Title: | Datasets Used in Social Science Experiments: A Hands-on Introduction |
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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>. |
Authors: | Kerem Tuncer [cre], Donald Green Green [aut] |
Maintainer: | Kerem Tuncer <[email protected]> |
License: | MIT + file LICENSE |
Version: | 0.1.0 |
Built: | 2024-10-31 05:04:32 UTC |
Source: | https://github.com/tuncerkerem/experimentr |
This dataset is used in the exercises of Chapter 4 from the textbook.
balcells
balcells
A data frame with 264 rows and 14 variables:
Pre-treatment covariate denoting age in years
Pre-treatment covariate denoting gender
Pre-treatment covariate denoting political ideology
Pre-treatment covariate denoting economic situation
Pre-treatment covariate denoting interest in politics
Pre-treatment covariate denoting religiosity
Pre-treatment covariate denoting visits to other museums
Pre-treatment covariate denoting trust in government
Pre-treatment covariate denoting satisfaction in government
Pre-treatment covariate denoting whether inequality is deemed a problem
Pre-treatment covariate denoting positive emotions
Pre-treatment covariate denoting negative emotions
Treatment indicator. 1 = treatment, 0 = control
Binary indicator of whether the follow-up survey was completed. 1 = completed, 0 = did not complete
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.
This dataset is used in the exercises of Chapter 4 from the textbook.
barber
barber
A data frame with 1300 rows and 3 variables:
Outcome variable denoting support. 1 = support policy, 0 = do not support policy
Condition indicator. 1 = liberal Trump, 2 = conservative Trump, 3 = GOP Leaders, 5 = control Republican
Pre-treatment covariate denoting denoting partisanship. 1 = Republican, 0 = Not Republican
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.
This dataset is used in the exercises of Chapter 3 from the textbook.
batteries
batteries
A data frame with 30 rows and 5 variables:
Treatment indicator. 1 = treatment, 0 = control
Outcome variable denoting first bounce time
Outcome variable denoting second bounce time
Outcome variable denoting third bounce time
Pre-treatment covariate denoting pre-test bounce time
Rutherford, Kylan. “Experiment Practicum.” Columbia University, 2020.
This dataset is used in the exercises of Chapter 4 from the textbook.
bruneau
bruneau
A data frame with 123 rows and 7 variables:
Attitude towards Arabs at time 0
Attitude towards Arabs at time 1
Attitude towards Arabs at time 2
Average outcome at time 0
Average outcome at time 1
Ethnic group. 1 = White, 2 = Mexican
Condition indicator. 2 = receiver, 1 = sender
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.
This dataset is used in the exercises of Chapters 5 and 6 from the R Companion.
easton
easton
A data frame with 725 rows and 5 variables:
Attractiveness of the shown profile according to the subject
Age in years
Gender. 1 = Male, 0 = Female
Political orientation. 1 = Republican, 0 = Democrat
1 = A profile of a Republican was shown, 0 = A profile of a Democrat was shown
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.
This dataset is used in the exercises of Chapter 7 from the textbook.
frijters
frijters
A data frame with 214 rows and 3 variables:
Roommate's BMI
Participant's BMI at baseline
Participant's BMI after living with roommate for one year
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.
This dataset is used in the exercises of Chapter 7 from the textbook.
lynn
lynn
A data frame with 148 rows and 7 variables:
Number of customers dining at table
Total bill amount in dollars
Tip amount in dollars
Day or evening shift
Whether the bill was paid by male or female. 1 = female, 0 = male
1 = crouch, 0 = standing
Whether the bill was paid by credit card. 1 = credit card, 0 = not credit card
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.
This dataset is used in the exercises of Chapter 6 from the textbook.
mcgrath
mcgrath
A data frame with 30 rows and 5 variables:
Treatment indicator. 1 = treatment, 0 = control
Sales of books
Sales of bulk coffee, tea, or spices
Sales of food
Total of book, coffee, and food sales
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.
This dataset is used in the exercises of Chapters 4 and 7 from the textbook.
mullinix
mullinix
A data frame with 2915 rows and 2 variables:
Condition indicator. L = Lethal, NL = Non-lethal
Outcome measure
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.
This dataset is used in the exercises of Chapters 4 and 7 from the textbook and Chapters 4 and 5 from the R Companion.
murrar
murrar
A data frame with 193 rows and 7 variables:
Attitude toward Whites pre-treatment
Attitude toward Whites post-treatment
Attitude toward Arabs pre-treatment
Attitude toward Arabs post-treatment
Attitude toward Arabs 4-6 weeks after treatment
IAT toward Arabs
Treatment identifier. 1 = treatment, 0 = control
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.
This dataset is used in the exercises of Chapters 4 and 6 from the R Companion.
nickerson
nickerson
A data frame with 956 rows and 2 variables:
Treatment indicator denoting whether participant spoke with canvassers about the upcoming election or about recycling
Whether the participant voted in the elections
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.
This dataset is used in the exercises of Chapter 3 from the textbook.
poori
poori
A data frame with 30 rows and 2 variables:
Observed outcome
Treatment condition. 1 = treatment, 0 = control
Yadav, Monika. “Practicum Experiment: Analysis.” Columbia University, 2020.
This dataset is used in the exercises of Chapter 6 from the textbook.
rondeau
rondeau
A data frame with 3000 rows and 2 variables:
Condition indicator where 0 is High Control, 1 is Challenge, 2 is Matching, and 3 is Low Control
Donation amount
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.
This dataset is used in the exercises of Chapter 4 from the textbook.
sherman
sherman
A data frame with 207 rows and 2 variables:
Treatment indicator. 1 = treatment, 0 = control
Average crime reports in 5 weeks after treatment
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.
This dataset is used in the exercises of Chapter 4 from the textbook.
wrenlewis
wrenlewis
A data frame with 102 rows and 3 variables:
Treatment indicator. 1 = treatment, 0 = control
Hectares of forest loss 2010-2017
Hectares of forest loss 2001-2009
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
This dataset is used in the exercises of Chapter 3 from the textbook.
youtube
youtube
A data frame with 30 rows and 2 variables:
Treatment condition. 1 = treatment, 0 = control
Observed outcome
Rahmani, Bardia. “Practicum Experiment” Columbia University, 2020.