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Limitations section

As explained in Effective Data Analysis

A report or presentation section that states unavailable data, interpretive boundaries, and conclusions that the findings cannot support.

A limitations section states which data were unavailable, how far findings can be interpreted, and which conclusions the evidence cannot support. section 2.2.1

Use it to make analytical boundaries visible to stakeholders:

  • List unavailable data that prevents in-depth analysis. section 2.2.1
  • State the scope of interpretation and avoid unsupported interpretations. section 2.2.1
  • Add further-research recommendations that create a roadmap for future evaluation and investment. section 2.2.1
  • Give stakeholders guidance on correlation, causation, statistical significance, and generalizing findings. section 2.2.1

Stakeholder presentation addendum

A team adds a slide to an existing report and presentation to clarify the project’s scope and the boundaries of its findings. section 2.2.1

A slide such as this delineates the scope of interpretation and helps ensure the long-term success of your work.
sidebar figure

Use the slide figure to communicate the scope of interpretation and reinforce responsible stakeholder use. section 2.2.1

How Effective Data Analysis covers it

How deep it goes
Specifies reporting contents and follow-up actions but does not provide a detailed statistical procedure.
Examples
Uses bullet-point limitations, further-research recommendations, and a presentation addendum slide.
What you can do after
Apply it by documenting unavailable data, interpretive scope, unsupported conclusions, and recommended next evaluations.
How it connects
Connects interpretation boundaries with correlation, causation, statistical significance, and generalization.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Data Analysis. The section links point to the parts of the book it draws on.