PPT-EVAL 6970: Experimental and Quasi-Experimental Designs

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Dr Chris L S Coryn Kristin A Hobson Fall 2013 Agenda Course overview Introductions Course pretest examination Discussion and questions Course Material Website

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EVAL 6970: Experimental and Quasi-Experimental Designs: Transcript

Dr Chris L S Coryn Kristin A Hobson Fall 2013 Agenda Course overview Introductions Course pretest examination Discussion and questions Course Material Website http wwwwmicheduevalphdcourseseval6970experimentalandquasiexperimentaldesignsforappliedresearchandevaluation. On Managerially Efficient Experimental Designs In most marketing experiments managerial demates of the parameters, but rather on functions of these estimates. For example, many manage-rial decisions a Part II: Cross-sectional and Quasi-Experimental Designs. Frankfort-. Nachmias. & . Nachmias. (Chapter 6 – Cross-Sectional and Quasi-Experimental Designs). Gerring. (Chapter 8). Campbell and Stanley, “Experimental and Quasi-Experimental Designs for Research.” (remainder). ANALYSIS OF PROG. LANGS. REFLECTION. Instructors: Crista Lopes. Copyright © Instructors.. Outline. History and Background . The meta-circular interpreter. Definitions. The reflective tower. Reflection as used in. MINERvA. Kevin McFarland. University of Rochester. NuINT11, Dehradun. 8 March 2011. ν. Goddess′. μ. To India . via. Indiana. Thank you to the organizers . for their efforts to allow me to attend . MathematicsSubjectClassication.54C08.Keywordsandphrases.m-structure,(;s)-continuous,-quasi-irresolute,weakly-irresolute,-quasi-irresolute,m-compact,S-closed,m-quasi-closedgraph.c\r2005MathematicaM EVALUATION WRITING . THE TRUTH, THE WHOLE TRUTH, AND . NOTHING BUT . THE TRUTH. PERIODIC REPORT ENDING DATES. E6 15 November. E5 15 March. E4 15 June. E1-E3 15 . July. (See Enclosure (1) page 11 for a . Research Objective. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . Research Objective. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. Strategy Combinators. for Compositional . Data Types. James Koppel. MIT CSAIL. Replace a statement?. Genprog. Statement-specific. 24 SLOC. Tarski. Repair. Sort generic (almost). 6 SLOC. called from a 500-line traversal. “. sideview. ” on answers. “. madscient. ” on IRC, . SplunkTrust. member.. Worked at Splunk in days of yore. . (Mad Scientist/Principal UI developer 2005-2010). Founded . Sideview. 2010. . Hariri. Introduction. Good experimental design allows you to:. Isolate effects of each input variable. Determine effects due to interactions of input variables. Determine magnitude of experimental error. Learning objectives. By the end of this presentation, you will be able to:. Explain evaluation design . Describe . the differences between types of evaluation . designs. Identify . the key . elements . Introduction to Meta-Analysis. Dr. Chris L. S. . Coryn. Kristin A. Hobson. Fall 2013. Agenda. Course overview. An overview of and brief introduction to meta-analysis. Selection of working groups. In-class activity.

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