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The Scientific Method02:40

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Null and Alternative Hypotheses01:16

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The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
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Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
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Test many theories in many ways.

Wilson Cyrus-Lai1, Warren Tierney2, Eric Luis Uhlmann1

  • 1Organisational Behaviour Area, INSEAD, Singapore, Singapore wilson-cyrus.lai@insead.edu eric.luis.uhlmann@gmail.com.

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Crowd initiatives show how analytic choices significantly impact scientific findings, challenging traditional methods. Cross-cultural effects were less varied than anticipated, supporting "medium" science approaches.

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Area of Science:

  • Psychology
  • Social Sciences
  • Scientific Methodology

Background:

  • Traditional scientific approaches often examine variables one at a time.
  • This incremental method may not fully capture the complexity of scientific results.

Purpose of the Study:

  • To demonstrate the limitations of the one-at-a-time research approach.
  • To highlight the influence of analytic and design choices in scientific outcomes.
  • To assess cross-cultural variability in observed effects.

Main Methods:

  • Utilizing crowd initiatives to analyze scientific results.
  • Implementing diverse stimulus sets.
  • Conducting extensive robustness checks.

Main Results:

  • Crowd initiatives revealed that analytic and design choices significantly shape scientific results.
  • Observed cross-cultural variability in effects was substantially lower than initially hypothesized.
  • The study validates the efficacy of "medium" science.

Conclusions:

  • The one-at-a-time approach has inherent limitations in scientific research.
  • "Medium" science, characterized by diverse stimuli and robustness checks, offers a valuable framework for integrative theory testing.