A Presentation by Michael Canute Lambert, PhD
Monday, October 31, 2016
Social Work practice and research require assessment procedures that reduce and preferably remove bias across diverse (e.g., gender, cultural) groups. This task is especially difficult, since few measures designed especially for ethnically diverse groups are in existence. In cases where such measures are available, they present even greater challenges to reducing measurement bias in cross-group studies. This presentation describes item response theory and how its linking capabilities permit group specific measurement while virtually removing cross-group measurement-related research bias.
Michael Canute Lambert earned Master’s and Doctoral degrees in Clinical Psychology at the University of North Carolina at Chapel Hill and a Master’s degree in Clinical Social Work at Bryn Mawr College. Currently, he is a Professor in the School of Social Work at the University of North Carolina at Chapel Hill, Honorary Professor in the Department of Community Health and Psychiatry, as well as the Department of Obstetrics, Gynecology, and Child Health at the University of the West Indies, Mona, Jamaica. His research foci include the studying of behavioral and emotional functioning in children, adults, and families internationally, as well as measuring psychosocial adjustment in diverse groups nationally and internationally.