ananda sabil hussein, phdanandahussein.lecture.ub.ac.id/files/2015/11/modul-pkpm.pdf · modul...

MODUL PELATIHAN SEM

ANANDA SABIL HUSSEIN, PHD

PUSAT KAJIAN DAN PENGABDIAN MASYARAKAT

JURUSAN MANAJEMEN

UNIVERSITAS BRAWIJAYA

2018

1)

2)

ANALISA JALUR

1)

LMK = 27,209 – 3,599IPK + 1,749 x 10-7US + 0,019JR – 1,516LT + 1,074LB + e

P1 = -0,508; P2 = 0,034; P3 = 0,027; P4= -0,830; P5 = 0,358

E1 = 1 – 0,932 = 0,068

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 ,966a ,932 ,923 ,624

a. Predictors: (Constant), IPK, Jarak Rumah, Uang Saku, Lama

Belajar, Lama Tidur

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 182,743 5 36,549 93,913 ,000b

Residual 13,232 34 ,389

Total 195,975 39

a. Dependent Variable: Lama Mencari Kerja

b. Predictors: (Constant), IPK, Jarak Rumah, Uang Saku, Lama Belajar, Lama Tidur

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) 27,209 2,217 12,271 ,000

Uang Saku 1,749E-7 ,000 ,034 ,635 ,530

Jarak Rumah ,019 ,036 ,027 ,541 ,592

Lama Tidur -1,516 ,316 -,830 -4,806 ,000

Lama Belajar 1,074 ,484 ,358 2,217 ,033

IPK -3,599 ,878 -,508 -4,101 ,000

a. Dependent Variable: Lama Mencari Kerja

2)

IPK = 2,218 + 9,315 x 10-8

US – 0,010JR + 0,142LT + 0,142LB +e

P6 = 0,128; P7 = -0,102: P8 = 0,550; P9 = 0,334

E2 = 1 – 0,871 = 0,129

Model Summary

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 ,933a ,871 ,856 ,12015

a. Predictors: (Constant), Lama Belajar, Jarak Rumah, Uang Saku,

Lama Tidur

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 3,404 4 ,851 58,950 ,000b

Residual ,505 35 ,014

Total 3,909 39

a. Dependent Variable: IPK

b. Predictors: (Constant), Lama Belajar, Jarak Rumah, Uang Saku, Lama Tidur

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) 2,128 ,230 9,250 ,000

Uang Saku 9,315E-8 ,000 ,128 1,839 ,074

Jarak Rumah -,010 ,007 -,102 -1,550 ,130

Lama Tidur ,142 ,056 ,550 2,543 ,016

Lama Belajar ,142 ,090 ,334 1,571 ,125

a. Dependent Variable: IPK

LMK IPK

US

JR

LT

LB

P1

P2

P3

P4

P5

P6

P7

P8

P9

e1 e2

SEM

Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

IPK <--- UangSaku ,000 ,000 1,941 ,052 par_1

IPK <--- JarakRumah -,010 ,006 -1,637 ,102 par_2

IPK <--- LamaTidur ,142 ,053 2,685 ,007 par_3

IPK <--- LamaBelajar ,142 ,085 1,658 ,097 par_4

LamaMencariKerja <--- UangSaku ,000 ,000 ,680 ,496 par_11

LamaMencariKerja <--- JarakRumah ,019 ,033 ,579 ,563 par_12

LamaMencariKerja <--- LamaTidur -1,516 ,295 -5,147 *** par_13

LamaMencariKerja <--- LamaBelajar 1,074 ,452 2,375 ,018 par_14

LamaMencariKerja <--- IPK -3,599 ,819 -4,392 *** par_15

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

Estimate

IPK <--- UangSaku ,128

IPK <--- JarakRumah -,102

IPK <--- LamaTidur ,550

IPK <--- LamaBelajar ,334

LamaMencariKerja <--- UangSaku ,034

Estimate

LamaMencariKerja <--- JarakRumah ,027

LamaMencariKerja <--- LamaTidur -,830

LamaMencariKerja <--- LamaBelajar ,358

LamaMencariKerja <--- IPK -,508

CONFIRMATORY FACTOR ANALYSIS

Assesment Normality

Assessment of normality (Group number 1)

Laten Variable

Observed

Variable

Korelasi Variable

Variable min max skew c.r. kurtosis c.r.

