Ecosyste.ms: Issues
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GitHub / bnjmacdonald/antinaturalistic-fallacy issues and pull requests
#32 - update paper for JCP submission
Pull Request -
State: closed - Opened by bnjmacdonald almost 4 years ago
#31 - breakdown willingness-to-pay by subgroup
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#30 - add survey questions and treatment materials to github
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
#30 - add survey questions and treatment materials to github
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
#29 - re-format for submission
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: writing
#29 - re-format for submission
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: writing
#28 - add balance table on length of time between treatment and follow up
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data cleaning, data analysis
#27 - add description of exact survey timeline
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: writing
#27 - add description of exact survey timeline
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: writing
#26 - elaborate on details of benefits of clean meat in introduction/conclusion
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: writing
#26 - elaborate on details of benefits of clean meat in introduction/conclusion
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: writing
#25 - elaborate on cognitive mechanisms that might drive the observed effects of the appeals
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: writing
#24 - elaborate on how practitioners should update their behavior based on our findings
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: writing
#23 - replicate all results with outliers removed
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#22 - examine treatment effects on ancillary outcomes
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#21 - adjust p-values for multiple hypothesis testing
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#20 - examine whether relationship between interest and naturalness is driven by becoming concerned or becoming unconcerned
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#19 - examine WTP effects broken down by subgroups
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
- 2 comments
Labels: data analysis
#18 - examine whether *embrace unnatural* appeal severed the negative relationship between interest and naturalness concerns
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#17 - As a reader, I want a clear summary of the main results so that I understand the main takeaways
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 4 (high)
#17 - As a reader, I want a clear summary of the main results so that I understand the main takeaways
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 4 (high)
#16 - As a reader, I want to a clear description of the estimation procedure so that I can interpret the results
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: priority: 3 (medium)
#16 - As a reader, I want to a clear description of the estimation procedure so that I can interpret the results
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: priority: 3 (medium)
#15 - examine open-ended responses on attitudes towards clean meat in more detail
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#14 - As a PI, I need to link the numbers in the paper to the R code so that I avoid mistakes
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 3 (medium)
#13 - As a methods reader, I want to see a balance table so that I am comfortable that randomization worked
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 2 (low)
#13 - As a methods reader, I want to see a balance table so that I am comfortable that randomization worked
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 2 (low)
#12 - As a PI, I need to reestimate the discrete choice analyses using clogit because it is the more appropriate model
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: priority: 4 (high)
#12 - As a PI, I need to reestimate the discrete choice analyses using clogit because it is the more appropriate model
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: priority: 4 (high)
#11 - As a reader, I need to be able to read the figures without struggle
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 3 (medium)
#11 - As a reader, I need to be able to read the figures without struggle
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 3 (medium)
#10 - As a reader, I want to know why existing work is inadequate to answer your question
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: writing
#10 - As a reader, I want to know why existing work is inadequate to answer your question
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: writing
#9 - As a reader, I want to know who the subgroups of high vs. low WTP individuals are so that I can better understand attitudes towards clean meat
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 4 (high)
#9 - As a reader, I want to know who the subgroups of high vs. low WTP individuals are so that I can better understand attitudes towards clean meat
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 4 (high)
#8 - As a reader, I need a description of the treatment effects in order to interpret the figures
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 3 (medium)
#8 - As a reader, I need a description of the treatment effects in order to interpret the figures
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: priority: 3 (medium)
#7 - examine treatment effects along demographic subgroups
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#6 - examine what kinds of individuals are susceptible to the naturalistic fallacy
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: data analysis
#5 - examine whether treatment effects were larger among "conflicted omnivores"
Issue -
State: open - Opened by bnjmacdonald over 7 years ago
Labels: data cleaning, data analysis
#4 - sensitivity check: relationship between concerns and interest in wave 1 only
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: data analysis
#4 - sensitivity check: relationship between concerns and interest in wave 1 only
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: data analysis
#3 - remove outliers from FFQ variables
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: data cleaning
#3 - remove outliers from FFQ variables
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
- 1 comment
Labels: data cleaning
#2 - estimate treatment effects in discrete choice experiment
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#2 - estimate treatment effects in discrete choice experiment
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#1 - standardize all likert scales and re-estimate all analyses
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: data analysis
#1 - standardize all likert scales and re-estimate all analyses
Issue -
State: closed - Opened by bnjmacdonald over 7 years ago
Labels: data analysis