. Ahsanal

Kawakibi 19 17 16 52

36 Aditya Suhmawan 23 20 20 63

37

Nurul Hanifah A.

A. 25 25 24 74

38

Astri Oktavia

Rahmawati 18 22 18 58

39

Ulfatul Rosyida A.

F. 20 21 20 61

40

Affifahlya Alif

Rizyomi 14 17 10 41

41

Alya Mutiara

Firdausyi 18 18 14 50

42 Biellda Basmalla 17 18 12 47

43 Fabella Andinia S. 16 20 15 51

210

44

Fazat Faridah

Alfani 17 19 16 52

45 Ilafi Nastiti 15 12 11 38

46 Luqitha Aulia F. 19 18 17 54

47

Maqdisi Firdaus

Ali 21 20 17 58

48

M. Ilham

Yunihandoko 16 19 11 46

49

Moch. Lathoiful

Kamal 16 19 14 49

50

M. Naufal Fatkhi

M. 20 20 19 59

51 Qurrotul Uyuun 16 19 11 46

52

Rafif Cahya

Ramadina 17 14 11 42

53 Rifda Savirani 11 10 15 36

54 Rosta Rosalina 25 25 15 65

55 Safira Firdaus M. 23 22 21 66

56

Syerly

Ayuningtyas 13 16 13 42

57

Yulia Pratiwi

Irianti 13 16 14 43

58

Achmad Yogi

Prakoso 21 17 16 54

59

Anis Fikriya Fitri

Kamila 22 22 19 63

60 Amiratur Rosyadah 18 20 15 53

61 Azkiya Zahra 18 22 14 54

62

Cendikiane

Beninge Oashe 20 22 19 61

63

Devin Adam

Sanubari 10 8 7 25

64

Diecha Pratama

Kurniawan Sandy 20 21 16 57

65

Dhaifi

Muthmainina 19 20 13 52

66

Farizal Rizky

Muharram 21 19 22 62

67 Gitta Arinda 23 22 20 65

211

Faustina

68 Imam Sakti Y 21 22 22 65

69 Maulida Rahma 22 20 17 59

70

M. Dizky Andka

Putra 13 9 15 37

71

Nada Zakiyyah N.

W 23 25 22 70

72

Nadia Afnani Er

Rahmah 18 21 19 58

73

Najmatul

Farkhiyah 20 21 14 55

74

Novalia Syafira

Arfianti 19 25 12 56

75

Nurjannah

Ratnaningrum 17 21 19 57

76 Rafifa Rafida Fitri 17 22 12 51

77

Reza Ahmed D. H.

A. M. A 20 16 19 55

78

Shofiya Qurrotu

A'yunin 18 20 17 55

212

INPUT DATA ACADEMIC HARDINESS

No. Nama Commitment Challenge Control

A

Control

E Total

1

Muhammad

Farisky A. 39 39 19 25 122

2

Muhammad Zaky

S. 33 37 15 21 106

3 M. Afiffudin Z. 33 34 20 24 111

4

Syaylah

Qonitatillah 32 29 12 26 99

5 S. A. Utama 29 36 18 23 106

6

Ahmad Madda

Iknajah 34 35 23 23 115

7

Ghulam Fathir

Authar Insany 38 33 22 26 119

8

Raziv Aldi

Kurniawan 31 32 21 22 106

9

A'azza Jawahiril

U. 28 31 18 19 96

10 Devana Avivah 34 24 20 25 103

11

M. Naufal

Nurarifin 24 26 18 13 81

12 Najihatus Sa'adah 30 27 18 23 98

13

Gusty Shouma

Dien N. 30 29 15 23 97

14

Jie Yan Kirana

Embun K. A. 37 31 17 22 107

15 Alfaina Sakinah 30 23 17 22 92

16

Arif Rachman

Hakim 32 27 18 24 101

17

Wiwin Wahidah

Shoimi 29 31 22 23 105

18 Atsal Abbas H. 37 33 19 21 110

19

Atika Nur

Fadhilah 33 36 19 25 113

20

Ilham Dwi

Saputra 30 27 19 23 99

213

21

Muh. Ilham

Fahmiy 39 34 23 22 118

22 Bella Medina 28 31 19 22 100

23

Winda Rizky

Ayu Bidhari 30 30 17 23 100

24 Ima Yosi Antari 27 26 13 25 91

25

Nur Aulia

Ramadani 25 37 14 17 93

26

Anggia Ammar

Enggarwati 30 27 13 22 92

27

Ahmad Ghufron

Agustian 27 26 17 21 91

28

Fahad

Dzulqornain 33 32 15 25 105

29

Ayu Rosa

Anggraeni 27 33 20 24 104

30

Dian Senja

Lazuardi 29 34 19 25 107

31

Annisa Firdausi

Anwar 21 20 18 20 79

32 Lillah savina 19 24 15 19 77

33 Rika Rismawati 30 32 14 25 101

34 Fauqo Wildatil J 32 35 20 24 111

35

M. Ahsanal

Kawakibi 23 30 16 22 91

36

Aditya

Suhmawan 37 32 19 26 114

37

Nurul Hanifah A.

