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Commit80f9bdb

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GITBOOK-15: Reliability Analysis
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#5. Correlation Analysis
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<figure><imgsrc="../.gitbook/assets/image (122).png"alt=""width="229"><figcaption></figcaption></figure>
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1. Click on_**Correlation Analysis**_ in the_**Statistics**_ category.
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<figure><imgsrc="../.gitbook/assets/image (123).png"alt=""width="563"><figcaption></figcaption></figure>
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2._**Data**_: Select the data for correlation analysis. You can use[_**Subset**_](../data-analysis/5.-subset.md) to choose only the data that satisfies specific conditions.
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3._**Variable:**_ Choose the variables from the selected data for which you want to analyze the correlation.
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4._**Correlation**_: Select the method for correlation analysis.
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5._**Display**_: Visualize the results of the correlation analysis.
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6._**Code View**_: Preview the code that will be generated.
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7._**Data View**_: Preview the data that will be output.
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8._**Run**_: Execute the code.
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#6. Reliability Analysis
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<figure><imgsrc="../.gitbook/assets/image (124).png"alt=""width="229"><figcaption></figcaption></figure>
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1. Click on_**Reliability Analysis**_ in the_**Statistics**_ category.
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<figure><imgsrc="../.gitbook/assets/image (125).png"alt=""width="563"><figcaption></figcaption></figure>
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2._**Data**_: Select the data for Reliability Analysis. You can specify only the data that meets specific conditions from the chosen DataFrame through[_**Subset**_](../data-analysis/5.-subset.md).
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3._**Variable**_: Choose the columns for Reliability Analysis from the data selected above.
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4._**Code View**_: Preview the code that will be generated.
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5._**Data View**_: Preview the data that will be output.
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6._**Run**_: Execute the code.
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###Output Example
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<figure><imgsrc="../.gitbook/assets/image (126).png"alt=""width="563"><figcaption></figcaption></figure>
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*_**Cronbach Alpha**_ used in Reliability Analysis is a statistical method measuring_**Consistency**_, and this consistency is an indicator of Reliability.
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* The Cronbach Alpha value is output between 0 and 1, where closer to 1 indicates higher consistency. The_**N**_ value represents the number of columns selected.
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*_**The Item-Total Statistics t**_able displays the mean, variance, and Cronbach Alpha values for each column's presence or absence. Additionally,_**Corrected Item-Total Correlation**_ indicates how consistent each column is with the total.
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