KUESIONER PENELITIAN ANALISIS DISKRIMINAN DALAM MENENTUKAN FAKTOR DOMINAN YANG MENYEBABKAN KENAKALAN REMAJA DAN PENGARUHNYA TERHADAP PRESTASI (studi kasus : SMA PRAYATNA MEDAN)
Lampiran 1 : Contoh Kuesioner Penelitian
KUESIONER PENELITIAN
ANALISIS DISKRIMINAN DALAM MENENTUKAN FAKTOR
DOMINAN YANG MENYEBABKAN KENAKALAN REMAJA DAN
PENGARUHNYA TERHADAP PRESTASI
(studi kasus : SMA PRAYATNA MEDAN)
1.Nama/Inisial : …………………………………… 2. Jenis Kelamin : Pria Wanita 3. Rata - rata nilai rapor : ……………………………………
Petunjuk Pengisian Kuesioner : Cara Pengisian Kuesioner:
1. Mohon memberi tanda silang (x) pada jawaban yang Saudara anggap benar
2. Setiap pertanyaan hanya membutuhkan satu jawaban saja
3. Mohon memberikan jawaban yang sebenar-benarnya
4.Setelah melakukan pengisian, mohon Saudara mengembalikannya kepada yang
No Pernyataan STS TS RG S SS
1. Orang tua saya jarang menanyakan kesiapan tugas saya sehingga saya malas belajar.
2. Keributan orang tua saya menyebabkan saya malas belajar.
3. Cerita tentang kebiasaan saya disekolah jarang didengar orang tua saya.
4. Teman teman saya rajin dan pintar jadi saya tak usah belajar lagi
5. Kediaman akan ketidaktahuan tugas membuat saya malas belajar
6. Waktu bersama temanteman itu lebih banyak dari pada belajar menurut saya
7. Menyontek itu bukan dosa besar bagi saya.
8. Tak ada uang membeli buku malas bagi saya untuk belajar.
Hormat saya, Siti Rayani Simatupang Lampiran 2 Hasil Output Spss For Windows17.0
Model Summary
Change Statistics Adjusted R Std. Error of R Square
Model R R Square Square the Estimate Change F Change df1 df2 Sig. F Change
a
1 .355 .126 .027 .46898 .126 1.269
9 79 .267
a. Predictors: (Constant), VAR00009, VAR00008, VAR00003, VAR00005, VAR00002, VAR00001, VAR00004,
VAR00006, VAR00007
Correlations
X1 X2
X3 X4
X5 X6
X7 X8
X9 X10
X1 Pearson 1 -.089 .126 .013 -.066 .063 .037 .085 -.146 .108 Correlation Sig. (2-tailed) .409 .239 .905 .540 .557 .728 .427 .171 .312 N
89
89
89
89
89
89
89
89
89
89
- X2 Pearson -.089
1 .069 .071 -.031 .230 .014 .088 .166 .001 Correlation Sig. (2-tailed) .409 .522 .508 .772 .030 .899 .413 .121 .990 N
89
89
89
89
89
89
89
89
89
89
- X3 Pearson .126 .069
1 -.048 -.127 .122 .253 .009 -.011 -.063 Correlation Sig. (2-tailed) .239 .522 .653 .235 .257 .017 .935 .918 .559 N
89
89
89
89
89
89
89
89
89
89
- X4 Pearson .013 .071 -.048
1 -.023 -.013 .277 .203 .088 -.067 Correlation Sig. (2-tailed) .905 .508 .653 .832 .900 .009 .057 .413 .531 N
89
89
89
89
89
89
89
89
89
89 X5 Pearson -.066 -.031 -.127 -.023 1 -.065 -.117 -.016 .090 -.086 Correlation Sig. (2-tailed) .540 .772 .235 .832 .542 .276 .881 .400 .425 N
89
89
89
89
89
89
89
89
89
89
X6 Pearson .063 .230 .122 -.013 -.065 1 .321 .136 .147 -.281 Correlation Sig. (2-tailed) .557 .030 .257 .900 .542 .002 .205 .168 .008 N
89
89
89
89
89
89
89
89
89
89
X7 Pearson .037 .014 .253 .277 -.117 .321 1 .064 .120 -.063 Correlation Sig. (2-tailed) .728 .899 .017 .009 .276 .002 .553 .261 .559 N
89
89
89
89
89
89
89
89
89
89 X8 Pearson .085 .088 .009 .203 -.016 .136 .064 1 .011 -.040 Correlation
- .146 .166 -.011 .088 .090 .147 .120 .011 1 -.082
89
89 X10 Pearson Correlation
.108 .001 -.063 -.067 -.086 -.281
1 Sig. (2-tailed) .312 .990 .559 .531 .425 .008 .559 .708 .443 N
89
89
89
89
89
89
89
89
89
89 *. Correlation is significant at the 0.05 level (2-tailed).
Log Determinants
Y Rank Log
Determinant .00 1 .235
1.00 1 .570 Pooled within- groups
89
89
1 .470 The ranks and natural logarithms of determinants printed are those of the group covariance matrices.
89
Sig. (2-tailed) .427 .413 .935 .057 .881 .205 .553 .920 .708 N
89
89
89
89
89
89
89
89
89
89 X9 Pearson Correlation
Sig. (2-tailed) .171 .121 .918 .413 .400 .168 .261 .920 .443 N
89
89
89
89
89
- .063 -.040 -.082
- . Correlation is significant at the 0.01 level (2-tailed).
