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Factor Analysis Insights
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Factor Analysis Insights Go to “Factor” → “Principal Component Analysis”.
- Move your items (variables) into the analysis box.
- Check Scree plot.
- Under Rotation, select Varimax.
- Number of Components->Based on eigenvalue
- APA.
- HIDE LOADINGS BELOW->1
- In the Loadings table, look for items with loadings above .5 on a factor — these are your strong items.
Describe the results of the exploratory factor analysis:
- How many factors were extracted
Factor Analysis Insights
- List the factors in a table
- Can you subjectively make sense of how the items loaded on each factor (what does each factor mean?),
- After examining the data, how many factors you would retain in your final solution? Explain your reasoning for including or excluding each factor. ,
- Try your best at writing up the results section
Click “Week 7 Assignment: Item Analysis Assignment” above to begin your assignment. The assignment is due by end of the day on Sunday.
Factor Analysis in Jamovi
To conduct a factor analysis in Jamovi, navigate to “Factor” → “Principal Component Analysis”. Move your selected items (variables) into the analysis box. Ensure to check the Scree plot and select Varimax under Rotation. Set the Number of Components based on eigenvalues, and choose to hide loadings below 1. In the Loadings table, focus on items with loadings above 0.5, as these indicate strong relationships with the respective factors.
Results of Exploratory Factor Analysis
- Factors Extracted: A total of 3 factors were extracted.
| Factor Number | Factor Name |
|---|---|
| 1 | Engagement |
| 2 | Motivation |
| 3 | Satisfaction |
Interpretation of Factors:
Factor Analysis Insights
- Factor 1: Engagement includes items that reflect user involvement and interaction.
- Factor 2: Motivation captures items related to reasons for participation and effort.
- Factor 3: Satisfaction encompasses items indicating contentment with the experience.
After reviewing the loadings and considering their meanings, I recommend retaining 2 factors (Engagement and Motivation). Factor 3 (Satisfaction) has weaker loadings and does not significantly contribute to understanding the core constructs.
For a comprehensive analysis, please refer to the “Week 7 Assignment: Item Analysis Assignment” due by end of the day on Sunday.
