A program to compute McGraw and wong’s common language effect size indicator

Autor:	William P. Dunlap
Rok vydání:	1999
Předmět:	Discrete mathematics Models Statistical Experimental and Cognitive Psychology Table (information) Standard deviation Normal distribution Continuous variable Distribution (mathematics) Statistics Lookup table Psychology (miscellaneous) Software General Psychology Probability Mathematics
Zdroj:	Behavior Research Methods, Instruments, & Computers. 31:706-709
ISSN:	1532-5970 0743-3808
Popis:	McGraw and Wong (1992) have described a very appealing index of effect size that requires no prior knowledge of statistics to understand, which they termed CL, the common language effect size indicator. CL is the probability that a score randomly sampled from one distribution will be larger than a randomly sampled score from a second distribution. McGraw and Wong describe how to compute CL from the means and standard deviations of two groups, using tables of normal curve probability values. The program described herein computes CL without lookup tables but also permits the user to compute CL from Cohen's d, from a t test for independent groups, or from point-biserial r, the correlation between a dichotomous and a continuous variable. A table giving CL for various values of d is also provided, as are the equations for converting t and r to d.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86cded8cd2bb2cf7ee12f943b97b6289 https://doi.org/10.3758/bf03200750 Zobrazit plný text záznamu Full text from SpringerLink