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Yth. Responden,

Saya Ratu Ayu Adity Puteri Bagoes Oka dari Program Studi Manajemen, Fakultas Bisnis – Universitas Multimedia Nusantara (UMN) sedang melakukan penelitian. Untuk keperluan tersebut maka saya dengan hormat meminta bantuan Anda sebagai salah satu responden untuk memberikan penilaian Anda terhadap produk mie instan sehat dari Lemonilo.com

Lemonilo.com merupakan marketplace pertama di Indonesia yang menyediakan berbagai produk sehat berbahan dasar alami. Lemonilo.com memberikan solusi terhadap kebutuhan masyarakat akan produk sehat dalam bidang consumer goods. Misi dari Lemonilo.com adalah untuk melayani para konsumen dengan menyediakan produk-produk sehat secara menyeluruh.

Saya mengharapkan Anda menjawab semua pertanyaan yang diberikan secara jujur dan objektif, karena tidak ada jawaban benar atau salah dalam penelitian ini. Hasil dari data yang telah terkumpul akan digunakan untuk keperluan akademis dan informasi pribadi Anda akan dirahasiakan sesuai dengan kode etik penelitian. Partisipasi yang telah Anda berikan akan sangat berarti bagi peneliti dan dapat memberikan masukan dan kontribusi yang positif bagi pertumbuhan industry makanan sehat di Indonesia. Atas bantuan dan kerjasama serta kesediaan Anda meluangkan waktu, saya mengucapkan terima kasih.

Jakarta, 24 November 2017

Ratu Ayu Adity Puteri Bagoes Oka (11130110109)Program Studi Manajemen UMN


BAGIAN 1

Petunjuk Pengisian Bagian 1 : • Beri tanda checklist √ pada kotak yang telah disediakan sesuai dengan pilihan jawaban yang menurut anda paling tepat. • Bapak/Ibu/Saudara/i wajib menjawab seluruh pertanyaan yang diberikan

Apakah anda terbiasa mengkonsumsi makanan organik setidaknya dalam kurun waktu 3 bulan terakhir? Ya Tidak

Ya Tidak

Apakah anda mengetahui mie instan sehat dari Lemonilo.com?

Ya Tidak

Dalam kurun waktu 3 bulan, berapa kali anda membeli mie instan sehat dari Lemonilo.com?

Apakah anda mengetahui mie instan organik selain Lemonilo Mie Instan Sehat? Jika Ya, sebutkan …………………..

Usia anda saat ini? 21-23 tahun 23-25 tahun 25-27 tahun 27-30 tahun Lebih dari 30 tahun

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

Jenis kelamin anda? Pria

Wanita

Domisili tempat tinggal anda saat ini? Jakarta Tangerang Depok Bekasi Bogor Lainnya: ___________

Profesi anda saat ini : Mahasiswa/i Wirausaha Karyawan swasta Profesional (Dosen, Dokter, Arsitek, dll) Lainnya : _____________

Berapa kisaran uang yang anda keluarkan untuk membeli produk makanan secara online? Kurang dari Rp 50.000 Rp 50.001 – Rp 100.000 Rp 100.001 – Rp 150.000 Rp 150.001 – Rp 200.000 Rp 200.001 – Rp 250.000 Lebih dari Rp 250.001

Alamat e-mail anda: ___________________


BAGIAN 2

BAG

IAN

FB

AGIA

N E

BAG

IAN

D

BAG

IAN

AB

AGIA

N B

BAG

IAN

C

Petunjuk Pengisian Bagian 2 : • Beri penilaian Anda atas pertanyaan-pertanyaan di bawah ini berdasarkan pengalaman Anda, dengan cara memberikan tanda checklist √ pada tingkat yang diberikan yaitu dari angka 1(sangat tidak setuju) hingga angka 5 (sangat setuju) • Bapak/Ibu/Saudara/i wajib menjawab seluruh pertanyaan yang diberikan

1 Saya bersedia untuk membayar untuk membeli produk yang tidak membahayakan lingkungan alam

2 Saya akan berhenti membeli produk yang berasal dari perusahaan yang tidak ramah lingkungan

3 Saya khawatir akan konsekuensi di masa depan yang terjadi karena situasi alam saat ini

1 Lemonilo Mie Instan Sehat dijual dengan harga yang pantas

2 Lemonilo Mie Instan Sehat sesuai dengan anggaran belanja makanan organik saya

3 Harga dari Lemonilo Mie Instan Sehat logis

1

2

Lemonilo Mie Instan Sehat memiliki kualitas bahan bakuyang tidak mengandung MSG

3

Kualitas dari Lemonilo Mie Instan Sehat sangat dapat diterima

4

Bahan baku dalam Lemonilo Mie Instan Sehat membuat saya lebih nyaman dalam mengkonsumsinya

