Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations

Authors

Keywords

Null hypothesis significance test, Fisher’s significance test, Neyman–Pearson’s hypothesis test, Statistical inference, Scientometrics, 97K70, C120

Journal

Volume 102, Issue 1, Pages 411-432

Publisher

Springer Nature

Online

2014-02-24

DOI

10.1007/s11192-014-1251-5

References

View 8 related references

Contact the author

Explore over 38,000 international journals covering a vast array of academic fields.

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now