Canonical Correlation using R
Ringkasan
TLDRThe Stat Tree module introduces Canonical Correlation Analysis, a statistical method to explore relationships between two sets of continuous variables. At least four continuous variables are required for conducting this test. Using the PEVS dataset, the module guides users on selecting relevant variables and running the analysis in RStudio. It details how to interpret the output, emphasizing the significance figure's importance in research reporting. The tutorial also highlights how to document findings properly, including additional statistics that should be reported if criteria are met, and instructions for reviewing output samples.
Takeaways
- 📊 Understand Canonical Correlation to analyze relationships between variable sets.
- 📋 At least four continuous variables are necessary for proper testing.
- 📚 Use PEVS dataset: educational vs entertainment responses.
- 📝 Learn to run Canonical Correlation in RStudio with provided code.
- ⚙️ First check for significance figures in test results.
- ✔️ Report findings if significance criteria are met.
- 📉 If not significant, report the lack of difference.
- 🔍 View output examples for better understanding.
- 🎯 Include Wilks’ Lambda and coefficients in reports.
Garis waktu
- 00:00:00 - 00:02:41
The Canonical Correlation module explains the process for testing relationships between two sets of continuous variables, requiring at least four variables to perform the test. Using the Preferred Entertainment Viewing Survey as the dataset, the demonstration employs educational responses as one variable set and entertainment responses as another. In RStudio, users must specify variables from the PEVS dataset and run the Canonical Correlation test by entering provided code into a Script box and executing it. The significance figure from the output is crucial; if it meets set criteria, results must be documented in research papers, including F score figures, Wilks' Lambda value, squared canonical correlations, and standardized coefficients. If significance criteria are not met, results are not reported, but a statement about the lack of significant differences must be included.
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Video Tanya Jawab
What is Canonical Correlation used for?
It tests the relationship between two sets of continuous variables.
How many continuous variables are required to run the Canonical Correlation?
You need at least four continuous variables.
What dataset is used in this demonstration?
The Preferred Entertainment Viewing Survey (PEVS) dataset.
Which variables are selected for analysis in the demo?
'History' and 'Learn' for educational responses, 'Entertain' and 'Rewind' for entertainment responses.
What should be included in the report if the significance figure is met?
Report significance figures, F score figures, Wilks’ Lambda, squared canonical correlations, and standardized coefficients.
What if the significance figure does not meet the criterion?
State that no significant difference or relationship was found.
How can I see the output for Canonical Correlation?
Press the [OUTPUT] button in the Stat Tree module.
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- Canonical Correlation
- RStudio
- Statistical Analysis
- Continuous Variables
- Preferred Entertainment Viewing Survey
- Significance Figure
- Wilks’ Lambda
- Research Reporting
- Output Interpretation
- Educational Responses