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GeezerVison is showing github.com — GITBOOK-15: Reliability Analysis · visualpython/visualpython@80f9bdb

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      • 5.-correlation-analysis.md
      • 6.-reliability-analysis.md
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# 5. Correlation Analysis
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<figure><img src="../.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><img src="../.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><img src="../.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><img src="../.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><img src="../.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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