Selection Condition
Deletion Condition
No of Participants | 103 | Pairs /participant | 10 | No of Pairs | 1030 |
No of Participants | 101 | Pairs /participant | 10 | No of Pairs | 1010 |
Analysis 1: contingency tables (descriptive statistics)
Attraction Effect | Repulsion Effect |
A | B | D | |
---|---|---|---|
A |
TARGET
COMPETITOR 762
(73.980582524272 %)
|
COMPETITOR
COMPETITOR 42
(4.0776699029126 %)
|
COMPETITOR
DECOY 15
(1.4563106796117 %)
|
B |
TARGET
TARGET 125
(12.135922330097 %)
|
COMPETITOR
TARGET 67
(6.504854368932 %)
|
TARGET
DECOY 7
(0.67961165048544 %)
|
D |
DECOY
TARGET 5
(0.48543689320388 %)
|
DECOY
COMPETITOR 3
(0.29126213592233 %)
|
DECOY
DECOY 4
(0.38834951456311 %)
|
A | B | D | |
---|---|---|---|
A |
TARGET
COMPETITOR 744
(73.663366336634 %)
|
COMPETITOR
COMPETITOR 74
(7.3267326732673 %)
|
COMPETITOR
DECOY 8
(0.79207920792079 %)
|
B |
TARGET
TARGET 88
(8.7128712871287 %)
|
COMPETITOR
TARGET 90
(8.9108910891089 %)
|
TARGET
DECOY 1
(0.099009900990099 %)
|
D |
DECOY
TARGET 5
(0.4950495049505 %)
|
DECOY
COMPETITOR 0
(0 %)
|
DECOY
DECOY 0
(0 %)
|
Analysis 2: inferential statistics (for R code)
ScoresA (10):+1 | chose Target | +0 | chose Competitor | +0.5 | chose Decoy |
+1 | chose Competitor | +0 | chose Target | +0.5 | chose Decoy |
observation = 0 | no bias (no attraction or repulsion effect) | observation > 0 | attraction effect | observation < 0 | repulsion Effect |
Selection Condition attraction scores
Deletion Condition attraction scores