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The paper "Matching Faces to Photographs: Poor Performance in Eyewitness Memory" Uournal of Experimental Psychology: Applied [2008]: \(364-372)\) described an experiment to investigate whether people are more likely to recognize a face when they have seen an actor in person than when they have just seen a photograph of the actor. The paper states that there was no significant difference in the proportion of correct identifications for people who saw the actor in person and for those who only saw a photograph of the actor. In the context of this experiment, explain what it means to say that there is no significant difference in the group means.

Short Answer

Expert verified
There being no significant difference in group means, in this context, implies that whether someone saw the actor in person or in a photograph didn't have a significant statistical effect on their ability to correctly identify the actor. The mode of observation - in person or from a photograph - did not significantly affect recognition.

Step by step solution

01

Understanding Statistical Significance

Statistical significance is a term used in hypotheses testing to denote the likelihood that the difference in the observations or results did not happen by chance. If the difference is statistically significant, it means that the difference is likely due to the experimental intervention or treatment.
02

Understanding Group Means

The group means in a study refers to the average outcomes for each group in the study. In this case, one group observed an actor in person, while the other group observed a photograph of the actor.
03

Explaining No Significant Difference in Group Means

Saying that there is no significant difference in the group means infers that the average rate of correct identifications did not differ meaningfully between the group that saw the actor in person and the group that saw a photograph. In other words, it means that the pathway of observation (in person or through a photograph) does not have a significant impact on the ability to correctly identify the actor.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Hypothesis Testing
Statistical significance plays a crucial role in hypothesis testing, a method used to determine if there is enough evidence in a sample of data to infer that a certain condition is true for the entire population. In the context of the study in question, 'Matching Faces to Photographs', hypothesis testing would be used to examine whether seeing an actor in person versus seeing a photograph significantly affects a person's ability to recognize the actor.

In hypothesis testing, researchers begin by assuming a null hypothesis, which in this case would state that there is no difference between the two groups' recognition abilities. An alternative hypothesis would claim that a difference does indeed exist. Researchers then use statistical methods to determine if the observed data is significantly different enough to reject the null hypothesis and accept the alternative. If they find no statistical significance, as the study reported, they would conclude that the evidence is insufficient to support the claim that there is a difference between the groups.
Group Means
Group means are a summary statistic that represent the average score or outcome for a group in a study. They serve as a key reference point in many experimental investigations to determine the central tendency or 'typical' response of a group. When comparing the ability of subjects to recognize a face, researchers calculate the mean, or average, number of correct identifications for both groups: those who saw the actor in person and those who observed a photograph.

In the cited study on eyewitness memory, the group mean would be central to understanding how well each mode of presentation (in person vs. photograph) aids recognition. By calculating and comparing these means, researchers attempt to interpret whether the differences observed are likely due to the experimental conditions or if they could just as plausibly have occurred by random chance.
Eyewitness Memory
Eyewitness memory is a term used to describe an individual's ability to recall and recognize faces, events, or objects that they have previously observed—often central to the judicial process where eyewitness testimony can be pivotal. However, the reliability of eyewitness memory can be influenced by various factors such as stress, viewing conditions, and the passage of time.

The experiment outlined in 'Matching Faces to Photographs' digs into the specifics of how the mode of observation influences the accuracy of eyewitness memory. It questions whether a direct, in-person encounter with an individual leaves a more memorable impression than viewing their photograph. Experimental psychology, which seeks to understand psychological phenomena through controlled, empirical studies, is well-suited to investigating such intricacies of human memory.
Experimental Psychology
Experimental psychology uses scientific methods to collect data and establish cause-and-effect relationships between variables. In the realm of experimental psychology, rigorous methodologies, and controlled conditions are utilized to test hypotheses, such as the effect of seeing an actor in person versus seeing a photograph on memory recall.