A. 22 26 17 18 83

38

Astri Oktavia

Rahmawati 27 30 16 25 98

39

Ulfatul Rosyida

A. F. 30 32 18 23 103

40

Affifahlya Alif

Rizyomi 27 16 17 21 81

41

Alya Mutiara

Firdausyi 33 30 19 25 107

42 Biellda Basmalla 27 24 13 23 87

43

Fabella Andinia

S. 25 25 16 25 91

214

44

Fazat Faridah

Alfani 32 33 19 24 108

45 Ilafi Nastiti 31 25 14 20 90

46 Luqitha Aulia F. 27 34 15 18 94

47

Maqdisi Firdaus

Ali 32 29 17 27 105

48

M. Ilham

Yunihandoko 36 32 13 27 108

49

Moch. Lathoiful

Kamal 29 29 19 25 102

50

M. Naufal Fatkhi

M. 33 30 22 21 106

51 Qurrotul Uyuun 31 34 18 26 109

52

Rafif Cahya

Ramadina 30 29 17 22 98

53 Rifda Savirani 19 21 14 11 65

54 Rosta Rosalina 25 38 22 27 112

55 Safira Firdaus M. 24 32 24 24 104

56

Syerly

Ayuningtyas 36 27 14 25 102

57

Yulia Pratiwi

Irianti 29 32 17 22 100

58

Achmad Yogi

Prakoso 33 28 18 25 104

59

Anis Fikriya Fitri

Kamila 30 30 19 25 104

60

Amiratur

Rosyadah 32 26 9 23 90

61 Azkiya Zahra 33 33 16 25 107

62

Cendikiane

Beninge Oashe 34 33 16 26 109

63

Devin Adam

Sanubari 26 27 9 16 78

64

Diecha Pratama

Kurniawan

Sandy 37 37 18 22 114

65

Dhaifi

Muthmainina 30 25 15 23 93

66

Farizal Rizky

Muharram 33 34 23 25 115

215

67

Gitta Arinda

Faustina 40 33 18 25 116

68 Imam Sakti Y 38 32 21 26 117

69 Maulida Rahma 21 33 20 23 97

70

M. Dizky Andka

Putra 28 29 20 18 95

71

Nada Zakiyyah

N. W 40 32 20 29 121

72

Nadia Afnani Er

Rahmah 30 31 15 26 102

73

Najmatul

Farkhiyah 35 37 17 28 117

74

Novalia Syafira

Arfianti 39 37 15 26 117

75

Nurjannah

Ratnaningrum 30 37 16 19 102

76

Rafifa Rafida

Fitri 36 29 10 26 101

77

Reza Ahmed D.

H. A. M. A 35 30 19 23 107

78

Shofiya Qurrotu

A'yunin 28 30 14 26 98

216

HASIL ANALISIS CFA (CONFIRMATORY FACTOR ANALYSIS)

KOMPETENSI

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

Maximum Likelihood Estimates

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

Kompetensi_1 <--- Kompetensi 1.000

Kompetensi_2 <--- Kompetensi .240 .078 3.079 .002

Kompetensi_4 <--- Kompetensi .214 .110 1.937 .053

Kompetensi_5 <--- Kompetensi .422 .116 3.638 ***

Kompetensi_6 <--- Kompetensi .789 .128 6.151 ***

Standardized Regression Weights: (Group number 1 - Default model)

Estimate

Kompetensi_1 <--- Kompetensi .968



217

Estimate



Variances: (Group number 1 - Default model)


Kompetensi

1.320 .289 4.565 ***

e6

.088 .180 .486 .627

e7

.497 .081 6.120 ***

e8

1.103 .178 6.181 ***

e9

1.024 .169 6.056 ***

e10

.471 .136 3.474 ***

Squared Multiple Correlations: (Group number 1 - Default model)

