LAMPIRAN
Lampiran 1 : Rancangan Kuesioner
Students Perception of Accountant Major 1. Jenis Kelamin Laki-laki Perempuan 2. Umur 15 16 17 18 3. Kelas 10 11 12 4. Jurusan IPA IPS 5. Domisili Sekolah Kupang Makassar Sidoarjo Surabaya 6. Jenis Sekolah
SMA Swasta SMA Negeri SMK Swasta SMK Negeri
7. Apakah setelah selesai menempuh sekolah menengah, kamu akan melanjutkan studi ke perguruan tinggi?
Yes No Maybe
8. Jika memilih tidak atau mungkin, apakah karena alasan berikut ini : Saya telah memilih yes dipertanyaan sebelumnya
Saya memilih tidak, karena setelah lulus sekolah menengah saya pasti akan mencari pekerjaan
Saya memilih mungkin, karena saya masih memiliki keinginan berkuliah namun saya harus bekerja untuk membiayai kuliah saya
Berikut pertanyaan mengenai attitudes toward choosing accounting major, subjectve norms, perceive behavior ( self efficacy ) dan intention to choose accouting major menggunakan skala jawaban 1-5
Skala jawaban: 1. Sangat tidak setuju; 2. Tidak setuju; 3. Netral; 4. Setuju; 5. Sangat setuju
No Pertanyaan 1 2 3 4 5
A1 Memilih jurusan akuntansi tampaknya bagus bagi saya
A2 Akan sangat bijak bagi saya bila saya memilih jurusan akuntansi
G1 Saya suka akuntansi
G2 Menurut saya akuntansi itu menarik
G3 Saya memiliki ketertarikan terhadap hal yang berbau akuntansi
J1 Jika saya memilih jurusan akuntansi, akan selalu ada permintaan perusahaan yang
banyak terhadap orang-orang seperti saya
J2 Jika saya memilih jurusan akuntansi, keamanan pekerjaan saya akan tinggi ( pasti
mendapatkan pekerjaan )
M1 Perusahaan banyak mencari seorang akuntan profesional M2 Kalau saya memilih jurusan akuntansi, saya akan memiliki
karir yang terpandang
M3 Dunia bisnis memperlakukan akuntan dengans sangat terpandang
R1 Keluarga saya ingin saya memilih jurusan akuntansi R4 Guru BK menyarankan saya memilih jurusan akuntansi R5 Guru saya berpendapat bahwa seharusnya saya memilih
jurusan akuntansi
SE1 Kursus yang saya ambil sejauh ini akan cukup mempersiapkan saya untuk
menangani tugas di jurusan ini
SE2 Kemampuan kuantitatif saya yang kuat akan membantu saya bekerja dengan baik di
jurusan ini
I1 Saya berminat mengambil jurusan akuntansi
I2 Kemungkinan besar saya akan menagmbil jurusan akuntansi A1 Memilih jurusan akuntansi sepertinya ide yang bagus bagi
saya
A2 Akan sangat bijak bagi saya bila saya memilih jruusan akuntansi
Lampiran 2 : Rancangan WarpPLS
******************************** * General SEM analysis results * ********************************
General project information ---
Version of WarpPLS used: 5.0
License holder: Trial license (3 months) Type of license: Trial license (3 months) License start date: 12-Dec-2018
License end date: 12-Mar-2019
Project path (directory): D:\TUGAS semester 7\Jurnal\ Project file: wrapPLSkuisioner.prj
Last changed: 12-Dec-2018 01:29:49 Last saved: Never (needs to be saved)
Raw data path (directory): D:\TUGAS semester 7\Jurnal\ Raw data file: kuesioner yg di bagi (Responses).xlsx
Model fit and quality indices ---
Average path coefficient (APC)=0.326, P<0.001 Average R-squared (ARS)=0.798, P<0.001
Average adjusted R-squared (AARS)=0.797, P<0.001
Average block VIF (AVIF)=3.004, acceptable if <= 5, ideally <= 3.3
Average full collinearity VIF (AFVIF)=3.713, acceptable if <= 5, ideally <= 3.3 Tenenhaus GoF (GoF)=0.809, small >= 0.1, medium >= 0.25, large >= 0.36 Sympson's paradox ratio (SPR)=1.000, acceptable if >= 0.7, ideally = 1
