PPT-Factorial

ANOVA More than one categorical explanatory variable STA305 Spring 2014 See last slide for copyright information Optional Background Reading Chapter 7 of Data analysis with SAS 2 Factorial ANOVA. 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 ANOVA. More than one categorical explanatory variable. Factorial ANOVA. Categorical explanatory variables are called . factors. More than one at a time. Originally for true experiments, but also useful with observational data. No numbers!. Research design explained. This tutorial is based on the example study described on page . 467 . of . Research . design . explained. .. This tutorial is based on the example study described on page . 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. 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. The Power of . the Recursive Algorithms. Data Structures and Algorithms. Telerik Software Academy. http://academy.telerik.com. . Table of Contents. What is Recursion?. Calculating Factorial Recursively. Module . 5. Experimental . psychology . guided-inquiry learning. Module 5: Single Factor Designs vs. Factorial Designs. ©2012, . Dr. A. Geliebter & Dr. B. Rumain, Touro College & University System. 4. Main Effects. Overview. What is a factorial design?. What is a main effect?. How can one determine the number of factors, levels, conditions, and main effects present in a study?. Reminder. Make sure get an APA style manual ASAP. Factorial Essentials. Factorial design = more than one IV. IVs referred to as “factors”. Identifying factorial designs. Notation system. Digits represent IVs. Numerical values of digits represent the # of levels of each IV. 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 . UNC Chapel . Hill. Data Structures . and Analysis. (COMP 410). 0. . data . (. types, simple information. ). 1. . data storage . (. variables, assignment. ). 2. . data retrieval . (. expressions, evaluation. Chapter 13 Recursion Recursive Solution A recursive solution solves a problem by solving a smaller instance of the problem. Example How do we go about looking for a word in a dictionary? Two methods Recursion For some problems, it’s useful to have a method call itself. A method that does so is known as a recursive method. A recursive method can call itself either directly or indirectly through another method. Tail Recursion. Recursion – Recursive Calls to a Function. To review a topic you should have covered, recursion in programming is the act of a function or procedure calling itself or otherwise making use of itself in its definition..