This article describes the development of two doctoral-level multivariate statistics courses utilizing sociocultural theory, an integrative pedagogical framework. In the first course, the implementation of sociocultural theory helps to support the students through a rigorous introduction to statistics. The second course involves students developing and testing their own hypotheses on secondary data sets, writing conference abstracts, and presenting at a mock conference. Quantitative and qualitative data from student feedback highlight the impact of this course, and findings from a short survey of doctoral programs suggest the widespread need for an effective approach to teaching doctoral-level statistics. The course model presented can be easily implemented in other doctoral programs of social work.
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St Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USASt Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA
Maynard, Brandy R.
Labuzienski, Elizabeth M.
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St Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USASt Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA
Labuzienski, Elizabeth M.
Lind, Kristina S.
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Plymouth State Univ, Dept Social Work, Plymouth, NH USASt Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA
Lind, Kristina S.
Berglund, Andrew H.
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Univ Texas Austin, LBJ Sch Publ Affairs, Austin, TX USASt Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA
Berglund, Andrew H.
Albright, David L.
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Univ Alabama, Sch Social Work, Tuscaloosa, AL USASt Louis Univ, Sch Social Work, Tegeler Hall,3550 Lindell Blvd, St Louis, MO 63103 USA