Impression Formation Study

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This report is based on impression formation. A study was conducted to see if the order of information presented about a hypothetical person to a participant has an effect on their impression final first impression of that person. Participants from London Metropolitan University (80 participants) were put into two groups, in which they were asked to rate their impression of a hypothetical person with a list of given adjectives (positive and negative), first they are given words that describe this hypothetical person, the describing words were identical, just presented in different orders, depending on which one (of the two) groups the participant was placed in. It was found that a more positive opinion was described for the
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Materials and/or Apparatus
The materials used in this experiment included a computer, the size of the screen was 17 inches, where trait lists were used, and the trait list for the positive – negative group goes as follows; intelligent, industrious, impulsive, critical, stubborn, and envious. The other group received the exact same words, just backwards which goes as follows; envious, stubborn, critical, impulsive, industrious, and intelligent. The words were viewed on a white back ground with a font size on 28 and font type of Calibri. The other apparatus involved included an online questionnaire.
The participants were told they would be shown a screen of words, and were told that after viewing the words they should form an impression of a hypothetical person and will have to answer an online questionnaire which according to the hypothesis should help us gain results which will contribute to research towards primacy effect. The participants were shown their respective trait lists, depending on the group they were assigned to. Each word was shown for 3 seconds with an interval of 1.5 seconds between trait adjectives, after being shown the words the participants were asked to complete an online questionnaire which consisted of 6 questions. To test the hypothesis, we must calculate the mean score and standard deviation for
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