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.