Lemonilo Mie Instan Sehat memiliki rasa yang lezat

1

2 Keputusan pembelian Lemonilo Mie Instan Sehat adalahpembelian bijak

Lemonilo Mie Instan Sehat adalah pembelian yangbermanfaat

3 Saya bersedia membayar sedikit lebih untuk makanan yang tidak membahayakan kesehatan saya

1 Di masa depan, saya berniat untuk mengkonsumsi mie instan sehat dari Lemonilo.com kembali

2 Di masa depan, saya akan melanjutkan untuk mengkonsumsi mie instan sehat dari Lemonilo.com

3 Besar kemungkinan saya untuk membeli kembali produkmie instan sehat dari Lemonilo.com

1 Saya memilih makanan organik agar sehat

2

3

Makanan organik adalah bagian dari hidup saya

Saya lebih memilih makanan alami bukan makanan olahan

NO PERTANYAAN 1 2 3 4 5






1: Sangat Tidak Setuju5: Sangat Setuju












Uji Validitas dan Reliabilitas Menggunakan SPSS


Warning # 849 in column 23. Text: in_ID

The LOCALE subcommand of the SET command has an invalid parameter. It could

not be mapped to a valid backend locale.

GET

FILE='C:\Users\YUKI\Desktop\lisrel\30 PRETEST FINALADITY.sav'.

DATASET NAME DataSet1 WINDOW=FRONT.

FACTOR

/VARIABLES EA1 EA2 EA3

/MISSING MEANSUB

/ANALYSIS EA1 EA2 EA3

/PRINT INITIAL KMO AIC EXTRACTION ROTATION

/CRITERIA MINEIGEN(1) ITERATE(25)

/EXTRACTION PC

/CRITERIA ITERATE(25)

/ROTATION VARIMAX

/METHOD=CORRELATION.

Factor Analysis

Notes

Output Created 19-JAN-2018 13:22:27

Comments

Input Data C:\Users\YUKI\Desktop\lisrel\30

PRETEST FINALADITY.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 31

Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined

missing values are treated as missing.

Cases Used MEAN SUBSTITUTION: For each

variable used, missing values are

replaced with the variable mean.


Syntax FACTOR

/VARIABLES EA1 EA2 EA3

/MISSING MEANSUB

/ANALYSIS EA1 EA2 EA3

/PRINT INITIAL KMO AIC

EXTRACTION ROTATION

/CRITERIA MINEIGEN(1)

ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX


Resources Processor Time 00:00:00,02

Elapsed Time 00:00:00,04

Maximum Memory Required 1860 (1,816K) bytes

[DataSet1] C:\Users\YUKI\Desktop\lisrel\30 PRETEST FINALADITY.sav

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy. ,680

Bartlett's Test of Sphericity Approx. Chi-Square 22,346

df 3

Sig. ,000

Anti-image Matrices

EA1 EA2 EA3

Anti-image Covariance EA1 ,565 -,271 -,239

EA2 -,271 ,638 -,128

EA3 -,239 -,128 ,682

Anti-image Correlation EA1 ,641a -,451 -,385

EA2 -,451 ,690a -,194

EA3 -,385 -,194 ,725a

a. Measures of Sampling Adequacy(MSA)


Communalities

Initial Extraction

EA1 1,000 ,746

EA2 1,000 ,669

EA3 1,000 ,631

Extraction Method: Principal

Component Analysis.

Total Variance Explained

Component

Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of Variance Cumulative % Total % of Variance Cumulative %

1 2,046 68,206 68,206 2,046 68,206 68,206

2 ,557 18,559 86,765

3 ,397 13,235 100,000

Extraction Method: Principal Component Analysis.

Component Matrixa

Component

1

EA1 ,864

EA2 ,818

EA3 ,794

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.

Rotated

Component

Matrixa


a. Only one

component

was

extracted.

The solution

cannot be

rotated.

FACTOR

/VARIABLES HC1 HC2 HC3

/MISSING MEANSUB

/ANALYSIS HC1 HC2 HC3



/EXTRACTION PC


/ROTATION VARIMAX


Factor Analysis

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31







Syntax FACTOR

/VARIABLES HC1 HC2 HC3

/MISSING MEANSUB

/ANALYSIS HC1 HC2 HC3


EXTRACTION ROTATION


ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX








df 3

Sig. ,000

Anti-image Matrices

HC1 HC2 HC3

Anti-image Covariance HC1 ,447 -,228 -,264

HC2 -,228 ,617 -,080

HC3 -,264 -,080 ,540

Anti-image Correlation HC1 ,632a -,434 -,539

HC2 -,434 ,747a -,138

HC3 -,539 -,138 ,690a



Communalities

Initial Extraction

HC1 1,000 ,807

HC2 1,000 ,660

HC3 1,000 ,716


Component Analysis.


Component



1 2,183 72,754 72,754 2,183 72,754 72,754

2 ,516 17,188 89,942

3 ,302 10,058 100,000


Component Matrixa

Component

1

HC1 ,898

HC2 ,813

HC3 ,846

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.

Rotated

Component

Matrixa


a. Only one

component

was

extracted.