R-squared contribution ratio (RSCR)=1.000, acceptable if >= 0.9, ideally = 1 Statistical suppression ratio (SSR)=1.000, acceptable if >= 0.7
Nonlinear bivariate causality direction ratio (NLBCDR)=1.000, acceptable if >= 0.7
General model elements ---
Missing data imputation algorithm: Arithmetic Mean Imputation Outer model analysis algorithm: PLS Regression
Default inner model analysis algorithm: Warp3 Multiple inner model analysis algorithms used? No Resampling method used in the analysis: Stable3 Number of data resamples used: 100
Number of cases (rows) in model data: 351 Number of latent variables in model: 4 Number of indicators used in model: 17 Number of iterations to obtain estimates: 6 Range restriction variable type: None Range restriction variable: None
Range restriction variable min value: 0.000 Range restriction variable max value: 0.000 Only ranked data used in analysis? No
********************************** * Path coefficients and P values *
**********************************
Path coefficients ---
ATT ITCA SELF family ATT ITCA 0.302 0.329 0.349 SELF family P values ---
ATT ITCA SELF family ATT
ITCA <0.001 <0.001 <0.001 SELF
family
***************************************** * Standard errors for path coefficients *
*****************************************
ATT ITCA SELF family ATT
ITCA 0.051 0.051 0.051 SELF
family
************************************** * Effect sizes for path coefficients *
ATT ITCA SELF family ATT ITCA 0.250 0.267 0.280 SELF family **************************************** * Combined loadings and cross-loadings *
****************************************
ATT ITCA SELF family Type (a SE P value APT 0.807 0.686 0.216 0.162 Reflect 0.047 <0.001 DoC 0.603 -1.103 -0.019 0.290 Reflect 0.049 <0.001 DIM 0.571 -1.077 0.091 0.070 Reflect 0.049 <0.001 GIA 0.810 0.665 0.370 -0.060 Reflect 0.047 <0.001 JA 0.860 0.194 -0.332 0.145 Reflect 0.047 <0.001 JS 0.820 0.316 -0.017 -0.129 Reflect 0.047 <0.001 JSC 0.868 0.192 -0.342 0.124 Reflect 0.047 <0.001 PI 0.658 -0.718 -0.097 0.113 Reflect 0.049 <0.001 SI 0.899 0.041 -0.000 -0.197 Reflect 0.047 <0.001 WL 0.841 0.037 0.174 -0.382 Reflect 0.047 <0.001 I1 -0.091 0.955 0.077 -0.029 Reflect 0.046 <0.001 I2 -0.000 0.942 -0.174 0.068 Reflect 0.047 <0.001 I3 0.038 0.898 0.126 -0.157 Reflect 0.047 <0.001 I4 0.057 0.938 -0.024 0.112 Reflect 0.047 <0.001 PBCE1 0.154 0.437 0.892 0.001 Reflect 0.047 <0.001 PBCE2 -0.154 -0.437 0.892 -0.001 Reflect 0.047 <0.001 SNMF -0.000 0.000 0.000 1.000 Reflect 0.046 <0.001
Notes: Loadings are unrotated and cross-loadings are oblique-rotated. SEs and P values are for loadings. P values < 0.05 are desirable for reflective indicators.
*************************************************** * Normalized combined loadings and cross-loadings *
***************************************************
ATT ITCA SELF family APT 0.481 0.928 0.292 0.219 DoC 0.726 -0.627 -0.011 0.165 DIM 0.753 -0.619 0.052 0.040 GIA 0.494 0.871 0.485 -0.078 JA 0.596 0.205 -0.352 0.153 JS 0.585 0.426 -0.023 -0.175 JSC 0.597 0.197 -0.351 0.127 PI 0.699 -0.493 -0.067 0.078 SI 0.617 0.040 -0.000 -0.192 WL 0.620 0.036 0.167 -0.366 I1 -0.092 0.587 0.077 -0.029 I2 -0.000 0.590 -0.167 0.065 I3 0.041 0.573 0.136 -0.170 I4 0.069 0.575 -0.029 0.136 PBCE1 0.264 0.746 0.552 0.002 PBCE2 -0.103 -0.291 0.657 -0.001 SNMF -0.000 0.000 0.000 1.000
Note: Loadings are unrotated and cross-loadings are oblique-rotated, both after separate Kaiser normalizations.
