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Related:  Quantitative Methodology (Research Inquiry Mindset, RIM)

Sensemaking In information science the term is most often written as "sense-making." In both cases, the concept has been used to bring together insights drawn from philosophy, sociology, and cognitive science (especially social psychology). Sensemaking research is therefore often presented as an interdisciplinary research programme. Sensemaking and information systems[edit] Dervin (1983, 1992, 1996) has investigated individual sensemaking, developing theories underlying the "cognitive gap" that individuals experience when attempting to make sense of observed data. After the seminal paper on sensemaking in the Human-Computer interaction field in 1993,[1] there was a great deal of activity around the understanding of how to design interactive systems for sensemaking. Klein et al. (2006b) have presented a theory of sensemaking as a set of processes that is initiated when an individual or organization recognizes the inadequacy of their current understanding of events. In organizations[edit]

Comment Welcome to Seeing Statistics Comment It's (Beyond) Time to Drop the Terms Causal-Comparative and Correlational Research It's (Beyond) Time to Drop the Terms Causal-Comparative and Correlational Research in Education Burke Johnson University of South Alabama Instructional Design & Development Program Abstract Presentations of causal-comparative and correlational research methods in educational research textbooks are critiqued. The first major contention in this paper is that, ceteris paribus, causal-comparative research is neither better nor worse than correlational research in establishing evidence of causality. What is the Issue? Authors of several popular educational research methods books make a distinction between two nonexperimental methods called causal-comparative research and correlational research (e.g., Charles, 1995; Fraenkel & Wallen, 1996; Gay, 1996; Martella, Nelson, & Marchand-Martella, 1999). Charles (1998) says, "Causal-comparative research strongly suggests cause and effect..." To illustrate the point about variable scaling, consider the following example. Figure 1. Conclusion References 1.

Google Translate Universität Düsseldorf: G*Power G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses. Whenever we find a problem with G*Power we provide an update as quickly as we can. We will inform you about updates if you click here and add your e-mail address to our mailing list. If you use G*Power for your research, then we would appreciate your including one or both of the following references (depending on what is appropriate) to the program in the papers in which you publish your results: Faul, F., Erdfelder, E., Lang, A. Faul, F., Erdfelder, E., Buchner, A., & Lang, A. To report possible bugs, difficulties in program handling, and suggestions for future versions of G*Power please send us an e-mail. By downloading G*Power you agree to these terms of use: G*Power is free for everyone. Download G*Power for Mac OS X 10.7 to 10.13 (about 2 MB).

Comment Universität Düsseldorf: G*Power Comment Penn State: Welcome to STAT 501 Online Tutorials Printer-friendly version We hope that you enjoy this course and have a good semester. This is the STAT 501 online course materials website. There are lots of examples, notes, and lecture materials on this website. Featured on this site are the online notes on Regression Methods reorganized and supplemented by Dr. In addition, in the Resources section, there are Worked Examples Using Minitab that demonstrate how to perform many of the methods used in regression and Video Resources containing instructive examples. ANGEL is the other course website that will support our work in this course. ANGEL is where you will find the course syllabus, schedule, any annoucements, weekly work assignments, exams and the dropboxes for these assignments and exams as well. Once again, welcome to STAT 501! (All images used in this course site are obtained from the public domain unless indicated otherwise.)