7 Variables & Hypothesis Testing Flashcards

1
Q

variable

A
  • 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
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2
Q

3 components of a variable

A
  • 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
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3
Q

categories of variables in voter behaviour research

A
  • characteristics
  • actions
  • attitudes
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4
Q

characteristics

A
  • include age, income, education level, gender, religious affiliation
  • assessing such (sociodemographics) of respondents is important since they influence political attitudes
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5
Q

actions

A
  • 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
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6
Q

attitudes

A

include support/opposition to same-sex marriage, level of moral traditionalism, or level of market liberalism

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7
Q

characteristics of a hypothesis

A
  • 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
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8
Q

null hypothesis

A
  • 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
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9
Q

the main objective of research

A
  • 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
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10
Q

all hypotheses must have

A
  • identification of a dependent variable
  • identification of an independent variable(s)
  • statement of a relationship between the dependent variable and independent variable(s)
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11
Q

dependent variable

A
  • 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
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12
Q

independent variable

A
  • 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
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13
Q

scatterplot

A
  • 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
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14
Q

types of relationships between the IV(s) and DV

A
  • positive
  • negative
  • no correlation
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15
Q

positive relationship

A

when both IV and DV go up or down together (when they go in the same direction at the same time)

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16
Q

negative relationship

A

when a higher value of one variable tends to result in a lower value of the other (when they go in diff directions)

17
Q

no correlation

A

there’s no discernible relationship between the two variables

18
Q

hypothesis testing

A

allows the researcher to observe two things, hypothesize a causal relationship between them, and actually observe if it exists and what kind