Traditionally, intervention research in social science and medicine has employed single case research designs (SCR) and when conducted with strong and appropriately chosen designs allows us to infer functional relationships between intervention and behavior change: i.e., “did behavior change?”
More recently, technology allows us to use techniques to estimate the size of the effects, determine confidence intervals and judge chance occurrence of effects. Meta-analysis techniques permit the aggregation of effects across studies and articulating the degree of error associated with any judgment about effects.
The following papers represent applications of SCR analysis techniques and meta-analysis to contribute to determining evidence based practice. We do not endorse the work listed here, but present it as part of emerging methodology in an effort at moving the field forward.
If you would like your work listed here, please drop us a note. References to papers published in peer-reviewed journals or dissertations will be included for others to find.