From the PARcore Data Visualization Studio Landing Page, navigate to this report by selecting the Summary of Data and Iterations report icon.   This report is only applicable for requests that include the Analysis Type of Item Response Theory and include the option to include calibration analyses.

The bento box menu icon at the top left of the report can be used to navigate back to the Landing Page.
 



Information about the request that is being viewed are displayed at the top, including the request number, admin, test, form ID or package ID, and user form code. 


When first launching the report it will be empty.  Make initial filter selections in order to visualize the report.  Any filter with a red asterisk indicates it is required to have a selection made before the report can be displayed.


Choose Filters





Refer to Visualize Results for general information about filter navigation for any report.  The filter for this report is:
     

• Analysis - select one analysis sequence number to view at a time.  The analysis sequence number will reflect the sequencing from Request Details for this request.  The analysis template name used for this request will also be included in the filter description.
  • Upon first initializing this dashboard, the filter will display as (Choose your analysis) and a selection must be made. 
    • Select the search icon (magnifying glass) and enter search text to see Analysis filter options for the request you are viewing. 
    • Using an asterisk in the search text box will display all possible analyses to choose from.  
  • Once the current analysis results have been reviewed, continue to use the search feature or utilize the slider arrows (< and >) to view each analysis one at a time.  If there is only one analysis for this report the navigation buttons will be disabled.

• Summary statistics are displayed for your selected analysis:  Number of Observations, Number of Items, Number of Predictors, Total Number of Items Presented, Total Observations Presented, and Average Number of Items Presented.

• For each iteration, the step and log likelihood values are displayed.

• Various model prediction statistics are displayed:  Log Likelihood, Model Dimension, Penalty, Standard Error Penalty, Akaike, and Gilula-Haberman

• Various reliability statistics are displayed for each factor:  Averages of Conditional Means, Covariance Matrix of Conditional Means, Conditional Covariance Matrix, Unconditional Covariance Matrix, and Reliabilities of Conditional Means.