apollo_drugChoiceData {apollo} | R Documentation |
Simulated dataset of medication choice.
Description
A simulated dataset containing 10,000 stated medication choices among four alternatives.
Usage
apollo_drugChoiceData
Format
A data.frame with 10,000 rows and 33 variables:
- ID
Numeric. Identification number of the individual.
- task
Numeric. Index of choice situations for each individual, going from 1 to 10.
- best
Numeric. Index of alternative selected as best option.
- second_pref
Numeric. Index of alternative selected as second-best option.
- third_pref
Numeric. Index of alternative selected as third-best option.
- worst
Numeric. Index of alternative selected as worst option.
- brand_1
Character. Brand for alternative 1.
- country_1
Character. Country of origin for alternative 1.
- char_1
Character. Characteristics of alternative 1 (standard, fast acting, or double strength).
- side_effects_1
Numeric. Chance of suffering negative side effects with alternative 1 (out of 100,000).
- price_1
Numeric. Cost of alternative 1 in Pounds sterling (GBP).
- brand_2
Character. Brand for alternative 2.
- country_2
Character. Country of origin for alternative 2.
- char_2
Character. Characteristics of alternative 2 (standard, fast acting, or double strength).
- side_effects_2
Numeric. Chance of suffering negative side effects with alternative 2 (out of 100,000).
- price_2
Numeric. Cost of alternative 2 in Pounds sterling (GBP).
- brand_3
Character. Brand for alternative 3.
- country_3
Character. Country of origin for alternative 3.
- char_3
Character. Characteristics of alternative 3 (standard, fast acting, or double strength).
- side_effects_3
Numeric. Chance of suffering negative side effects with alternative 3 (out of 100,000).
- price_3
Numeric. Cost of alternative 3 in Pounds sterling (GBP).
- brand_4
Character. Brand for alternative 4.
- country_4
Character. Country of origin for alternative 4.
- char_4
Character. Characteristics of alternative 4 (standard, fast acting, or double strength).
- side_effects_4
Numeric. Chance of suffering negative side effects with alternative 4 (out of 100,000).
- price_4
Numeric. Cost of alternative 4 in Pounds sterling (GBP).
- regular_user
Numeric. 1 if the respondent is a regular user of headache medicine, 0 otherwise.
- university_educated
Numeric. 1 if the respondent holds a university degree, 0 otherwise.
- over_50
Numeric. 1 if the respondent is 50 years old or older, 0 otherwise.
- attitude_quality
Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I am concerned about the quality of drugs developed by unknown companies'.
- attitude_ingredients
Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I believe that ingredients are the same no matter what brand'.
- attitude_patent
Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'The original patent holders have valuable experience with their medicines'.
- attitude_dominance
Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I believe the dominance of big pharmaceutical companies is unhelpful'.
Details
This dataset is to be used for discrete choice modelling. Data comes from 1,000 individuals, each with ten stated choice (SC) scenarios involving a choice among headache medication. There are 10,000 choices in total. Data is simulated. Each observation contains attributes of the alternatives, characteristics of the respondent, and their answers to four attitudinal questions. All four alternatives are always available for all individuals. Alternatives 1 and 2 are branded, while alternatives 3 and 4 are generic. Respondents provide a full ranking of alternatives for each choice task (i.e. observation).
Source
http://www.apollochoicemodelling.com/