Levels of groups’ certainties about their eyewitness testimony to a simulated cr

Question

Levels of groups’ certainties about their eyewitness testimony to a simulated crime were compared. The first group was set up to be “right” in its eyewitness accounts and the second group was set up to be “wrong”; the desire was to see if confidence differed across groups. Thirty-four participants were recruited from a college campus and randomly divided into two groups, both of which were shown a video of a crime scenario (length: 58 seconds) in which the perpetrator’s facial characteristics (with respect to the camera) were clearly visible at two separate points and sporadically visible at others. Half the participants then were shown a five-individual lineup that contained the perpetrator in the video (“Group A”), and half the participants were shown a five-individual lineup that did not contain the perpetrator (“Group B”). Participants were asked to (a) identify if and where the perpetrator was in the lineup and (b) provide a rating of confidence on a scale from 1 to 10 (10 being highly confident) that the selection was the same as the person seen in the video committing the crime. All participants signed consent forms, were told they could leave the study at any time, and were told they would be debriefed. Data on the confidence ratings are shown below

Group A Confidence Mean- 7.235

7+10+9+10+8+5+10+10+1+10+5+6+7+6+4+5+10/17= 7.235

Group B Confidence Mean- 7.235

10+5+5+10+7+6+10+9+3+6+4+10+10+10+3+7+8/17= 7.235

Based on your results, determine whether the data provide evidence for a valid effect. B. Explain whether or not the results are statistically significant. Support your response with results from the data analysis. C. Present properly labeled graphs representing the data analysis results detailed clearly for ease of stakeholder interpretation. V. Conclusion A. Explain your interpretation of the data. In other words, based on your results, what do you think the data mean? What are the potential implications of this data for the stakeholders? What do these results mean for future research into the topic area? B. Justify the data analysis procedures you used to reach your interpretation. C. Discuss whether it would be appropriate to conduct more statistical procedures to further interpret the data.

Explanation / Answer

a) no valid effect

b) results are not statistically significant.

since p-value > 0.05

it would be appropriate to conduct more statistical procedures to further interpret the data.

t-Test: Two-Sample Assuming Equal Variances Variable 1 Variable 2 Mean 7.235294118 7.235294118 Variance 7.316176471 6.816176471 Observations 17 17 Pooled Variance 7.066176471 Hypothesized Mean Difference 0 df 32 t Stat 0 P(T<=t) one-tail 0.5 t Critical one-tail 1.693888748 P(T<=t) two-tail 1 t Critical two-tail 2.036933343

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