Baseline Condition
Pareto Condition
No of Participants | 102 | Pairs /participant | 10 | No of Pairs | 1020 |
No of Participants | 110 | Pairs /participant | 10 | No of Pairs | 1100 |
Analysis 1: contingency tables (descriptive statistics)
Attraction Effect | Repulsion Effect |
A | B | D | |
---|---|---|---|
A |
TARGET
COMPETITOR 624
(61.176470588235 %)
|
COMPETITOR
COMPETITOR 82
(8.0392156862745 %)
|
COMPETITOR
DECOY 9
(0.88235294117647 %)
|
B |
TARGET
TARGET 197
(19.313725490196 %)
|
COMPETITOR
TARGET 92
(9.0196078431373 %)
|
TARGET
DECOY 4
(0.3921568627451 %)
|
D |
DECOY
TARGET 6
(0.58823529411765 %)
|
DECOY
COMPETITOR 4
(0.3921568627451 %)
|
DECOY
DECOY 2
(0.19607843137255 %)
|
A | B | D | |
---|---|---|---|
A |
TARGET
COMPETITOR 558
(50.727272727273 %)
|
COMPETITOR
COMPETITOR 119
(10.818181818182 %)
|
COMPETITOR
DECOY 31
(2.8181818181818 %)
|
B |
TARGET
TARGET 188
(17.090909090909 %)
|
COMPETITOR
TARGET 176
(16 %)
|
TARGET
DECOY 5
(0.45454545454545 %)
|
D |
DECOY
TARGET 10
(0.90909090909091 %)
|
DECOY
COMPETITOR 9
(0.81818181818182 %)
|
DECOY
DECOY 4
(0.36363636363636 %)
|
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 |
Baseline Condition attraction scores
Pareto Condition attraction scores