Basic Terms
Causality
Research
Design
More Terms
Even More
Terms
100
the science of collecting, organizing, analyzing, interpreting, and presenting data
What is statistics?
100
3
How many conditions are there to infer causation?
100
Non-experimental, Experimental, Quasi-experimental
What are the three types of research design?
100
Data set over an amount of time
What is time series data?
100
N, mu, parameters, sigma
Describe a population.
200
set of data drawn from a population
What is a sample?
200
Type of research design that can have all of the conditions of causality
What is experimental design?
200
Do not manipulate independent variable
What is non-experimental design?
200
Data set for one specific time
What is cross-sectional data?
200
n, statistics, X-bar, s
Describe a sample.
300
group of all items of interest
What is a population?
300
Described as IV has to come before DV
What is Cause before effect?
300
Manipulate the IV but does not have random assigment
What is Quasi- experimental design?
300
values are described by words rather than #’s
What is categorical data (qualitative)?
300
Yes or no, answers coded (Boys=1, Girls=2)
What is nominal data?
400
Mean, median, mode
What is descriptive statistics?
400
Manipulate IV and has random assignment
What is experimental design?
400
data type that measures a value
What is numerical data (quantitative)?
400
rank or order have meaning but not clear
What is ordinal data?
500
using sample data to draw conclusions from larger data
What is inferential statistics?
500
Cause has to be before the effect, Must be a significant statistical relationship, Rule out alternative explanation
What are three conditions to infer causality?
500
Numerical data that is in decimals and fractions
What is continuous data?
500
numerical data that is whole #’s or integers (no decimals or fractions)
What is the discrete data?
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