1. 05 EXPERIMENTAL RESEARCH 1 INTRO David Peterzell 11-7-12 Research Methods & Design


    from David H Peterzell Added 39 0 0

    Lecture 5 from Research Methods & Design Course

    + More details
    • Class 8: Design and analysis of experiments (class 2 of 3)


      from Kevin Dunn Added 221 0 0

      In this class we start by completely analyzing the data from a 3 factor factorial. We consider next how to determine which effects are significant from a factorial: 3 ways are shown, including how to refit the model. Before moving on we show why the COST approach is sub-optimal to the factorial approach. In the next half of the class we show how to deal with two important aspects: blocking and fractional factorials. Blocking is used to counteract a known disturbance, while fractional factorials are used to obtain similar results to a full factorial, but with a fewer number of runs.

      + More details
      • Sign of Time 5 Get Kinected in Pakhuis de Zwijger


        from jerry lieveld Added 19 0 0

        Merging connected technology with good design. Together with guest curator DARE TO DIFR, this night we'll explore how. Speakers: ao Jerry Lieveld (DARE TO DIFR) and Ben Lower (Microsoft, Kinect Developer Community Manager) and Edwin Jakobs from LUSTlab. http://dezwijger.nl/signoftime5 http://difr.co

        + More details
        • Erudīcijas konkurss "eXperiments"


          from Katrīna Added 351 0 0

          Latvenergo koncerna erudīcijas konkursa "eXperiments" finālā, 2011.gada 7.maijā, tikās Māteru Jura Kazdangas pamatskolas komanda "Zibšņi", Gulbenes 2.vidusskolas komanda "Voltiņš", Auces vidusskolas komanda "Kāpostiņi", Aglonas vidusskolas komanda "Smaidīgie Omi" un Rīgas 94.vidusskolas komanda "Potenciāls".

          + More details
          • Kevin Warwick - The Cyborg Experiments


            from Richard Prins Added 957 4 0

            Kevin Warwick is an internationally renowned Professor and researcher in the field of Cybernetics from the University of Reading, England. His work in the areas of Artificial Intelligence, human control functions, robotics and cybernetic organisms presented here shows how implant and electrode technology can be used to create biological brains for robots, to enable human enhancement and possible therapeutic effects for neurological illness. In any case, the end goal is human enhancement, or “transhumanism”, which inevitably stirs up many social, ethical and philosophical questions. From: http://bit.ly/bD48Uv

            + More details
            • LISA Short Course: Introduction to Design and Analysis of Experiments


              from LISA Added 317 0 0

              LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data. September 20, 2011 Introduction to Design and Analysis of Experiments Instructor: Jonathan Stallings Across all disciplines, the ability to test theories by experimentation is vital for validation and discovery. When designing an experiment, the researcher hopes to maximize the obtained information by reducing wasted resources and allocating treatments in such a way as to minimize variances. Ideally, a design will account for major sources of variation so that the researcher can be confident the effects of treatments are not confounded with some extraneous factor. In this course, the basic principles of experimental design will be given and specific designs discussed. The first designs introduced will be completely randomized designs, the most straightforward design when a researcher wants to test for differences amongst multiple treatments. Optimal blocking strategies will then be presented as a variance-reducing technique, e.g. perhaps the researcher feels a subject's gender may significantly affect observations. For each design we will discuss implementation, appropriate analysis and provide examples in SAS. If time permits we may also introduce more complicated designs tailored specifically to the researchers attending the course. Please visit this course's webpage for course files (http://www.lisa.stat.vt.edu/​?q=node/​2804)

              + More details
              • Class 7B: Design and analysis of experiments (class 1 of 3)


                from Kevin Dunn Added 284 0 0

                We start this section on design and analysis of experiments by considering how to analyze data when only one experimental factor is changed. Next we show that if there are more than 1 factor that affects our experiment, why we must vary these factors simultaneously. Changing only one variable at a time leads to sub-optimal solutions. Finally we show how to vary the factors in a factorial design. Class 8 and 9 will continue on from this point.

                + More details
                • Predicting the quality of a survey question from its design characteristics


                  from Daniel Oberski Added 177 0 0

                  Invited talk at the National Center for Health Statistics (NCHS), Centers for Disease Control in Hyattsville, Maryland, October 2011. Speaker: Daniel Oberski, PhD (University of Maryland, College Park) Introduction: Aaron Maitland, PhD (NCHS) Slides are at: http://daob.org/media/homepage/files/Oberski-NCHS-2011.zip Abstract It is well-known that design characteristics of survey questions such as the number of categories, full versus partial labeling of answer scales, the linguistic complexity of the request, etc. can influence the response obtained. Although each question's design must be tailored to the intended measure, there is also evidence that some question designs are better than others in general (Dijkstra & van der Zouwen 1982, Alwin & Krosnick 1991, Alwin 2007). I report on the findings of several large cross-national surveys where the response reliability and validity of 3011 questions could be estimated from built-in Multitrait-Multimethod (MTMM) experiments. For each of the 3011 questions analyzed, many design characteristics were coded by a team of coders. These codes for design characteristics were then related to the estimated reliabilities and validities in a predictive meta-analysis (see Saris & Gallhofer 2007 for an early analysis of a much smaller dataset). I built the predictive meta-analysis and coding scheme into an online web application called "Survey Quality Predictor" (SQP2). SQP2 provides a forecast of a question's reliability based on its design characteristics. In the talk I will discuss the approach taken to estimate the reliability and validity of survey questions, some results of the predictive meta-analysis, and demonstrate the alpha version of the new computer web application SQP2. The demonstration shows how a given survey question may be coded on its design characteristics to obtain an estimate of its reliability and internal validity.

                  + More details

                  What are Tags?


                  Tags are keywords that describe videos. For example, a video of your Hawaiian vacation might be tagged with "Hawaii," "beach," "surfing," and "sunburn."