| Abstract: The experimental analysis of behavior has made several contributions to the understanding of human and non-human behavior (Waltz & Follette, 2009). However, many of these methods of examining behavior rely heavily on quantitative analyses. Because of the nature of mathematical models, including, but not limited to, (a) their complexity, (b) the need for specific behavioral measures, (c) the use of statistical methods, and (d) experience in interpreting results, quantitative analyses have not been widely adopted by applied researchers and practitioners (Critchfield & Reed, 2009). In addition, although this trend is changing, graduate training standards in behavior analysis have historically not emphasized extensive training in quantitative analyses. This seems unfortunate given the benefits quantitative analyses provide to not only understand, but also to improve the human condition. Thus, this Professional Development Series will highlight some of the barriers that prohibit applied researchers and practitioners from conducting quantitative analyses, including why individuals should be using them. In addition, there will be discussions about deciding whether the use of quantitative analyses is appropriate for the research question at hand and how to use quantitative analyses, including tools available for their use. |