  The impact of adiabatic electrons on drift-wave turbulence, modelled by the
Hasegawa-Wakatani equations, is studied using information length. Information
length is a novel theoretical method for measuring distances between
statistical states represented by different probability distribution functions
(PDFs) along the path of a system. Specifically, the time-dependent PDFs of
turbulent fluctuations for a given adiabatic index $A$ is computed. The changes
in fluctuation statistics are then quantified in time by using information
length. The numerical results provide time traces exhibiting intermittent
plasma dynamics, and such behaviour is identified by a rapid change in the
information length. The effects of $A$ are discussed.
