contoh laporan analisis

DATA

Timestamp

Jenis Kelamin

masa Kerja

Anda puas dengan gaji yang diterima sekarang

Anda puas kesempatan karir yang diberikan perusahaan

Anda puas rekan kerja yang ada sekarang

Anda puas pekerjaan yang anda tekuni sekarang

Anda puas dengan cara pimpinan mengawasi pekerjaan anda

6/4/2012 0:58:45

1

Laki-Laki

> 3 tahun

2

3

3

4

4

4

7/17/2012 11:41:47

2

Laki-Laki

< 1 tahun

1

7

7

7

7

7

10/13/2012 17:33:07

3

Laki-Laki

1 - 3 tahun

2

5

5

5

5

5

10/25/2012 11:53:39

4

Laki-Laki

> 3 tahun

2

4

4

4

4

3

11/7/2012 9:54:31

5

Wanita

< 1 tahun

1

7

4

6

7

5

1/4/2013 8:19:02

6

Laki-Laki

< 1 tahun

1

5

4

4

4

4

2/4/2013 4:53:47

7

Laki-Laki

< 1 tahun

1

3

4

4

4

5

2/5/2013 2:27:43

8

Laki-Laki

< 1 tahun

1

4

3

5

3

5

2/25/2013 4:04:09

9

Laki-Laki

> 3 tahun

2

2

2

4

7

4

3/3/2013 11:08:56

10

Laki-Laki

< 1 tahun

1

1

2

3

2

2

3/18/2013 12:23:57

11

Wanita

< 1 tahun

1

1

1

1

1

1

3/26/2013 5:13:44

12

Laki-Laki

< 1 tahun

1

4

4

6

6

2

5/5/2013 2:03:19

13

Laki-Laki

> 3 tahun

2

1

1

1

1

1

5/5/2013 2:11:26

14

Laki-Laki

> 3 tahun

2

1

1

1

1

1

5/5/2013 2:11:56

15

Laki-Laki

> 3 tahun

2

1

1

1

1

1

Frequencies

Frequency Table

Factor Analysis

Reliability

Scale: ALL VARIABLES

Descriptives

Crosstabs

masa * gaji

masa * karir

masa * rekan

masa * pekerjaan

masa * pengawasan

T-Test

NPar Tests

T-Test

NPar Tests

Mann-Whitney Test

NPar Tests

Mann-Whitney Test

Total Variance Explained

4.347

86.949

86.949

4.347

86.949

86.949

.295

5.894

92.843

.194

3.887

96.730

.101

2.018

98.749

.063

1.251

100.000

Component

1

2

3

4

5

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Initial Eigenvalues

Extraction Sums of Squared Loadings

Extraction Method: Principal Component Analysis.

Component Matrix

a

.942

.943

.966

.896

.912

gaji

karir

rekan

pekerjaan

pengawasan

1

Componen

t

Extraction Method: Principal Component Analysis.

1 components extracted.

a.

Rotated Component Matrix

a

Only one component was extracted.

The solution cannot be rotated.

a.

Case Processing Summary

15

100.0

0

.0

15

100.0

Valid

Excluded

a

Total

Cases

N

%

Listwise deletion based on all variables in the procedure.

a.

Reliability Statistics

.960

5

Cronbach's

Alpha

N of Items

Descriptive Statistics

15

1.00

7.00

3.2667

2.12020

15

1.00

7.00

3.0667

1.75119

15

1.00

7.00

3.7333

1.98086

15

1.00

7.00

3.8000

2.27408

15

1.00

7.00

3.3333

1.91485

15

gaji

karir

rekan

pekerjaan

pengawasan

Valid N (listwise)

N

Minimum

Maximum

Mean

Std. Deviation

Case Processing Summary

15

100.0%

0

.0%

15

100.0%

15

100.0%

0

.0%

15

100.0%

15

100.0%

0

.0%

15

100.0%

15

100.0%

0

.0%

15

100.0%

15

100.0%

0

.0%

15

100.0%

masa * gaji

masa * karir

masa * rekan

masa * pekerjaan

masa * pengawasan

N

Percent

N

Percent

N

Percent

Valid

Missing

Total

Cases

Crosstab

Count

2

0

1

2

1

2

8

3

1

1

1

1

0

7

5

1

2

3

2

2

15

1

3

masa

Total

1.00

2.00

3.00

4.00

5.00

7.00

gaji

Total

Chi-Square Tests

3.482

a

5

.626

4.633

5

.462

2.051

1

.152

15

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear

Association

N of Valid Cases

Value

df

Asymp. Sig.

(2-sided)

12 cells (100.0%) have expected count less than 5.

The minimum expected count is .47.

a.

Crosstab

Count

1

1

1

4

0

1

8

3

1

1

1

1

0

7

4

2

2

5

1

1

15

1

3

masa

Total

1.00

2.00

3.00

4.00

5.00

7.00

karir

Total

Chi-Square Tests

4.754

a

5

.447

5.680

5

.339

1.743

1

.187

15

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear

Association

N of Valid Cases

Value

df

Asymp. Sig.

(2-sided)

12 cells (100.0%) have expected count less than 5.

The minimum expected count is .47.

a.

Crosstab

Count

1

1

2

1

2

1

8

3

0

3

1

0

0

7

4

1

5

2

2

1

15

1

3

masa

Total

1.00

3.00

4.00

5.00

6.00

7.00

rekan

Total

Chi-Square Tests

5.156

a

5

.397

6.726

5

.242

2.568

1

.109

15

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear

Association

N of Valid Cases

Value

df

Asymp. Sig.

(2-sided)

12 cells (100.0%) have expected count less than 5.

The minimum expected count is .47.

a.

Crosstab

Count

1

1

1

2

0

1

2

8

3

0

0

2

1

0

1

7

4

1

1

4

1

1

3

15

1

3

masa

Total

1.00

2.00

3.00

4.00

5.00

6.00

7.00

pekerjaan

Total

Chi-Square Tests

5.290

a

6

.507

6.865

6

.334

.671

1

.413

15

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear

Association

N of Valid Cases

Value

df

Asymp. Sig.

(2-sided)

14 cells (100.0%) have expected count less than 5.

The minimum expected count is .47.

a.

Crosstab

Count

1

2

0

1

3

1

8

3

0

1

2

1

0

7

4

2

1

3

4

1

15

1

3

masa

Total

1.00

2.00

3.00

4.00

5.00

7.00

pengawasan

Total

Chi-Square Tests

6.295

a

5

.279

7.911

5

.161

1.372

1

.242

15

Pearson Chi-Square

Likelihood Ratio

Linear-by-Linear

Association

N of Valid Cases

Value

df

Asymp. Sig.

(2-sided)

12 cells (100.0%) have expected count less than 5.

The minimum expected count is .47.

a.

Group Statistics

8

4.0000

2.32993

.82375

7

2.4286

1.61835

.61168

8

3.6250

1.76777

.62500

7

2.4286

1.61835