Research Methods and Data Literacy Flashcards

1
Q

What is a method?

A

A study design (has rules and procedures to systematically study the social world)

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2
Q

What is confirmation bias?

A

Tendency to look for and accept information that reinforces our current beliefs

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3
Q

What is the Nuremberg Code (1948)?

A

1) People must voluntarily consent to taking part in research
2) Researchers should avoid unnecessary physical/mental suffering and injury
3) Degree of risk to subjects must be justified by likely benefit to humanity at results of research
4) Subjects must be free to stop participating at any time
5) If researchers discover their project puts subjects in serious risk, they must end it immediately

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4
Q

What is the Tuskegee Syphilis Experiment? (hint: example of ignoring nuremberg code guidelines)

A

Conducted in Alabama (1932-1972) and looked at how syphilis developed over time if left untreated, and hundreds of black men were the subjects and never told their true diagnosis (told they had ‘bad blood’)

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5
Q

What are four regulations by the Institutional Review Board?

A

Informed consent
Confidentiality
Voluntarily participation
Do no harm

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6
Q

What are the two types of research methods?

A

Quantitative data (‘what’): in form of numbers, reflects quantities/amounts/statistics
Qualitative data (how/why): reflects general themes/processes/meanings

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7
Q

6 common sociological methods?

A

Experiments, surveys, participant observation, qualitative interviews, historical and content analysis, other existing data

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8
Q

What are two pros and two cons of experiments?

A

Experiments Pros:
-allow us to carefully study impact of one thing at a time
-can establish cause and effect
Experiment Cons:
-results may be unrealistic compared to everyday life where we aren’t affected by one factor at a time
-important to pay attention to ethical issues

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9
Q

A) What is an audit study?
B) What is a natural experiment?

A

A) Type of experiment where one characteristic/behaviour is carefully isolate
B) Researcher does not control environment and it is naturally occurring control/exposure group. Not ‘true experiment’

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10
Q

What is a survey?

A

Set of pre-determined, close-ended questions, quantitative

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11
Q

A) Pros of survey?
B) Cons of survey?

A

A) Relatively cheap, quick way to get information from large groups of people, can analyze patterns/differences between groups
B) Low response rates, slight differences in wording can affect responses

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12
Q

Define participant observation.

A

Researcher spends time among group, observing and participating in that social world. Results are called ethnography.
Example: researcher talks to unhoused people

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13
Q

A) Pros of participant observation?
B) Cons of participant observation?

A

A) Can collect detailed information about specific social scenes/interactions, can observe how people behave in different settings
B) Can be time-consuming and expensive, hard to earn trust of group or understand social scene, small group of subjects, results may not be replicable

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14
Q

Define qualitative interviews.

A

Researcher asks open-ended questions to analyze complex themes that cannot be quantified (can be used with participant observation)

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15
Q

A) Pros of qualitative interviews.
B) Cons of qualitative interviews.

A

A) Can investigate themes hard to document with other methods, can ask follow-up questions, uses words of people themselves to understand a topic
B) Usually not empirically generalizable, may be difficult to replicate, question wording and trust with research can affect responses, smaller sample sizes

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16
Q

Define historical and content analysis.

A

Analyzing existing sources to find key themes (newspapers, tv, etc.)

17
Q

Pro and con of historical and content analysis

A

Pro: identifies recurring themes/patterns, can study issues from history
Con: stuck with data that exists

18
Q

What is other existing data?

A

Researchers can analyze any data that exists

19
Q

Define co-variation

A

Relationship between variables

20
Q

Define independent variable and dependent variable

A

Independent Variable (X): affects the variable you are trying to explain
Dependent Variable (Y): the variable you are trying to explain

21
Q

What is form of hypothesis?

A

For Population (P), Independent Variable (X) is related to Dependent Variable (Y)

22
Q

Define operationalization

A

How you will measure your variables.

23
Q

What is random and non-random samples?

A

Random samples: each member of population must be known and have some chance of being selected, allows you to generalize
Non-random samples: some members don’t have chance of being selected, harder to generalize (e.g. drug addicts)

24
Q

Define target population, sampling frame, selected sample, and actual sample.

A

Target population: who researchers want to study Sampling frame: who they can potentially study
Selected sample: who they try to get
Actual sample: who they get

25
Q

Name one potential problem with samples.

A

Nonresponse bias: do the people who choose not to respond have different qualities then those who did

26
Q

Define correlation and causation.

A

Correlation: two or more variables are related, not necessarily cause-effect
Causation: one variable affects another variable, (causal relationship is one where causation exists)

27
Q

How can a researcher establish causation?

A

Establish correlation, determine timing of effects, rule out alternative explanations/spurious relationships

28
Q

Define spurious relationships

A

Appears to be cause-effect but outside variable is the cause

29
Q

What is reliability and validity?

A

Reliability: measure is consistent
Validity: measure is accurate and measures what research intends for it to measure

30
Q

What are three main systematic biases?

A

Nonresponse bias: systematic patterns in who does/doesn’t respond causing sample to be unrepresentative
Social desirability bias: tendency for subjects to give answers they think are socially acceptable, providing invalid measure of opinions
Coverage bias/sample frame error: differences between sampling frame and actual population, and/or researcher does not know who is in their population

31
Q

Four types of selective/inaccurate observation?

A

Confirmation bias: the tendency to gather/interpret information in a way that supports pre-existing beliefs, can affect how people interpret events
Resistance to change: many are resistant to changing pre-existing beliefs even when faced with contradicting evidence
Illogical reasoning: must not prematurely jump to conclusions without sufficient evidence and considering alternative possibilities
Misrepresentation: labels, numbers, scales, and context can misrepresent data in graphs

32
Q

What is mis- and disinformation?

A

Misinformation: the act of sharing information without realizing it’s wrong
Disinformation: the deliberate creating and/or sharing of false information in order to mislead

33
Q

6 types of mis/disinformation?

A

Fabricated content: completely false
Manipulate content: distortion of true information
Imposter content: impersonation of genuine sources
Misleading content: presented in misleading way
False context of connection: accurate content shared with false context
Deepfake: altered media