Covariance Matrices a
Y
X1 X2
X3 X4
X5 X6
X7 X8
X9 Total X1 .978 -.103 .161 .016 -.085 .082 .049 .098 -.214 X2 -.103 1.390 .105 .106 -.048 .355 .021 .120 .289 X3 .161 .105 1.672 -.079 -.214 .206 .431 .013 -.021 X4 .016 .106 -.079 1.604 -.038 -.022 .462 .298 .165 X5 -.085 -.048 -.214 -.038 1.693 -.112 -.200 -.024 .174 X6 .082 .355 .206 -.022 -.112 1.717 .556 .206 .286 X7 .049 .021 .431 .462 -.200 .556 1.739 .098 .235 X8 .098 .120 .013 .298 -.024 .206 .098 1.345 .019 X9 -.214 .289 -.021 .165 .174 .286 .235 .019 2.191 a. The total covariance matrix has 88 degrees of freedom.
Test Results
Box's M 1.043 F Approx. 1.029 df1
1 df2 16682.694 Sig. .310
Group Statistics
Y Mean Std.
Deviation Valid N (listwise)
Unweighted Weighted .00 X1 2.3000 .91539 30 30.000
X2 2.2000 1.18613 30 30.000 X3 2.9333 1.17248 30 30.000
X4 2.4333 1.35655 30 30.000 X5 3.1667 1.28877 30 30.000
X6 3.3333 1.12444 30 30.000 X7 2.7333 1.38796 30 30.000
X8 2.2000 1.24291 30 30.000 X9 2.8667 1.40770 30 30.000
1.00 X1 2.5254 1.02311 59 59.000 X2 2.2034 1.18583 59 59.000 X3 2.7627 1.35620
59 59.000 X4 2.2542 1.22606 59 59.000 X5 2.9322 1.31128
59 59.000 X6 2.5593 1.32965 59 59.000 X7 2.5593 1.29016
59 59.000 X8 2.1017 1.12487 59 59.000 X9 2.6102 1.52017
59 59.000 Total X1 2.4494 .98870 89 89.000 X2 2.2022 1.17917 89 89.000 X3 2.8202 1.29300
89 89.000 X4 2.3146 1.26667 89 89.000 X5 3.0112 1.30117
89 89.000 X6 2.8202 1.31046 89 89.000 X7 2.6180 1.31862
89 89.000 X8 2.1348 1.15985 89 89.000 X9 2.6966 1.48021
89 89.000
Variables Entered/Removed a,b,c,d
Step Entered Wilks' Lambda
Statistic df1 df2 df3 Exact F Statistic df1 df2 Sig.
1 X6 .921
1 1 87.000 7.446 1 87.000 .008 At each step, the variable that minimizes the overall Wilks' Lambda is entered.
a. Maximum number of steps is 18.
b. Maximum significance of F to enter is .05.
c. Minimum significance of F to remove is .10.
d. F level, tolerance, or VIN insufficient for further computation.
Variables in the Analysis
Step Tolerance Sig. of F to
Remove
1 X6 1.000 .008
Variables Not in the Analysis
Step Tolerance Min.
Tolerance Sig. of F to
Enter Wilks'
Lambda X1 1.000 1.000 .312 .988 X2 1.000 1.000 .990 1.000 X3 1.000 1.000 .559 .996 X4 1.000 1.000 .531 .995 X5 1.000 1.000 .425 .993 X6 1.000 1.000 .008 .921 X7 1.000 1.000 .559 .996 X8 1.000 1.000 .708 .998 X9 1.000 1.000 .443 .993
1 X1 .990 .990 .221 .905 X2 .943 .943 .514 .917
X3 .988 .988 .781 .920 X4 .999 .999 .493 .916 X5 .991 .991 .314 .910 X7 .899 .899 .779 .920 X8 .983 .983 .983 .921 X9 .983 .983 .689 .919
Wilks' Lambda
Step Number of
Variables Lambda df1 df2 df3 Exact F Statistic df1 df2 Sig.
1 1 .921
1
1 87 7.446 1 87.000 .008
Standardized Canonical Discriminant Function Coefficients
Function
1 X6 1.000
Prior Probabilities for Groups
Cases Used in Analysis
Canonical Discriminant Function
Y Prior Unweighted Weighted
Coefficients
.00 .500 30 30.000 Function
1.00 .500 59 59.000
1 Total 1.000 89 89.000 X6 .791 (Constant) -2.230
Structure Matrix
Function
1 Functions at Group Centroids X6 1.000
Function
a
X7 .317 Y
1
a
X2 .240 .00 .406 a
X9 .130 1.00 -.206 a
X8 .130 Unstandardized canonical discriminant a
X3 .109 functions evaluated at group means
a
X1 .098
a
X5 -.094
a
X4 -.034
Classification Results b,c
10
Y .00
Classification Function Coefficients
c. 59.6% of cross-validated grouped cases correctly classified.
b. 59.6% of original grouped cases correctly classified.
a. Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the functions derived from all cases other than that case.
44.1 55.9 100.0
1.00
66.7 33.3 100.0
59 % .00
33
26
1.00
30
20
Y Predicted Group
Count .00
a
44.1 55.9 100.0 Cross-validated
1.00
66.7 33.3 100.0
59 % .00
33
26
1.00
30
10
20
1.00 Original Count .00
Membership Total .00
1.00 X6 2.083 1.599 (Constant) -4.165 -2.740 Fisher's linear discriminant functions