Z6 2,000 5,000 -,240 -1,386 -,927 -2,675

Z5 2,000 5,000 -,350 -2,023 -1,110 -3,203

Z1 2,000 5,000 -1,090 -6,294 1,173 3,386

Z2 2,000 5,000 -,132 -,764 -,490 -1,415

Z3 2,000 5,000 -,013 -,073 -,955 -2,757

Z4 2,000 5,000 -,068 -,395 -,811 -2,341

Y11 3,000 5,000 -,384 -2,218 -1,068 -3,082

Y12 2,000 5,000 -,876 -5,058 1,769 5,108

Y13 2,000 5,000 -,251 -1,446 -,454 -1,310

Y14 3,000 5,000 -,235 -1,355 -,662 -1,911

X31 2,000 5,000 -,771 -4,452 ,296 ,854

X32 2,000 5,000 -,744 -4,295 -,170 -,491

X33 2,000 5,000 -,674 -3,890 -,163 -,472

X34 2,000 5,000 -1,051 -6,067 ,809 2,335

X35 2,000 5,000 -1,289 -7,441 1,001 2,890

X36 2,000 5,000 -1,019 -5,884 ,785 2,267

X37 2,000 5,000 -,883 -5,097 ,429 1,237

X11 2,000 5,000 -1,441 -8,322 2,541 7,334

X12 3,000 5,000 ,004 ,020 -,206 -,595

X13 3,000 5,000 -,323 -1,865 -,661 -1,909

X14 3,000 5,000 -,257 -1,485 -,695 -2,006

X15 3,000 5,000 ,022 ,127 -,387 -1,119

X16 3,000 5,000 -,222 -1,280 -,608 -1,755

X17 3,000 5,000 -,078 -,448 -,369 -1,065

Multivariate

64,071 12,824

Outlier detection

Observations farthest from the centroid (Mahalanobis distance) (Group number 1)

