In a recent conference I have seen a poster that expressing some variables only with p values. Like satisfaction score- p= 000, quality of improvement -p=0.843 like that. Is it ok?
A p-value in isolation is not informative. If the authors explained in what statistical context (model and restriction) and based on what assumptions the p-values was calculated, and if the assumptions make sense, then the p-value at least conveys the information if a sufficiently confident interpretation of the direction (sign) of an effect (as defined within the model) is possible, given the data. Another aspect, completely untouched by the p-value, is if the data provides any evidence if the effect may be of any relevance. This can only be judged from the actually estimated size of the effect. A confidence interval gives a good impression (ideally one would prefer a highest posterior density [HPD-] interval, though). Then, if we know the model and the confidence (or HPD-) interval and if we have some expert knowledge, we may be able to judge if the data should make us believe in a relevant effect. This would be, to my opinion, the minimum required information to make the report useful.
It is not recommended to give results only with p values, given that the value of p only evaluates the probability that the results are by chance, allowing to see if you rejected or not your hypothesis. However, it does not give information on what the true value of the estimator is.
On the other hand, using the confidence intervals allows locating the estimator within a range, allows knowing if the hypothesis is rejected or not and when evaluating the amplitude of the same interval you can even see how accurate the results were.
The researchers need to understand one thing scientific audiences are not attending sessions to sell or buy p-value. In any way, it is not recommended to express results with the p-value only. p-value demonstrates only the probability. If anyone does not reveal the actual findings and facts, in that case showing the p-value only can be deceptive or misguiding. This sort of presentation is an attempt to hide the facts or avoid some unanswerable questions for that presentation. To me, it is preferable to present data with CI rather than the p-value.
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