Type: | Package |
Title: | Datasets Used in Social Science Experiments: A Hands-on Introduction |
Version: | 0.1.0 |
Description: | Contains all the datasets that were used in Social Science Experiments: A Hands-On Introduction and in its R Companion. Relevant materials can be found at https://osf.io/b78je. |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
LazyData: | true |
Depends: | R (≥ 3.50) |
RoxygenNote: | 7.1.2 |
NeedsCompilation: | no |
Packaged: | 2022-03-03 00:42:36 UTC; keremtuncer |
Author: | Kerem Tuncer [cre], Donald Green Green [aut] |
Maintainer: | Kerem Tuncer <kt2716@columbia.edu> |
Repository: | CRAN |
Date/Publication: | 2022-03-07 20:20:02 UTC |
Data from "Do transitional justice museums persuade visitors? Evidence from a field experiment"
Description
This dataset is used in the exercises of Chapter 4 from the textbook.
Usage
balcells
Format
A data frame with 264 rows and 14 variables:
- age
Pre-treatment covariate denoting age in years
- gender
Pre-treatment covariate denoting gender
- pre_ideology_1
Pre-treatment covariate denoting political ideology
- pre_economic_situation
Pre-treatment covariate denoting economic situation
- pre_political_interest
Pre-treatment covariate denoting interest in politics
- pre_religion_importance
Pre-treatment covariate denoting religiosity
- total_museums
Pre-treatment covariate denoting visits to other museums
- pre_conf_gov
Pre-treatment covariate denoting trust in government
- pre_inst_gov
Pre-treatment covariate denoting satisfaction in government
- pre_current_ineq
Pre-treatment covariate denoting whether inequality is deemed a problem
- pre_positive
Pre-treatment covariate denoting positive emotions
- pre_negative
Pre-treatment covariate denoting negative emotions
- treatmentgroup
Treatment indicator. 1 = treatment, 0 = control
- f3
Binary indicator of whether the follow-up survey was completed. 1 = completed, 0 = did not complete
Source
Balcells, Laia, et al. “Do Transitional Justice Museums Persuade Visitors? Evidence from a Field Experiment.” The Journal of Politics, vol. 84, no. 1, 2022, pp. 496–510., https://doi.org/10.1086/714765.
Data from "Does Party Trump Ideology? Disentangling Party and Ideology in America"
Description
This dataset is used in the exercises of Chapter 4 from the textbook.
Usage
barber
Format
A data frame with 1300 rows and 3 variables:
- Support
Outcome variable denoting support. 1 = support policy, 0 = do not support policy
- condition
Condition indicator. 1 = liberal Trump, 2 = conservative Trump, 3 = GOP Leaders, 5 = control Republican
- republican
Pre-treatment covariate denoting denoting partisanship. 1 = Republican, 0 = Not Republican
Source
BARBER, MICHAEL, and JEREMY C. POPE. “Does Party Trump Ideology? Disentangling Party and Ideology in America.” American Political Science Review, vol. 113, no. 1, 2019, pp. 38–54., doi:10.1017/S0003055418000795.
Data from Rutherford's experiment with batteries
Description
This dataset is used in the exercises of Chapter 3 from the textbook.
Usage
batteries
Format
A data frame with 30 rows and 5 variables:
- treatment
Treatment indicator. 1 = treatment, 0 = control
- one
Outcome variable denoting first bounce time
- two
Outcome variable denoting second bounce time
- three
Outcome variable denoting third bounce time
- pre
Pre-treatment covariate denoting pre-test bounce time
Source
Rutherford, Kylan. “Experiment Practicum.” Columbia University, 2020.
Data from "The power of being heard: The benefits of ‘perspective-giving’ in the context of intergroup conflict"
Description
This dataset is used in the exercises of Chapter 4 from the textbook.
