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]
Welcome to Seeing Statistics 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.
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 3.1.9.3 for Mac OS X 10.7 to 10.13 (about 2 MB).
Universität Düsseldorf: G*Power 17 March 2020 - Release 3.1.9.7 Windows Changed the behavior of the “X-Y plot for a range of values” which allowed plotting graphs after changing input parameters in the main window without hitting the “Calculate” button which, however, is required to update the “X-Y plot for a range of values” with the new input parameters from the main dialog. 21 February 2020 - Release 3.1.9.6 Mac and Windows Fixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly. Fixed a bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty. 14 January 2020 - Release 3.1.9.5 Mac Fixed a bug that caused the “Options” button (which is available for some tests in the main window) to disappear when “Hide distributions & control” was selected. 6 February 2019 - Release 3.1.9.4 Fixed a bug in t tests: Linear bivariate regression: One group, size of slope. 7 July 2017 - Release 3.1.9.3 Mac and Windows:
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.)
Gapminder: Unveiling the beauty of statistics for a fact based world view. Accessing Real Statistics Tools On this webpage we present a number of ways for accessing the Real Statistics data analysis tools. Ctrl-m You can access the dialog box which lets you choose one of the Real Statistics data analysis tools by pressing Ctrl-m. For those of you who use the keyboard shortcut Ctrl-m for some other purpose, you can disable Crtl-m from being used as a way to display the dialog box for Real Statistics data analysis tools. To disable Ctrl-m, press Alt-F8 (or select View > Macros|Macros). Add-Ins ribbon A menu item has been added to Excel’s Add-Ins ribbon which provides access to the Real Statistics data analysis tools. If the Add-Ins ribbon is not visible it will appear automatically. Quick Accesss Toolbar In Excel 2007, 2010 and 2013 you can also access the Real Statistics data analysis tools via the Quick Access Toolbar (QAT), which is shown in the upper left hand corner of Figure 1 of Excel User Interface. Figure 1 – Customize Quick Access Toolbar Figure 2 – Double click on Menu Commands
Free Download Click on an icon below for a free download of either of the following files. Real Statistics Resource Pack: contains a variety of supplemental functions and data analysis tools not provided by Excel. These complement the standard Excel capabilities and make it easier for you to perform the statistical analyses described in the rest of this website. Real Statistics Examples Workbooks: four Excel workbooks can be downloaded for free, which contain worksheets that implement the various tests and analyses described in the rest of this website. Real Statistics Analysis using Excel books: Eventually you will be able to purchase books that will contain information that is similar to what you find on the website. MegaStat: Free Download and Tutorials Click the link below to download the MegaStat software. There is both a Windows and Mac version available for download, and the required files are packaged as a ZIP file. After saving the file to your hard drive, decompress it using one of the many utility applications available for both Windows and Macintosh computers. MegaStat Software Install - Windows 8 VersionMegaStat Software Install Package - Windows Vista or Windows 7 and Excel 2007 or 2010 VersionMegaStat Software Install Package - Mac Version Mac Version User Guide (PDF) Click the links below to view the tutorial videos for MegaStat. Internet Explorer users will require the free Adobe Flash Player to view the videos, modern browsers such as Firefox and Chrome will not require the Flash player.
Ph.D. Realities: The Dissertation Mentor: Blog Index C. 2 (literature related)