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Paired Sample t test
One Way ANOVA
Reliability & Validity
Factorial ANOVA
Repeated Measures ANOVA
100
True or false: Paired sample t tests are used to determine whether the mean difference between two sets of observations is zero
What is true
100
ANOVA stands for what
What is analysis of variance
100
low correlation between your scale and measures that theory suggests should not be related to it
What is discriminant validity
100
Factorial ANOVA has 2 or more _______ ___________.
What is independent variables
100
True or false: repeated measures is also known as a between subjects ANOVA.
What is false. repeated measures is also known as a within subjects ANOVA.
200
Another name for paired sample t test
What is dependent sample t test
200
Used to compare means between ____ or more groups
What is 3
200
An individual’s score on a test should remain stable over multiple administrations. (Assuming the construct of interest is theorized to remain unchanged over time).
What is reliability
200
True or false: you evaluate main effects if your interaction is significant.
What is false. You evaluate simple effects if your interaction is significant.
300
True or false: it can only be used to compare two related units on a categorical outcome that is normally distributed.
What is False. It can only be used to compare two related units on a continuous outcome that is normally distributed
300
Independent variable that is responsible for the variation in the data
What is factor
300
Type of reliability that involves items within a measure
What is Cronbach's alpha
300
When looking at a graph, what signifies a significant interaction?
The lines are crossing or are going to cross.
300
Repeated measures ANOVA is used for measurement over ____ or over ______ ________.
What is time or various conditions
400
Describe the difference between paired sample and independent sample t test.
Paired sample: Two means typically represent two different points in time or two different but related conditions or units. Independent sample: means are completely independent of each other.
400
What does the F ratio tell us?
What is The ratio of how much variability there is between the groups relative to how much there is within the groups. Treatment effect is size of difference in means.
400
Observed score = Individual’s true score on a construct + error
What is classical test theory
400
___ ____ _____ are used for follow-up of main effects.
What is post hoc tests
400
Test used to assess sphericity
What is Mauchly's test
500
Name 3 of 5 data requirements of paired sample t tests
Dependent variable is continuous (i.e. interval or ratio) The paired measurements must be recorded in two separate variables Related samples/groups Random sample of data from the population Normal distribution of the difference between the paired values No outliers in the difference between the two related groups
500
The reason we don't just use multiple t tests. The increased risk of Type I error with multiple separate statistical tests.
What is Familywise error
500
Part of the conceptual criterion that is not captured by operationalization of the construct
What is deficiency
500
The simple effects tell us this.
What is the effect of each independent variable at individual levels of the other independent variable.
500
When Mauchly's test is violated and ε < .75 use this correction.
What is Greenhouse-Geisser correction