The solution

cannot be

rotated.

FACTOR

/VARIABLES PPF1 PPF2 PPF3

/MISSING MEANSUB

/ANALYSIS PPF1 PPF2 PPF3



/EXTRACTION PC


/ROTATION VARIMAX


Factor Analysis

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31







Syntax FACTOR

/VARIABLES PPF1 PPF2 PPF3

/MISSING MEANSUB

/ANALYSIS PPF1 PPF2 PPF3


EXTRACTION ROTATION


ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX








df 3

Sig. ,000

Anti-image Matrices

PPF1 PPF2 PPF3

Anti-image Covariance PPF1 ,805 -,030 -,214

PPF2 -,030 ,589 -,328

PPF3 -,214 -,328 ,527

Anti-image Correlation PPF1 ,725a -,044 -,329

PPF2 -,044 ,592a -,589

PPF3 -,329 -,589 ,570a



Communalities

Initial Extraction

PPF1 1,000 ,472

PPF2 1,000 ,687

PPF3 1,000 ,782


Component Analysis.


Component



1 1,941 64,711 64,711 1,941 64,711 64,711

2 ,717 23,908 88,619

3 ,341 11,381 100,000


Component Matrixa

Component

1

PPF1 ,687

PPF2 ,829

PPF3 ,884

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.

Rotated

Component

Matrixa


a. Only one

component

was

extracted.

The solution

cannot be

rotated.

FACTOR

/VARIABLES PQ1 PQ2 PQ3 PQ4

/MISSING MEANSUB

/ANALYSIS PQ1 PQ2 PQ3 PQ4



/EXTRACTION PC


/ROTATION VARIMAX


Factor Analysis

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31







Syntax FACTOR

/VARIABLES PQ1 PQ2 PQ3 PQ4

/MISSING MEANSUB

/ANALYSIS PQ1 PQ2 PQ3 PQ4


EXTRACTION ROTATION


ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX








df 6

Sig. ,000

Anti-image Matrices

PQ1 PQ2 PQ3 PQ4

Anti-image Covariance PQ1 ,754 -,102 -,129 -,095

PQ2 -,102 ,486 -,236 -,212

PQ3 -,129 -,236 ,565 -,075

PQ4 -,095 -,212 -,075 ,639

Anti-image Correlation PQ1 ,857a -,168 -,198 -,137

PQ2 -,168 ,710a -,451 -,381

PQ3 -,198 -,451 ,755a -,125

PQ4 -,137 -,381 -,125 ,793a



Communalities

Initial Extraction

PQ1 1,000 ,478

PQ2 1,000 ,736

PQ3 1,000 ,661

PQ4 1,000 ,593


Component Analysis.


Component



1 2,468 61,700 61,700 2,468 61,700 61,700

2 ,653 16,325 78,026

3 ,536 13,398 91,424

4 ,343 8,576 100,000


Component Matrixa

Component

1

PQ1 ,691

PQ2 ,858

PQ3 ,813

PQ4 ,770

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.


Rotated

Component

Matrixa

a. Only one

component

was

extracted.

The solution

cannot be

rotated.

FACTOR

/VARIABLES PV1 PV2 PV3

/MISSING MEANSUB

/ANALYSIS PV1 PV2 PV3



/EXTRACTION PC


/ROTATION VARIMAX


Factor Analysis

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31







Syntax FACTOR

/VARIABLES PV1 PV2 PV3

/MISSING MEANSUB

/ANALYSIS PV1 PV2 PV3


EXTRACTION ROTATION


ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX








df 3

Sig. ,000

Anti-image Matrices

PV1 PV2 PV3

Anti-image Covariance PV1 ,667 -,095 -,167

PV2 -,095 ,448 -,272

PV3 -,167 -,272 ,416

Anti-image Correlation PV1 ,813a -,175 -,318

PV2 -,175 ,651a -,629

PV3 -,318 -,629 ,631a



Communalities

Initial Extraction

PV1 1,000 ,621

PV2 1,000 ,774

PV3 1,000 ,810


Component Analysis.


Component



1 2,205 73,506 73,506 2,205 73,506 73,506

2 ,532 17,719 91,225

3 ,263 8,775 100,000


Component Matrixa

Component

1

PV1 ,788

PV2 ,880

PV3 ,900

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.

Rotated

Component

Matrixa


a. Only one

component

was

extracted.

The solution

cannot be

rotated.

FACTOR

/VARIABLES RI1 RI2 RI3

/MISSING MEANSUB

/ANALYSIS RI1 RI2 RI3



/EXTRACTION PC


/ROTATION VARIMAX


Factor Analysis

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31







Syntax FACTOR

/VARIABLES RI1 RI2 RI3

/MISSING MEANSUB

/ANALYSIS RI1 RI2 RI3


EXTRACTION ROTATION


ITERATE(25)

/EXTRACTION PC


/ROTATION VARIMAX








df 3

Sig. ,000

Anti-image Matrices

RI1 RI2 RI3

Anti-image Covariance RI1 ,640 -,260 -,146

RI2 -,260 ,575 -,238

RI3 -,146 -,238 ,670

Anti-image Correlation RI1 ,699a -,429 -,223

RI2 -,429 ,653a -,383

RI3 -,223 -,383 ,722a



Communalities

Initial Extraction

RI1 1,000 ,671

RI2 1,000 ,737

RI3 1,000 ,646


Component Analysis.


