effsize_compare: Master Function: Comparing Effective Size
In tmnaylor/r4lineups: Statistical Inference on Lineup Fairness

Description Usage Arguments Details Value References See Also Examples

Function for comparing effective size of two independent lineups (Tredoux, 1998)

1	effsize_compare(linedf)

linedf

A dataframe of lineup data. Contains 2 columns, each of which hold data for 2 independent lineups

This function is a master function, calling other functions it needs, and reporting results in some detail

Effective size, significance level, and confidence intervals (95 normal theory, percentile & bias-corrected)

Davison, A.C. & Hinkley, D.V. (1997). Bootstrap methods and their application. Cambridge University Press.

Malpass, R. S. (1981). Effective size and defendant bias in eyewitness identification lineups. Law and Human Behavior, 5(4), 299-309.

Malpass, R. S., Tredoux, C., & McQuiston-Surrett, D. (2007). Lineup construction and lineup fairness. In R. Lindsay, D. F. Ross, J. D. Read, & M. P. Toglia (Eds.), Handbook of Eyewitness Psychology, Vol. 2: Memory for people (pp. 155-178). Mahwah, NJ: Lawrence Erlbaum Associates.

Tredoux, C. G. (1998). Statistical inference on measures of lineup fairness. Law and Human Behavior, 22(2), 217-237.

Tredoux, C. (1999). Statistical considerations when determining measures of lineup size and lineup bias. Applied Cognitive Psychology, 13, S9-S26.

Wells, G. L.,Leippe, M. R., & Ostrom, T. M. (1979). Guidelines for empirically assessing the fairness of a lineup. Law and Human Behavior, 3(4), 285-293.

boot: https://cran.r-project.org/web/packages/boot/boot.pdf

#Data:

lineup_vec1 <- round(runif(100, 1, 6))
lineup_vec2 <- round(runif(100, 1, 6))
linedf <- as.data.frame(cbind(lineup_vec1, lineup_vec2))

#Call:
x <- effsize_compare(linedf)