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Field
Primary Outcomes (End Points)
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Before
Creativity/Productivity
This study will measure participants’ performance in the brainstorming task using two types of measurement. First the creativity of generated ideas will be measured using experts, as is common in brainstorming tasks that involve expert contexts (Grant and Berry 2011). The generated ideas will be judged by a team of judges at Global. The criteria for judgement will be (1) how novel the ideas are and (2) how useful the ideas are. Ratings will follow a 7-point Likert scale (1 = lowest score, 7 = highest score). Finally, a score for total number of ideas generated will also be used as an outcome, as is common in many brainstorming studies (Bonk 2003; Guilford 1967).
Trait Attribution/Self-Other Overlap
We are also concerned with two other main outcome variables that relate to each other. The first is the amount of trait attribution given to the subject the participant is generating ideas for, and the second is the degree of self-other overlap generated between conditions. Both of these are measured using the same combination of tasks (Aron et al. 1991; Davis et al. 1996; Galinsky and Moskowitz 2000; Goldstein and Cialdini 2007). First participants in all three conditions will be shown a series of 90 traits, and will decide how much each trait accurately describes them as people (scale of 1 to 7, 1 = not at all and 7 = very much). Then, after the brainstorming task, conditions 2 and 3 will be shown the same 90 traits and asked to decide how well those same 90 traits describe the subject in their brainstorming task. The degree to which traits are ascribed to the subject (i.e. the higher the scores for each trait) by participants in conditions 2 and 3 is a measure of trait attribution. The extent to which these scores overlap with the participants’ trait attributions for themselves is the degree of self-other overlap. To be more specific, self-other overlap is calculated as the absolute value of the difference between the trait attribution a participant gives for the 90 traits to himself/herself and to the subject he/she is making decisions for in the brainstorming task.
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After
Creativity/Productivity
This study will measure participants’ performance in the brainstorming task using two types of measurement. First the creativity of generated ideas will be measured using experts, as is common in brainstorming tasks that involve expert contexts (Grant and Berry 2011). The generated ideas will be judged by a team of judges at [the company. The criteria for judgement will be (1) how novel the ideas are and (2) how useful the ideas are. Ratings will follow a 7-point Likert scale (1 = lowest score, 7 = highest score). Finally, a score for total number of ideas generated will also be used as an outcome, as is common in many brainstorming studies (Bonk 2003; Guilford 1967).
Trait Attribution/Self-Other Overlap
We are also concerned with two other main outcome variables that relate to each other. The first is the amount of trait attribution given to the subject the participant is generating ideas for, and the second is the degree of self-other overlap generated between conditions. Both of these are measured using the same combination of tasks (Aron et al. 1991; Davis et al. 1996; Galinsky and Moskowitz 2000; Goldstein and Cialdini 2007). First participants in all three conditions will be shown a series of 90 traits, and will decide how much each trait accurately describes them as people (scale of 1 to 7, 1 = not at all and 7 = very much). Then, after the brainstorming task, conditions 2 and 3 will be shown the same 90 traits and asked to decide how well those same 90 traits describe the subject in their brainstorming task. The degree to which traits are ascribed to the subject (i.e. the higher the scores for each trait) by participants in conditions 2 and 3 is a measure of trait attribution. The extent to which these scores overlap with the participants’ trait attributions for themselves is the degree of self-other overlap. To be more specific, self-other overlap is calculated as the absolute value of the difference between the trait attribution a participant gives for the 90 traits to himself/herself and to the subject he/she is making decisions for in the brainstorming task.
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