*************************************** * Pattern loadings and cross-loadings *
ATT ITCA SELF family APT -0.058 0.686 0.216 0.162 DoC 1.337 -1.103 -0.019 0.290 DIM 1.361 -1.077 0.091 0.070 GIA 0.002 0.665 0.370 -0.060 JA 0.850 0.194 -0.332 0.145 JS 0.656 0.316 -0.017 -0.129 JSC 0.885 0.192 -0.342 0.124 PI 1.258 -0.718 -0.097 0.113 SI 1.007 0.041 -0.000 -0.197 WL 0.953 0.037 0.174 -0.382 I1 -0.091 0.987 0.077 -0.029 I2 -0.000 1.029 -0.174 0.068 I3 0.038 0.904 0.126 -0.157 I4 0.057 0.812 -0.024 0.112 PBCE1 0.154 0.437 0.358 0.001 PBCE2 -0.154 -0.437 1.427 -0.001 SNMF -0.000 0.000 0.000 1.000
Note: Loadings and cross-loadings are oblique-rotated.
************************************************** * Normalized pattern loadings and cross-loadings *
**************************************************
ATT ITCA SELF family APT -0.078 0.928 0.292 0.219 DoC 0.761 -0.627 -0.011 0.165 DIM 0.782 -0.619 0.052 0.040 GIA 0.003 0.871 0.485 -0.078
JA 0.900 0.205 -0.352 0.153 JS 0.887 0.426 -0.023 -0.175 JSC 0.907 0.197 -0.351 0.127 PI 0.864 -0.493 -0.067 0.078 SI 0.981 0.040 -0.000 -0.192 WL 0.915 0.036 0.167 -0.366 I1 -0.092 0.992 0.077 -0.029 I2 -0.000 0.984 -0.167 0.065 I3 0.041 0.975 0.136 -0.170 I4 0.069 0.988 -0.029 0.136 PBCE1 0.264 0.746 0.612 0.002 PBCE2 -0.103 -0.291 0.951 -0.001 SNMF -0.000 0.000 0.000 1.000
Note: Loadings and cross-loadings shown are after oblique rotation and Kaiser normalization.
***************************************** * Structure loadings and cross-loadings *
*****************************************
ATT ITCA SELF family APT 0.807 0.920 0.811 0.814 DoC 0.603 0.286 0.357 0.344 DIM 0.571 0.244 0.339 0.272 GIA 0.810 0.894 0.828 0.742 JA 0.860 0.703 0.638 0.665 JS 0.820 0.691 0.673 0.603 JSC 0.868 0.707 0.645 0.664 PI 0.658 0.366 0.413 0.384 SI 0.899 0.686 0.693 0.601
WL 0.841 0.643 0.663 0.531 I1 0.750 0.955 0.780 0.752 I2 0.744 0.942 0.729 0.762 I3 0.763 0.898 0.752 0.708 I4 0.777 0.938 0.759 0.777 PBCE1 0.787 0.835 0.892 0.709 PBCE2 0.628 0.608 0.892 0.530 SNMF 0.737 0.803 0.694 1.000
Note: Loadings and cross-loadings are unrotated.
**************************************************** * Normalized structure loadings and cross-loadings *
****************************************************
ATT ITCA SELF family APT 0.481 0.548 0.483 0.485 DoC 0.726 0.343 0.429 0.414 DIM 0.753 0.322 0.448 0.359 GIA 0.494 0.545 0.505 0.452 JA 0.596 0.487 0.442 0.460 JS 0.585 0.493 0.480 0.430 JSC 0.597 0.487 0.444 0.457 PI 0.699 0.389 0.439 0.409 SI 0.617 0.471 0.476 0.413 WL 0.620 0.473 0.489 0.391 I1 0.461 0.587 0.479 0.462 I2 0.465 0.590 0.456 0.477 I3 0.487 0.573 0.480 0.452 I4 0.476 0.575 0.465 0.476 PBCE1 0.487 0.516 0.552 0.438
PBCE2 0.463 0.448 0.657 0.390 SNMF 0.451 0.492 0.425 0.612
Note: Loadings and cross-loadings shown are unrotated and after Kaiser normalization.
