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restriktor (version 0.6-30)

Kuiper2012estimates: Estimates and standard errors from four studies on past experience and buyer trust

Description

This dataset contains effect estimates for the association between previous experience and buyer trust from four independent studies. The studies used different statistical models (linear, probit, and three-level logistic regression), making the raw parameter estimates not directly comparable across studies. Therefore, GORICA evidence aggregation can be performed using only the study-specific estimates of \(\beta_{past}\) and their uncertainty (standard errors, or equivalently variances).

Usage

data(Kuiper2012estimates)

Arguments

Format

An object of class data.frame with 4 rows and 4 columns.

study

Character. Study identifier (e.g., authors).

year

Integer. Publication year of the study.

estimate

Numeric. Estimate of \(\beta_{past}\) (effect of previous experience on trust).

se

Numeric. Standard error of estimate.

Details

Each row corresponds to one study. For each study, the hypothesis of interest is \(H_{+}: \beta_{past} > 0\). Study-specific GORICA weights quantify support for this hypothesis, and GORICA evidence aggregation combines this support across the four studies to synthesize evidence for the central theory that previous experience positively relates to trust.

Examples

Run this code
data(Kuiper2012estimates)

# Inspect the data
Kuiper2012estimates

# Optional: compute variances from standard errors
# Kuiper2012estimates$var <- Kuiper2012estimates$se^2

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