Types of Variables
Variables that can only take on a finite (limited) number of attributes.
What are categorical variables?
At this level of measurement, data are classified into mutually exclusive and mutually exhaustive categories and they also have a fixed order.
What is ordinal?
This hypothesis says that there will be no relationship between variables.
What is the null hypothesis?
A special type of dichotomous variable that expresses numbers using only two digits--0 and 1.
What is a binary variable?
At this level of measurement, variables have arithmetic and mathematical meaning, but there is no zero point.
What is interval?
When a researcher concludes that there is no relationship between two variables when there really is one.
What is a Type 2 Error (false negative)?
A type of statistical analysis used to determine if there is a relationships between two variables only.
What is bivariate analysis?
The level at which a variable is measured helps us to determine ____________in the data analysis process.
What is the appropriate inferential statistical test?
Systematic distortion of a sample that results from the sampling method employed by the researcher.
What is sampling bias?
Unmeasured variables that are present in the environment that can impact the true relationship between the independent and dependent variable in a research study.
What are confounding variables?
GRE scores are an example of this level of measurement.
What is interval?
This type of hypothesis says that two (or more) variables will be related, but does not predict the direction of the relationship between those variables.
One is one-tailed hypothesis?
A variable that can take on only two possible values.
What is a dichotomous variable?
This level of measurement has a true zero point.
What is ratio?
The natural tendency of all samples—especially smaller ones—to differ from the population from which it was drawn.
What is sampling error?