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Proceedings of the 8th International Conference on Intellectual ...

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Irra Chrisyanti Dewi<br />

Table 2: Validity Test Results Variable Learning Organizati<strong>on</strong><br />

No Indicator rCompute rTable<br />

1 ST 1,000 0,361<br />

2 MM 0,429 0,361<br />

3 PM 0,383 0,361<br />

4 TL 0,383 0,361<br />

5 SV 0,418 0,361<br />

Based <strong>on</strong> Table 2 can be seen that all indicators have Product Moment correlati<strong>on</strong> values above<br />

0.361. This means that all indicators have c<strong>on</strong>struct validity, in <str<strong>on</strong>g>the</str<strong>on</strong>g> language <str<strong>on</strong>g>of</str<strong>on</strong>g> statistics means that<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g>re is internal c<strong>on</strong>sistency (internal c<strong>on</strong>sistency) are all indicators measuring <str<strong>on</strong>g>the</str<strong>on</strong>g> same aspects.<br />

Thus, it can be c<strong>on</strong>cluded that <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire was valid. Then to test <str<strong>on</strong>g>the</str<strong>on</strong>g> validity <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

transformati<strong>on</strong>al variables are as follows:<br />

Table 3: Validity Test Results Transformati<strong>on</strong>al Leadership Style<br />

No Indicator rCompute rTable<br />

1 II 1,000 0,361<br />

2 IS 0,474 0,361<br />

3 IC 0,264 0,361<br />

4 IM 0,294 0,361<br />

Based <strong>on</strong> Table 3 can be seen that all indicators have Product Moment correlati<strong>on</strong> values above<br />

0.361. This means that all indicators have c<strong>on</strong>struct validity, in <str<strong>on</strong>g>the</str<strong>on</strong>g> language <str<strong>on</strong>g>of</str<strong>on</strong>g> statistics means that<br />

<str<strong>on</strong>g>the</str<strong>on</strong>g>re is internal c<strong>on</strong>sistency (internal c<strong>on</strong>sistency) are all indicators measuring <str<strong>on</strong>g>the</str<strong>on</strong>g> same aspects.<br />

Thus, it can be c<strong>on</strong>cluded that <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire was valid.<br />

Test Reliability indicates <str<strong>on</strong>g>the</str<strong>on</strong>g> accuracy, stability, and homogeneity <str<strong>on</strong>g>of</str<strong>on</strong>g> measuring instruments used.<br />

Reliability instrument is a requirement for testing <str<strong>on</strong>g>the</str<strong>on</strong>g> validity <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> instrument. <str<strong>on</strong>g>the</str<strong>on</strong>g>refore a valid<br />

instrument, although generally reliable, but reliability testing <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> instrument needs to be d<strong>on</strong>e.<br />

instrument used to measure <str<strong>on</strong>g>the</str<strong>on</strong>g> reliability <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g> method split (split half). Recapitulati<strong>on</strong> Product<br />

Moment correlati<strong>on</strong> values for <str<strong>on</strong>g>the</str<strong>on</strong>g> variables organizati<strong>on</strong>al learning and transformati<strong>on</strong>al leadership<br />

style can be seen in <str<strong>on</strong>g>the</str<strong>on</strong>g> following table.<br />

Table 4: Reliability Test Results<br />

No Variable rxy Mark<br />

1 OL 0,878 Very Str<strong>on</strong>g<br />

2 TL 0,743 Str<strong>on</strong>g<br />

From Table 4 note that <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire used is reliable. Once <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naires are made valid<br />

and reliable, <str<strong>on</strong>g>the</str<strong>on</strong>g>n <str<strong>on</strong>g>the</str<strong>on</strong>g> questi<strong>on</strong>naire is appropriate for distributi<strong>on</strong> and actual data from questi<strong>on</strong>naires<br />

will be processed to <str<strong>on</strong>g>the</str<strong>on</strong>g> next process is linear regressi<strong>on</strong>.<br />

Simple Linear Regressi<strong>on</strong> Calculati<strong>on</strong> d<strong>on</strong>e when <str<strong>on</strong>g>the</str<strong>on</strong>g> relati<strong>on</strong>ship between two variables or functi<strong>on</strong>al<br />

form <str<strong>on</strong>g>of</str<strong>on</strong>g> causal relati<strong>on</strong>ship. To set <str<strong>on</strong>g>the</str<strong>on</strong>g> two variables have a causal relati<strong>on</strong>ship or not, it must be<br />

based <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g>ories or c<strong>on</strong>cepts <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>the</str<strong>on</strong>g>se two variables. The study was c<strong>on</strong>ducted to determine <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

relati<strong>on</strong>ship between organizati<strong>on</strong>al learning and transformati<strong>on</strong>al leadership style. Based <strong>on</strong> <str<strong>on</strong>g>the</str<strong>on</strong>g><br />

model that has developed <str<strong>on</strong>g>the</str<strong>on</strong>g> test results obtained by simple linear regressi<strong>on</strong> for this study as shown<br />

in <str<strong>on</strong>g>the</str<strong>on</strong>g> table below.<br />

153

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