| Question Answer | Associative Analyses Determine where stable relationships exist between two variables. | Relationship between two variables Consistent, systematic linkage between the levels of label for 2 variables. |
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When a researcher refers to finding that a systematic relationship exists between the two variables of interest in the population he or she is referring to which relationship characteristic?
Presence
refers to the finding that a systematic relationship exists between the two variables of interest in the population, but is not a statistical issue.
What is the link between two variables?
The statistical relationship between two variables is referred to as their
correlation
. A correlation could be positive, meaning both variables move in the same direction, or negative, meaning that when one variable's value increases, the other variables' values decrease.
What is the term to show if there is a relationship between two variables?
What is
Correlation
? Correlation is a statistical technique that is used to measure and describe a relationship between two variables. Usually the two variables are simply observed, not manipulated. The correlation requires two scores from the same individuals.
What is the relationship between two variables in which the presence or absence of one variable determines the presence or absence of the other?
Positive correlation
is a relationship between two variables in which both variables move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
What does a correlation of 1 mean?
A correlation of –1 indicates a
perfect negative correlation
, meaning that as one variable goes up, the other goes down. A correlation of +1 indicates a perfect positive correlation, meaning that both variables move in the same direction together.
When there is a negative relationship between two variables it means that?
A negative, or inverse correlation, between two variables, indicates that
one variable increases while the other decreases, and vice-versa
. This relationship may or may not represent causation between the two variables, but it does describe an observable pattern.
How do you find the correlation between two variables?
The correlation coefficient is
determined by dividing the covariance by the product of the two variables' standard deviations
. Standard deviation is a measure of the dispersion of data from its average. Covariance is a measure of how two variables change together.
What is the relationship between two variables in research?
A correlation
is the measurement of the relationship between two variables. These variables already occur in the group or population and are not controlled by the experimenter. A positive correlation is a direct relationship where, as the amount of one variable increases, the amount of a second variable also increases.
How do you analyze the relationship between two variables?
When analyzing many variables, scatter plots and
correlation coefficients
can quickly uncover patterns and reduce a large amount of data to a subset of interesting relationships. Correlation describes the strength of relationship between two variables. A correlation coefficient ranges from -1 to +1.
What do positive and negative correlations say about the relationship between two variables?
A
positive correlation means that the variables move in the same direction
. Put another way, it means that as one variable increases so does the other, and conversely, when one variable decreases so does the other. A negative correlation means that the variables move in opposite directions.
What type of relationship occurs when two variables both increase or decrease together?
Positive correlation
is a relationship between two variables in which both variables move in tandem—that is, in the same direction. A positive correlation exists when one variable decreases as the other variable decreases, or one variable increases while the other increases.
When two variables change in the same direction then such a correlation is called?
A positive correlation
exists when two related variables move in the same direction. An inverse correlation exists when two related variables move in the opposite direction.
Can a hypothesis have two independent variables?
A
complex hypothesis
describes a relationship between variables. However, it's a relationship between two or more independent variables and two or more dependent variables. You can follow these examples to get a better understanding of a complex hypothesis.
What is the relationship between dependent and independent variables?
Independent variables are what we
expect will influence
dependent variables. A Dependent variable is what happens as a result of the independent variable.
What do we mean by variables being related to each other? Fundamentally, it means that
the values of variable correspond to the values of another variable, for each case in the dataset
. In other words, knowing the value of one variable, for a given case, helps you to predict the value of the other one.
