(update 2024-11-10)
Note: All analyses are done by round, using all
respondents.
Note:
* Varying colors show direction of coefficients (also printed). See
legend.
* Blank color means the correlation coefficient is not significant with
p-value >=0.1.
* Indices are in alphabetical order for comparison purposes across
rounds.
Round 1
Round 2
Round 3
For each index metrics, we present the following:
1. Mean values of individual items by round
2. Correlation matrix
3. PCA results
* Percent variation explained by component/dimension
* Bi-plot of individual items with respect to the first and second
components
Analysis by round allows us to think if there are seasonal/temporal differences in how the individual items are correlated. Of note, even if each round data are similar, interpretation is limited to the study setting. But, still a good contribution….
variable_name | construction | item_type | number_of_items | possible_minimum_score | possible_maximum_score |
---|---|---|---|---|---|
indris | simple average of items | 5 categories (1-5) | 6 | 1 | 5 |
Round 1
variable_name | construction | item_type | number_of_items | possible_minimum_score | possible_maximum_score |
---|---|---|---|---|---|
hhris | simple average of items | 5 categories (1-5) | 9 | 1 | 5 |
Round 2
Round 3