contact_data: Contact Data

In setgree/PrejMetaFunctions: Standard Operating Procedures for meta-analyses by the Paluck Lab

Contact Data

Description

A dataset containing various studies related to the contact hypothesis. The contact hypothesis suggests that interpersonal contact between groups can reduce prejudice and improve social relations. These studies are all Randomized Controlled Trials with at least a single day of delay between the commencement of treatment and outcome measurement.

Usage

contact_data

Format

A data frame with 27 rows and 20 columns

Source

This dataset was constructed by one author (SA Green) of the package for "The contact hypothesis re-evaluated" by EL Paluck, SA Green, and DP Green, published in 2018 in Behavioural Public Policy, Issue 3 (2), pages 129–155.

Study

Name of the study.

name_short

Shortened or abbreviated name of the study.

pub_date

Publication year of the study.

target

Numerical code representing the target group of the study (e.g., disability, foreigners, gender).

target_spelled_out

Detailed description of the target group (e.g., disability, foreigners, gender, LGBT, race, religion).

pop

Numerical code representing the population segment studied (e.g., adults, high school students).

pop_spelled_out

Detailed description of the population segment (e.g., elementary and middle school students, adults, college aged young adults).

unstand

Unstandardized effect size of the study's finding.

statistic

Type of statistical result or method used in the study (e.g., d_i_d, regression, beta, T-test, F-test).

n_t

Sample size of the treatment group.

n_c

Sample size of the control group.

sd_c

Standard deviation of the control group, if available.

what

Reference to the location in the publication where the data or statistic is reported (e.g., page number, table number).

d

Standardized effect size measure (Cohen’s d or Glass’s Δ, depending on the context).

var_d

Variance of the standardized effect size.

se_d

Standard error of the standardized effect size.

p_a_p

Indicates presence (1) or absence (0) of a pre-analysis plan.

publish

Numerical code indicating the publication status or venue (0 for published, 1 for dissertation, 2 for preprint).

days_delay

Number of days between study assignment and treatment.

unique_study_id

A unique numeric identifier for each study.

setgree/PrejMetaFunctions documentation built on April 28, 2024, 9:29 a.m.