Observation number Mahalanobis d-squared p1 p2

170 64,979 ,000 ,002

91 60,905 ,000 ,000

109 59,027 ,000 ,000

62 57,087 ,000 ,000

145 55,996 ,000 ,000

93 52,031 ,001 ,000

153 45,083 ,006 ,000

178 44,931 ,006 ,000

197 44,355 ,007 ,000

36 44,120 ,007 ,000

162 43,184 ,009 ,000

118 42,882 ,010 ,000

108 42,761 ,011 ,000


168 41,690 ,014 ,000

1 38,760 ,029 ,001

200 38,068 ,034 ,002

175 36,886 ,045 ,009

81 36,546 ,049 ,009

156 36,129 ,053 ,011

68 36,101 ,054 ,006

110 35,974 ,055 ,004

90 35,917 ,056 ,002

77 35,660 ,059 ,002

188 34,536 ,076 ,017

112 34,086 ,083 ,027

151 33,567 ,093 ,050

89 32,700 ,111 ,161

111 32,676 ,111 ,119

31 32,658 ,112 ,085

72 32,602 ,113 ,064

155 32,457 ,116 ,058

133 32,391 ,118 ,044

143 32,366 ,118 ,030

114 32,123 ,124 ,035

19 31,911 ,129 ,038

106 31,858 ,131 ,028

126 31,840 ,131 ,019

16 31,815 ,132 ,013

40 31,317 ,145 ,031

141 30,766 ,161 ,081

147 30,549 ,167 ,093

172 30,506 ,169 ,073

119 29,908 ,188 ,185

104 29,686 ,195 ,213

190 29,558 ,200 ,209

44 29,334 ,208 ,243

157 29,076 ,217 ,297

163 28,914 ,223 ,312

79 28,796 ,228 ,307

154 28,748 ,230 ,272

189 28,478 ,240 ,340

184 28,392 ,244 ,322

193 28,198 ,252 ,359

43 28,035 ,259 ,382

180 28,032 ,259 ,324

28 27,979 ,261 ,294

82 27,951 ,262 ,254


173 27,304 ,290 ,533

148 27,098 ,300 ,587

101 26,890 ,310 ,641

164 26,730 ,317 ,670

146 26,656 ,321 ,653

181 26,624 ,322 ,613

195 26,516 ,328 ,616

100 26,501 ,328 ,566

179 26,468 ,330 ,525

56 26,453 ,331 ,474

122 26,381 ,334 ,457

12 26,361 ,335 ,409

185 26,303 ,338 ,385

57 26,177 ,344 ,400

160 26,039 ,351 ,423

34 26,036 ,351 ,368

97 25,909 ,358 ,385

161 25,873 ,360 ,350

22 25,589 ,374 ,461

191 25,589 ,374 ,404

117 25,583 ,375 ,352

24 25,440 ,382 ,380

115 25,388 ,385 ,355

132 25,304 ,389 ,351

86 25,204 ,395 ,354

23 25,086 ,401 ,369

192 25,086 ,401 ,317

64 24,970 ,407 ,330

127 24,850 ,414 ,347

159 24,733 ,420 ,363

38 24,557 ,430 ,416

84 24,397 ,439 ,460

80 24,243 ,448 ,502

129 24,198 ,450 ,475

94 23,898 ,467 ,610

85 23,785 ,474 ,627

105 23,610 ,484 ,680

65 23,388 ,497 ,756

120 23,170 ,510 ,820

78 23,082 ,515 ,821

107 23,077 ,515 ,784

183 22,835 ,530 ,853

171 22,651 ,540 ,888

Model Fit Summary

CMIN

Model NPAR CMIN DF P CMIN/DF

Default model 54 650,260 246 ,000 2,643

Saturated model 300 ,000 0

Independence model 24 2848,734 276 ,000 10,322

RMR, GFI

Model RMR GFI AGFI PGFI

Default model ,029 ,802 ,759 ,658

Saturated model ,000 1,000

Independence model ,176 ,265 ,201 ,244

Baseline Comparisons

Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,772 ,744 ,845 ,824 ,843

Saturated model 1,000

1,000

1,000

Independence model ,000 ,000 ,000 ,000 ,000

Parsimony-Adjusted Measures

Model PRATIO PNFI PCFI

Default model ,891 ,688 ,751

Saturated model ,000 ,000 ,000

Independence model 1,000 ,000 ,000

NCP

Model NCP LO 90 HI 90

Default model 404,260 332,518 483,667


Independence model 2572,734 2405,081 2747,755

FMIN

Model FMIN F0 LO 90 HI 90

Default model 3,268 2,031 1,671 2,430

Saturated model ,000 ,000 ,000 ,000

Independence model 14,315 12,928 12,086 13,808

RMSEA

Model RMSEA LO 90 HI 90 PCLOSE

Default model ,091 ,082 ,099 ,000


AIC

Model AIC BCC BIC CAIC

Default model 758,260 773,777 936,369 990,369

Saturated model 600,000 686,207 1589,495 1889,495


ECVI

Model ECVI LO 90 HI 90 MECVI

Default model 3,810 3,450 4,209 3,888

Saturated model 3,015 3,015 3,015 3,448


HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 87 92

Independence model 23 24

MODIFIKASI MODEL

Excluding : Z4, Z6, Y14, X31

Covary: e4 dan e7, e9 dan e11,

Model Fit Summary

CMIN


Default model 48 281,853 162 ,000 1,740



RMR, GFI


Default model ,024 ,881 ,845 ,679




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,856 ,832 ,933 ,921 ,932


1,000

1,000







NCP