Estimate

Kompetensi_6

.636

Kompetensi_5

.186

Kompetensi_4

.052

Kompetensi_2

.132

Kompetensi_1

.938

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.264 9999.0

00

109.6

74 0

9999.0

00

1 e 1

-.014 1.379 31.35

2 20 .612

2 e 0 69.357

.349 13.08

1 5 .779

3 e 0 28.589

.462 11.60

5 1 .331

4 e 0 27.979

.156 9.713 1 1.177

5 e 0 29.604

.070 9.510 1 1.081

6 e 0 29.342

.011 9.507 1 1.012

7 e 0 29.317

.000 9.507 1 1.000

Model NPAR CMIN DF P CMIN/DF

Default model 10 9.507 5 .090 1.901

Saturated model 15 .000 0

Independence model 5 108.376 10 .000 10.838

218

Model RMR GFI AGFI PGFI

Default model .071 .958 .874 .319

Saturated model .000 1.000

Independence model .367 .652 .477 .434

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .912 .825 .956 .908 .954

Saturated model 1.000

1.000

1.000

Independence model .000 .000 .000 .000 .000

Model PRATIO PNFI PCFI

Default model .500 .456 .477

Saturated model .000 .000 .000

Independence model 1.000 .000 .000

Model NCP LO 90 HI 90

Default model 4.507 .000 17.340


Independence model 98.376 68.578 135.633

Model FMIN F0 LO 90 HI 90

Default model .123 .059 .000 .225

Saturated model .000 .000 .000 .000

Independence model 1.407 1.278 .891 1.761

Model RMSEA LO 90 HI 90 PCLOSE

Default model .108 .000 .212 .157


Model AIC BCC BIC CAIC

Default model 29.507 31.197 53.074 63.074

Saturated model 30.000 32.535 65.351 80.351

Independence model 118.376 119.221 130.159 135.159

Model ECVI LO 90 HI 90 MECVI

Default model .383 .325 .550 .405



Model HOELTER

.05

HOELTER

.01

219

Model HOELTER

.05

HOELTER

.01

Default model 90 123

Independence model 14 17

Minimization: .056

Miscellaneous: .629

Bootstrap: .000

Total: .685

Model Fit Summary

CMIN


Default model 10 9.507 5 .090 1.901



RMR, GFI


Default model .071 .958 .874 .319



Baseline Comparisons

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .912 .825 .956 .908 .954


1.000

1.000


Parsimony-Adjusted Measures





NCP


Default model 4.507 .000 17.340



FMIN

220


Default model .123 .059 .000 .225



RMSEA


Default model .108 .000 .212 .157


AIC


Default model 29.507 31.197 53.074 63.074

Saturated model 30.000 32.535 65.351 80.351


ECVI


Default model .383 .325 .550 .405



HOELTER

Model HOELTER

.05

HOELTER

.01



Minimization: .056

Miscellaneous: .629

Bootstrap: .000

Total: .685

221

OTONOMI






Otonomi_2 <--- Otonomi 1.000

Otonomi_3 <--- Otonomi .736 .170 4.323 ***

Otonomi_4 <--- Otonomi .868 .195 4.454 ***

Otonomi_6 <--- Otonomi .826 .181 4.560 ***

Otonomi_7 <--- Otonomi .845 .219 3.851 ***


Estimate

Otonomi_2 <--- Otonomi .742





222



Otonomi

.464 .143 3.253 .001

e1

.379 .097 3.915 ***

e2

.458 .088 5.183 ***

e3

.565 .112 5.049 ***

e4

.461 .094 4.916 ***

e5

.892 .162 5.522 ***


Estimate

Otonomi_7

.271

Otonomi_6

.407

Otonomi_4

.382

Otonomi_3

.355

Otonomi_2

.551

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.298 9999.0

00

101.4

77 0

9999.0

00

1 e 1

-.016 1.439 33.07

8 20 .478

2 e 0 12.856

.621 19.58

2 5 .787

3 e 0 14.742

.255 18.71

7 1 1.089

4 e 0 16.602

.060 18.67

0 1 1.051

5 e 0 17.573

.007 18.67

0 1 1.006

6 e 0 17.576

.000 18.67

0 1 1.000


Default model 10 18.670 5 .002 3.734




223


Default model .060 .915 .746 .305



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .815 .629 .857 .699 .849


1.000

1.000







Default model 13.670 4.026 30.863




Default model .242 .178 .052 .401




Default model .188 .102 .283 .007



Default model 38.670 40.360 62.237 72.237

Saturated model 30.000 32.535 65.351 80.351



Default model .502 .377 .725 .524



Model HOELTER

.05

HOELTER

.01

224

Model HOELTER

.05

HOELTER

.01

Default model 46 63


Minimization: .056

Miscellaneous: .516

Bootstrap: .000

Total: .572

Model Fit Summary

CMIN


Default model 10 18.670 5 .002 3.734



RMR, GFI


Default model .060 .915 .746 .305




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .815 .629 .857 .699 .849


1.000

1.000







NCP


Default model 13.670 4.026 30.863



FMIN

225


Default model .242 .178 .052 .401



RMSEA


Default model .188 .102 .283 .007


AIC


Default model 38.670 40.360 62.237 72.237

Saturated model 30.000 32.535 65.351 80.351


ECVI


Default model .502 .377 .725 .524



HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 46 63


Minimization: .056

Miscellaneous: .516

Bootstrap: .000

Total: .572

226

KETERKAITAN






Keterkaitan_3 <--- Keterkaitan 1.000

Keterkaitan_4 <--- Keterkaitan .763 .141 5.429 ***


Keterkaitan_6 <--- Keterkaitan 1.213 .188 6.437 ***



Estimate

Keterkaitan_3 <--- Keterkaitan .710





227



Keterkaitan

.516 .154 3.357 ***

e13

.507 .099 5.118 ***

e14

.342 .065 5.275 ***

e15

.517 .091 5.668 ***

e16

.280 .083 3.362 ***

e17

.382 .075 5.087 ***


Estimate

Keterkaitan_7

.511

Keterkaitan_6

.731

Keterkaitan_5

.342

Keterkaitan_4

.468

Keterkaitan_3

.505

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.487 9999.0

00

146.6

31 0

9999.0

00

1 e 1

-.051 1.808 44.70

