Gerado:

 You will find studies that run the gamut with a .05

hola Gerardo

tal vez ya leíste estos:

Anderson, D. R., Burnham, K. P., & Thompson, W. L. (2000). Null hypothesis testing: problems, prevalence, and an alternative. The journal of wildlife management, 912-923.

Johnson, D. H. (1999). The insignificance of statistical significance testing. The journal of wildlife management, 763-772.

Burnham, K. P., & Anderson, D. R. (2001). Kullback-Leibler information as a basis for strong inference in ecological studies. Wildlife research, 28(2), 111-119.

Gerrodette, T. (2011). Inference without significance: measuring support for hypotheses rather than rejecting them. Marine Ecology, 32(3), 404-418.

saludos

My Dear you can dependen on p-value to determine sig. of test. and compare with 0.05 or 0.1 acordding to natural of study (Medical or Economic,... ) and the above refrences are good to  use it

with best regards

 Gracias Salvador si ya lei esas referencia  pero querría sobre todo tener mas casos donde esto aplique y como lol tratan en la parte de metodologia

Hola Gerardo,

A good example of how to avoid misleading interpretations of statistical significance testing is when you apply a statistical power analysis (either a priori or a posthoc power analysis [1-betta]) to your data. The power analysis will tell you without a doubt if your data is powerful enough to make any statistical inference.

A good paper about the use of power analysis is; Taylor, B. and Gerrodette, T: 1993. The uses of statistical power analysis in Conservation Biology: The vaquita and northern spotted owl. Conservation Biology. 7(3): 489-500 (attached).

Cheers/Saludos,

Manuel