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Most research problem statements contain vague quantitative judgments, hindering validity assessment. Documenting literature searches and quantifying results can improve precision and transparency in scientific research.

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Area of Science:

  • Scientific research methodology
  • Epistemology in empirical studies

Background:

  • Current validity frameworks in primary research primarily focus on inference truth but overlook empirical judgments in problem statements.
  • Problem statements often contrast existing research with new knowledge, involving authorial inferences about frequency and variability.

Purpose of the Study:

  • To evaluate the transparency and validity of empirical inferences within research problem statements.
  • To identify threats to validity posed by current practices in communicating research-problem inferences.
  • To propose a framework for enhancing the precision and transparency of these inferences.

Main Methods:

  • A random sample of primary research articles was coded to analyze quantitative judgments in problem statements.
  • The study assessed the vagueness and transparency of origin for these judgments.
  • Existing validity frameworks were reviewed for their applicability to problem statement inferences.

Main Results:

  • 83% of quantitative judgments in the sampled research articles were found to be vague.
  • These vague judgments often lacked a transparent origin, impeding validity assessment.
  • Current practices present significant threats to the validity of empirical inferences in problem statements.

Conclusions:

  • Improving the precision and transparency of empirical inferences in problem statements is crucial for research validity.
  • Documenting literature searches, coding processes, and quantifying results can enhance judgment clarity.
  • The proposed framework supports more accurate research questions and informed evaluations of research contributions.