C. VARIABEL STRES KERJA
SK20 --- SK 1,000 SK19 --- SK
,884 ,301 2,939 ,003 par_1 SK18 --- SK
,975 ,277 3,516 par_2 SK17 --- SK 1,013 ,321 3,152 ,002 par_3
SK16 --- SK 1,096 ,343 3,192 ,001 par_4 SK15 --- SK 1,119 ,321 3,487 par_5
SK14 --- SK
,506 ,258 3,962 ,049 par_6 SK13 --- SK
,203 ,230 2,881 ,038 par_7 SK12 --- SK
,170 ,217 2,784 ,033 par_8 SK11 --- SK
,196 ,209 2,940 ,047 par_9 SK10 --- SK
,640 ,257 2,490 ,013 par_10 SK9 --- SK
,561 ,227 2,475 ,013 par_11 SK8 --- SK
,921 ,278 3,312 par_12 SK7 --- SK
,601 ,248 2,427 ,015 par_13 SK6 --- SK
,722 ,275 2,625 ,009 par_14 SK5 --- SK
,803 ,285 2,819 ,005 par_15 SK4 --- SK
,530 ,231 2,293 ,022 par_16 SK3 --- SK 1,175 ,282 4,170 par_17
SK2 --- SK ,895 ,257 3,483 par_18
SK1 --- SK ,896 ,245 3,651 par_19
Reliability Statistics
Cronbachs Alpha
N of Items .844
20
D. VARIABEL TURNOVER INTENTION
TI1 --- TI 1,000 TI2 --- TI 1,365 ,302 4,520 par_32
TI3 --- TI ,732 ,268 2,727 ,006 par_33
TI4 --- TI 1,034 ,270 3,832 par_34 TI5 --- TI 1,033 ,285 3,630 par_35
Reliability Statistics
Cronbachs Alpha
N of Items .744
5
LAMPIRAN 5. UJI PRASYARAT SEM
A. UJI NORMALITAS
Assessment of normality Group number 1
Variable min
max skew
c.r. kurtosis
c.r. TI5
3,000 5,000
-,055 -,233
-,322 -,687
TI4 3,000
5,000 ,007
,029 ,205
,438 TI3
3,000 5,000
-,042 -,180
-,331 -,704
TI2 3,000
5,000 ,156
,666 -,162
-,345 TI1
3,000 5,000
,476 2,027
,861 1,835
KP8 2,000
5,000 -,309
-1,319 ,361
,768 KP7
2,000 5,000
-,088 -,375
-,090 -,191
KP6 2,000
5,000 ,041
,175 -,364
-,776 KP5
2,000 5,000
-,156 -,666
-,008 -,017
KP4 3,000
5,000 -,008
-,033 -,150
-,319 KP3
2,000 5,000
-,749 -3,193
,937 1,997
KP2 2,000
5,000 -,334
-1,425 ,330
,703 KP1
2,000 5,000
-,696 -2,968
,985 2,100
AP1 2,000
5,000 -,292
-1,245 ,588
1,254 AP2
2,000 5,000
-,452 -1,927
,383 ,816
AP3 2,000
5,000 -,274
-1,169 ,330
,703 AP4
2,000 5,000
-,085 -,362
-,102 -,217
AP5 2,000
5,000 -,153
-,653 ,121
,259 AP6
2,000 5,000
-,552 -2,352
1,387 2,956
SK1 3,000
5,000 ,327
1,394 2,364
5,038 SK2
3,000 5,000
,178 ,760
1,703 3,629
SK3 3,000
5,000 ,662
2,821 1,287
2,743 SK4
3,000 5,000
,123 ,523
1,522 3,244
SK5 2,000
5,000 -,326
-1,387 1,527
3,254 SK6
3,000 5,000
,014 ,059
,405 ,864
SK7 3,000
5,000 ,098
,419 1,019
2,171 SK8
3,000 5,000
,000 ,000
,893 1,903
SK9 3,000
5,000 ,341
1,452 1,610
3,432 SK10
3,000 5,000
,101 ,429
,733 1,561
SK11 3,000
5,000 ,520
2,218 1,222
2,605 SK12
3,000 5,000
,390 1,661
,962 2,051
SK13 3,000
5,000 ,182
,777 ,822
1,753 SK14
3,000 5,000
,129 ,550
,106 ,225
SK15 3,000
5,000 ,006
,028 -,060
-,129 SK16
3,000 5,000
,000 ,000
-,523 -1,114
SK17 2,000
5,000 -,267
-1,139 ,707
1,506 SK18
3,000 5,000
,189 ,805
,971 2,069
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