Differing P Values

MedianPuppy4982 — Mon, 25 Mar 2024 15:47:44 GMT

Hello!

I used the software for a fractional factorial screening design. I had three different factors to evaluate all of which were categorical. My data was collected/recorded using Pass or Fail for the one Response. I am trying to find the proper way to analyze this data. I am trying to get data that shows which factor had the most effect on the Pass or Fail Rate of the Response

I saw a tutorial online that said to just right click model and hit run script. I then changed the personality to to Response Screening After running the script I got a table which is Photo A below. I think for my purposes the Effect Size column is probably the most important. But I am confused because I followed another method one of my team members uses which is going to Analyze and Fit Model and I have included a screenshot below of what the Set Up looks like [Photo B] and the results are in photo C but there is a significant difference between the P Values recorded and I am unsure of why there is a significant different and which would be considered correct.

Photo A

photo B

Photo C

Thanks in advance!

Re: Differing P Values

txnelson — Mon, 25 Mar 2024 16:53:29 GMT

The Response Screening runs 3 independent analyses, where the Fit Model takes all 3 factors into account when analyzing the data.

topic Re: Differing P Values in Discussions

Differing P Values

Re: Differing P Values