Component



1 2,053 68,448 68,448 2,053 68,448 68,448

2 ,538 17,935 86,383

3 ,409 13,617 100,000


Component Matrixa

Component

1

RI1 ,819

RI2 ,858

RI3 ,803

Extraction Method:

Principal Component

Analysis.

a. 1 components

extracted.

Rotated

Component

Matrixa


a. Only one

component

was

extracted.

The solution

cannot be

rotated.

RELIABILITY

/VARIABLES=EA1 EA2 EA3

/SCALE('ALL VARIABLES') ALL

/MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE COV

/SUMMARY=TOTAL COV.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31

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=EA1 EA2 EA3


/MODEL=ALPHA

/STATISTICS=DESCRIPTIVE SCALE

COV

/SUMMARY=TOTAL COV.



Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 31 100,0

Excludeda 0 ,0

Total 31 100,0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,761 ,766 3

Item Statistics

Mean Std. Deviation N

EA1 4,06 ,772 31

EA2 3,87 ,763 31


EA3 4,45 ,568 31

Inter-Item Covariance Matrix

EA1 EA2 EA3

EA1 ,596 ,342 ,237

EA2 ,342 ,583 ,194

EA3 ,237 ,194 ,323

Summary Item Statistics

Mean Minimum Maximum Range

Maximum /

Minimum Variance N of Items

Inter-Item Covariances ,257 ,194 ,342 ,148 1,767 ,005 3

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

EA1 8,32 1,292 ,659 ,435 ,599

EA2 8,52 1,391 ,595 ,362 ,680

EA3 7,94 1,862 ,555 ,318 ,734

Scale Statistics

Mean Variance Std. Deviation N of Items

12,39 3,045 1,745 3

RELIABILITY

/VARIABLES=HC1 HC2 HC3


/MODEL=ALPHA


/SUMMARY=TOTAL COV.


Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31

Matrix Input


as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=HC1 HC2 HC3


/MODEL=ALPHA


COV

/SUMMARY=TOTAL COV.






N %


Excludeda 0 ,0

Total 31 100,0


procedure.


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,811 ,812 3

Item Statistics


HC1 3,97 ,752 31

HC2 3,35 ,608 31

HC3 3,87 ,718 31


HC1 HC2 HC3

HC1 ,566 ,278 ,362

HC2 ,278 ,370 ,214

HC3 ,362 ,214 ,516



Maximum /





Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

HC1 7,23 1,314 ,743 ,553 ,651

HC2 7,84 1,806 ,602 ,383 ,802

HC3 7,32 1,492 ,657 ,460 ,746

Scale Statistics


11,19 3,161 1,778 3

RELIABILITY

/VARIABLES=PPF1 PPF2 PPF3


/MODEL=ALPHA


/SUMMARY=TOTAL COV.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>



File 31

Matrix Input


as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=PPF1 PPF2 PPF3


/MODEL=ALPHA


COV

/SUMMARY=TOTAL COV.





N %


Excludeda 0 ,0

Total 31 100,0


procedure.


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items


,709 ,722 3

Item Statistics


PPF1 3,94 ,680 31

PPF2 4,16 ,523 31

PPF3 4,19 ,601 31


PPF1 PPF2 PPF3

PPF1 ,462 ,111 ,180

PPF2 ,111 ,273 ,201

PPF3 ,180 ,201 ,361



Maximum /




Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

PPF1 8,35 1,037 ,419 ,195 ,776

PPF2 8,13 1,183 ,549 ,411 ,607

PPF3 8,10 ,957 ,647 ,473 ,463

Scale Statistics


12,29 2,080 1,442 3


RELIABILITY

/VARIABLES=PQ1 PQ2 PQ3 PQ4


/MODEL=ALPHA


/SUMMARY=TOTAL COV.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31

Matrix Input


as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=PQ1 PQ2 PQ3 PQ4


/MODEL=ALPHA


COV

/SUMMARY=TOTAL COV.






N %


Excludeda 0 ,0

Total 31 100,0


procedure.


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,781 ,791 4

Item Statistics


PQ1 4,42 ,620 31

PQ2 4,23 ,497 31

PQ3 4,29 ,529 31

PQ4 4,29 ,461 31


PQ1 PQ2 PQ3 PQ4

PQ1 ,385 ,135 ,141 ,108


PQ2 ,135 ,247 ,166 ,132

PQ3 ,141 ,166 ,280 ,113

PQ4 ,108 ,132 ,113 ,213



Maximum /




Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

PQ1 12,81 1,561 ,495 ,246 ,789

PQ2 13,00 1,600 ,689 ,514 ,677

PQ3 12,94 1,596 ,628 ,435 ,706

PQ4 12,94 1,796 ,570 ,361 ,738

Scale Statistics


17,23 2,714 1,647 4

RELIABILITY

/VARIABLES=PV1 PV2 PV3


/MODEL=ALPHA


/SUMMARY=TOTAL COV.

