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Data analysis-with-spss-reliability-anil barik
1.
Analyzing Data Using
SPSS (Reliability)
2.
Obtaining Reliability of
Scale Obtaining Cronbach’s Alpha: Analyze → Scale →Reliability Analysis
3.
4.
5.
Reliability Model → Alpha
6.
7.
Reliability • Drag items
on the left to the right dialog box – In this case: items p1 to p21
8.
9.
Reliability • Press “statistics” •
Choose “scale if item deleted” • Then Press “continue” • Then “OK”
10.
11.
Reliability • The SPSS
Output
12.
13.
Case Processing Summary 672
100.0 0 .0 672 100.0 Valid Excludeda Total Cases N % Listwise deletion based on all variables in the procedure. a. 672 cases (observations/respondents) were used in the calculation of Cronbach’s alpha
14.
Reliability Statistics .915 21 Cronbach's Alpha
N of Items The obtained alpha score is 0.915, which indicates that the scale has high internal consistency (reliability)
15.
Item-Total Statistics 79.32 128.717
.526 .911 79.55 127.604 .541 .911 79.80 127.911 .489 .912 79.70 126.154 .561 .911 79.82 124.242 .653 .908 79.88 124.296 .621 .909 79.32 127.197 .592 .910 79.48 127.201 .588 .910 79.37 128.648 .509 .912 79.48 126.077 .615 .909 79.42 125.346 .610 .909 79.25 124.597 .647 .909 79.47 124.878 .589 .910 79.95 125.219 .491 .913 79.63 126.532 .593 .910 79.51 128.632 .491 .912 79.81 129.365 .422 .914 79.66 126.834 .564 .910 79.37 125.426 .629 .909 79.27 127.141 .617 .910 79.42 131.546 .345 .915 p1 p2 p3 p4 p5 p6 p7 p8 p9 p10 p11 p12 p13 p14 p15 p16 p17 p18 p19 p20 p21 Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Under the “Cronbach’s Alpha if Item deleted” the reliability of 0.915 is the highest, so it is not necessary to delete any of the items to improve the reliability score of this scale
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