University of Connecticut OpenCommons@UConn Center for Health, Intervention, and Prevention CHIP Documents (CHIP) 6-1-2006 Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Tania Huedo-Medina University of Connecticut,
[email protected] Julio Sanchez-Meca University of Murcia, Spane Fulgencio Marin-Martinez University of Murcia, Spain Juan Botella Autonoma University of Madrid, Spain Follow this and additional works at: https://opencommons.uconn.edu/chip_docs Part of the Psychology Commons Recommended Citation Huedo-Medina, Tania; Sanchez-Meca, Julio; Marin-Martinez, Fulgencio; and Botella, Juan, "Assessing heterogeneity in meta-analysis: Q statistic or I2 index?" (2006). CHIP Documents. 19. https://opencommons.uconn.edu/chip_docs/19 ASSESSING HETEROGENEITY IN META -ANALYSIS: Q STATISTIC OR I2 INDEX? Tania B. Huedo -Medina, 1 Julio Sánchez -Meca, 1 Fulgencio Marín -Martínez, 1 and Juan Botella 2 Running head: Assessing heterogeneity in meta -analysis 2006 1 University of Murcia, Spa in 2 Autónoma University of Madrid, Spain Address for correspondence: Tania B. Huedo -Medina Dept. of Basic Psychology & Methodology, Faculty of Psychology, Espinardo Campus, Murcia, Spain Phone: + 34 968 364279 Fax: + 34 968 364115 E-mail:
[email protected] * This work has been supported by Plan Nacional de Investigaci ón Cient ífica, Desarrollo e Innovaci ón Tecnol ógica 2004 -07 from the Ministerio de Educaci ón y Ciencia and by funds from the Fondo Europeo de Desarrollo Regional, FEDER (Proyect Number: S EJ2004 -07278/PSIC). Assessing heterogeneity in meta -analysis 2 ASSESSING HETEROGENEITY IN META -ANALYSIS: Q STATISTIC OR I2 INDEX? Abstract In meta -analysis, the usual way of assessing whether a set of single studies are homogeneous is by means of the Q test.