Amit - personally I don't think that is the case. At the end of the day the statistics have to fit the aim and remit of the study methodology and design. Good quality and robust research should 'shine through' and be feedback as such by reviewers - regardless of the complexity of the presented stats. Add to that, the fact that the stats are usually tabulated and they can only be presented at a certain level. Just wondering why you suggest that multivariate analysis as an example of complexity?

What may be happening, in certain disciplines, is that 'pragmatic' designs are becoming more popular i.e. multi-methods and mixed methods designs. Through triangulation of data, they can give the impression of added complexity.

Thank your sir for the reply

My concern is, not many articles are getting accepted with simple statistics even with good methodology and design and i meant the multivariate analysis is become the basic statistical methodology and as you rightly said many mixed models and statistical methods are evolving.

With use of advanced statistics are losing the way of easy communication of the scientific facts

OR

are all our end users of the scientific content, updated with these statistical methods, so that they can comprehend things in a better way.

* Its just my insight on the topic sir

I highly appreciate you time to answer me

Thank you