Reliability


Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31

Matrix Input


as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=PV1 PV2 PV3


/MODEL=ALPHA


COV

/SUMMARY=TOTAL COV.





N %


Excludeda 0 ,0


Total 31 100,0


procedure.


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,819 ,818 3

Item Statistics


PV1 4,26 ,575 31

PV2 3,94 ,629 31

PV3 4,29 ,693 31


PV1 PV2 PV3

PV1 ,331 ,184 ,223

PV2 ,184 ,396 ,319

PV3 ,223 ,319 ,480



Maximum /





Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

PV1 8,23 1,514 ,574 ,333 ,844

PV2 8,55 1,256 ,714 ,552 ,709

PV3 8,19 1,095 ,748 ,584 ,672

Scale Statistics


12,48 2,658 1,630 3

RELIABILITY

/VARIABLES=RI1 RI2 RI3


/MODEL=ALPHA


/SUMMARY=TOTAL COV.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 31

Matrix Input



as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=RI1 RI2 RI3


/MODEL=ALPHA


COV

/SUMMARY=TOTAL COV.





N %


Excludeda 0 ,0

Total 31 100,0


procedure.


Cronbach's

Alpha

Cronbach's

Alpha Based on

Standardized

Items N of Items

,762 ,769 3


Item Statistics


RI1 4,19 ,703 31

RI2 3,87 ,562 31

RI3 4,06 ,574 31


RI1 RI2 RI3

RI1 ,495 ,226 ,187

RI2 ,226 ,316 ,175

RI3 ,187 ,175 ,329



Maximum /




Scale Mean if

Item Deleted

Scale Variance if

Item Deleted

Corrected Item-

Total Correlation

Squared Multiple

Correlation

Cronbach's

Alpha if Item

Deleted

RI1 7,94 ,996 ,588 ,360 ,704

RI2 8,26 1,198 ,652 ,425 ,625

RI3 8,06 1,262 ,562 ,330 ,716

Scale Statistics


12,13 2,316 1,522 3


DATE: 1/19/2018 TIME: 12:40 L I S R E L 8.80 BY Karl G. Jöreskog & Dag Sörbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-2006 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file C:\Users\YUKI\Desktop\lisrel\1801new2.LS8: Raw Data From File 1801new.psf Observed Variables X1-X3 Y1-Y16 Latent Variables: EA HC PPF PQ PV RI Relationship: X1 X2 X3=EA Y1 Y2 Y3=HC Y4 Y5 Y6=PPF Y7 Y8 Y9 Y10=PQ Y11 Y12 Y13=PV Y14 Y15 Y16=RI HC PPF PQ=EA PV=HC PPF PQ RI=PV set the error variance of Y2 to 0.1 set the error variance of Y3 to 0.1 set the error variance of Y4 to 0.1 set the error variance of Y5 to 0.07 set the error variance of Y6 to 0.1 set the error variance of X2 to 0.135 set the error variance of X3 to 0.15 set the error variance of Y16 to 0.1 set the error variance of Y15 to 0.1 set the error variance of Y14 to 0.1


set the error variance of Y8 to 0.09 set the error variance of Y9 to 0.1 set the error variance of Y7 to 0.12 set the error variance of Y12 to 0.1 set the error variance of Y11 to 0.065 let the error covariance of Y2 and Y3 correlate let the error covariance of Y4 and Y5 correlate let the error covariance of Y4 and Y6 correlate let the error covariance of Y5 and Y6 correlate let the error covariance of X2 and X3 correlate let the error covariance of X1 and X2 correlate let the error covariance of Y16 and Y14 correlate let the error covariance of Y16 and Y15 correlate let the error covariance of Y14 and Y15 correlate let the error covariance of Y8 and Y9 correlate let the error covariance of Y7 and Y9 correlate let the error covariance of Y12 and Y11 correlate Options: SC Path Diagram End of Problem Sample Size = 145

Covariance Matrix Y1 Y2 Y3 Y4 Y5 Y6 -------- -------- -------- -------- -------- -------- Y1 0.30 Y2 0.11 0.23 Y3 0.15 0.11 0.33 Y4 0.11 0.07 0.10 0.23 Y5 0.00 0.01 0.02 0.03 0.14 Y6 0.01 0.01 0.01 0.07 0.06 0.26 Y7 0.10 0.04 0.09 0.06 0.03 0.06 Y8 0.04 -0.01 0.03 0.06 0.01 0.04 Y9 0.06 0.05 0.06 0.06 0.05 0.07 Y10 0.04 0.05 0.06 0.08 0.04 0.08 Y11 0.07 0.04 0.08 0.05 0.04 0.03 Y12 0.08 0.04 0.11 0.11 0.01 0.04 Y13 0.06 0.02 0.06 0.06 0.06 0.09 Y14 0.04 0.04 0.02 0.07 0.03 0.04 Y15 0.08 0.06 0.05 0.07 0.03 0.07 Y16 0.03 0.03 0.03 0.07 0.03 0.07 X1 0.10 0.10 0.13 0.11 0.04 0.05 X2 0.07 0.08 0.05 0.09 0.07 0.06 X3 0.07 0.05 0.11 0.07 0.03 0.04


