TY - THES ID - 139096316 TI - Characteristics of single-case designs in 2013: a replication study AU - Lemmens, Laura. AU - Van Den Noortgate, Wim. AU - Heyvaert, Mieke. AU - KU Leuven. Faculteit Psychologie en Pedagogische Wetenschappen. Opleiding Master in de psychologie PY - 2015 PB - Leuven : KU Leuven. Faculteit Psychologie en Pedagogische Wetenschappen DB - UniCat UR - https://www.unicat.be/uniCat?func=search&query=sysid:139096316 AB - Single case experimental designs (SCEDs) are a commonly used type of methodology to assess the effect of an intervention in applied and clinical research fields. However, there are several issues to address when using SCEDs. One of the most common issues are those of the use of effect-size estimates, which are mostly used for designs involving group interventions. Another issue is the lack of uniform guidelines that are strictly adapted, to ensure the internal validity of such experiments. Shadish and Sullivan (2011) reviewed SCEDs in 2008 to map out these issues and to suggest future research directions within the domain of outcome studies. In this article we replicated the research of Shadish and Sullivan (2011) for SCEDs in 2013, by which we are able to compare the changes in the field of SCEDs since their publication provided a description of SCEDs in 2008. By using the same variables as Shadish and Sullivan (2011), valid comparison is made possible. We reviewed 1,711 empirical articles to locate SCEDs, which we then filtered based on inclusion criteria. This yielded 137 SCEDs which were each coded for article number, case number, dependent variable, journal and type of study. Further we coded for design type, direction of dependent variable, metric of dependent variable, same or different response opportunities and number of phases. Next we extracted data points for each individual case and assigned phase number and type of phase (baseline, treatment or maintenance) for each individual score. Residuals and autocorrelations were calculated. Based on these variables we want to examine the characteristics of SCEDs in 2013 and compare the changes of the field in SCEDs since 2008. First you will find an introduction to describe the current state of affairs within the single case experimental design methodology. Second, the followed procedure and manner of coding is described under the heading 'method'. The next section, 'results', gives you an overview of the general findings, while comparing these findings with the results of Shadish and Sullivan (2011). Finally, you will find the discussion section, in which the generated results, limitations and findings are discussed. We can conclude from our study that SCEDs are still a commonly used type of design within the behavioral sciences. Multiple baseline designs are the design type of preference within SCEDs. Usually a SCED includes three or four cases, while measuring between one or three dependent variables during which they try to increase a desired behavior. On average, each time series incorporates around 30 data points within four phases. Phases usually contain a baseline and a treatment phase. Journals are different in the number of cases, the number of data points per case, the number of phases per case and the number of dependent variables used. The assembled data base for this study has diverse possibilities. In the current study we made an attempt to describe the characteristics of SCEDs in 2013. ER -