9 20 .378

2 e 0 531.77

4 .460

20.40

0 5 .848

3 e 0 20.993

.580 11.09

4 6 .000

4 e 0 20.588

.258 9.156 1 .902

5 e 0 23.714

.038 9.006 1 1.034

6 e 0 23.743

.002 9.005 1 1.004

7 e 0 23.741

.000 9.005 1 1.000


Default model 10 9.005 5 .109 1.801




Default model .036 .957 .871 .319


228



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .939 .879 .972 .942 .971


1.000

1.000







Default model 4.005 .000 16.538




Default model .117 .052 .000 .215




Default model .102 .000 .207 .182



Default model 29.005 30.695 52.572 62.572

Saturated model 30.000 32.535 65.351 80.351



Default model .377 .325 .539 .399



Model HOELTER

.05

HOELTER

.01



229

Minimization: .047

Miscellaneous: .477

Bootstrap: .000

Total: .524

Model Fit Summary

CMIN


Default model 10 9.005 5 .109 1.801



RMR, GFI


Default model .036 .957 .871 .319




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .939 .879 .972 .942 .971


1.000

1.000







NCP


Default model 4.005 .000 16.538



FMIN


Default model .117 .052 .000 .215



230

RMSEA


Default model .102 .000 .207 .182


AIC


Default model 29.005 30.695 52.572 62.572

Saturated model 30.000 32.535 65.351 80.351


ECVI


Default model .377 .325 .539 .399



HOELTER

Model HOELTER

.05

HOELTER

.01



Minimization: .047

Miscellaneous: .477

Bootstrap: .000

Total: .524

231

CONTROL AFFECT






contA_1 <--- Control Affect 1.000

contA_2 <--- Control Affect .755 .211 3.586 ***

contA_3 <--- Control Affect .702 .220 3.198 .001

contA_4 <--- Control Affect 1.531 .298 5.134 ***







232

Estimate

contA_1 <--- Control Affect .647











Control Affect

.316 .106 2.968 .003

e1

.438 .081 5.426 ***

e2

.650 .110 5.909 ***

e3

.767 .128 5.988 ***

e4

.713 .141 5.073 ***

e5

.604 .101 5.969 ***

e6

.657 .120 5.477 ***

e8

.451 .109 4.137 ***

e9

.351 .061 5.784 ***

e10

.910 .158 5.756 ***


Estimate

contA_10

.295

contA_9

.282

contA_8

.656

contA_6

.403

contA_5

.181

contA_4

.509

contA_3

.169

contA_2

.217

contA_1

.419

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.551 9999.0

00

194.9

64 0

9999.0

00

1 e 0 96.062

1.437 77.17 19 .495

233

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

2

2 e 0 7.312

.705 55.53

9 5 .000

3 e 0 33.643

.644 42.13

3 2 .000

4 e 0 31.099

.331 37.79

9 1 1.107

5 e 0 34.350

.112 37.37

1 1 1.080

6 e 0 37.176

.029 37.36

2 1 1.021

7 e 0 37.314

.001 37.36

2 1 1.001

8 e 0 37.314

.000 37.36

2 1 1.000


Default model 18 37.362 27 .089 1.384




Default model .067 .902 .837 .541



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .821 .761 .943 .920 .940


1.000

1.000







234


Default model 10.362 .000 30.560




Default model .485 .135 .000 .397




Default model .071 .000 .121 .256



Default model 73.362 78.735 115.782 133.782

Saturated model 90.000 103.433 196.052 241.052



Default model .953 .818 1.215 1.023

Saturated model 1.169 1.169 1.169 1.343


Model HOELTER

.05

HOELTER

.01

Default model 83 97


Minimization: .061

Miscellaneous: .993

Bootstrap: .000

Total: 1.054

Model Fit Summary

CMIN


Default model 18 37.362 27 .089 1.384



235

RMR, GFI


Default model .067 .902 .837 .541




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .821 .761 .943 .920 .940


1.000

1.000







NCP


Default model 10.362 .000 30.560



FMIN


Default model .485 .135 .000 .397



RMSEA


Default model .071 .000 .121 .256


AIC


Default model 73.362 78.735 115.782 133.782

Saturated model 90.000 103.433 196.052 241.052


ECVI


236


Default model .953 .818 1.215 1.023

Saturated model 1.169 1.169 1.169 1.343


HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 83 97


Minimization: .061

Miscellaneous: .993

Bootstrap: .000

Total: 1.054

237

KOMITMEN






com_2 <--- Commitment 1.000

com_3 <--- Commitment 1.054 .191 5.525 ***

com_4 <--- Commitment 1.205 .240 5.014 ***

com_12 <--- Commitment 1.132 .235 4.820 ***

com_10 <--- Commitment .960 .200 4.804 ***


Estimate

com_2 <--- Commitment .665



238

Estimate





Commitment

.371 .122 3.026 .002

e2

.468 .090 5.192 ***

e3

.229 .059 3.898 ***

e4

.588 .117 5.028 ***

e10

.455 .087 5.246 ***

e12

.623 .119 5.232 ***


Estimate

com_12

.433

com_10

.429

com_4

.478

com_3

.643

com_2

.442

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.451 9999.0

00

132.6

10 0

9999.0

00

1 e 1

-.044 1.694 41.31

5 20 .398

2 e 0 51.200

.748 20.90

7 5 .580

3 e 0 23.559

.338 14.41

6 2 .000

4 e 0 21.546

.215 10.91

3 1 1.186

5 e 0 23.202

.126 10.45

0 1 1.108

6 e 0 24.741

.031 10.43

3 1 1.030

7 e 0 24.884

.002 10.43

3 1 1.002

8 e 0 24.885

.000 10.43

3 1 1.000

239


Default model 10 10.433 5 .064 2.087




Default model .046 .950 .849 .317



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .922 .843 .958 .912 .956


1.000

1.000







Default model 5.433 .000 18.795




Default model .135 .071 .000 .244




Default model .119 .000 .221 .118



Default model 30.433 32.123 54.000 64.000

Saturated model 30.000 32.535 65.351 80.351



240


