2016
DOI: 10.1007/s12144-016-9428-0
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The Influence of Task Difficulty on Context Effect - Compromise and Attraction Effects

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Cited by 11 publications
(5 citation statements)
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“…Furthermore, previous research identifies situational factors that either enhance or reduce attraction and compromise effects both in the same direction. These factors include a need for justifications (Simonson, 1989), attribute framing (Levav et al , 2010), time pressure (Pettibone, 2012), country-of-origin (Chuang and Yen, 2007), task difficulty (Lee et al , 2017) and choice construction through the repeated choice (Amir and Levav, 2008). For example, Simonson (1989) finds that attraction and compromise effects both are stronger when people are asked to justify their decision to others.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Furthermore, previous research identifies situational factors that either enhance or reduce attraction and compromise effects both in the same direction. These factors include a need for justifications (Simonson, 1989), attribute framing (Levav et al , 2010), time pressure (Pettibone, 2012), country-of-origin (Chuang and Yen, 2007), task difficulty (Lee et al , 2017) and choice construction through the repeated choice (Amir and Levav, 2008). For example, Simonson (1989) finds that attraction and compromise effects both are stronger when people are asked to justify their decision to others.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…2) Task difficulty Lee et al (2016) demonstrated through four experiments that when task selection became more difficult, the compromise effect was weakened. According to the resource-matching hypothesis, tasks become more difficult for decision makers when the available cognitive resources cannot match the required cognitive resources.…”
Section: Decision Environment Factorsmentioning
confidence: 99%
“…Since the proportion choosing the decoy also rises (though minimally), the technique for calculating the effect varies depending on whether the proportion selecting the decoy is included. Based on a detailed description of computational techniques in Malaviya and Sivukumar's study (1998) and the most commonly used techniques (e.g., Lee et al, 2016;Malkoc et al, 2013;Pocheptsova et al, 2009), we decided to compute the difference in target choices when the decoy was absent and when it was present, without normalizing the target's share to account for the decoy share. Therefore, the participants who chose the decoy option were not included in the comparisons.…”
Section: Measuring the Attraction Effectmentioning
confidence: 99%