Usage
bruneau
Format
A data frame with 123 rows and 7 variables:
- FTar
Attitude towards Arabs at time 0
- FTar_1
Attitude towards Arabs at time 1
- FTar_2
Attitude towards Arabs at time 2
- Average
Average outcome at time 0
- Average_1
Average outcome at time 1
- group
Ethnic group. 1 = White, 2 = Mexican
- condition
Condition indicator. 2 = receiver, 1 = sender
Source
Bruneau, Emile G., and Rebecca Saxe. “The Power of Being Heard: The Benefits of ‘Perspective-Giving’ in the Context of Intergroup Conflict.” Journal of Experimental Social Psychology, vol. 48, no. 4, 2012, pp. 855–866., https://doi.org/10.1016/j.jesp.2012.02.017.
Data from "The Democracy of Dating: How Political Affiliations Shape Relationship Formation"
Description
This dataset is used in the exercises of Chapters 5 and 6 from the R Companion.
Usage
easton
Format
A data frame with 725 rows and 5 variables:
- attractiveness_score
Attractiveness of the shown profile according to the subject
- age
Age in years
- male
Gender. 1 = Male, 0 = Female
- republican
Political orientation. 1 = Republican, 0 = Democrat
- treatment_republican_profile
1 = A profile of a Republican was shown, 0 = A profile of a Democrat was shown
Source
Easton, Matthew J., and John B. Holbein. “The Democracy of Dating: How Political Affiliations Shape Relationship Formation.” Journal of Experimental Political Science, vol. 8, no. 3, 2021, pp. 260–272., doi:10.1017/XPS.2020.21.
Data from "Roommate effects in health outcomes"
Description
This dataset is used in the exercises of Chapter 7 from the textbook.
Usage
frijters
Format
A data frame with 214 rows and 3 variables:
- Roommate_BMI
Roommate's BMI
- Past_BMI
Participant's BMI at baseline
- Current_BMI
Participant's BMI after living with roommate for one year
Source
Frijters, Paul, et al. “Roommate Effects in Health Outcomes.” Health Economics, vol. 28, no. 8, 2019, pp. 998–1034., https://doi.org/10.1002/hec.3901.
Data from "Effect of Server Posture on Restaurant Tipping"
Description
This dataset is used in the exercises of Chapter 7 from the textbook.
Usage
lynn
Format
A data frame with 148 rows and 7 variables:
- groupsize
Number of customers dining at table
- bill
Total bill amount in dollars
- tip
Tip amount in dollars
- daytime
Day or evening shift
- female
Whether the bill was paid by male or female. 1 = female, 0 = male
- crouch
1 = crouch, 0 = standing
- paid_by_credit_card
Whether the bill was paid by credit card. 1 = credit card, 0 = not credit card
Source
Lynn, Michael, and Kirby Mynier. “Effect of Server Posture on Restaurant Tipping.” Journal of Applied Social Psychology, vol. 23, no. 8, 1993, pp. 678–685., https://doi.org/10.1111/j.1559-1816.1993.tb01109.x.
Data from "Chocolate scents and product sales: a randomized controlled trial in a Canadian bookstore and cafe"
Description
This dataset is used in the exercises of Chapter 6 from the textbook.
Usage
mcgrath
Format
A data frame with 30 rows and 5 variables:
- treatment
Treatment indicator. 1 = treatment, 0 = control
- book
Sales of books
- coffee
Sales of bulk coffee, tea, or spices
- food
Sales of food
- grandtotal
Total of book, coffee, and food sales
Source
McGrath, Mary C., et al. “Chocolate Scents and Product Sales: A Randomized Controlled Trial in a Canadian Bookstore and Café.” SpringerPlus, vol. 5, no. 1, 2016, https://doi.org/10.1186/s40064-016-2303-5.
Data from "The Feedback Effects of Controversial Police Use of Force"
Description
This dataset is used in the exercises of Chapters 4 and 7 from the textbook.
Usage
mullinix
Format
A data frame with 2915 rows and 2 variables:
- FL_10_DO
Condition indicator. L = Lethal, NL = Non-lethal
- Q30
Outcome measure
Source
Mullinix, Kevin J., et al. “The Feedback Effects of Controversial Police Use of Force.” Political Behavior, vol. 43, no. 2, 2020, pp. 881–898., https://doi.org/10.1007/s11109-020-09646-x.
Data from "Entertainment-education effectively reduces prejudice"
Description
This dataset is used in the exercises of Chapters 4 and 7 from the textbook and Chapters 4 and 5 from the R Companion.
