Correlations Between Factors of Confidence Accuracy and Time

The ANOVA test indicated that there is a relationship between accuracy and confidence and the p value is 0.000. The relationship is identified using the average values across the confidence level and as confidence increases, then accuracy also increases. The time factor does not improve the relationship between confidence and accuracy. It is possible that time influence’s a person’s judgment and correlates with confidence and accuracy. However, time affects accuracy at different confidence level. At a 55 percent confidence level, time is likely to improve accuracy. however, at 95 percent confidence level, time does not improve accuracy. Correlations Between Factors of Confidence, Accuracy and Time Previous studies indicate that there is a relationship between confidence and accuracy. Scholars argue higher confidence levels result in higher accuracy levels. However, this relationship may not hold true if individuals exude an over-confident attitude. This paper focuses on highlighting the relationship between confidence and accuracy and also explores the relationship between time and accuracy. Some scholars argue that there is a relationship between time and accuracy due to individuals being given time to mentally process a question before giving an answer. therefore, they are more likely able to provide a more accurate answer. The main focus in this paper is to identify the relationship between accuracy and confidence and how it correlates with time as a factor. …
Possible limitations in this analysis include the fact that data may not contain other variables that may impact the outcome of the conclusions of these hypotheses and may additionally be useful in exploring how these three factors relate to one another, if at all. Literature Review According to Allwood and Jonsson. (2003), defines confidence as how sure an individual is of themselves and in this experiment, is in regards to answering a question given and how the answer will depend on his or her own knowledge and beliefs. In his research, he assumes that individuals are likely to rate their confidence with reference to their accuracy. If they are confident, then they are sure they are not wrong. Therefore. if individuals rate that they are 50 percent confidence, then they also anticipate to be 50 percent accurate. Krug, (2007) on the discussion of the use of eye-witness testimony, states that confidence can be a good indicator of accuracy. Additionally, other authors such as Safer and Wise (2004) state that many courts in the United States will depend on a witness’ confidence to determine whether or not the information they provide is accurate. This mentality is supported by Bradfield and Wells, (2000) who determined that the jurors’ opinions highly depended on their confidence to make decisions. According to their research study, over 70 percent of prosecutors and law enforcement officers depended on witness confidence to measure the accuracy of information provided, therefore determining if the answers they are giving are in fact true. In contrast, many authors such as Memon, (2001) state that confidence is a poor measure of accuracy and that there is only measured to be a 0.07 correlation between

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