Covariance Matrix Y7 Y8 Y9 Y10 Y11 Y12 -------- -------- -------- -------- -------- -------- Y7 0.26 Y8 0.09 0.17 Y9 0.10 0.07 0.28 Y10 0.10 0.09 0.12 0.22 Y11 0.07 0.07 0.08 0.07 0.17 Y12 0.08 0.06 0.06 0.07 0.06 0.23 Y13 0.12 0.05 0.09 0.09 0.09 0.11 Y14 0.10 0.06 0.05 0.04 0.07 0.08 Y15 0.08 0.06 0.06 0.06 0.05 0.06 Y16 0.05 0.02 0.06 0.05 0.04 0.05 X1 0.12 0.08 0.10 0.06 0.09 0.07 X2 0.07 0.05 0.10 0.07 0.06 0.05 X3 0.08 0.05 0.12 0.08 0.10 0.06 Covariance Matrix Y13 Y14 Y15 Y16 X1 X2 -------- -------- -------- -------- -------- -------- Y13 0.28 Y14 0.12 0.25 Y15 0.08 0.11 0.27 Y16 0.09 0.06 0.08 0.23 X1 0.09 0.15 0.14 0.05 0.37 X2 0.06 0.06 0.10 0.07 0.10 0.29 X3 0.10 0.07 0.07 0.05 0.16 0.08 Covariance Matrix X3 -------- X3 0.28

Number of Iterations = 27 LISREL Estimates (Maximum Likelihood) Measurement Equations

Y1 = 0.33*HC, Errorvar.= 0.19 , R² = 0.36 (0.025)


7.77 Y2 = 0.35*HC, Errorvar.= 0.10, R² = 0.55 (0.055) 6.46 Y3 = 0.47*HC, Errorvar.= 0.10, R² = 0.69 (0.066) 7.16 Y4 = 0.36*PPF, Errorvar.= 0.10, R² = 0.56 Y5 = 0.26*PPF, Errorvar.= 0.070, R² = 0.50 (0.041) 6.39 Y6 = 0.40*PPF, Errorvar.= 0.10, R² = 0.61 (0.054) 7.41 Y7 = 0.35*PQ, Errorvar.= 0.12, R² = 0.51 Y8 = 0.28*PQ, Errorvar.= 0.090, R² = 0.46 (0.038) 7.23 Y9 = 0.41*PQ, Errorvar.= 0.10, R² = 0.63 (0.053) 7.76 Y10 = 0.30*PQ, Errorvar.= 0.13 , R² = 0.40 (0.043) (0.017) 6.91 7.74 Y11 = 0.29*PV, Errorvar.= 0.065, R² = 0.57 Y12 = 0.32*PV, Errorvar.= 0.10, R² = 0.50 (0.044) 7.27 Y13 = 0.34*PV, Errorvar.= 0.17 , R² = 0.41 (0.047) (0.022) 7.22 7.44 Y14 = 0.39*RI, Errorvar.= 0.10, R² = 0.60 Y15 = 0.41*RI, Errorvar.= 0.10, R² = 0.62 (0.050)


8.17 Y16 = 0.35*RI, Errorvar.= 0.10, R² = 0.55 (0.049) 7.12 X1 = 0.44*EA, Errorvar.= 0.18 , R² = 0.51 (0.052) (0.032) 8.47 5.66 X2 = 0.38*EA, Errorvar.= 0.14, R² = 0.51 (0.042) 9.00 X3 = 0.35*EA, Errorvar.= 0.15, R² = 0.46 (0.042) 8.43 Error Covariance for Y3 and Y2 = -0.05 (0.017) -3.05 Error Covariance for Y5 and Y4 = -0.07 (0.018) -4.11 Error Covariance for Y6 and Y4 = -0.07 (0.020) -3.50 Error Covariance for Y6 and Y5 = -0.04 (0.014) -2.66 Error Covariance for Y9 and Y7 = -0.04 (0.015) -2.41 Error Covariance for Y9 and Y8 = -0.04 (0.013) -3.09 Error Covariance for Y12 and Y11 = -0.03 (0.010) -2.73 Error Covariance for Y15 and Y14 = -0.05


(0.017) -2.73 Error Covariance for Y16 and Y14 = -0.08 (0.021) -3.89 Error Covariance for Y16 and Y15 = -0.06 (0.019) -3.21 Error Covariance for X2 and X1 = -0.06 (0.022) -2.62 Error Covariance for X3 and X2 = -0.05 (0.019) -2.46 Structural Equations

