412 Statistics Flashcards
1
Q
descriptive statistics
A
- characterizing a data set using measures of central tendency (mean, median, mode) and of spread (variance, standard deviation)
2
Q
inferential statistics
A
- using data from a sample to infer things about a corresponding population
- must estimate whether the observed data is random or if it can be extended to apply to the population
3
Q
p-value
A
- probability of obtaining a difference as big as the one observed when there is actually no difference (under the null hypothesis)
- cutoff is typically .05
4
Q
stats to observe the difference between groups
A
- t-tests (two groups)
- ANOVA (more than two groups)
5
Q
stats to observe whether two continuous variables are related to each other
A
- correlation (r)
- no causality
- null hypothesis: r=0
6
Q
stats for more than two variables
A
- one outcome variable and more than one independent variable
- multiple regression - unique contribution of each IV on the DV while controlling for the other IV
7
Q
risk factor
A
increase the chance of a negative outcome
8
Q
protective factor
A
- decrease the chance of a negative outcome (can be less of a bad thing or more of a good thing)
- four type: protective, protective-stabilizing, protective-enhancing, protective-reactive
9
Q
protective-stabilizing factor
A
- keeps you at the same level while exposure to risk increases (works at all levels of risk, not just low-risk)
- facing increasing bullying, but peer relationships are acting as a protective-stabilizing factor = well-being is unaffected
10
Q
protective-enhancing factor
A
- works even better when risk exposure increases
- competitiveness: outcomes are even better as you’re put under more pressure/stress
11
Q
protective-reactive factor
A
- it works, but its positive effects become less strong as exposure to risk increases (not the same decrement/flatter drop as a regular protective factor)
- listening to music will work well under low stress, but won’t help very much under extreme stress
12
Q
main effect
A
- association between IV and DV
13
Q
interaction/moderation
A
- the association between an IV and the DV depends on the value of the other IV
- relationship changing as a function of the third variable
- effect of gender on depression gets larger as puberty continues (bigger and bigger gender differences in rates of depression)
14
Q
mediator variables
A
- impact the process/mechanism/means through which a variable produces a particular outcome (explains why two other variables are related to each other)
- can be partial or full mediation (no direct relationship leftover after you account for the mediator)
- indirect effect: IV is indirectly associated with DV through [mediator]