Introduction to the Theory of Science

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Across
  1. 4. Consistency of research findings across repeated business studies.
  2. 5. Nature of reality and existence, e.g., whether business phenomena are objective.
  3. 9. Measurable trait or factor that varies in research experiments.
  4. 12. Research using numerical data and statistical analysis for objectivity.
  5. 13. Extent to which research measures what it claims in business applications.
  6. 14. Building theory from patterns in data, used in qualitative approaches.
  7. 16. Testable prediction guiding quantitative business studies.
  8. 17. Paradigm assuming objective reality discoverable via empirical science.
  9. 19. Overall approach to research design and justification of methods.
Down
  1. 1. Selecting subset of population for study in business research projects.
  2. 2. Research exploring meanings, experiences via interviews in business.
  3. 3. Paradigm emphasizing subjective meanings in business contexts.
  4. 4. Repeating study to verify results in business research contexts.
  5. 6. Analysis of relationship between two variables in business datasets.
  6. 7. A set of assumptions and beliefs shaping scientific inquiry in business research.
  7. 8. Testing theory through observation, common in quantitative designs.
  8. 10. Study of knowledge, its nature, sources, and limits in research.
  9. 11. Impartiality in research, free from researcher bias in data handling.
  10. 15. Moral principles guiding responsible business research conduct.
  11. 18. Systematic pursuit of knowledge through observation, theory, and testing.