Usage
murrar
Format
A data frame with 193 rows and 7 variables:
- white_t0
Attitude toward Whites pre-treatment
- white_t1
Attitude toward Whites post-treatment
- arab_t0
Attitude toward Arabs pre-treatment
- arab_t1
Attitude toward Arabs post-treatment
- arab_t2
Attitude toward Arabs 4-6 weeks after treatment
- iatT1N
IAT toward Arabs
- condition
Treatment identifier. 1 = treatment, 0 = control
Source
Murrar, Sohad, and Markus Brauer. “Entertainment-Education Effectively Reduces Prejudice.” Group Processes & Intergroup Relations, vol. 21, no. 7, 2017, pp. 1053–1077., https://doi.org/10.1177/1368430216682350.
Data from "Is Voting Contagious? Evidence from Two Field Experiments"
Description
This dataset is used in the exercises of Chapters 4 and 6 from the R Companion.
Usage
nickerson
Format
A data frame with 956 rows and 2 variables:
- treatment
Treatment indicator denoting whether participant spoke with canvassers about the upcoming election or about recycling
- voted02p
Whether the participant voted in the elections
Source
NICKERSON, DAVID W. “Is Voting Contagious? Evidence from Two Field Experiments.” American Political Science Review, vol. 102, no. 1, 2008, pp. 49–57., doi:10.1017/S0003055408080039.
Data from Yadav's poori experiment
Description
This dataset is used in the exercises of Chapter 3 from the textbook.
Usage
poori
Format
A data frame with 30 rows and 2 variables:
- score
Observed outcome
- group
Treatment condition. 1 = treatment, 0 = control
Source
Yadav, Monika. “Practicum Experiment: Analysis.” Columbia University, 2020.
Data from "Matching and Challenge Gifts to Charity:Evidence from Laboratory and Natural Field Experiments"
Description
This dataset is used in the exercises of Chapter 6 from the textbook.
Usage
rondeau
Format
A data frame with 3000 rows and 2 variables:
- treattype
Condition indicator where 0 is High Control, 1 is Challenge, 2 is Matching, and 3 is Low Control
- donation
Donation amount
Source
Rondeau, Daniel, and John A. List. “Matching and Challenge Gifts to Charity: Evidence from Laboratory and Natural Field Experiments.” SSRN Electronic Journal, 23 May 2008, https://doi.org/10.2139/ssrn.1136440.
Data from "Deterrent Effects of Police Raids on Crack Houses: A Randomized, Controlled Experiment"
Description
This dataset is used in the exercises of Chapter 4 from the textbook.
Usage
sherman
Format
A data frame with 207 rows and 2 variables:
- treatment
Treatment indicator. 1 = treatment, 0 = control
- CFS_after_5weeks
Average crime reports in 5 weeks after treatment
Source
Sherman, Lawrence W., et al. “Deterrent Effects of Police Raids on Crack Houses: A Randomized, Controlled Experiment.” Justice Quarterly, vol. 12, no. 4, 1995, pp. 755–781., https://doi.org/10.1080/07418829500096281.
Data from "Formalizing land rights can reduce forest loss: Experimental evidence from Benin"
Description
This dataset is used in the exercises of Chapter 4 from the textbook.
Usage
wrenlewis
Format
A data frame with 102 rows and 3 variables:
- treated
Treatment indicator. 1 = treatment, 0 = control
- tcl_area_L_from2010to2017
Hectares of forest loss 2010-2017
- tcl_area_L_from2001to2009
Hectares of forest loss 2001-2009
Source
Wren-Lewis, Liam et al. “Formalizing land rights can reduce forest loss: Experimental evidence from Benin.” Science advances vol. 6,26 eabb6914. 26 Jun. 2020, doi:10.1126/sciadv.abb6914
Data from Rahmani's YouTube experiment
Description
This dataset is used in the exercises of Chapter 3 from the textbook.
Usage
youtube
Format
A data frame with 30 rows and 2 variables:
- group
Treatment condition. 1 = treatment, 0 = control
- outcome
Observed outcome
Source
Rahmani, Bardia. “Practicum Experiment” Columbia University, 2020.