7 Variables & Hypothesis Testing Flashcards
variable
- the observable characteristics of a phenomena that can take on more than one value and come from specific observations and measurements of a concept
- represents a value that can be observed, measured, and changed, and is attached to a concept(s) to measure it/them usually based on similarities
3 components of a variable
- product of an observation (all variables are rooted in observation, which can take on many forms)
- measurement of a concept (can be tricky, since you have possible disagreements over concepts)
- has values that can vary when measured
categories of variables in voter behaviour research
- characteristics
- actions
- attitudes
characteristics
- include age, income, education level, gender, religious affiliation
- assessing such (sociodemographics) of respondents is important since they influence political attitudes
actions
- include voting for a specific party, signing a petition, attending a protest, not voting
- social desirability bias could make ppl lie about their actions, but we assume they tell the truth
attitudes
include support/opposition to same-sex marriage, level of moral traditionalism, or level of market liberalism
characteristics of a hypothesis
- an answer to a research question
- should be based on a theory to act as a bridge to observation
- contains variables based on observation
- often makes a claim of correlation (two variables change in conjunction with each other)
- will often make a claim of causality (change in one variable creates change in another)
- allows for possibility of a null hypothesis
null hypothesis
- an untrue hypothesis
- can be accepted or rejected, where rejecting it means there’s some evidence of truth to your original hypothesis
- positivists don’t reject the null but say that they have evidence it’s true
the main objective of research
- to turn theory into law, whereby it’s been proven so many times to be true
- the more replicated a theory is and the more rejected the null is, the closer it becomes to being a law
all hypotheses must have
- identification of a dependent variable
- identification of an independent variable(s)
- statement of a relationship between the dependent variable and independent variable(s)
dependent variable
- the variable whose variation the researcher is trying to explain
- often referred to as DV, y, and is on vertical axis
- usually only one DV in a hypothesis
independent variable
- what explains the observed variation in the DV or what caused the DV
- often referred to as IV, x, and always on the horizontal axis
- can be one or more IVs in a hypothesis
- several IVs that are measuring the same concept can be combined together in a single index that’s treated as a single IV
scatterplot
- each dot represents a case studied and where it ends up on scores of IV and DV
- helps understand patterns in data and see relationship between the two variables
- provides evidence to (dis)prove hypothesis
types of relationships between the IV(s) and DV
- positive
- negative
- no correlation
positive relationship
when both IV and DV go up or down together (when they go in the same direction at the same time)
negative relationship
when a higher value of one variable tends to result in a lower value of the other (when they go in diff directions)
no correlation
there’s no discernible relationship between the two variables
hypothesis testing
allows the researcher to observe two things, hypothesize a causal relationship between them, and actually observe if it exists and what kind