Default model .395 .325 .569 .417



Model HOELTER

.05

HOELTER

.01



Minimization: .058

Miscellaneous: .557

Bootstrap: .000

Total: .615

Model Fit Summary

CMIN


Default model 10 10.433 5 .064 2.087



RMR, GFI


Default model .046 .950 .849 .317




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .922 .843 .958 .912 .956


1.000

1.000







NCP

241


Default model 5.433 .000 18.795



FMIN


Default model .135 .071 .000 .244



RMSEA


Default model .119 .000 .221 .118


AIC


Default model 30.433 32.123 54.000 64.000

Saturated model 30.000 32.535 65.351 80.351


ECVI


Default model .395 .325 .569 .417



HOELTER

Model HOELTER

.05

HOELTER

.01



Minimization: .058

Miscellaneous: .557

Bootstrap: .000

Total: .615

242

CONTROL EFFORT






contEf_1 <--- Control of Effort 1.000

contEf_2 <--- Control of Effort 1.518 .368 4.120 ***

contEf_3 <--- Control of Effort .923 .340 2.713 .007

contEf_4 <--- Control of Effort 1.429 .379 3.766 ***

contEf_5 <--- Control of Effort .869 .284 3.053 .002

contEf_7 <--- Control of Effort .951 .269 3.533 ***


Estimate

contEf_1 <--- Control of Effort .543


243

Estimate







Control of Effort

.161 .071 2.280 .023

e1

.386 .070 5.482 ***

e2

.201 .066 3.063 .002

e3

.771 .131 5.906 ***

e4

.525 .103 5.081 ***

e5

.471 .082 5.767 ***

e7

.320 .059 5.412 ***


Estimate

contEf_7

.313

contEf_5

.205

contEf_4

.386

contEf_3

.151

contEf_2

.649

contEf_1

.295

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenval

ue

Diamet

er F

NTri

es Ratio

0 e 2

-.300 9999.0

00

98.4

05 0

9999.0

00

1 e 1

-.015 1.338 37.1

64 20 .494

2 e 0 15.918

.814 20.6

41 5 .648

3 e 0 21.681

.377 15.0

51 1 1.207

4 e 0 44.877

.310 13.7

51 1 1.144

5 e 0 74.990

.157 13.5

14 1 1.125

6 e 0 95.064

.061 13.4

99 1 1.049

244

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenval

ue

Diamet

er F

NTri

es Ratio

7 e 0 96.142

.005 13.4

98 1 1.006

8 e 0 96.151

.000 13.4

98 1 1.000


Default model 12 13.498 9 .141 1.500




Default model .041 .948 .879 .406



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .861 .768 .949 .909 .945


1.000

1.000







Default model 4.498 .000 18.527




Default model .175 .058 .000 .241




Default model .081 .000 .164 .254

245




Default model 37.498 39.898 65.779 77.779

Saturated model 42.000 46.200 91.491 112.491



Default model .487 .429 .669 .518



Model HOELTER

.05

HOELTER

.01



Minimization: .062

Miscellaneous: .812

Bootstrap: .000

Total: .874

Model Fit Summary

CMIN


Default model 12 13.498 9 .141 1.500



RMR, GFI


Default model .041 .948 .879 .406




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .861 .768 .949 .909 .945


1.000

1.000

246

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI







NCP


Default model 4.498 .000 18.527



FMIN


Default model .175 .058 .000 .241



RMSEA


Default model .081 .000 .164 .254


AIC


Default model 37.498 39.898 65.779 77.779

Saturated model 42.000 46.200 91.491 112.491


ECVI


Default model .487 .429 .669 .518



HOELTER

Model HOELTER

.05

HOELTER

.01



247

Minimization: .062

Miscellaneous: .812

Bootstrap: .000

Total: .874

CHALLENGE






chal_1 <--- Challenge 1.000

chal_3 <--- Challenge .988 .267 3.701 ***

chal_4 <--- Challenge .730 .195 3.749 ***

chal_6 <--- Challenge 1.485 .285 5.207 ***

chal_8 <--- Challenge .640 .183 3.504 ***

chal_9 <--- Challenge 1.270 .259 4.899 ***

chal_11 <--- Challenge .968 .238 4.060 ***

248


Estimate

chal_1 <--- Challenge .649









Challenge

.300 .103 2.910 .004

e1

.412 .079 5.204 ***

e3

.892 .155 5.760 ***

e4

.468 .082 5.742 ***

e6

.431 .105 4.085 ***

e8

.441 .076 5.828 ***

e9

.493 .102 4.843 ***

e11

.635 .113 5.603 ***


Estimate

chal_11

.307

chal_9

.495

chal_8

.218

chal_6

.606

chal_4

.254

chal_3

.247

chal_1

.421

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

0 e 2

-.445 9999.0

00

140.7

70 0

9999.0

00

1 e 1

-.059 1.817 50.53

5 20 .345

2 e 0 29.082

.839 28.14

5 5 .644

3 e 0 18.387

.415 22.38 1 1.031

249

Iterati

on

Negative

eigenval

ues

Conditi

on #

Smalles

t

eigenva

lue

Diame

ter F

NTri

es Ratio

1

4 e 0 24.052

.164 20.82

4 1 1.097

5 e 0 26.936

.062 20.76

2 1 1.053

6 e 0 27.766

.007 20.76

2 1 1.007

7 e 0 27.767

.000 20.76

2 1 1.000


Default model 14 20.762 14 .108 1.483




Default model .056 .922 .844 .461



Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .857 .786 .949 .919 .946


1.000

1.000







Default model 6.762 .000 23.099




Default model .270 .088 .000 .300

250





Default model .079 .000 .146 .234



Default model 48.762 52.008 81.756 95.756

Saturated model 56.000 62.493 121.988 149.988



Default model .633 .545 .845 .675



Model HOELTER

.05

HOELTER

.01



Minimization: .068

Miscellaneous: .814

Bootstrap: .000

Total: .882

Model Fit Summary

CMIN


Default model 14 20.762 14 .108 1.483



RMR, GFI


Default model .056 .922 .844 .461



251


Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model .857 .786 .949 .919 .946


