Lectures Flashcards

(131 cards)

1
Q

Three major points of political science

A

Discovery of GENERAL laws about politics

Asking questions about the real world, answers are hypothesis’

Empirical: Test these hypotheses with data

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2
Q

Difference between Positive vs. normative theories

A

Positive: “what is”
◦ What are the causes of civil war
◦ Why do people vote the way they do

Normative: “what ought to be”
◦ Why we need Medicare for All
◦ How high taxes should be

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3
Q

Karl Popper and the black swans

A

He argued that for a theory to be scientific, it must be testable and able to be proven false.

Both Popper’s ideas and the notion of black swans highlight the limitations of knowledge and our tendency to overlook rare but consequential events.

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3
Q

Inductive vs. deductive reasoning

A

Inductive: Sherlock, start with data and do qualitative research

Deductive: Aristotle, start with a theory and do quantitative research

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4
Q

What are the 3 methods of analysis

A

Qualitative: observation, interviews, ethnography

Quantitative: frequentist statistics, Bayesian statistics, formal modeling / rational choice

Experimental: Randomized controlled trials, “Natural” experiments

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4
Q

a hypothesis should be…

A

Empirical: can be tested by data

Falsifiable: can be proven wrong

Positive, not normative: describes what is, not what ought to be

Parsimonious: simpler explanations are better than complicated ones

Generalizable: conclusion can be applied to other cases (people, countries, organizations, etc)

Explanatory: describes how X causes Y (causal mechanism)

Transmissible: others can analyze and replicate findings and come to same conclusion

Predictable: conclusion produces general rule that allows you to predict the future

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5
Q

Problems with political science research in practice:

A

◦ Survey responses
◦ Hawthorne Effect
◦ Social psychology replication crisis
◦ how to measure things like belief, feelings
◦ Likert scales
◦ 1-10
◦ Strongly agree / agree / neutral / disagree / strongly disagree

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6
Q

Falsification:

A

hypothesis that looks to prove something wrong

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7
Q

What are the 4 things you need to do to conduct political science research

A

Theory: your tentative idea about what causes what in the world

Hypothesis: statement of what you expect you will observe in the real world, if your theory is correct

Null hypothesis: what you would observe if your theory is incorrect

Hypothesis testing: systematically, empirically evaluate evidence, see if it favors the hypothesis or the null

Paradigm shift: new knowledge/Updated theory

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8
Q

The Independent variable is..

A

(X): the cause

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9
Q

The Dependent variable…

A

(Y): the outcome

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10
Q

Describe the three major periods of the development of modern political science

A

Traditional approaches (early 20th century): mostly descriptive, how government works

Social theory (mid-20th Century): turn away from description and normative theories toward empiricism: testing theories, looking for patterns, creating general rules

Behavioralism (mid-20th Century): study of individual/group political behavior

Post-behavioralism: focus more on issues with politcy making and implementation

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11
Q

Describe the Structural-functionalists (1960s)

A

Makes generalized decisions that technically can be right, but doesn’t mean its always right and thus, is wrong

Ex. Modernization Theory: as states become richer, they become more secular and democratic

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12
Q

Describe Constructivism

A

Constructivism in political science is a theoretical approach that emphasizes the importance of social constructs, identities, and norms in shaping political behavior and outcomes. Ex: liberal vs conservative, black vs white

Challenge to realism: state-based, anarchic world system

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13
Q

Describe Rational choice theory

A

individuals make decisions based on a systematic evaluation of the costs and benefits of various options, aiming to maximize their utility.
Its a structured approach to understanding political behavior, emphasizing the calculated nature of human decision-making in the political sphere.

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14
Q

Formal modeling:

A

mathematical (later computer) models to predict behavior and events

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15
Q

Describe Arrow’s impossibility theorem

A

no voting system can result in the best, most fair outcome for all. This result has profound implications for democratic voting and two party systems.

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16
Q

Median voter theorem:

A

majority rule voting system with result in outcome preferred by the median voter

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17
Q

What is the difference between a hypothesis, theory, and law?

A

theory (predict/explains/organizes GENERAL phenomena)

hypothesis (can test with data, causal, predictive)

Law (general like a theory but has served every empirical verification thus far, not found in polisci)

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18
Q

A hypothesis should:

A

Be an empirical statement aka: evidenced based (positive, not normative)

Be causal: describe a relationship and what variables cause what

Be testable (if I see this then right/wrong) and falsifiable: (open to the possibility of being wrong) could be wrong

Specify unit of analysis (individual, country, etc) and keep units consistent (avoid ecological fallacy)

Be specific (about what types of cases you are describing) but also generalizable (could lead to a theory)

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19
Q

What is the null hypothesis for this hypothesis: “If democratic peace theory is true, I expect that as a country becomes more democratic, it will go to war less often.”

