Description Usage Arguments Details References Examples
Function for generating Effective Size (Tredoux, 1998) with CIs from normal theory
1 | esize_T_ci_n(lineup_table, alpha)
|
lineup_table |
A table of lineup choices |
alpha |
Alpha level to be declared by user (scalar) |
Reduces the size of a lineup from a (corrected) nominal starting value by the degree to which members are, in sum, chosen below the level of chance expectation
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.
1 2 3 4 5 6 | #Data:
lineup_vec <- round(runif(100, 1, 6))
lineup_table <- table(lineup_vec)
#Call:
e_ci <- esize_T_ci_n(lineup_table, .95)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.