TITLE: “Salience Can Make Positive Information More Influential Than Negative Information”

AUTHORS:  Meng Zhu, Joachim Vosgerau & Ajay Kalra

CONTACT INFORMATION:  Meng Zhu (mzhu@andrew.cmu.edu) is a doctoral candidate in Marketing, and Joachim Vosgerau (vosgerau@andrew.cmu.edu) is Assistant Professor of Marketing at the Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA. Tel: (412) 268 4787, Fax: (412) 268 7357. Ajay Kalra (ajay.kalra@rice.edu) is Professor of Marketing at Jesse H. Jones Graduate School of Management, Rice University, 1600 Main Street, Texas, 77005 Tel: (713) 348 2387, Fax:(713)348 6296.

 

APPENDIX 1A

THE “HIGH” INTELLIGENCE PROFILES USED IN STUDY 1 AND STUDY 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Note: Numbers next to each exemplar behavior are the mean and standard deviation from the pretest, in which participants rated the items on a 7-point intelligence scale anchored by “1 = very stupid” and “7 = very intelligent”.

 

 

APPENDIX 1B

THE “LOW” INTELLIGENCE PROFILES USED IN STUDY 1 AND STUDY 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Note: Numbers next to each exemplar behavior are the mean and standard deviation from the pretest, in which participants rated the items on a 7-point intelligence scale anchored by “1 = very stupid” and “7 = very intelligent”.

 


APPENDIX 1C

THE “HIGH” HONESTY PROFILES USED IN STUDY 1 AND STUDY 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Note: Numbers next to each exemplar behavior are the mean and standard deviation from the pretest, in which participants rated the items on a 7-point honesty scale anchored by “1 = very dishonest” and “7 = very honest”.

 


APPENDIX 1D

 THE “LOW” HONESTY PROFILES USED IN STUDY 1 AND STUDY 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


Note: Numbers next to each exemplar behavior are the mean and standard deviation from the pretest, in which participants rated the items on a 7-point honesty scale anchored by “1 = very dishonest” and “7 = very honest”.

 

 

APPENDIX 2A

 THE SIX-RATING CHOICE SETS USED IN STUDY 3

The “6- Rating, Inconsistency- Negative” Restaurant Set

Restaurant A

Average Rating: 15 out 30

0 = very poor, 30 = excellent

Restaurant B

Average Rating = 15 out 30

0 = very poor, 30 = excellent

Rating 1:   20

                       Rating  7:    15

Rating 2:   3

                       Rating  8:    16

Rating 3:   22

                       Rating  9:    14

Rating 4:   21

Rating 10:   15

Rating 5:   5

Rating 11:   16

Rating 6:   19

Rating 12:   14

 

The “6- Rating, Inconsistency- Positive” Restaurant Set

Restaurant A

Average Rating: 15 out 30

0 = very poor, 30 = excellent

Restaurant B

Average Rating = 15 out 30

0 = very poor, 30 = excellent

Rating 1:   8

                       Rating  7:    15

Rating 2:   27

                       Rating  8:    16

Rating 3:   9

                       Rating  9:    14

Rating 4:   10

Rating 10:   15

Rating 5:   25

Rating 11:   16

Rating 6:   11

Rating 12:   14

 

 

 

APPENDIX 2B

 THE TEN-RATING CHOICE SETS USED IN STUDY 3

The “10- Rating, Inconsistency- Negative” Restaurant Set

Restaurant A

Average Rating: 15 out 30

0 = very poor, 30 = excellent

Restaurant B

Average Rating = 15 out 30

0 = very poor, 30 = excellent

Rating 1:   19

Rating 11:   15

Rating 2:   3

Rating 12:   16

Rating 3:   21

Rating 13:   14

Rating 4:   17

Rating 14:   15

Rating 5:   18

Rating 15:   16

Rating 6:   5

Rating 16:   14

Rating 7:   19

Rating 17:   15

Rating 8:   7

Rating 18:   16

Rating 9:   20

Rating 19:   14

                Rating 10:  21

Rating 20:   15

                    

The “10- Rating, Inconsistency- Positive” Restaurant Set

Restaurant A

Average Rating: 15 out 30

0 = very poor, 30 = excellent

Restaurant B

Average Rating = 15 out 30

0 = very poor, 30 = excellent

Rating 1:   11

Rating 11:   15

Rating 2:   27

Rating 12:   16

Rating 3:   9

Rating 13:   14

Rating 4:   13

Rating 14:   15

Rating 5:   12

Rating 15:   16

Rating 6:   25

Rating 16:   14

Rating 7:   11

Rating 17:   15

Rating 8:   23

Rating 18:   16

Rating 9:   10

Rating 19:   14

Rating 10:   9

Rating 20:   15