Default model 119,853 77,116 170,453



FMIN


Default model 1,416 ,602 ,388 ,857



RMSEA



Default model ,061 ,049 ,073 ,066


AIC


Default model 377,853 389,179 536,172 584,172

Saturated model 420,000 469,551 1112,647 1322,647


ECVI


Default model 1,899 1,684 2,153 1,956

Saturated model 2,111 2,111 2,111 2,360


HOELTER

Model HOELTER

.05

HOELTER

.01

Default model 137 147


KONVERGEN VALIDITY : Factor Loadings


Estimate

X17 <--- X1 ,568

X16 <--- X1 ,532

X15 <--- X1 ,628

X14 <--- X1 ,568

X13 <--- X1 ,561

X12 <--- X1 ,609

X11 <--- X1 ,788

X37 <--- X3 ,748

X36 <--- X3 ,687

X35 <--- X3 ,725

X34 <--- X3 ,759

X33 <--- X3 ,563

X32 <--- X3 ,668

Y13 <--- Y1 ,679

Y12 <--- Y1 ,827

Y11 <--- Y1 ,671

Estimate

Z3 <--- Z ,616

Z2 <--- Z ,807

Z1 <--- Z ,872

Z5 <--- Z ,761


Estimate

X15 <--- X1 ,614

X12 <--- X1 ,604

X11 <--- X1 ,806

Estimate

X37 <--- X3 ,745

X36 <--- X3 ,665

X35 <--- X3 ,746

X34 <--- X3 ,766

X32 <--- X3 ,663

Y13 <--- Y1 ,673

Y12 <--- Y1 ,834

Y11 <--- Y1 ,669

Z3 <--- Z ,617

Z2 <--- Z ,802

Z1 <--- Z ,877

Z5 <--- Z ,757

KONVERGEN VALIDITY : Average Variance Extracted

Estimate AVE

X15 <--- X1 0,614

0,463

X12 <--- X1 0,604

X11 <--- X1 0,806

X37 <--- X3 0,745

0,516

X36 <--- X3 0,665

X35 <--- X3 0,746

X34 <--- X3 0,766

X32 <--- X3 0,663

Y13 <--- Y1 0,673

0,532

Y12 <--- Y1 0,834

Y11 <--- Y1 0,669

Z3 <--- Z 0,617

0,591

Z2 <--- Z 0,802

Z1 <--- Z 0,877

Z5 <--- Z 0,757

DISKRIMINAN VALIDITY

Correlations: (Group number 1 - Default model)

Estimate

X1 <--> X3 ,113

X1 <--> Y1 ,812

X1 <--> Z ,876

X3 <--> Y1 ,208

X3 <--> Z ,123

Y1 <--> Z ,880

e11 <--> e9 ,441

RELIABILITY

Variabel CR

X1 0,718

X3 0,841

Y1 0,771

Z 0,850

Goodness of Fit Model

Model Fit Summary

CMIN


Default model 37 139,640 83 ,000 1,682



RMR, GFI


Default model ,021 ,918 ,881 ,635




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,906 ,881 ,960 ,948 ,959


1,000

1,000







NCP


Default model 56,640 27,929 93,235



FMIN


Default model ,702 ,285 ,140 ,469



RMSEA


Default model ,059 ,041 ,075 ,195


AIC


Default model 213,640 220,110 335,678 372,678

Saturated model 240,000 260,984 635,798 755,798


ECVI


Default model 1,074 ,929 1,257 1,106

Saturated model 1,206 1,206 1,206 1,311


HOELTER

Model HOELTER

.05

HOELTER

.01



STRUKTURAL MODEL

Model Fit Summary

CMIN


Default model 37 139,640 83 ,000 1,682



RMR, GFI


Default model ,021 ,918 ,881 ,635




Model NFI

Delta1

RFI

rho1

IFI

Delta2

TLI

rho2 CFI

Default model ,906 ,881 ,960 ,948 ,959


1,000

1,000







NCP


Default model 56,640 27,929 93,235



FMIN


Default model ,702 ,285 ,140 ,469



RMSEA


Default model ,059 ,041 ,075 ,195


AIC


Default model 213,640 220,110 335,678 372,678

Saturated model 240,000 260,984 635,798 755,798



ECVI


Default model 1,074 ,929 1,257 1,106

Saturated model 1,206 1,206 1,206 1,311


HOELTER

Model HOELTER

.05

HOELTER

.01



Regression Weights: (Group number 1 - Default model)

Estimate S.E. C.R. P Label

Y1 <--- X1 1,175 ,182 6,464 *** par_11

Y1 <--- X3 ,124 ,076 1,641 ,101 par_12

Z <--- Y1 ,703 ,195 3,604 *** par_13

Z <--- X1 ,952 ,294 3,232 ,001 par_14

Z <--- X3 -,053 ,079 -,670 ,503 par_15

X15 <--- X1 1,000

X12 <--- X1 1,005 ,143 7,015 *** par_1

X11 <--- X1 1,736 ,211 8,226 *** par_2

X35 <--- X3 1,000

X34 <--- X3 1,120 ,119 9,376 *** par_3

X32 <--- X3 ,942 ,118 7,968 *** par_4

X36 <--- X3 1,033 ,124 8,327 *** par_5

X37 <--- X3 1,108 ,116 9,518 *** par_6

Y13 <--- Y1 1,000

Y12 <--- Y1 1,137 ,117 9,697 *** par_7

Y11 <--- Y1 ,719 ,088 8,187 *** par_8

Z1 <--- Z 1,000

Z2 <--- Z ,897 ,064 13,944 *** par_9

Z3 <--- Z ,695 ,074 9,453 *** par_10

Z5 <--- Z 1,164 ,094 12,423 *** par_16

ananda sabil hussein, phdanandahussein.lecture.ub.ac.id/files/2015/11/modul-pkpm.pdf · modul...

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