Introduction to One-way Analysis of Variance Flashcards

Have you just covered the introduction to a one-way analysis of variance? If you had a hard time understanding them in class, then these flashcards may offer you a quick way to learn what differences are and how to note them in different types of data. Take your time in each card and read it as many times as you need until you understand it.

22 cards   |   Total Attempts: 188
  

Cards In This Set

Front Back
Have 1 independent variable with 3 or more levels (basically just an extension of 2 group designs)
Multiple group designs
2 conditions when choosing a multi-group design
1. will the addition of an extra group potentially provide meaningful, interesting, information? 2. Is it feasible to add additional group?
Each additional group ___ the number of participants we will need
Increases
What is the difference between 2 group designs and multi group designs?
Do not always have to compare 2 or more experimental groups to a control, you could compare different amounts of IV and could have "apple, oranges, pears" comparisons
Multi-group designs can be
Experimental or ex post facto
When would you need to use an ANOVA
- your independent variable (IV) is continuous - you have 3 or more groups
A hypothesis-testing technique used to compare means from three or more populations
One way analysis of variance (ANOVA)
What will always be the null hypotheses
All population means are equal
What will always be the alternative
At least one of the means is different from the others
What is ANOVA
- variability due to IV - variability due to error
What does some variability due to error include.
- individual differences - measurement of error - extraneous variables
In this case what does error mean.
Refers to any variability NOT due to IV
In F = between- groups variability / witin groups variability. What does "between- groups variability" stand for?
- variability due to IV & variability due to error
In F = between- groups variability / witin groups variability. What does "within groups variability" stand for?
Variability due to error
Error between and within groups should be ___ assuming the study isn't compounded
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