1.000

1.000







NCP


Default model 6.762 .000 23.099



FMIN


Default model .270 .088 .000 .300



RMSEA


Default model .079 .000 .146 .234


AIC


Default model 48.762 52.008 81.756 95.756

Saturated model 56.000 62.493 121.988 149.988


ECVI


Default model .633 .545 .845 .675



HOELTER

252

Model HOELTER

.05

HOELTER

.01



Minimization: .068

Miscellaneous: .814

Bootstrap: .000

Total: .882

253

HASIL UJI NORMALITAS

NPAR TESTS

/K-

S(NORMAL)=Otonomi Keterkaitan Kompetensi Kebutuhan_Psikologis Commitment

Challange Control_Affect Control_Effort Academic_Hardi

ness

/STATISTICS DESCRIPTIVES

/MISSING ANALYSIS.

NPar Tests

Descriptive Statistics

N Mean Std. Deviation Minimum Maximum

Otonomi 78 18.1154 3.37285 10.00 25.00

Keterkaitan 78 18.8846 3.61088 8.00 25.00

Kompetensi 78 16.5000 3.65297 7.00 24.00

Kebutuhan_Psikologis 78 53.5000 9.17188 25.00 74.00

Commitment 78 30.6795 4.84699 19.00 40.00

Challange 78 30.4359 4.43302 16.00 39.00

Control_Affect 78 17.3205 3.14372 9.00 24.00

Control_Effort 78 23.0641 3.16778 11.00 29.00

Academic_Hardiness 78 1.0150E2 11.18411 65.00 122.00

One-Sample Kolmogorov-Smirnov Test

Otonomi Keterkaitan Kompetensi

Kebutuhan_

Psikologis

N 78 78 78 78

Normal Parametersa Mean 18.1154 18.8846 16.5000 53.5000

Std. Deviation 3.37285 3.61088 3.65297 9.17188

Most Extreme Differences Absolute .091 .128 .086 .060

Positive .091 .079 .074 .056

Negative -.088 -.128 -.086 -.060

Kolmogorov-Smirnov Z .800 1.132 .764 .532

254

Asymp. Sig. (2-tailed) .544 .154 .604 .940

a. Test distribution is Normal.

One-Sample Kolmogorov-Smirnov Test

Commitment Challange

Control_

Affect

Control_

Effort

Academic_

Hardiness

N 78 78 78 78 78

Normal Parametersa Mean 30.6795 30.4359 17.3205 23.0641 101.5000

Std. Deviation 4.84699 4.43302 3.14372 3.16778 11.18411

Most Extreme Differences Absolute .085 .099 .100 .151 .082

Positive .081 .057 .079 .113 .044

Negative -.085 -.099 -.100 -.151 -.082

Kolmogorov-Smirnov Z .753 .878 .887 1.329 .727

Asymp. Sig. (2-tailed) .622 .424 .411 .058 .666

a. Test distribution is Normal.

EXAMINE VARIABLES=Otonomi Keterkaitan Kompetensi Kebutuhan_Psikologis Com

mitment Challange Control_Affect Control_Effort Academic_Ha

rdiness

/PLOT BOXPLOT STEMLEAF HISTOGRAM

/COMPARE GROUP

/STATISTICS DESCRIPTIVES EXTREME

/CINTERVAL 95

/MISSING LISTWISE

/NOTOTAL.

