A processed dataset containing simulated responses to the REBL survey from 100 participants. This dataset contains numeric (0/1) coded responses for 24 REBL items measuring pro-environmental behaviors across four domains: food, home, packaging, social, and water.
Format
A data frame with 100 rows and 25 variables:
- respondent_id
Character. Unique participant identifier (p1-p100)
- foodLocal
Numeric. Eating locally grown food (0=No, 1=Yes)
- foodLunchNoMeat
Numeric. Eating lunch without meat (0=No, 1=Yes)
- foodMeat
Numeric. Eating meat regularly (0=No, 1=Yes)
- foodOatMilk
Numeric. Drinking oat milk (0=No, 1=Yes)
- foodTofu
Numeric. Eating tofu (0=No, 1=Yes)
- foodVegan
Numeric. Following vegan diet (0=No, 1=Yes)
- homeClothesCold
Numeric. Washing clothes in cold water (0=No, 1=Yes)
- homeClothesHang
Numeric. Hanging clothes to dry (0=No, 1=Yes)
- homeLightsOff
Numeric. Turning lights off when leaving room (0=No, 1=Yes)
- packCarriedUtensils
Numeric. Carrying reusable utensils (0=No, 1=Yes)
- packCompost
Numeric. Composting organic waste (0=No, 1=Yes)
- packContainerToRestaurant
Numeric. Bringing container to restaurant (0=No, 1=Yes)
- packPickedUpLitter
Numeric. Picking up litter (0=No, 1=Yes)
- packPullRecycleFromTrash
Numeric. Pulling recyclables from trash (0=No, 1=Yes)
- packRags
Numeric. Using rags instead of paper towels (0=No, 1=Yes)
- packReusableMug
Numeric. Using reusable mug (0=No, 1=Yes)
- packReusedPaperPlasticBags
Numeric. Reusing paper/plastic bags (0=No, 1=Yes)
- purchBuyNothing
Numeric. Participating in buy nothing groups (0=No, 1=Yes)
- socialDocumentary
Numeric. Watching environmental documentaries (0=No, 1=Yes)
- socialGroup
Numeric. Participating in environmental groups (0=No, 1=Yes)
- socialRead
Numeric. Reading about environmental issues (0=No, 1=Yes)
- socialSupportive
Numeric. Being supportive of environmental causes (0=No, 1=Yes)
- waterShowerStop
Numeric. Stopping water while showering (0=No, 1=Yes)
- waterTeethStop
Numeric. Stopping water while brushing teeth (0=No, 1=Yes)
Details
This dataset is the processed version of raw_example
, where
character responses ("Yes"/"No") have been converted to numeric values (1/0).
The data can be used for Rasch modeling and other psychometric analyses of
pro-environmental behavior patterns.
See also
raw_example
for the original character-coded data,
get_rasch_model
for fitting Rasch models to this data
Examples
# Load the data
data(example)
# View structure
str(example)
#> 'data.frame': 100 obs. of 25 variables:
#> $ respondent_id : chr "p1" "p2" "p3" "p4" ...
#> $ foodLocal : num 1 1 0 1 1 0 1 0 0 1 ...
#> $ foodLunchNoMeat : num 0 0 1 1 1 0 0 0 1 0 ...
#> $ foodMeat : num 1 0 1 0 0 1 1 0 0 0 ...
#> $ foodOatMilk : num 0 0 0 1 1 1 0 0 0 0 ...
#> $ foodTofu : num 0 0 1 1 1 1 1 1 0 0 ...
#> $ foodVegan : num 0 0 0 1 0 1 0 0 1 0 ...
#> $ homeClothesCold : num 1 1 1 1 1 1 1 0 1 1 ...
#> $ homeClothesHang : num 1 0 0 0 1 1 0 0 0 0 ...
#> $ homeLightsOff : num 0 0 1 1 1 1 1 1 1 1 ...
#> $ packCarriedUtensils : num 0 0 0 1 0 1 0 0 0 0 ...
#> $ packCompost : num 1 0 1 0 0 0 0 1 0 0 ...
#> $ packContainerToRestaurant : num 0 1 1 0 0 1 1 0 1 1 ...
#> $ packPickedUpLitter : num 1 1 1 1 0 0 1 0 0 1 ...
#> $ packPullRecycleFromTrash : num 1 1 0 0 0 1 1 1 1 0 ...
#> $ packRags : num 0 1 1 1 1 1 1 1 1 1 ...
#> $ packReusableMug : num 0 1 0 0 0 0 1 0 0 0 ...
#> $ packReusedPaperPlasticBags: num 0 1 0 1 1 0 1 0 1 1 ...
#> $ purchBuyNothing : num 0 0 1 0 0 1 0 0 1 1 ...
#> $ socialDocumentary : num 1 0 0 0 0 1 0 0 1 1 ...
#> $ socialGroup : num 1 1 1 1 0 1 0 0 0 1 ...
#> $ socialRead : num 1 0 0 0 1 1 1 1 1 1 ...
#> $ socialSupportive : num 0 0 1 1 0 0 1 1 1 0 ...
#> $ waterShowerStop : num 0 1 0 0 0 1 0 0 1 0 ...
#> $ waterTeethStop : num 1 1 0 1 0 0 0 1 0 0 ...
# Summary of pro-environmental behavior frequencies
colSums(example[, -1]) # Exclude respondent_id column
#> foodLocal foodLunchNoMeat
#> 50 52
#> foodMeat foodOatMilk
#> 28 42
#> foodTofu foodVegan
#> 42 38
#> homeClothesCold homeClothesHang
#> 63 37
#> homeLightsOff packCarriedUtensils
#> 57 43
#> packCompost packContainerToRestaurant
#> 38 39
#> packPickedUpLitter packPullRecycleFromTrash
#> 48 35
#> packRags packReusableMug
#> 57 44
#> packReusedPaperPlasticBags purchBuyNothing
#> 61 36
#> socialDocumentary socialGroup
#> 46 50
#> socialRead socialSupportive
#> 48 41
#> waterShowerStop waterTeethStop
#> 46 51