HC = 0.54*EA, Errorvar.= 0.71 , R² = 0.29 (0.11) (0.19) 4.89 3.63 PPF = 0.51*EA, Errorvar.= 0.74 , R² = 0.26 (0.089) (0.16) 5.77 4.49 PQ = 0.63*EA, Errorvar.= 0.60 , R² = 0.40 (0.10) (0.14) 6.27 4.19 PV = 0.27*HC + 0.21*PPF + 0.51*PQ, Errorvar.= 0.42 , R² = 0.58 (0.087) (0.075) (0.10) (0.10) 3.11 2.77 5.12 4.10 RI = 0.57*PV, Errorvar.= 0.68 , R² = 0.32 (0.096) (0.14) 5.90 4.74 Reduced Form Equations HC = 0.54*EA, Errorvar.= 0.71, R² = 0.29 (0.11) 4.89


PPF = 0.51*EA, Errorvar.= 0.74, R² = 0.26 (0.089) 5.77 PQ = 0.63*EA, Errorvar.= 0.60, R² = 0.40 (0.10) 6.27 PV = 0.58*EA, Errorvar.= 0.66, R² = 0.34 (0.087) 6.63 RI = 0.33*EA, Errorvar.= 0.89, R² = 0.11 (0.065) 5.08 Correlation Matrix of Independent Variables EA -------- 1.00 Covariance Matrix of Latent Variables HC PPF PQ PV RI EA -------- -------- -------- -------- -------- -------- HC 1.00 PPF 0.28 1.00 PQ 0.34 0.32 1.00 PV 0.51 0.45 0.67 1.00 RI 0.29 0.25 0.38 0.57 1.00 EA 0.54 0.51 0.63 0.58 0.33 1.00 Goodness of Fit Statistics Degrees of Freedom = 148 Minimum Fit Function Chi-Square = 289.85 (P = 0.00) Normal Theory Weighted Least Squares Chi-Square = 281.93 (P = 0.00) Estimated Non-centrality Parameter (NCP) = 133.93 90 Percent Confidence Interval for NCP = (90.35 ; 185.32) Minimum Fit Function Value = 2.01 Population Discrepancy Function Value (F0) = 0.93 90 Percent Confidence Interval for F0 = (0.63 ; 1.29) Root Mean Square Error of Approximation (RMSEA) = 0.079 90 Percent Confidence Interval for RMSEA = (0.065 ; 0.093) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00061


Expected Cross-Validation Index (ECVI) = 2.54 90 Percent Confidence Interval for ECVI = (2.24 ; 2.90) ECVI for Saturated Model = 2.64 ECVI for Independence Model = 14.32 Chi-Square for Independence Model with 171 Degrees of Freedom = 2024.28 Independence AIC = 2062.28 Model AIC = 365.93 Saturated AIC = 380.00 Independence CAIC = 2137.84 Model CAIC = 532.95 Saturated CAIC = 1135.58 Normed Fit Index (NFI) = 0.86 Non-Normed Fit Index (NNFI) = 0.91 Parsimony Normed Fit Index (PNFI) = 0.74 Comparative Fit Index (CFI) = 0.92 Incremental Fit Index (IFI) = 0.92 Relative Fit Index (RFI) = 0.83 Critical N (CN) = 95.86 Root Mean Square Residual (RMR) = 0.022 Standardized RMR = 0.089 Goodness of Fit Index (GFI) = 0.84 Adjusted Goodness of Fit Index (AGFI) = 0.80 Parsimony Goodness of Fit Index (PGFI) = 0.66 The Modification Indices Suggest to Add the Path to from Decrease in Chi-Square New Estimate Y4 HC 14.4 0.16 Y4 PV 8.7 0.15 Y6 HC 8.9 -0.13 Y8 HC 8.0 -0.09 Y13 RI 8.0 0.13 RI EA 13.8 0.38 The Modification Indices Suggest to Add an Error Covariance Between and Decrease in Chi-Square New Estimate Y6 Y6 8.1 0.26 Y11 Y6 9.9 -0.04 Y11 Y8 8.3 0.02 Y12 Y3 8.9 0.04 Y12 Y4 12.1 0.05 X1 Y14 13.6 0.07 X2 Y3 8.6 -0.05