A

If democratic peace theory is not true, I expect that a country becoming more democratic has no effect on how often it goes to war. (AKA: HYPOTHESIS IF THERE IS NO RELATION)

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20
Q

What is the unit of analysis, variable, casual mechanism, and measurement of this hypothesis: “If democratic peace theory is true, I expect that as a country becomes more democratic, it will go to war less often.”

A

Unit of analysis: countries
Variables: democratization (independent), war/peace (dependent)
Causal mechanism: democratization 🡪 peaceful behavior (because…)
Measurement: how democratic a country is (Freedom House, Polity scores), frequency or intensity of war

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21
Q

How do you know if a hypothesis is too narrow

A

because (avoid because because its too casual)

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22
Q

Make the following sentence more GENERALIZABLE: The United States is a democracy because its population is affluent.

A

Countries with high levels of affluence are more likely to be democracies.

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23
Make the following sentence more GENERALIZABLE: The US has more murders than other countries because so many people are gun owners.
Countries with more guns per capita are more likely to suffer more murders.
24
Make the following sentence more GENERALIZABLE: Joe is a liberal because his mother is one, too.
People are more likely to adopt the political viewpoints of their parents.
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Describe a (negative relationship)
if x goes up, y must go down
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Describe a (positive relationship)
if x goes up, y must go up
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A good hypothesis will also indicate the ______ phenomena will be measured
level Ex: Northeastern cities are more likely to have mayors while western cities have city managers. (cities) Challengers who spend more money in campaigns are more likely to beat the incumbent. (elections) The more affluent a country the more likely it will have democratic institutions (countries)
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Describe Cross sectional studies
studies a random subset of the population at one specific time
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Describe Longitudinal studies
studies same group of observations over time
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Turn this untestable hypothesis into a testable hypothesis: Children who are more obedient to authority will be less likely to engage in political dissent as adults.
People who raise their children by strict traditional standards are less likely to support political dissent
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Turn this untestable hypothesis into a testable hypothesis: People are more likely to join terrorist organizations when they are dissatisfied with their annual income
Terrorist organizations are more likely in poorer countries
32
What is a tautological argument
benal statements, not testing anything: Either it will rain tomorrow or it won’t The Senator will lose the election if he does not get enough votes If a county’s government is dismantled in civil war, that country will fail.
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Define Tautology:
logical statement in which conclusion = premise: can’t be falsified / disproven
34
A hypothesis should:
Be an empirical statement aka: evidenced based (positive, not normative) Be causal: describe a relationship and what variables cause what Be testable (if I see this then right/wrong) falsifiable: (open to the possibility of being wrong) could be wrong Specify unit of analysis (individual, country, etc) keep units consistent (avoid ecological fallacy) Be specific (about what types of cases you are describing) generalizable (could lead to a theory)
35
What is the unit of analysis in this hypothesis? Northeastern cities are more likely to have mayors while western cities have city managers.
Cities
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What is the unit of analysis in this hypothesis? Challengers who spend more money in campaigns are more likely to beat the incumbent.
Elections
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What is the unit of analysis in this hypothesis? The more affluent a country the more likely it will have democratic institutions
Country
38
What is a Cross-level Analysis
When we use data at the group level to make inferences about the individual Ex: Ecological Inference
39
Cross-sectional data
Data collected at a single point in time, allowing for the analysis of multiple variables simultaneously.
40
Time series data
Data collected over a period of time, usually at consistent intervals.
41
What is McDonald’s Peace Theory?
He supported his belief, as a theory, by stating that when a country has reached an economic development where it has a middle class strong enough to support a McDonald's network, it would become a "McDonald's country", and will not be interested in fighting wars anymore.
42
What is a Literature Review?
Summarizes and links together existing research about a given topic Evaluates and distills for the reader what researchers already know about the topic Cites already published scholarly work (books, articles) Provides context and background to introduce your own research Synthesizes what existing research is relevant to your work Inspires unanswered questions that you will address Is an essay, and tells a good story
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What do you need to establish in a Lit Review
The intended audience (Who) The potential significance (Cares)
44
What is a causal claim?
Causal claims communicate how the variation (changes) of one phenomena cause changes in another phenomena. Example: As X increases it causes Y to decrease
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What are the three types of relationships
Causal, correlative, and spurious
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Describe a correlation relationship
As X increases or decreases there is a similar increase or decrease in Y Just because X and Y are correlated does not mean the relationship is also causal
