com 300 final study guide

# com 300 final study guide - Com 300 Exam 3 Finals Week...

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Com 300 – Exam 3 – Finals Week – Spring 2010 STUDY GUIDE Comparison of Multiple Groups - Factorial Analysis –lecture, Holzworth article Know what a factorial design is and when it is used. Factorial Design -When more than one Independent Variable is used in an experiment (often the case) Here you have the opportunity to observe everything that is going on in front of you -Example: If a study involved two independent variables, each of which have two levels, the design may be called a - 2 x 2 factorial design (if it was a 2 x 2 x 2 factorial design, it would mean there are three variables) - Factors o When variables are broken down into levels - Levels o The categories of each factor (gender, self- esteem, ethnicity, etc.). Examples of Factors and Levels Gender - Male and female (2 levels) Self Esteem - High, Moderate, Low (3 levels) What Educational Program leads to better test scores for children? Independent Variable #1 (2 levels) – Time in Instruction Level 1 – 1 hour/week Level 2 – 4 hours/week Independent Variable #2 (2 levels) – Setting Level 1 – pull out Level 2 – in class Therefore, this is a: 2 x 2 factorial design – time in instruction x setting Factorial design is all about two different variables working together But what if we added a level 3 – 7 hours/week to Independent Variable #1… Be able to recognize what kind of experimental design is used. Experimental Designs - Between – Subjects Design o Different groups of subjects randomly assigned to levels of and independent variable o Scores are averaged and analyzed between levels Just to see exactly what the effects are - Within – Subjects Design o Single group of subjects is exposed to all levels of independent variable You would have the group come in separate times to take part in each of the independent variables

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By doing this there are no confounding variables because they are the same exact group with the same exact characteristics o Scores are averaged and analyzed between levels - Single – Subject Design o Single group of subjects is exposed to all levels of the independent variable o Scores are individually analyzed between levels These are compared to everyone else Know what a main effect is. Main effects are dependent-variable effects that result from look at the independent variables separately - Is there significance when you see one independent variable working with a dependent variable? - Look at levels such as high moderate and low and to see if it makes a difference for just one independent variable MAIN EFFECT Diagram posted on SAKAI Notes: 4 scenarios are randomly assigned (top left graph) Average everyone in the group of each of the different scenarios. (The averages are taken separately for each group) From this it was found that setting did not matter for the test scores, however the time mattered. If you look at the independent variable of setting by itself we realize that there is no difference,
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## This note was uploaded on 12/10/2011 for the course COM 300 taught by Professor Finnerty during the Spring '08 term at Pepperdine.

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com 300 final study guide - Com 300 Exam 3 Finals Week...

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