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Null and Equivalence Hypothesis Testing – Dr. Jeffrey Stanton

Research Methods Education Program (RMEP) Basics of Research Methods Collection Null and Equivalence Hypothesis Testing – Dr. Jeffrey Stanton

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Question 1 of 12

1. Question
Why would we want to confirm the null hypothesis?
- Theories will be more valuable if they tell us when something won't happen
- Evaluating interventions
- It is easier to confirm a null than to reject it
- Both A and B
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Question 2 of 12

2. Question
What is “Equivalence Testing”?
- Rejecting the null hypothesis
- Confirming the null hypothes
- A two-way ANOVA
- A t-test
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Question 3 of 12

3. Question
What is the historical root of inference by intervals method?
- Bioequivalence in clinical research
- Anthropology
- Sociology
- Psychology
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Question 4 of 12

4. Question
What is the first step in the equivalence test using the inference by intervals method?
- Evaluating whether the CI falls completely inside equivalence bound
- Examining the data and formulate a CI around the statistic of interest
- Establishing an “equivalency band” representing the boundaries of a trivial effect
- None of the above
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Question 5 of 12

5. Question
What does confirming the null hypothesis mean?
- Finding a non-trivial effect
- Narrowing the confidence interval
- Finding a no non-trivial effect
- Finding a small significance effect
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Question 6 of 12

6. Question
What is a tost lower test?
- A one-tailed NHST on the alternative hypothesis that the mean difference in the population is low enough
- A two-tailed NHST on the alternative hypothesis that the mean difference in the population is low enough
- A two-tailed NHST on the alternative hypothesis that the mean difference in the population is high enough
- A one-tailed NHST on the alternative hypothesis that the mean difference in the population is high enough
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Question 7 of 12

7. Question
How does a bayes factor method in an equivalence test work?
- An odds-ratio usually configured to compare an alternative hypothesis to a null hypothesis
- Creating two interval hypotheses and comparing them
- Creating two null hypotheses and comparing them
- Creating a distribution of posterior estimates of parameters of interest
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Question 8 of 12

8. Question
What are the inferences based on in a bayesian estimation?
- The extent of the distribution of posterior estimates of parameters of interest
- The shape the distribution of posterior estimates of parameters of interest
- The position of the distribution of posterior estimates of parameters of interest
- The position, shape, and extent of the distribution of posterior estimates of parameters of interest
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Question 9 of 12

9. Question
Which one would need a larger sample size: rejecting the null or confirming the null?
- Confirming the null
- Rejecting the null
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Question 10 of 12

10. Question
All else equal, larger sample means … CI.
- Wider
- Zero
- Narrower
- It depends
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Question 11 of 12

11. Question
Which one performs better in detecting a no non-trivial effect?
- Frequentist methods
- Bayesian methods
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Question 12 of 12

12. Question
Confirming the null requires higher … than rejecting the null.
- Statistical power
- Significance criterion
- Population effect size
- None of the above
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By CARMA Admin|2024-10-14T11:49:21-04:00November 6th, 2023|Comments Off on Null and Equivalence Hypothesis Testing – Dr. Jeffrey Stanton

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