dohle_siegrist: Dohle and Siegrist (2014, Exp 1) illustrating within-subject...
In cedricbatailler/JSmediation: Mediation Analysis Using Joint Significance
dohle_siegrist R Documentation
Dohle and Siegrist (2014, Exp 1) illustrating within-subject analysis
(long-format)
Description
A data set containing data from Dohle and Siegrist (2014)'s
Experiment 1 that can be used to conduct within-subject joint-significance
test. In this experiment, researchers are interested in the effect of name
complexity on willingness to buy a drug. The specific hypothesis is that
complex drug names are perceived as more hazardous, which makes someone
less likely to buy the drug. Researchers used a within-subject design.
This data set is in a long-format, see mdt_within to conduct
a within-participant mediation analysis with this data set.
Usage
data("dohle_siegrist")
Format
A data frame with 44 rows and 4 variables:
- participant
Participant number.
- name
Name of the drugs ("simple" vs. "complex").
- hazardousness
Mean estimated hazardousness.
- willingness
Mean willingness to buy.
References
Dohle, S., & Siegrist, M. (2014). Fluency of pharmaceutical drug
names predicts perceived hazardousness, assumed side effects and
willingness to buy. Journal of Health Psychology, 19(10),
1241-1249. doi: 10.1177/1359105313488974
cedricbatailler/JSmediation documentation built on March 4, 2024, 12:52 p.m.
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| dohle_siegrist | R Documentation |
Dohle and Siegrist (2014, Exp 1) illustrating within-subject analysis (long-format)
Description
A data set containing data from Dohle and Siegrist (2014)'s Experiment 1 that can be used to conduct within-subject joint-significance test. In this experiment, researchers are interested in the effect of name complexity on willingness to buy a drug. The specific hypothesis is that complex drug names are perceived as more hazardous, which makes someone less likely to buy the drug. Researchers used a within-subject design.
This data set is in a long-format, see mdt_within to conduct
a within-participant mediation analysis with this data set.
Usage
data("dohle_siegrist")
Format
A data frame with 44 rows and 4 variables:
- participant
Participant number.
- name
Name of the drugs ("simple" vs. "complex").
- hazardousness
Mean estimated hazardousness.
- willingness
Mean willingness to buy.
References
Dohle, S., & Siegrist, M. (2014). Fluency of pharmaceutical drug names predicts perceived hazardousness, assumed side effects and willingness to buy. Journal of Health Psychology, 19(10), 1241-1249. doi: 10.1177/1359105313488974
R Package Documentation
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