********************* * Indicator weights * *********************
ATT ITCA SELF family Type (a SE P value VIF WLS ES APT 0.132 0.000 0.000 0.000 Reflect 0.052 0.006 5.865 1 0.107 DoC 0.099 0.000 0.000 0.000 Reflect 0.053 0.031 2.317 1 0.060 DIM 0.094 0.000 0.000 0.000 Reflect 0.053 0.038 2.251 1 0.053 GIA 0.133 0.000 0.000 0.000 Reflect 0.052 0.006 5.770 1 0.107 JA 0.141 0.000 0.000 0.000 Reflect 0.052 0.004 4.727 1 0.121 JS 0.134 0.000 0.000 0.000 Reflect 0.052 0.005 2.881 1 0.110 JSC 0.142 0.000 0.000 0.000 Reflect 0.052 0.003 4.925 1 0.123 PI 0.108 0.000 0.000 0.000 Reflect 0.053 0.021 1.810 1 0.071 SI 0.147 0.000 0.000 0.000 Reflect 0.052 0.003 4.390 1 0.132 WL 0.138 0.000 0.000 0.000 Reflect 0.052 0.004 3.064 1 0.116 I1 0.000 0.274 0.000 0.000 Reflect 0.051 <0.001 6.414 1 0.261 I2 0.000 0.270 0.000 0.000 Reflect 0.051 <0.001 5.459 1 0.255 I3 0.000 0.258 0.000 0.000 Reflect 0.051 <0.001 3.169 1 0.232 I4 0.000 0.269 0.000 0.000 Reflect 0.051 <0.001 4.855 1 0.252 PBCE1 0.000 0.000 0.560 0.000 Reflect 0.049 <0.001 1.541 1 0.500 PBCE2 0.000 0.000 0.560 0.000 Reflect 0.049 <0.001 1.541 1 0.500 SNMF 0.000 0.000 0.000 1.000 Reflect 0.046 <0.001 0.000 1 1.000
Notes: P values < 0.05 and VIFs < 2.5 are desirable for formative indicators; VIF = indicator variance inflation factor;
WLS = indicator weight-loading sign (-1 = Simpson's paradox in l.v.); ES = indicator effect size.
******************************** * Latent variable coefficients *
********************************
R-squared coefficients ---
ATT ITCA SELF family 0.798
Adjusted R-squared coefficients ---
ATT ITCA SELF family 0.797
Composite reliability coefficients ---
ATT ITCA SELF family 0.939 0.964 0.887 1.000
Cronbach's alpha coefficients ---
ATT ITCA SELF family 0.926 0.951 0.744 1.000
Average variances extracted ---
ATT ITCA SELF family 0.611 0.871 0.796 1.000
Full collinearity VIFs ---
ATT ITCA SELF family 3.650 4.763 3.438 3.000
Q-squared coefficients ---
ATT ITCA SELF family 0.799
Minimum and maximum values ---
ATT ITCA SELF family -2.940 -1.610 -2.203 -1.364 2.216 1.674 1.697 1.587
Medians (top) and modes (bottom) ---
-0.004 0.032 0.227 0.111 -0.362 0.032 -0.253 0.111
Skewness (top) and exc. kurtosis (bottom) coefficients ---
ATT ITCA SELF family -0.348 -0.028 -0.332 0.048 0.353 -1.061 -0.318 -1.166
Tests of unimodality: Rohatgi-Székely (top) and Klaassen-Mokveld-van Es (bottom)
---
ATT ITCA SELF family Yes Yes Yes Yes Yes Yes Yes Yes
Tests of normality: Jarque–Bera (top) and robust Jarque–Bera (bottom) ---
ATT ITCA SELF family
No No No No
No No No No
*************************************************** * Ccorrelations among latent variables and errors *
***************************************************
Correlations among l.vs. with sq. rts. of AVEs ---
ATT ITCA SELF family ATT 0.782 0.812 0.793 0.737 ITCA 0.812 0.933 0.809 0.803 SELF 0.793 0.809 0.892 0.694 family 0.737 0.803 0.694 1.000
Note: Square roots of average variances extracted (AVEs) shown on diagonal.
