PPT-Chapter 8. Experimental Design II: Factorial Designs

Chapter 8 Experimental Design II Factorial Designs Chapter Objectives Describe factorial designs using a standardized notation system 2x2 3x5 etc and place data accurately into a factorial matrix to calculate row and column means. within block Must do some sort of incomplete block analysis If you do not certain eects confounded Confounding two eects are indistinguishable May sacrice certain eects thought to be small design makes setup simple 241 Confounding in with only 2 blo 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). . design. Experimental. . design. Outlines. . What is an . experiment?. Controlling the experiment. Design . categories (Experimental, Quasi-experimental and Ex Post Facto). Comparison. Meta analysis. Full Factorial Disadvantages. Costly (Degrees of freedom wasted on estimating higher order terms). Instead extract 2. -p. fractions of 2. k. designs (2. k-p. designs) in which. 2. p. -1 effects are either constant 1 or -1. Part I: Experimental Designs. . Hypotheses. A hypothesis is a . testable. statement of . causal relationship. between two . variables. , derived from . theory. Must specify a relationship between an . 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 . So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . So, the basic experimental procedure in social science is:. Gathering of a subject pool and then . random assignment to conditions. Note: the . sample is not random. , but once you have a subject pool you flip a coin, etc. to determine which subjects receive which . Dr. Chris L. S. . Coryn. Kristin . A. Hobson. Fall 2013. Agenda. Course overview. Introductions. Course pretest examination. Discussion . and questions. Course Material. Website. http. ://www.wmich.edu/evalphd/courses/eval-6970-experimental-and-quasi-experimental-designs-for-applied-research-and-evaluation. The . MetaLab. , . Wellcome. Centre for Human Neuroimaging. With thanks to:. . Mona . Garvert. Sara Bengtsson. Christian Ruff. Rik. Henson. Goal. The BOLD signal does NOT provide you with an absolute measure of neural activity. f a 1W E00 t flff 9if r 0uum aift wo M 4Mt MOMMan Ieuo 0A tumem a fl -imOwm or a UWl twt of Pna i M 1 f Oiro s ontenNoaU6 ammmwm I 011 AGNCY US ONLY Lewd WNWr 2 REPORT OAT 3 RIPOaT TYPI AND OATES C IV External Validity Dr. Chris L. S. . Coryn. Kristin . A. Hobson. Fall 2013. Agenda. Basic design elements and notation. Quasi-experimental designs that either lack a control group or lack pretest observations on the outcome.