The study from the Journal of Experimental Psychology: Applied is an example of experimental psychology at work. It uses controlled experiments to gather data on eyewitness memory, aiming to draw conclusions about human cognitive processes. Such research helps us understand how people perceive, remember, and interpret information from their environment, especially under varying conditions.

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Most popular questions from this chapter

The article "A 'White' Name Found to Help in Job Search" (Associated Press, January 15,2003 ) described an experiment to investigate if it helps to have a "whitesounding" first name when looking for a job. Researchers sent resumes in response to 5,000 ads that appeared in the Boston Globe and Chicago Tribune. The resumes were identical except that 2,500 of them used "white-sounding" first names, such as Brett and Emily, whereas the other 2,500 used "black- sounding" names such as Tamika and Rasheed. The 5,000 job ads were assigned at random to either the white-sounding name group or the blacksounding name group. Resumes with white-sounding names received 250 responses while resumes with black sounding names received only 167 responses. Do these data support the claim that the proportion receiving a response is significantly higher for resumes with "white-sounding" first names? (Hint: See Example 14.2 )

The paper "If It's Hard to Read, It's Hard to Do" (Psychological Science [2008]: \(986-988\) ) described an interesting study of how people perceive the effort required to do certain tasks. Each of 20 students was randomly assigned to one of two groups. One group was given instructions for an exercise routine that were printed in an easy-to-read font (Arial). The other group received the same set of instructions but printed in a font that is considered difficult to read the time (in minutes) they thought it would take to complete the exercise routine. Summary statistics follow. The authors of the paper used these data to carry out a twosample \(t\) test and concluded at the 0.10 significance level that the mean estimated time to complete the exercise routine is significantly lower when the instructions are printed in an easy-to-read font than when printed in a font that is difficult to read. Discuss the appropriateness of using a twosample \(t\) test in this situation.

The paper "Supervised Exercise Versus Non-Supervised Exercise for Reducing Weight in Obese Adults" (The Journal of Sports Medicine and Physical Fitness [2009]: \(85-90\) ) describes an experiment in which participants were randomly assigned either to a supervised exercise program or a control group. Those in the control group were told only that they should take measures to lose weight. Those in the supervised exercise group were told they should take measures to lose weight as well, but they also participated in regular supervised exercise sessions. The researchers reported that after 4 months, the mean decrease in body fat was significantly higher for the supervised exercise group than for the control group. In the context of this experiment, explain what it means to say that the exercise group mean was significantly higher than the control group mean.

The article referenced in the previous exercise also described an experiment in which students at Columbia Business School were randomly assigned to one of two groups. Students in one group were shown a coffee mug and asked how much they would pay for that mug. Students in the second group were given a coffee mug identical to the one shown to the first group and asked how much someone would have to pay to buy it from them. It was reported that the mean value assigned to the mug for the second group was significantly higher than the mean value assigned to the same mug for the first group. In the context of this experiment, explain what it means to say that the mean value was significantly higher for the group that was given the mug.

The article "An Alternative Vote: Applying Science to the Teaching of Science" (The Economist, May 12,2011 ) describes an experiment conducted at the University of British Columbia. A total of 850 engineering students enrolled in a physics course participated in the experiment. Students were randomly assigned to one of two experimental groups. Both groups attended the same lectures for the first 11 weeks of the semester. In the twelfth week, one of the groups was switched to a style of teaching where students were expected to do reading assignments prior to class, and then class time was used to focus on problem solving, discussion, and group work. The second group continued with the traditional lecture approach. At the end of the twelfth week, students were given a test over the course material from that week. The mean test score for students in the new teaching method group was \(74,\) and the mean test score for students in the traditional lecture group was \(41 .\) Suppose that the two groups each consisted of 425 students. Also suppose that the standard deviations of test scores for the new teaching method group and the traditional lecture method group were 20 and 24 , respectively. Estimate the difference in mean test score for the two teaching methods using a \(95 \%\) confidence interval. Be sure to give an interpretation of the interval.

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