Chapter 1: Basics Flashcards
Reliability and Precision
The degree to which that results are consistent
Validity and Accuracy
Wether an instrument actually measures what it sets out to measure
correlational or cross-sectional research
Observing the natural world without directly interfering with it
experimental research
when you manipulate one variable and see its effects on another. Done in a controlled environment.
continuous data
Data that is infinite, meaning that the precision allows it to be more and more specific depending on the instrument being used
discrete data
data with a finite amount. Usually a mutually exclusive count (ex. Landing dice or a number of eggs)
nominal data
qualitative data is categorical (think names) and it can’t be ordered or manipulated mathematically
ordinal data
qualitative data that can be ordered but apart from that, their ordering does not give other inherent meaning or information (places during a race only tell you about the order in relation to one another) and doing math operations on them is meaningless.
interval data
Their ordered differences are meaningful but the zero is arbitrary not natural. (ex: 0 on a temperature scale doesn’t mean there’s no temperature)
ratio data
Similar to interval data in the sense that it’s order is inherently meaningful but it has a natural zero. (ex: money, if you have zero dollars in your bank account that means you got no money bud)
what are the four levels of measurement?
nominal, ordinal, interval, and ratio
parameters
Talks about a characteristic within a sample or population
what is ANOVA
Analysis of Varianca
random
every entity in the population has equal chance of being chosen, selected, or occuring
