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Appeal for a New Trial

Can you justify it, and would you win?

Definition

An appeal is the resort to a superior court to review a decision of an inferior court or agency. It seeks to have the decision altered due to a perceived error, omission, or injustice by the inferior court or agency.


If you want to estimate whether a new trial would have a more favorable result and to justify an appeal, do the following:

  • Create The Case. Create the case by entering some case information, the facts, and the assertion(s) to be proved by the facts.

  • Decide Whether to Simply Evaluate the New Case or to Compare The First Case to The New Case. If you simply want to evaluate the new case, go to the next statement,  "Select Evaluators." You would compare the two cases if you believe it is important to demonstrate to the court that the result of the new case would be favorable. (Presumably they would differ by one or a few facts.) To compare the two cases, copy the case you have just created so the evaluations of the two cases are not mingled (i.e., simply click, Copy Case).

  • Select Evaluators. You can always evaluate the case yourself, but obtaining evaluators provides precision. Either ask the jurors from the first trial to evaluate the new case, or randomly draw a number of evaluators from the venire, and assign them to the case.  The larger the number of evaluators the greater the accuracy.

  • Evaluate The Case. Because evaluators are using FactLogic on the Web, they can be collocated or dispersed. In either situation, they should evaluate the case in the absence of persuasion, and they should not communicate. If you wish to compare the two cases, the same evaluators should evaluate both.

  • Analyze The Case. If only the new case has been evaluated, analyze the results as you would any other type of case. Hopefully the results are favorable. If the two cases have been evaluated, you may simply compare the results by observation. If there is some doubt that one is more favorable than the other, quantify the comparison by conducting a test of significance. Basically, the test will determine whether values of a selected measure (often called the response variable) for the two cases are significantly different.


Determine if a New Trial is Justified

To determine if a new trial is justified, compare the results of two statistical tests,

  • a test from the first trial and

  • a test from the proposed trial.

Generally, the variable to be measured by FactLogic software, called the response variable, is the probability an assertion is true less the standard of proof. In civil trials, the standard of proof is the preponderance of evidence - which is fixed by statute at 50%.

1. Conduct Two Tests

The two statistical tests should be similar except for the subject of the appeal, usually the facts.

If possible, ask the original jurors to evaluate the facts from each test. Otherwise select a group of evaluators representative of the venire. If a group of evaluators is used, the larger it is, the greater the accuracy (even if the first test is limited to the original jurors). The tests should not be conducted in a setting that simulates a trial because the demeanor and behavior of individuals such as the counselor or witnesses is not the reason the new trial may be sought; they should not affect the results.

2. Compare the Two Tests

The objective of the experiment is to compare the response variable from the test from the first trial and the response variable from the test from the proposed trial. Assume that the means of the two tests are equal, and test this hypothesis (i.e., determine if they are significantly different). If they are significantly different, a new trial may be justified, depending upon which mean is greater: If the mean for the proposed trial is significantly greater than the mean for the first trial, a new trial is probably justified for the plaintiff or prosecution. Conversely, if the mean for the first trial is significantly greater than the mean for the proposed trial, a new trial is probably justified for the defendant. Table 1 shows recommended decisions depending upon the result of the comparison test. Also see Experiment Design.

Table 1. Recommended decisions for a new trial, depending upon which party is the losing party and
upon the result of the comparison test of the means of the two response variables.

  Result of Comparison Test
(i.e., response variable from proposed trial compared to
response variable from first trial)
Proposed >> First
and/or
Proposed > 0
Proposed ~ First Proposed << First
and/or
Proposed < 0
Losing Party from First Trial Defense Don't Appeal Maybe New Trial Justified 
Plaintiff  New Trial Justified Maybe Don't Appeal 


Summary

Determine if a New Trial is Justified

A new trial may be requested if it is perceived that the first trial resulted in an error, omission, or injustice.

To determine if a new trial is justified, conduct two tests, one using data from the first trial and one using data from the proposed trial. The two tests should differ as little as possible, including the evaluators that use FactLogic to evaluate the facts. It is recommended that the response variable, the variable of interest, be the probability an assertion is true less the standard of proof.

The means of the two response variables (i.e., from the two tests) should be subjected to a statistical test to determine if they differ significantly.

If the mean of the proposed trial is significantly greater than the mean of the first trial, a new trial is probably justified for the plaintiff or prosecution. Conversely, if the mean of the first trial is significantly greater than the mean of the proposed trial, a new trial is probably justified for the defendant.



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