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Describe a spurious relationship
X and Y may appear to be related or even causal, but a third factor, Z, actually influences both factors.
48
The independent and dependent variables move together 🡪 They ______.
covary
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The three conditions of CAUSAL RELATIONSHIPS
covariation (seems like when one thing is affected, another thing is always affected) time order (The research must demonstrate that the cause precedes the effect) eliminating confounding factors (“Spurious” variables which may impact X and Y must be ruled out)
50
What are the four conditions for establishing a causal relationship
The variables must covary; they must change together. 🡪 Covariation Change in the IV must occur before change in the DV. 🡪 Temporal Precedence (one things happens first and then the other thing happens)🡪 First cause, then effect The observed relationship between the variables can not be explained away through the influence of other IVs. The linkage must be plausible. Must have some logical, theoretical connection with one another. (tell story about how x leads to y)
51
Define Endogeneity:
getting causation wrong, either by reverse causation: getting the order wrong (“umbrellas cause rain”), or missing a third variable (“ice cream sales cause drowning deaths”)
52
1st Condition of Causality:
Covariation (variables must be associated. They must change together. reject null hypothesis)
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2st Condition of Causality:
no reverse causation (X must cause Y, in that order. Y cannot cause X. aka: endogeneity)
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3rd Condition of Causality:
Control for Third Variables: Necessary Conditions 🡪 Changes in Y will not occur without changes in X. but X is not enough to bring about the change in Y. In addition, W and Z also need to change. Sufficient Conditions 🡪 A change in X is enough to bring about a change in Y but it is not the only way. W and Z independently might lead to the same Y.
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4th Condition of Causality:
Causal Mechanisms Ex: Why do we see variations in the value of B? Because of A. How does A lead to B?
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Difference between necessary and sufficient conditions
Necessary Conditions 🡪 Changes in Y will not occur without changes in X. but X is not enough to bring about the change in Y. In addition, W and Z also need to change. Sufficient Conditions 🡪 A change in X is enough to bring about a change in Y but it is not the only way. W and Z independently might lead to the same Y.
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Causal claims are more reliable when the researcher has ________ _________ of the observations and when the methodology is more __________.
greater control, generalizable
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Why are RANDOMIZED EXPERIMENTS special
Allows researchers the most control Also, typically most generalizable More confidence in causal claiming Pre-test (prevalence of covid b4 vaccine) Post test (prevalence of voter after vaccine)
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Social pressure theory:
People don’t want to be negatively judged by their peers
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What is the difference between internal and external validity
Internal Validity (the sample are the exact people you want to know about) External Validity (the sample are generally people you want to know about)
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External validity is only achieved when _______ __________ is also achieved
internal validity
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What are some possible threats to internal validity?
Selection bias Priming/Framing Maturation Demand Characteristics
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What is an observational study?
Data is collected from surveys or from simply observing the natural world Researcher has moderate control over how phenomena is studied Generalizability will be high as long as the sample is free of bias. Not truly randomized No control over treatment (stimulus)/control group
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What types of things do observational studies generally analyze?
Socioeconomics (race, gender, income, education) Attitudes, Public Opinion, Voting Patterns International organizations, trading blocs, human rights Policy date by state or country
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What is a FIELD STUDY?
The researcher collects data in the field rather than in a lab or office. Ex: Interviewing women soldiers in civil conflict in Somalia
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What is a CASE STUDY?
Typically involves a detailed analysis of just one or very few cases. Ex: Examining the differences between how Southern senators campaign at the national level and the constituent level.
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What type of experiments are generalizable
Randomized Experiments (Make the strongest causal claims Researchers have the most control over observations If internal validity is high, the findings have strong generalizability), Observational studies (Researcher has moderate control Make good generalizable causal claims)
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What type of experiments are narrow
Field Studies (Often only analyze one specific population at a given point in time), Case Studies (Typically consists of small N analyses)
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What are two Characteristics of a good research design
Internal Validity (the way your study is designed makes sense) Our main concern is controlling the confounding variable(s) and a lack of error in measurement. External Validity (generalizability)
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Large N designs
(quantitative) Cross-section (variation over geography) Longitudinal/panel (variation over time)
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N =
number of observations
