Review session II PSYC 217 Nov 28, 2008 Conny Lin

Announcement 002 Research Reflection report is due TODAY I will be away from Dec 2 nd -10 th – Will answer – If you need to see a TA in person, make an appointment with Even Ardiel or Dilys, the TA from section Cover: Factorial design, Type I and Type II error The slides will be posted online ASAP.

Announcement 004 Research Reflection report is due TODAY. Cover: Factorial design, Type I and Type II error This review session is only 5-10min due to the amount of questions I get before deadline. The slides will be posted online ASAP.

Some Terminology “correlation” – Statistically, it refers to the Pearson r correlation coefficient “relationship” – a descriptive term – The direction of the correlation – Positive = + correlation coefficient – Negative = (-) correlation coefficient – no relationship = 0 “Interaction” – Factorial design

Factorial design Variables – IV #1 = the brand of your shoes – IV #2 = Your gender – DV = how fast you can run Levels of variables – IV #1 – Nike, Adidas, Aldo 3 levels – IV #2 – male, female 2 levels ? X ? Factorial design? – 3 x 2

Factorial design how does a line graph or a bar graph works for a 2x3 factorial design and how do you find the main effect and interaction? Example: Musical instrument preference by boy or girl interaction

Factorial design how does a line graph or a bar graph works for a 2x3 factorial design and how do you find the main effect and interaction? Example: Musical instrument preference by boy or girl Simple main effect of gender Simple main effect of instrument

Type I & Type II error Null Hypothesis (H 0 ): – A is not different from B, α > 0.05 Type I error: – reject H o (A is different from B), but it’s wrong – Probability = α, often 0.05 Type II error: – accept H o (A is not different from B), but it’s wrong – Probability = β α level Sample size Effect size

Questions come to talk to me & Hand in your Research reflection report now Electronic copies NOT accepted