Estimator Variables Impacting Eyewitness Identification in Criminal Justice System

This essay discusses the impact of estimator variables on eyewitness identification in the criminal justice system. It covers factors like race, weapon focus, trauma, and stress that affect eyewitness accuracy. The essay concludes that estimator variables cannot be controlled by the criminal justice system.

Psychology and
criminal justice

TABLE OF CONTENT
INTRODUCTION.................................................................................................................................3
MAINBODY.........................................................................................................................................3
CONCLUSION.....................................................................................................................................3
REFERENCES......................................................................................................................................4

INTRODUCTION
Eyewitness identification is mainly an evidence which is being used as an important
identification tool that is being received from the witness who had seen the whole event and
can help out the court in order to testify the whole scenario. This is mainly a suspension and
identification By a witness who had seen the offender committing crime. This mainly depend
upon the estimator variables and system variables through which the accuracy of eyewitness
can be controlled in criminal justice system (Benson, Masten, and Torgovitsky, 2020). This
essay will cover the three estimator variables that mainly impact the eyewitness
identification.
MAINBODY
Estimator variables are mainly those factors which cannot be controlled in criminal
justice system as it used to cover all the basic factors like the distance at which the crime has
taken place and the activities that has been addressed by the witness. This cover out thewitness, criminal event and the perpetrator who were being involved and have seen the whole
scenario of that event. This mainly covers all the complex factor which are like
race that
identifies the accuracy of witness in order to identify the criminal matter,
presence of weapon
at the time of crime and
the trauma and stress that the witness has faced and experienced
while seeing the act. Police cannot control the estimator variables as it is not being possible
for any criminal justice system to avoid the estimate variables to be addressed.
The most important estimated variable that was being seen as
race of eyewitness, as it is at
time difficult to identify a strangers face from any other race in spite of identifying face of
any stranger from their own race (Naz, and et. al., 2019).
Other than this the most focused estimator variable is
weapon focus as the presence of any
kind of weapon used to draw attention towards it which mainly provides less reliable
identification by the eyewitness (Drews, 2021). And lastly
the trauma, stress and the fear that
used to arise at the time of seeing such situation used to create it more complex as these are
mainly more focused estimator variables that are being analysed and cannot be controlled by
the criminal justice system. All these help out to provide the fair and traceable opportunity to
all the justice system in order to reach to all the records and the issues which are being laid in
it.

CONCLUSION
From this above essay it is concluded that eyewitness identification is mainly an
evidence that is being taken by court from the witness who had testified the event and seen it
from there bare eye. Estimator variable are mainly all such eyewitness accuracy that can
affect the identification and cannot be maintained in control by criminal justice system.
REFERENCES
Drews, N., 2021. Picture Perfect: Reforming Law Enforcement Use of Image Editing in
Eyewitness Identification.
Geo. Wash. L. Rev.,
89, p.429.
Benson, D., Masten, M. and Torgovitsky, A., 2020. IVCRC: Stata module to implement the
instrumental variables correlated random coefficients estimator.
Naz, and et. al., 2019. Moderating and mediating role of renewable energy consumption, FDI
inflows, and economic growth on carbon dioxide emissions: evidence from robust
least square estimator.
Environmental Science and Pollution Research,
26(3),
pp.2806-2819.