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Patterns | |
Get more from your data Theme automatically finds patterns in series of behavioral events. The patterns are based on regularities in the timing of events. Other behavior occurring at the same time makes them invisible to statistical methods such as lag sequential analysis or Markov analysis. With Theme you can extract much more information from your data. | |
Unique algorithm Theme is based on an algorithm that tests the distribution of each pair of behavioral elements in time. If there is a significant relationship they are called a T-pattern. The relationships between the T-patterns themselves are then tested in the same way. | |
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The T-patterns are extended with more elements and other T-patterns, so that higher order T-patterns emerge. Related patterns are combined and incomplete patterns are eliminated. This procedure is repeated until the patterns can no longer be extended. The result of the calculation is a group of patterns called a T-set. For further details on how Theme works you can download the methodology note | |
Find unexpected relationships The patterns found by Theme represent recurring series of events like social rituals, feeding behavior, or eye contact. There may be many unexpected relationships between the events in your data. Even in small and apparently simple datasets there can be a wealth of patterns waiting to be explored. | |
Measure structural complexity With Theme the complexity and organization of behavior in time is no longer elusive. Theme gives objective measures, which can be used for statistical analysis. | |
More effective behavioral research With Theme you can use your observations more effectively. Due to its sensitivity Theme helps reducing the number of replicates in your experiments. Analyzing existing data with Theme may lead to new discoveries. | |
For more information you can download the technical specifications  of Theme 5.0 | |