Explore

[DataSet1] D:\2. S1 LECTURE\PENELITIAN\FULL SKRIPSI\After Sempro\Analisis

Butir Aitem\Data Benar\Data Hubungan Baru Sip.sav

Case Processing Summary

255

Cases

Valid Missing Total

N Percent N Percent N Percent

Otonomi 78 100.0% 0 .0% 78 100.0%

Keterkaitan 78 100.0% 0 .0% 78 100.0%

Kompetensi 78 100.0% 0 .0% 78 100.0%

Kebutuhan_Psikologis 78 100.0% 0 .0% 78 100.0%

Commitment 78 100.0% 0 .0% 78 100.0%

Challange 78 100.0% 0 .0% 78 100.0%

Control_Affect 78 100.0% 0 .0% 78 100.0%

Control_Effort 78 100.0% 0 .0% 78 100.0%

Academic_Hardiness 78 100.0% 0 .0% 78 100.0%

Descriptives

Statistic Std. Error

Otonomi Mean 18.1154 .38190

95% Confidence Interval for

Mean

Lower Bound 17.3549

Upper Bound 18.8758

5% Trimmed Mean 18.1709

Median 18.0000

Variance 11.376

Std. Deviation 3.37285

Minimum 10.00

Maximum 25.00

Range 15.00

Interquartile Range 4.00

Skewness -.163 .272

Kurtosis -.181 .538

Keterkaitan Mean 18.8846 .40885

95% Confidence Interval for Lower Bound 18.0705

256

Mean Upper Bound 19.6987


Median 19.0000

Variance 13.038


Minimum 8.00

Maximum 25.00

Range 17.00


Skewness -.714 .272

Kurtosis .837 .538

Kompetensi Mean 16.5000 .41362


Mean

Lower Bound 15.6764

Upper Bound 17.3236


Median 17.0000

Variance 13.344


Minimum 7.00

Maximum 24.00

Range 17.00


Skewness -.208 .272

Kurtosis -.301 .538

Kebutuhan_Psikologis Mean 53.5000 1.03851


Mean

Lower Bound 51.4321

Upper Bound 55.5679


Median 54.0000

Variance 84.123


Minimum 25.00

257

Maximum 74.00

Range 49.00


Skewness -.278 .272

Kurtosis .314 .538

Commitment Mean 30.6795 .54881


Mean

Lower Bound 29.5867

Upper Bound 31.7723


Median 30.0000

Variance 23.493


Minimum 19.00

Maximum 40.00

Range 21.00


Skewness -.213 .272

Kurtosis -.109 .538

Challange Mean 30.4359 .50194


Mean

Lower Bound 29.4364

Upper Bound 31.4354


Median 31.0000

Variance 19.652


Minimum 16.00

Maximum 39.00

Range 23.00


Skewness -.559 .272

Kurtosis .545 .538

Control_Affect Mean 17.3205 .35596

258


Mean

Lower Bound 16.6117

Upper Bound 18.0293


Median 18.0000

Variance 9.883


Minimum 9.00

Maximum 24.00

Range 15.00


Skewness -.343 .272

Kurtosis .256 .538

Control_Effort Mean 23.0641 .35868


Mean

Lower Bound 22.3499

Upper Bound 23.7783


Median 23.0000

Variance 10.035


Minimum 11.00

Maximum 29.00

Range 18.00


Skewness -1.326 .272

Kurtosis 2.721 .538

Academic_Hardiness Mean 1.0150E2 1.26635


Mean

Lower Bound 98.9784

Upper Bound 1.0402E2

5% Trimmed Mean 1.0196E2

Median 1.0250E2

Variance 125.084

Std. Deviation 1.11841E1

259

Minimum 65.00

Maximum 122.00

Range 57.00


Skewness -.662 .272

Kurtosis .665 .538

Extreme Values

Case Number Value

Otonomi Highest 1 37 25.00

2 54 25.00

3 21 24.00

4 6 23.00

5 7 23.00a

Lowest 1 63 10.00

2 25 10.00

3 53 11.00

4 70 13.00

5 57 13.00b

Keterkaitan Highest 1 1 25.00

2 37 25.00

3 54 25.00

4 71 25.00

5 74 25.00

Lowest 1 63 8.00

2 70 9.00

3 53 10.00

4 45 12.00

5 11 12.00

Kompetensi Highest 1 7 24.00

260

2 37 24.00

3 1 22.00

4 18 22.00

5 21 22.00c

Lowest 1 63 7.00

2 4 9.00

3 40 10.00

4 27 10.00

5 52 11.00d

Kebutuhan_Psikologis Highest 1 37 74.00

2 7 70.00

3 21 70.00

4 71 70.00

5 1 69.00

Lowest 1 63 25.00

2 53 36.00

3 70 37.00

4 25 37.00

5 45 38.00

Commitment Highest 1 67 40.00

2 71 40.00

3 1 39.00

4 21 39.00

5 74 39.00

Lowest 1 53 19.00

2 32 19.00

3 69 21.00

4 31 21.00

5 37 22.00

Challange Highest 1 1 39.00

2 54 38.00

3 2 37.00

261

4 25 37.00

5 64 37.00e

Lowest 1 40 16.00

2 31 20.00

3 53 21.00

4 15 23.00

5 42 24.00f

Control_Affect Highest 1 55 24.00

2 6 23.00

3 21 23.00

4 66 23.00

5 7 22.00c

Lowest 1 63 9.00

2 60 9.00

3 76 10.00

4 4 12.00

5 48 13.00b

Control_Effort Highest 1 71 29.00

2 73 28.00

3 47 27.00

4 48 27.00

5 54 27.00

Lowest 1 53 11.00

2 11 13.00

3 63 16.00

4 25 17.00

5 70 18.00g

Academic_Hardiness Highest 1 1 122.00

2 71 121.00

3 7 119.00

4 21 118.00

5 68 117.00h

262

Lowest 1 53 65.00

2 32 77.00

3 63 78.00

4 31 79.00

5 40 81.00i

a. Only a partial list of cases with the value 23,00 are shown in the table of

upper extremes.

b. Only a partial list of cases with the value 13,00 are shown in the table of

lower extremes.

c. Only a partial list of cases with the value 22,00 are shown in the table of

upper extremes.

d. Only a partial list of cases with the value 11,00 are shown in the table of

lower extremes.

e. Only a partial list of cases with the value 37,00 are shown in the table of

upper extremes.

f. Only a partial list of cases with the value 24,00 are shown in the table of

lower extremes.

g. Only a partial list of cases with the value 18,00 are shown in the table of

lower extremes.

h. Only a partial list of cases with the value 117,00 are shown in the table of

upper extremes.

i. Only a partial list of cases with the value 81,00 are shown in the table of

lower extremes.