P values for correlations ---
ATT ITCA SELF family ATT 1.000 <0.001 <0.001 <0.001 ITCA <0.001 1.000 <0.001 <0.001 SELF <0.001 <0.001 1.000 <0.001 family <0.001 <0.001 <0.001 1.000
Correlations among l.v. error terms with VIFs ---
There is nothing to show here, likely due to at least one of the following reasons: - There is only one endogenous latent variable in the model.
- No links among latent variables have been defined.
************************************ * Block variance inflation factors *
************************************
ATT
ITCA 3.584 2.998 2.431 SELF
family
Note: These VIFs are for the latent variables on each column (predictors), with reference to the latent variables on each row (criteria).
****************************** * Indirect and total effects *
******************************
Total effects
---
ATT ITCA SELF family ATT
ITCA 0.302 0.329 0.349 SELF
family
Number of paths for total effects ---
ATT ITCA SELF family ATT
ITCA 1 1 1
SELF family
P values for total effects ---
ATT
ITCA <0.001 <0.001 <0.001 SELF
family
Standard errors for total effects ---
ATT ITCA SELF family ATT
ITCA 0.051 0.051 0.051 SELF
family
Effect sizes for total effects ---
ATT ITCA SELF family ATT
ITCA 0.250 0.267 0.280 SELF
family
************************************* * Causality assessment coefficients *
*************************************
Path-correlation signs ---
ATT ITCA SELF family
ATT
SELF
family
Notes: path-correlation signs; negative sign (i.e., -1) = Simpson's paradox.
R-squared contributions ---
ATT ITCA SELF family
ATT
ITCA 0.250 0.267 0.280
SELF
family
Notes: R-squared contributions of predictor lat. vars.; columns = predictor lat. vars.; rows = criteria lat. vars.; negative sign = reduction in R-squared.
Path-correlation ratios ---
ATT ITCA SELF family
ATT
ITCA 0.364 0.404 0.434
SELF
family
Notes: absolute path-correlation ratios; ratio > 1 indicates statistical suppression; 1 < ratio <= 1.3: weak suppression; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.
Path-correlation differences ---
ATT ITCA SELF family
ATT
ITCA 0.527 0.485 0.456
SELF
family
Note: absolute path-correlation differences.
P values for path-correlation differences ---
ATT ITCA SELF family
ATT
ITCA <0.001 <0.001 <0.001
SELF
family
Note: P values for absolute path-correlation differences.
Warp2 bivariate causal direction ratios ---
ATT ITCA SELF family
ATT
ITCA 0.992 0.995 1.000
SELF
family
Notes: Warp2 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.
---
ATT ITCA SELF family
ATT
ITCA 0.007 0.004 0.000
SELF
family
Note: absolute Warp2 bivariate causal direction differences.
P values for Warp2 bivariate causal direction differences ---
ATT ITCA SELF family
ATT
ITCA 0.450 0.470 0.499
SELF
family
Note: P values for absolute Warp2 bivariate causal direction differences.
Warp3 bivariate causal direction ratios ---
ATT ITCA SELF family
ATT
ITCA 0.984 0.998 1.000
SELF
family
Notes: Warp3 bivariate causal direction ratios; ratio > 1 supports reversed link; 1 < ratio <= 1.3: weak support; 1.3 < ratio <= 1.7: medium; 1.7 < ratio: strong.
Warp3 bivariate causal direction differences ---
ATT ITCA SELF family
ATT
ITCA 0.013 0.002 0.000
SELF
family
Note: absolute Warp3 bivariate causal direction differences.
P values for Warp3 bivariate causal direction differences ---
ATT ITCA SELF family
ATT
ITCA 0.400 0.485 0.497
SELF
family
