What is meant by statistical significance and why it is important in psychological research?
Darling.
2010-01-31 16:14:55 UTC
Also, what is the difference between statistical significance and practical significance?
Eight answers:
Alex
2010-01-31 16:23:31 UTC
Statistical significance means that it is very unlikely that a particular finding occurred by chance alone.
It doesn't mean that the particular finding is important, just that it is unlikely that the results of a study are due to chance.
I'm not sure what practical significance is, sorry.
luby
2016-12-30 18:17:03 UTC
Define Statistical Significance
Stefan
2015-08-18 23:06:26 UTC
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RE:
What is meant by statistical significance and why it is important in psychological research?
Also, what is the difference between statistical significance and practical significance?
2016-04-09 07:36:16 UTC
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1: I think that is a great summary, highlighting how the relationship between uncertainty and sample size is integral to our understanding of the data we obtain. 2: I have a good understanding of the basic statistics required up to the level I last studied (post grad enviro science). Much of the discussion by others has been around null hypothesis testing. There is a push to discard this altogether in environmental science, as was done with health sciences decades ago. The reason for this is that as David B outlined, the test statistic only tells you the probability that you would get the data you got if the null hypothesis was true. It doesn't tell you anything about whether your alternative hypothesis. Bayesian methods which were too complex for environmental science until recently (now that computers are much more powerful) can be used instead. In such a cases you do not use a null hypothesis, rather you use measurements of the uncertainty to determine statistical significance. In health sciences they use risk ratios and odds ratios, in enviro science the methods are more complex and I can't actually explain them (I only just barely understand them enough to be able to apply them). But the reason they couldn't be done in enviro science before is that you need vary large sample sizes which can be done in epidemiology but is not possible in other aspects of the field. Now the better processing power allows us to use small amounts of observed data to develop simulations which can be used to improve the statistical power and produce the a priori probabilities we need to run a model. This is the foundation for climate predictions since there are many potential changes to variables which have never been observed and must be modelled based on simulations (eg what happens when large ice sheets melt).
NicoMach
2010-01-31 16:27:59 UTC
Statistical significance refers to the importance of the results of research studies; it can be used to form theories and serves for the improvement of practice. Significance in this context is often confused with importance in the sense that it is relevant data, when really it has more to do with how certain the results are that you can even ignore the null hypothesis (the hypothesis that is falsified by the statistical results).
Practical significance refers to the importance research results will have with the public, teachers, practitioners, educators etc...
eclipse
2010-01-31 17:08:18 UTC
statistical significance means the amount of time some-thing is found statistics 1 out of a 100 so on and so forth.
it is important to see how many times a new drug works and what the percent of people it works on
statistical is based on a study that has produced results and practical is based on actual practice
2016-03-20 07:25:23 UTC
I do not mind people saying that having statistically insignificant warming for 15 years does not disprove climate science theory. But to claim settled science and anyone who disagrees is a big oil stooge or is anti science is crazy. All of this just because "scientists" have written a computer program that says that warming will come back with a vengeance. You are placing scientific weight on theoretical computer climate models and not over real data by claiming "settled science". Anyone who does this are the real denialists ( for denying that you theory is falling apart), and the ones who are anti science.
Naguru
2010-01-31 16:24:42 UTC
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