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Small N designs
(qualitative) Case Studies Focus Groups
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What is An observational study
An observational study is a research design in which the researcher does not have control over values of the independent variable, which occur naturally. However, it is necessary that there be some degree of variability on the independent variable between cases, as well as variation in the dependent variable. we cannot demonstrate causality with any degree of confidence, but only correlation.
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Cross-sectional design:
Variation across space at one point in time Ex: survey polls, Aggregate Data Analysis
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Longitudinal design:
trend analysis Panel study: The same units are measured at different times to investigate the relationship, changes, and causality
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What are 3 examples of Small N designs
single case study (Provide a detailed description and explanation) comparative case study (Compare two or several units in relative detail) focus group (Often used in political research to gauge responses to political ads)
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Describe Petrocik (1996)- Issue Ownership in the 1980 Presidential Race
Voters are more likely to support candidates when they perceive that candidate as having a greater reputation on handling policy issues they care about.
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What is an example of Issue Ownership:
The stock market crashes just weeks before an election. The Republican running for office is a distinguished businessman compared to his opponent, a Democrat, who is a career politician with poorly defined economic policies.
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The “gold standard” of research
RCT: Randomized Control Trial
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What are the characteristics of Randomized Control Trials
Randomly assigned groups Control group Treatment group Pre-test / Post test
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What are Quasi experiments
decide who goes in what group to influence results in your favor
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What are Natural experiments
nature assigns people to groups, not you
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what is an Intervention analysis
measurements of the dependent variable are taken before and after the introduction of a key independent variable. POSITIVE GRAPH SPLIT BY VERTICAL LINE
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WHAT ARE SOME PROBLEMS WITH MODERN DAY EXPERIMENTAL METHODS
Hawthorne effect Survivor bias Publication bias against null results Ethics Generalizability Replication (crisis)
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WHAT ARE THE THREE Human research ethics milestones
Nuremburg code 1947 Developed for Nuremburg military trials “voluntary consent” absolutely essential Declaration of Helsinki Basis for good clinical practices (GCP) today Beecher 1966 Published list of 22 unethical studies published by respected researchers with no informed consent
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wHAT ARE THE 3 ETHICAL PRINCIPLES OF THE BELMONT REPORT
Respect for persons Individuals should be treated as autonomous agents, those with diminished capacity should be protected Beneficence Protect people from harm and make efforts to secure their well being Justice Consider distributional impact of the benefits and burdens of research
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What is Content analysis
Extracting numerical information from written records Usually counts of words, phrases, sentences, titles LIKE A WORD CLOUD
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Questions to avoid
Double barrel: “Do you agree that the president is doing a good job on the economy and that his immigration policy is just?” Ambiguous questions: “Do you think the election is going well?” Questions that imply expertise: “What is your assessment of certain policy regarding the transportation and storage of high level radioactive waste?” Questions that create attitudes: “Campaign finance laws allow Super PACs unlimited contributions to political parties. Do you favor imposing limits on these contributions?” Leading questions: “Don’t you think it increases the safety of our children to put stop signs up on all intersections?”
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The three issues of measurement
1 Conceptual clarity 2 Reliability 3 Validity
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WHAT IS Conceptual clarity
What is the exact nature of the concept we're trying to measure?
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RELIABILTY MEANS __________, DOESN’T NECCEDAIRY MEAN_______
CONSISTENCE, VALID reliable: Are the measurements consistent?
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What is Validity
DIFFERENT VALUE EVERYDAY, BUT REFLECTS REALITY WHEN AVERAGED Do the measurements accurately reflect the concept?
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What is a Random Error?
Chance factors affect the measurement of a concept. Not intentionally deceptive. Asking people to provide an estimate of their annual income at different times and different contexts.
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What is a Nonrandom Error:?
The result of the measurement process itself or perhaps confusion concerning what is being measured. A systematic error. Young woman interviewer who asks in a face to face interview, “Do you agree or disagree that sexism plays a role in inhibiting the career advancement of women?”
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Face Validity:
Agreement among observers that a measurement is germane to the concept.
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Content Validity:
Whether a measures covers the full domain of the meaning of a concept. You need to pay attention to fully define a concepts and its dimensions before measurements are developed.
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Robert Dahl argues that there are two core attributes to a democracy:
