Raw data, sample properties and population properties

In most analyses, the results are divided into three main sections and further subsections:

  1. Raw data.
    1. You’ll find the number of observed and missing cases here. In all analyses, missing cases are removed and analyses are run only on observed cases.
    2. This part displays the individual values graphically without any further information. This is useful to get an impression of your data without any statistical aid, and check if the data have some unexpected properties (e.g., unexpected distribution, outliers, etc.).
  2. Sample properties. Strictly speaking, these are descriptive statistics, and in very rare cases, when you measure the whole population, these results show the population properties as well.
    1. Summary statistics of your data in numerical forms.
    2. You’ll find standardized effect sizes here.
    3. Summary statistics of your data in graphical form.
  3. Population properties. Be aware that these results are always speculations, because no one really knows what population your sample comes from. These are just some reasonable guesses. Strictly speaking, these are inferential statistics, and in very rare cases, when you measure the whole population, these results could be just ignored.
    1. You’ll find the population parameters here (point and interval estimations) in numerical form.
    2. Point and interval estimation of standardized effect sizes.
    3. Population parameters in graphical form.
    4. Hypothesis tests with automatic assumption checks.
    5. In some cases, before a hypothesis test is run, sensitivity power analysis is given.

Find some more (technical) information about these parts in the development documentation.

Rerun the analyses

New in v2.4.

You can rerun all analyses in the current Results pane with the Analysis > Rerun all analyses... menu. This is useful after you reload your active data file.