Mood, Strategies, And Gender On Sequential To Observe The Effects Of Selection Decisions

We consider a class of sequential observation and selection decision problems in which refer to searching,choosing and gaining.Decision makers have to search information stage by stage, and the aim is to get the maximal payoffs, the binary decision to either stop or continue the search only depends on relative ranks of the applicants. Most of the previous researches fouse on the optimal decision policy. They test the relationship of real searching amount and the optimal decision policy. They found that the participants stopped their search too early and hard to choose the best option. Based on previous researches,we use a mean benchmark rule. There were119college students participated in our suudy. The performance of participants and the impact of gender, emotion and the policies paticipants used on it have been recorded.The results from the present investigation suggest:(1)When college students face the sequential observation and selection decision problems, compared to the optimal decision policy, the participants who use a mean benchmark of20%stopped their search rather late, at about60%in all. The probability of they select the optimal option is far less than37%. The amount of search predict the participants’performance of decision.(2) On negative affect group, male participants’task scores and the levels of decision were better than female participants’.(3) Female paticipants who used a cut-off rule or a successive non-candidate rule had a better performance on the choices of the optimal options than female paticipants who had no specific policies.(4) The impacts of emotions on participants’searching amount and task performance were significant different. The positive affect group searched more options than the negative affect group did, and also theirs performance of task scores, choices of the optimal options and the levels of decision were worse than the negative affect group.(5) The majority of participants used the cut-off rule or successive non-candidate rule. Compared with participants who used a cut-off rule or a successive non-candidate rule, participants who had no specific policy had worse task performances overall.