Recent content by Miner

  1. Miner

    Graphs or formal tests

    Graphs are great, but you have to be careful. The human mind is geared to identify patterns, and can often see a pattern when none exists (i.e., pure randomness). However, I would never test for correlation without having plotted the data to see whether there was a useful relationship.
  2. Miner

    Simple question. Type of data?

    Yes.
  3. Miner

    Simple question. Type of data?

    Kappa is treating ordinal data as if it were nominal data. This results in the loss of information. Weighted kappa takes the ordinal nature of the data into consideration, but results could be influenced by the weighting used Kendall's is often used with ordinal data ICC is used for continuous...
  4. Miner

    Simple question. Type of data?

    No. Given your definition, I would agree that it is ordinal. From your phrasing, does someone disagree with you? What is their reasoning?
  5. Miner

    Incomplete block design

    If the depths are consistent, you can block on them. If variable treat them as a covariate.
  6. Miner

    Incomplete block design

    This appears to be an unbalanced split-plot design where transect is the whole plot and sites are the subplots. There are several good videos from SAS JMP that explain the concept. Don't get turned off by the manufacturing examples. Split plot designs originated in agriculture.
  7. Miner

    Minimum population size for statistical tests?

    Are you certain that you have the entire population? Do you ever intend to generalize your findings for another group? One could collect data for 100% of the people in a specific classroom and say they have the entire population. This is true for that classroom. However, if they ever want to...
  8. Miner

    quality control charts

    You will have better success getting an answer at the Elsmar Cove Quality Forum. There are a lot of SPC (Statistical Process Control) experts there. While I have used many control charts over the years, I do not have experience with the exponentially weighted moving average control chart. It...
  9. Miner

    Understanding multiple regression analysis results

    Are you asking us to interpret the implications of these results or explain the statistical aspects behind the numbers? On the surface, it passes the common sense test. Having an undue fascination and comparing oneself to other people's pictures on Instagram could negatively impact self esteem...
  10. Miner

    Moving away from p-values

    I emphasize planning the design in advance and thinking strongly about sample sizes required because they are expensive to obtain. You are interfering with production uptime and are probably generating some scrap or rework to boot. I am just saying that some disciplines could learn from the...
  11. Miner

    What does this symbol means?

    I believe that it is "partial eta squared." Note the p subscript. Though it should look like this:
  12. Miner

    Moving away from p-values

    This is an application problem. They should decide in advance what effect size is important, then calculate the necessary sample size (see table below). The key is to keep the effect size and sample size in balance so that a significant p-value means a effect size of practical value. The only...
  13. Miner

    Moving away from p-values

    I find this "controversy" interesting. My background is in industrial statistics, and there is no replication crisis or p-value bashing in this field. This leads me to believe that there are certain, fundamental differences in how frequentist methods are applied in other disciplines and that...
  14. Miner

    Exploring non linear relationship between two variables

    What is your rationale for breaking this into quartiles? Given your plot, I would try both Pearson and Spearman across the entire range to see which is stronger. It is difficult to tell because this is very noisy data (see Andrew Gelman's kangaroo).
  15. Miner

    Exploring non linear relationship between two variables

    What type of correlation? Pearson only works for linear relationships, and you already stated that it was not linear. Spearman's will work for monotonic relationships. Have you plotted the data to see whether it is monotonic? Can you attach such a plot?