Hi!
Jamovi is a great piece of software. I just started to use it and I have one simple (I think) question.
Performing for example paired samples t-test we can select "Hypothesis" (see attached image) and here's my problem.
What kind of hypothesis it is? Null or alternative? I think it is the alternative hypothesis but wanted to ask to be sure.
Hypothesis testing - Jamovi's naming convention
Hypothesis testing - Jamovi's naming convention
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Re: Hypothesis testing - Jamovi's naming convention
hi yes, it's the alternative hypothesis.
kind regards
jonathon
kind regards
jonathon
Re: Hypothesis testing - Jamovi's naming convention
OK, thanks for the confirmation. This may look like a small thing but it is important.
Thank you.
Thank you.
Re: Hypothesis testing - Jamovi's naming convention
However, in fact, the t test is necessarily a test of the null hypothesis (the alternative hypothesis plays no role unless one is computing a Bayes factor). Correct?
Re: Hypothesis testing - Jamovi's naming convention
Well, as far as I understand the concept of hypothesis testing if you test for null hypothesis you test also for alternative one. Hope you understand what I'm trying to say.
Re: Hypothesis testing - Jamovi's naming convention
A classical t test is a null-hypothesis test. For a given sample size, the p value is the probability that you would obtain an effect-size at least as large as the one you obtained, if the null hypothesis were true.
If you try to take the result and draw an inference relating to the alternative hypothesis, you're on very thin ice, conceptually. That's why people are turning to Bayesian analysis instead.
If you try to take the result and draw an inference relating to the alternative hypothesis, you're on very thin ice, conceptually. That's why people are turning to Bayesian analysis instead.
Re: Hypothesis testing - Jamovi's naming convention
Perhaps, technically, it should be:
Measure 1 = Measure 2
Measure 1 not < Measure 2
Measure 1 not > Measure 2
Measure 1 = Measure 2
Measure 1 not < Measure 2
Measure 1 not > Measure 2