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Case Study

Based on the definition of a pp value and a significance level of 0.050.05 set in advance, explain in your own words what it means if, assuming the null hypothesis and the test's assumptions were true, a result at least as extreme as the researchers' would occur less than 1 time in 20, and what this does not establish.

Case context: A group of researchers conducts an experiment comparing a new memory recall technique with a standard one. Before analyzing their data, they set a significance level of 0.050.05; after the analysis, they report a pp value for the difference between the two conditions. They must now explain to a non-scientific audience what the reported pp value means, how it compares with their stated threshold, and what neither the pp value nor the threshold can establish on its own.

Question: Based on the definition of a pp value and a significance level of 0.050.05 set in advance, explain in your own words what it means if, assuming the null hypothesis and the test's assumptions were true, a result at least as extreme as the researchers' would occur less than 1 time in 20, and what this does not establish.

Sample answer: It means the pp value is less than 0.050.05: if the new technique made no difference (the null hypothesis) and the test's assumptions held, a difference at least as large as the one observed would occur less than 1 time in 20. Because this is below the stated significance level of 0.050.05, the researchers would call the result statistically significant. This does not mean there is less than a 1 in 20 chance that the result was due to chance, or that the null hypothesis is probably false. On its own, it also does not establish that the technique works, how large its effect is, or whether the effect matters in practice; that depends on the effect size, the study's design and other evidence.

Key points:

  • Less than 1 in 20 under the null hypothesis and the test's assumptions corresponds to p<0.05p < 0.05.
  • Compared with the stated significance level of 0.050.05, the result is called statistically significant.
  • The pp value is not the probability that the result is due to chance or that the null hypothesis is true.
  • Neither the pp value nor the threshold alone establishes that the technique works, how large its effect is, or whether it matters.

Rubric: Award full points if the student (1) connects "less than 1 in 20, assuming the null hypothesis and the test's assumptions" to p<0.05p < 0.05; (2) states that the result is statistically significant at the stated 0.050.05 level; (3) does not describe the pp value as the probability that the result is due to chance or that the null hypothesis is true; and (4) notes that significance alone does not establish that the technique works, how large its effect is, or whether it matters.

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Updated 2026-10-18

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Research Methods in Psychology - 4th American Edition @ KPU

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