Common elements of the analysis results

krajcsi edited this page Nov 5, 2018 · 6 revisions

Raw data, sample properties and population properties

In most analyses the results are divided into three sections:

  • Raw data. This part displays the individual values 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.). Also, you'll find the number of valid cases here.

  • Sample properties. Some summary statistics of your data both in numerical and in graphical forms. Occasionally you'll find effect sizes here, too (expect more to come in the next releases).

    • 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.
  • 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. You'll find the population parameters here both numerically and graphically, and the hypothesis tests.

    • Strictly speaking, these are inferential statistics, and in very rare cases, when you measure the whole population, these results could be just ignored.

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

Axes of the charts

Mostly new in v1.6 and in v1.7.

In CogStat in most cases the axes style reflects the measurement level of that variable:

  • For interval variables the axes are solid.
  • For ordinal variables the axes are dashed.
  • For nominal variables the axes are dotted.
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