Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: an SPSS method to analyze univariate data.

@article{Maric2015EvaluatingSA,
  title={Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: an SPSS method to analyze univariate data.},
  author={Marija Maric and E E M de Haan and Sanne M. Hogendoorn and Lidewij H. Wolters and Hilde M. Huizenga},
  journal={Behavior therapy},
  year={2015},
  volume={46 2},
  pages={230-41}
}
Single-case experimental designs are useful methods in clinical research practice to investigate individual client progress. Their proliferation might have been hampered by methodological challenges such as the difficulty applying existing statistical procedures. In this article, we describe a data-analytic method to analyze univariate (i.e., one symptom… CONTINUE READING