Athirah senget suke nangis

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COMPUTE knowledge1=ergonomics + MSD + monitor + seating. EXECUTE. COMPUTE training1=understanding + undergo + practice + increase. EXECUTE. COMPUTE employer1=information + equiptment + commitment + encourage. EXECUTE. COMPUTE awareness1=aware + workplace + notpractice + reduceMSD. EXECUTE. RELIABILITY /VARIABLES=knowledge1 training1 employer1 awareness1 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL CORR. Reliability [DataSet0] Scale: ALL VARIABLES Case Processing Summary N % Cases Valid 100 100.0 Excluded a 0 .0 Total 100 100.0 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 .708 .700 4

Transcript of Athirah senget suke nangis

Page 1: Athirah senget suke nangis

COMPUTE knowledge1=ergonomics + MSD + monitor + seating. EXECUTE. COMPUTE training1=understanding + undergo + practice + increase. EXECUTE. COMPUTE employer1=information + equiptment + commitment + encourage. EXECUTE. COMPUTE awareness1=aware + workplace + notpractice + reduceMSD. EXECUTE. RELIABILITY /VARIABLES=knowledge1 training1 employer1 awareness1 /SCALE('ALL VARIABLES') ALL /MODEL=ALPHA /SUMMARY=TOTAL CORR.

Reliability

[DataSet0]

Scale: ALL VARIABLES

Case Processing Summary

N %

Cases Valid 100 100.0

Excludeda 0 .0

Total 100 100.0

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

.708 .700 4

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Summary Item Statistics

Mean Minimum Maximum Range

Maximum /

Minimum Variance N of Items

Inter-Item Correlations .368 .183 .656 .473 3.580 .029 4

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

knowledge1 47.2200 47.729 .282 .104 .755

training1 44.8300 34.728 .573 .441 .592

employer1 44.0900 33.355 .628 .505 .553

awareness1 45.1200 39.581 .509 .285 .636