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Testing Plan Alpha Test: Alpha Test: A Simple Guide For Researchers by Bujang (2018), Et Al. Explains

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Testing Plan

Alpha Test

To determine the reliability of one’s study, the most common

instrument used is the survey questionnaire for gathering data. To test the

internal consistency of test items, the proponents conduct a survey with thirty

(30) random employee from different offices.

One of the most popular method measuring the internal consistency or

reliability of survey questionnaires or test items is Cronbach’s Alpha Reliability

Test . On a study of A Review on Sample Size Determination for Cronbach’s

Alpha Test: A Simple Guide for Researchers by Bujang (2018), et al. explains

that the value of Cronbach’s alpha ranges from zero to one with the higher

values implying the items are measuring the same dimension. In contrary, if

the Cronbach’s alpha value is low (near to 0), it means some or all of the

items are not measuring the same dimension. This means that test items are

not reliably consistent from one another. To determine that the instrument is

reliably consistent, it must be 0.7 considering it is the minimum range of

Cronbach’s Alpha but some discussions state that 0.6 is considered

acceptably reliable (Graupera, 2017). Moreover, instances that low number of

items will always result to low rating. To have a more valid result, is much

more reliable to calculate the correlation between items in this situation.

Reliability N %
Valid 9 100.00
Cases Excluded 0 0.00
Total 9 100.00
Reliability Statistics
Cronbach’s Alpha N of Items
0.78 30

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Table 5: Cronbach’s Alpha of items user “Effectiveness” category

The Cronbach’s Alpha concerning on the “Effectiveness” of the system is

0.78. This means that the effectiveness of the test items is in the average

point.

Reliability N %
Valid 5 100.00
Cases Excluded 0 0.00
Total 5 100.00
Reliability Statistics
Cronbach’s Alpha N of Items
0.69 30

Table 6: Cronbach’s Alpha of items user “Efficiency” category

In the efficiency category shows that the Cronbach’s Alpha result is

0.69. This only means that the ability of the system to do its job is inefficient. It

stands as acceptable reliable considering that 0.6 is considered acceptable

(Graupera, 2017).

Reliability N %
Valid 8 100.00
Cases Excluded 0 0.00
Total 8 100.00
Reliability Statistics
Cronbach’s Alpha N of Items
0.88 30

Table 7: Cronbach’s Alpha of items user “Usability” category

In table 7, the Cronbach’s Alpha results is 0.88 for the “Usability”

category. This only means that the system is fit for its use and the questions

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given are more than enough to be considered as reliable and consistent with

other test items.

Reliability N %
Valid 3 100.00
Cases Excluded 0 0.00
Total 3 100.00
Reliability Statistics
Cronbach’s Alpha N of Items
0.73 30

Table 8: Cronbach’s Alpha of items user “Satisfaction” category

The result for the Satisfaction category of Cronbach’s Alpha is 0.73.

The satisfaction of the user where a bit low yet it is consider as reliable and

consistent with other test items.

Reliability N %
Valid 4 100.00
Cases Excluded 0 0.00
Total 4 100.00
Reliability Statistics
Cronbach’s Alpha N of Items
0.85 30

Table 9: Cronbach’s Alpha of items user “Freedom from risk” category

As shown in Table 11, the Cronbach’s Alpha result is 0.85 which

means that the system is free from any risk. The system provides notifications

that warns the user for any risk.

Reliability N %
Valid 4 100.00
Cases Excluded 0 0.00
Total 4 100.00
Reliability Statistics

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Cronbach’s Alpha N of Items
0.82 30

Table 9: Cronbach’s Alpha of items user “Context Coverage” category

The Cronbach’s Alpha result is 0.82 for the category of “Context

Coverage”. The questions given are more than enough to be considered as

reliable and consistent with other test items.

(Cronbach’s Alpha Value of Effectiveness (0.78) + Cronbach’s Alpha

Value of Efficiency (0.69) + Cronbach’s Alpha Value of Usability (0.88) +

Cronbach’s Alpha Value of Satisfaction (0.73) + Cronbach’s Alpha Value of

Freedom of Risk (0.85) + Cronbach’s Alpha Value of Context Coverage

(0.82)) /6 = 0.79.

The survey questionnaire or test items has a result of 0.79 in overall

internal consistency, this concludes that the alpha test is reliable and

consistent.

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