Otonomi

263

Otonomi Stem-and-Leaf Plot

Frequency Stem & Leaf

3,00 1 . 001

5,00 1 . 33333

8,00 1 . 44455555

16,00 1 . 6666667777777777

20,00 1 . 88888888888889999999

12,00 2 . 000000001111

11,00 2 . 22223333333

3,00 2 . 455

Stem width: 10,00

Each leaf: 1 case(s)

265

Keterkaitan

Keterkaitan Stem-and-Leaf Plot


3,00 Extremes (=<10)

,00 1 .

3,00 1 . 223

4,00 1 . 4445

15,00 1 . 666666777777777

16,00 1 . 8888899999999999

19,00 2 . 0000000000001111111

11,00 2 . 22222222233

7,00 2 . 4455555

Stem width: 10,00

266


267

Kompetensi

Kompetensi Stem-and-Leaf Plot


2,00 0 . 79

19,00 1 . 0011111222233444444

42,00 1 . 555555556666666677777777777788899999999999

15,00 2 . 000011122222244

Stem width: 10,00


269

Kebutuhan_Psikologis

Kebutuhan_Psikologis Stem-and-Leaf Plot



4,00 3 . 6778

8,00 4 . 11122334

11,00 4 . 56667788999

16,00 5 . 0000112223334444

21,00 5 . 555556666777778889999

7,00 6 . 1122334

6,00 6 . 555669

4,00 7 . 0004

Stem width: 10,00

270


271

Commitment

Commitment Stem-and-Leaf Plot



6,00 2 . 112344

20,00 2 . 55567777777888899999

34,00 3 . 0000000000000111222222333333333444

14,00 3 . 55666777788999

2,00 4 . 00

Stem width: 10,00


273

Challange

Challange Stem-and-Leaf Plot



2,00 2 . 01

1,00 2 . 3

6,00 2 . 444555

11,00 2 . 66666777777

8,00 2 . 89999999

13,00 3 . 0000000011111

18,00 3 . 222222222233333333

8,00 3 . 44444455

8,00 3 . 66777777

2,00 3 . 89

274

Stem width: 10,00


275

Control_Affect

Control_Affect Stem-and-Leaf Plot


2,00 0 . 99

12,00 1 . 023333444444

47,00 1 . 55555555666666777777777788888888888999999999999

17,00 2 . 00000001122223334

Stem width: 10,00


277

Control_Effort

Control_Effort Stem-and-Leaf Plot



,00 1 .

6,00 1 . 888999

7,00 2 . 0011111

23,00 2 . 22222222223333333333333

23,00 2 . 44444455555555555555555

13,00 2 . 6666666666777

2,00 2 . 89

Stem width: 10,00


279

Academic_Hardiness

Academic_Hardiness Stem-and-Leaf Plot



3,00 7 . 789

4,00 8 . 1137

21,00 9 . 001111223345677888899

32,00 10 . 00011122223344445556666777778899

15,00 11 . 011234455677789

2,00 12 . 12

Stem width: 10,00


281

HASIL UJI PENGARUH

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA CHANGE ZPP

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

/NOORIGIN

/DEPENDENT Academic_Hardiness

/METHOD=ENTER Otonomi Keterkaitan Kompetensi

/RESIDUALS HIST(ZRESID) NORM(ZRESID).

Regression

[DataSet1] D:\2. S1 LECTURE\PENELITIAN\FULL SKRIPSI\After Sempro\Analisis

Butir Aitem\Data Benar\Data Hubungan Baru Sip.sav

Variables Entered/Removedb

Model

Variables

Entered

Variables

Removed Method

1 Kompetensi,

Keterkaitan,

Otonomia

. Enter

a. All requested variables entered.

b. Dependent Variable: Academic_Hardiness

Model Summaryb

Model R

R

Square

Adjusted

R Square

Std. Error

of the

Estimate

Change Statistics

R Square

Change

F

Change df1 df2

Sig. F

Change

1 .628a .394 .369 8.88152 .394 16.034 3 74 .000

a. Predictors: (Constant), Kompetensi,

Keterkaitan, Otonomi

b. Dependent Variable:

Academic_Hardiness

282

ANOVAb

Model

Sum of

Squares df

Mean

Square F Sig.

1 Regression 3794.282 3 1264.761 16.034 .000a

Residual 5837.218 74 78.881

Total 9631.500 77

a. Predictors: (Constant), Kompetensi,

Keterkaitan, Otonomi

b. Dependent Variable: Academic_Hardiness

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

Correlations

B Std. Error Beta Zero-order Partial Part

1 (Constant) 61.008 6.031 10.115 .000

Otonomi .584 .492 .176 1.186 .239 .536 .137 .107

Keterkaitan 1.367 .388 .442 3.529 .001 .602 .380 .319

Kompetensi .248 .377 .081 .658 .512 .416 .076 .060

a. Dependent Variable:

Academic_Hardiness

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 79.5219 115.7417 1.0150E2 7.01971 78

Residual -3.27417E1 16.90513 .00000 8.70678 78

Std. Predicted Value -3.131 2.029 .000 1.000 78

Std. Residual -3.687 1.903 .000 .980 78

a. Dependent Variable: Academic_Hardiness

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