Interteaching: Types of prep guide questions and their effect on student quiz performance

Although previous research indicates that interteaching is an effective alternative to more traditional teaching approaches, not many component analyses of the method exist. For example, although researchers have shown that the prep guide component contributes to the effectiveness of interteaching, no research has directly examined how the content of the prep guides affects learning. The current lab-based study investigated whether having prep guides consisting of lower-level or higher-level questions impacted students’ subsequent quiz performance. We found no significant differences in quiz performance between the two conditions, but several extraneous factors may have impacted the results

Exploring the Effectiveness of Multiple-Exemplar Training for Visual Analysis of AB-Design Graphs

In behavior analysis, data are usually analyzed using visual analysis of the graphed data. There are a wide range of methods used to visually analyze data, from a basic ‘textbook’ style approach to the use of visual aids, decision-rubrics, and computer-based approaches. In the literature, there have been some comparisons of the efficacy of different approaches. Visual analysis as a behavior can be taught using a variety of methods, independent of how the skill itself is to be performed. Teaching methods include lecture, online instruction, and equivalence-based instruction. There is not much research on the teaching of visual analysis specifically, though there are a wide range of behavioral teaching approaches to choose from. Finally, there are a variety of methods for assessing visual analysis, from interrater reliability to different measures of accuracy, to signal detection theory. Advantages and disadvantages of assessment methods, as well as additional assessment methods from other areas of psychological and behavior analytic research are discussed. The present study used an adapted form of multiple-exemplar training to train naïve participants how to visually analyze graphs. Different aspects of the training were systematically manipulated to examine their effects. The naïve participants’ performance was compared to that of machine learning algorithms which were trained using similar methods, as well as to the performance of experts. Participants’ visual analysis decisions are discussed in terms of interrater reliability, different measures of accuracy, signal detection theory, and functional measurement

The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.

In an era of mass migration, social scientists, populist parties and social movements raise concerns over the future of immigration-destination societies. What impacts does this have on policy and social solidarity? Comparative cross-national research, relying mostly on secondary data, has findings in different directions. There is a threat of selective model reporting and lack of replicability. The heterogeneity of countries obscures attempts to clearly define data-generating models. P-hacking and HARKing lurk among standard research practices in this area.This project employs crowdsourcing to address these issues. It draws on replication, deliberation, meta-analysis and harnessing the power of many minds at once. The Crowdsourced Replication Initiative carries two main goals, (a) to better investigate the linkage between immigration and social policy preferences across countries, and (b) to develop crowdsourcing as a social science method. The Executive Report provides short reviews of the area of social policy preferences and immigration, and the methods and impetus behind crowdsourcing plus a description of the entire project. Three main areas of findings will appear in three papers, that are registered as PAPs or in process