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Bivariate associations/correlations
an association that involves exactly two variables
Association claims are _______ not ________.
measured; manipulated
An association claim describes the relationship found between _____ __________ variables
two measured
After recording data, the next step in an association claim is to describe the relationship between the two variables using _________- and the _______ ______________ (_)
scatterplots; correlation coefficient (r)
Negative r means that the relationship is __________: high scores on one variable go with _____ scores on the other
negative
R has two qualities: _________ and __________
direction; strength
Direction refers to whether the association is...
positive, negative, or zero
Strength of r refers to how closely related the ____ _____________ are or how close r is to ____ or _____
two variables; 1; -1
r = 0.10
small, weak
r = 0.30 (or -0.30)
medium, moderate
r = 0.50 (or -0.50)
large, strong
When a variable is yes-or-no (i.e. employed? yes or no) is called a _________ variable
categorical
A categorical variable is when values..
fall in either one category or another
A quantitative variable is when both variables in an association are measured on ___________ ________
quantitative scales
Quantitative variables are best represented by/on a
scatterplot
When one or more of the variables is categorical, the researchers will plot the results as a _____________
bar graph
Bar graphs show
the average
In bar graphs you examine the difference between the __________ _______ to look for an association
average scores
When one or more variables in an association claim is categorical, researchers use 3 different statistics ___ ________, ______-_______ ___________, and/or ________ ____________
t test, point-biserial correlation, phi coefficient
The t test tests whether the difference between means is ________ _______
statistically significant
A point-biserial correlation is intended for evaluating the association between ___________ and _____________
one categorical variable; one quantitative variable
A phi coefficient is designed to evaluate the association between ____ _____________ _________
two categorical variables
An association claim is not characterized by a kind of _________ or _________
statistic; graph
An association claim is characterized by a study design in which both variables are
measured
At minimum, how many variables are there in an association claim?
2
What characteristic of a study's variables makes a study correlational?
both variables are measured
When do researchers typically use a bar graph, as opposed to a scatterplot to display correlational data?
when one of the variables is correlational
When interrogating association claims, the two most important validities to interrogate are ___________ validity and ___________ validity
construct; statistical
An association claim describes the relationship between two measured variables, so you should ask about the construct validity of ______ __________
each variable
Construct validity is how..?
well each variable is measured
When you ask about the _______ validity, you are asking about factors that might have affected the scatterplot, correlation coefficient (r), bar graph, or difference score that led to the claim
statistical
To interrogate statistical validity you need to consider the ______ ____ and _______ ________, _______ ______ or outliers, and whether a zero relationship might be ______________
effect size, statistical significance; subgroups; curvilinear
Effect size describes the __________ of the association
strength
Stronger effect size means that more ________ _________- of one variable can be made
accurate predictions
Effect sizes indicate how _________ the result is- that is a larger effect size is often considered ____ important than a small one
important; more
A small effect size can be ___________ (advil)
important
However, if not as extreme as light or death an effect size of 0.03 might be _________ in importance
negligible
Obtaining a correlation coefficient, r, establishes the direction and the strength ( _____ ______) of the relationship and determines whether the correlation is __________ ____________
effect size; statistically significant
Determining statistical significance is a process of ____________
inference
The sample's result usually ________ what is happening in the population, but not always
mimics
_______ _____ calculations helps researchers evaluate the probability that results really are zero
statistical significance
Statistical significance calculations provide a _________ _________
probability estimate (p or sig)
If the probability ( p ) associated with the result is very small—that is, less than ___%—we know that the result is very unlikely to have come from a “____-association” population.
5; zero
p = 0.05
high - nonsignificant
Statistical significance depends on _________ and __________
effect size; sample size
When p is small (under 5%) the result is __________ to have come from a zero association
unlikely
Spurious- the overall relationship is attributable only to __________ mean differences or ________- within the sample
systematic; subgroups
To analyze curvilinear relationship use a __________ model
quadratic
A quadratic model tests the correlation between one variable and the ________ of the other
square
Causal temptation is an automatic tendency to make _______ inferences from any claim we read
causal
To establish causation a study must fulfill three criteria:
covariation, temporal precedence, internal validity
Temporal precedence rule is sometimes called the _____________ problem because we dont know what variable came first
directionality
Covariance
a <---> b
Temporal precedence
a--->b or b---> a
Internal validity
a <--> c <--> b
To interrogate external validity of association claim what matters is the..
way the sample was selected
When a relationship between two variables changes depending on the level of a third variable that third variable is called a..
moderator
In correlation research, moderators can inform..
external validity

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