apollo_drugChoiceData {apollo}

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/