“contestation”(election/choice) and “participation.”
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What is the Polity IV measure.
measures democracy with annual scores ranging from -10 (strongly autocratic) to +10 (strongly democratic) for every country on earth from 1800 – 2004.
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The Polity IV measure of democracy has four components:
1 Regulation of executive recruitment 2 Competitiveness of executive recruitment 3 Openness of executive recruitment 4 Constraints on chief executive
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Conceptualization:
is the process of deciding what we mean by specific concepts or terms.
100
Operationalization:
is the process of measuring the presence, absence, or amount of a given concept. How we decide to record empirical observations
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what is the difference between conceptual and operational definitions
conceptual: More general. Indicates the main elements or dimensions of the concept 🡪 MORE ABSTRACT operational: Specifies how the concept will be measured 🡪 MORE CONCRETE based on INDICATORS
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What are the concepts and operationalization of the following research question: Do children grow more quickly if they eat vegetables?
concepts: Children Growth Vegetables operationalization: Children: Age? Country? Race? Gender? Growth: Weight? Height? Mental Growth? Vegetables: What type? How much?
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What are the concepts and operationalization of the following research question: Are dogs who are walked more frequently also healthier?
concepts: Dogs Exercise Health operationalization: Dogs: Breed/Type/Age Exercise: Duration/Distance/Climate/Region Health: Sickness/Longevity
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What are the concepts and operationalization of the following research question: Are younger people less likely to participate in politics?
concepts: Young People Participation Politics operationalization:
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What are the concepts and operationalization of the following research question: Do Supreme Court Judges make decisions based on their own political attitudes or by the law?
concepts: Supreme Court Court Decisions Political Attitudes operationalization: Supreme Court: Which judges? Time period? Court Decisions: Property? Federalism? Civil Rights? Political Attitudes: How to measure judges’ attitudes?
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One major way to distinguish among variables is ______________ _____________.
measurement metric.
107
What are the 5 Levels of measurement
nominal/categorical, ordinal, dichotomous, interval, and ratio/continuous.
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Ordinal Levels of measurement
The value of the measurement denotes categories that increase/decrease in attribute Select your education: 1 High School Diploma, 2 Some College, 3 College Degree, 4 Advanced Degree How accurate do you think most news stories are: 1. Not accurate at all 2. Somewhat accurate 3. Mostly accurate 4. Always accurate or 1 = Very much oppose , 2 = somewhat oppose, 3 = indifferent 4 = somewhat support, 5 = very much support
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Nominal Levels of measurement
The value of the measurement has no numerical quality. The value is only used to differentiate between categories. Select your religion: 1 Christianity, 2 Islam, 3 Judaism, 4 Other
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Dichotomous Levels of measurement
The value of measurement may only take on 2 distinct values. Select your gender: 0 female, 1 male
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Interval Levels of measurement
How much more or less of a property one case has than another. Includes an arbitrary 0 point. (Temperature)
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Ratio (Continuous) Levels of measurement
Values do include a meaningful 0 (The absolute absence of the variable) Age, Crime Rates, Voter Turnout, etc
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What are the two types of descriptive statistics that are most relevant in the social sciences:
1 Measures of central tendency tell us about typical values for a particular variable. 2 Measures of variation or (dispersion) tell us the distribution (or spread, or range) of values that it takes across the cases for which we measure it.
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Central tendency:
Mode, median, mean
112
Dispersion:
Standard deviation
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The only measure of central tendency that is appropriate for a categorical variable is the ______
mode
114
what graph is used if the sample is normally distributed
(Bell Curve).
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what is central tendency in a bell curve
(typical value)
116
what is variance in a bell curve
(its spread)
117
mean
(average)
118
The mode
The most common value of the variable
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Types of variation measures
The Range Interquartile range “Variance” Standard Deviations
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Range =
maximum-minimum values
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Interquartile range (IQR) = Q3-Q1
The median of lower half 🡪 Q1 Median = 50% = Q2 The median of upper half 🡪 Q3
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How do you calculate variance (standard deviation)
STEP ONE: Find the Mean STEP TWO: Subtracting the Mean from Each Score STEP THREE: Square the result STEP FOUR: Sum of all the squared values STEP FIVE: Divide by N
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Standard Deviation tells you how...
measurements for a group are spread out from the mean.
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A higher standard deviation means the values are _________. A lower standard deviation means most of the values are_______________________________.
spread out very close to the mean.
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