Standardized Solution LAMBDA-Y HC PPF PQ PV RI -------- -------- -------- -------- -------- Y1 0.33 - - - - - - - - Y2 0.35 - - - - - - - - Y3 0.47 - - - - - - - - Y4 - - 0.36 - - - - - - Y5 - - 0.26 - - - - - - Y6 - - 0.40 - - - - - - Y7 - - - - 0.35 - - - - Y8 - - - - 0.28 - - - - Y9 - - - - 0.41 - - - - Y10 - - - - 0.30 - - - - Y11 - - - - - - 0.29 - - Y12 - - - - - - 0.32 - - Y13 - - - - - - 0.34 - - Y14 - - - - - - - - 0.39 Y15 - - - - - - - - 0.41 Y16 - - - - - - - - 0.35 LAMBDA-X EA -------- X1 0.44 X2 0.38 X3 0.35 BETA HC PPF PQ PV RI -------- -------- -------- -------- -------- HC - - - - - - - - - - PPF - - - - - - - - - - PQ - - - - - - - - - - PV 0.27 0.21 0.51 - - - - RI - - - - - - 0.57 - - GAMMA EA -------- HC 0.54 PPF 0.51 PQ 0.63


PV - - RI - - Correlation Matrix of ETA and KSI HC PPF PQ PV RI EA -------- -------- -------- -------- -------- -------- HC 1.00 PPF 0.28 1.00 PQ 0.34 0.32 1.00 PV 0.51 0.45 0.67 1.00 RI 0.29 0.25 0.38 0.57 1.00 EA 0.54 0.51 0.63 0.58 0.33 1.00 PSI Note: This matrix is diagonal. HC PPF PQ PV RI -------- -------- -------- -------- -------- 0.71 0.74 0.60 0.42 0.68 Regression Matrix ETA on KSI (Standardized) EA -------- HC 0.54 PPF 0.51 PQ 0.63 PV 0.58 RI 0.33

Completely Standardized Solution LAMBDA-Y HC PPF PQ PV RI -------- -------- -------- -------- -------- Y1 0.60 - - - - - - - - Y2 0.74 - - - - - - - - Y3 0.83 - - - - - - - - Y4 - - 0.75 - - - - - - Y5 - - 0.71 - - - - - - Y6 - - 0.78 - - - - - - Y7 - - - - 0.71 - - - - Y8 - - - - 0.68 - - - - Y9 - - - - 0.79 - - - - Y10 - - - - 0.63 - - - - Y11 - - - - - - 0.76 - -


Y12 - - - - - - 0.71 - - Y13 - - - - - - 0.64 - - Y14 - - - - - - - - 0.78 Y15 - - - - - - - - 0.79 Y16 - - - - - - - - 0.74 LAMBDA-X EA -------- X1 0.72 X2 0.72 X3 0.68 BETA HC PPF PQ PV RI -------- -------- -------- -------- -------- HC - - - - - - - - - - PPF - - - - - - - - - - PQ - - - - - - - - - - PV 0.27 0.21 0.51 - - - - RI - - - - - - 0.57 - - GAMMA EA -------- HC 0.54 PPF 0.51 PQ 0.63 PV - - RI - - Correlation Matrix of ETA and KSI HC PPF PQ PV RI EA -------- -------- -------- -------- -------- -------- HC 1.00 PPF 0.28 1.00 PQ 0.34 0.32 1.00 PV 0.51 0.45 0.67 1.00 RI 0.29 0.25 0.38 0.57 1.00 EA 0.54 0.51 0.63 0.58 0.33 1.00 PSI Note: This matrix is diagonal. HC PPF PQ PV RI -------- -------- -------- -------- --------


0.71 0.74 0.60 0.42 0.68 THETA-EPS Y1 Y2 Y3 Y4 Y5 Y6 -------- -------- -------- -------- -------- -------- Y1 0.64 Y2 - - 0.45 Y3 - - -0.20 0.31 Y4 - - - - - - 0.44 Y5 - - - - - - -0.41 0.50 Y6 - - - - - - -0.28 -0.20 0.39 Y7 - - - - - - - - - - - - Y8 - - - - - - - - - - - - Y9 - - - - - - - - - - - - Y10 - - - - - - - - - - - - Y11 - - - - - - - - - - - - Y12 - - - - - - - - - - - - Y13 - - - - - - - - - - - - Y14 - - - - - - - - - - - - Y15 - - - - - - - - - - - - Y16 - - - - - - - - - - - - THETA-EPS Y7 Y8 Y9 Y10 Y11 Y12 -------- -------- -------- -------- -------- -------- Y7 0.49 Y8 - - 0.54 Y9 -0.15 -0.20 0.37 Y10 - - - - - - 0.60 Y11 - - - - - - - - 0.43 Y12 - - - - - - - - -0.16 0.50 Y13 - - - - - - - - - - - - Y14 - - - - - - - - - - - - Y15 - - - - - - - - - - - - Y16 - - - - - - - - - - - - THETA-EPS Y13 Y14 Y15 Y16 -------- -------- -------- -------- Y13 0.59 Y14 - - 0.40 Y15 - - -0.18 0.38 Y16 - - -0.34 -0.25 0.45 THETA-DELTA X1 X2 X3


-------- -------- -------- X1 0.49 X2 -0.18 0.49 X3 - - -0.17 0.54 Regression Matrix ETA on KSI (Standardized) EA -------- HC 0.54 PPF 0.51 PQ 0.63 PV 0.58 RI 0.33 Time used: 0.062 Seconds






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