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Tomas Rudzkis

Abstract

The state of criminality could be ascertained by assessing the latent part of this phenomenon. The notion “latent criminality” is used to define the unknown, “invisible” side of criminality, i.e. unregistered part of the latter. There is still some uncertainty regarding the ratio of latent criminality to registered criminality as well as the fluctuation of this ratio
time-wise or structure-wise. Accordingly, the instability of this ratio could have a negative impact to the bias associated with the results of analysis of criminological indicators.
This issue is partially attributable to the specification of the registration procedure of criminal acts as well as to the publication of statistical data to be analyzed for criminological
purposes. Therefore it’s possible to state that the abovementioned ratio is compound.
The scholars having purpose to provide criminological characteristic of the latent criminality commonly investigate it as homogeneous phenomenon, i.e. without dissociating the influencing factors into separate researchable objects. On the one hand, such an attitude allows us to obtain a general picture or envisage a more accurate trend of development. On the other hand, the outcome of such research is affected by the range of bias related to the assessment of indicators to be examined. Therefore the inquiries regarding the components of the ratio in question should be viable in respect of analysis of criminological indicators as it would help to minimize the measurement error emerging under the influence of such factors and, in conjunction, to fine-tune the statistical assessment of the situation or to provide a more accurate forecast for the future.
Each and every criminological research, which involves the usage of time-span dimension, necessarily encounters with a methodological problem because indicators to be analyzed are associated with the moment of registration of processes or other phenomenon, but not with the moment of the occurrence of the latter. This paper is dedicated to describe the method helping to minimize the bias encountered due to distortion of statistical data caused by variable time-shift between the commitment of criminal act and the registration of the latter, ipso facto allowing us to
obtain more reliable results.

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