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Key Findings for Research Team

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Correlations between dimensions and areas:

Statistical analysis has shown that linear trend of correlations between the ten dimensions and four areas exist, which further validate the Scorecard as a useful tool to measure project integration performance.

The variation of scores between new and experienced scorers:


Impact of individual question on overall scores

Effective measurements should generate certain correlations between their responses and overall project scores, whereas ineffective measurements continuously get missing response and less variation. Those measurements do not contribute much to the overall project scores, and have to be refined or eliminated.

This measurement shows the desired correlation (close to linear) and variation in responses:


This measurement showed bad correlation and large data gaps in responses, and has been modified by the research team:

Common Scoring Errors

Data organization, validation and cross checking identified the following common errors. Awareness helps minimize future errors and improve the quality of the Scorecard data: