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Lecture 5

Lecture 5 - Jan 23.doc

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McGill University
PSYC 305
Heungsun Hwang

PSYC305 Lecture 5 - Jan. 23 Terminology Used in an Experiment: • Independent variable (IV) • Called a factor • One-factor/Two-factor experiments • Levels = the different values or categories of the independent variable/factor • Single-factor Experiments • Involve a single IV with two or more levels • One-way independent-groups design • One-way design with repeated measurements • Factorial Experiments • Involve more than one independent variable with two or more levels • Two-way independent-groups designs • When an experiment has two factors with two levels each, it is called a 2 x 2 experiment One-Way ANOVA: • Purpose: • To test whether the means of k (≧ 2) populations significantly differ • H 0 µ1 = µ2 … = µk H : Not all µ’s are the same (at least one of the means is different) • 1 • Example: One-Way ANOVA • The statistics classroom is divided into three rows: front, middle, and back • The instructor noticed that the further the students were from him, the more likely they were to miss class or use an instant messenger during class • He wanted to see if the students further away did worse on the exams • DV = Exam score • Factor (IV) = Class row • Three levels: front, middle, and back • H 0 µ1 = µ2 = µ3 • H 1 Not all µ’s are the same • Prior Requirements/Assumptions: The population distribution of the dependent variable is normal within each group • • The variances of the population distributions are equal (homogeneity of variance) • Independent of observations One-Way ANOVA: Basic Concepts • ANOVA = ANalysis Of VAriance • Divides the variance observed in data into different parts resulting from different sources; • Assesses the relative magnitude of the different parts of variance; and • Exa
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