Final Exam Flashcards

1
Q

Population sample

A

Entire population is used in the research

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2
Q

Sample of subset of population

A

A smaller amount of the population that is representative of the population as a whole

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3
Q

Sampling frame

A

Samples chosen from a specific source like a university

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4
Q

Census

A

A systemic collection of data from all members of a population

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5
Q

Probability sample

A

A randomly selected sample of the population

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6
Q

Non-probability sample

A

A sample that isnt selected randomly

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7
Q

Representative sample

A

A sample that accurately reflects the population

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8
Q

Facts

A

Observations about the world around us (the sky is blue today)

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9
Q

Hypothesis

A

A proposed explanation for a phenomenon. A starting point for further investigation and testing.

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10
Q

Theory

A

A well-substantiated explanation made through repeated testing, and has passed all tests and experiments

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11
Q

Law

A

A statement based on repeated experimental observations that describes some phenomenon of nature

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12
Q

Unstructured interview

A

The researcher has a brief set of topics they’ll cover

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13
Q

Semi-structured interview

A

The researcher uses an interview guide with a list of topics and questions

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14
Q

Ethnography

A

Includes participant observation, immersion in a social setting, field notes, long periods of time

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15
Q

Overt role

A

When the people you’re observing know you’re conducting research

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16
Q

Covert role

A

When you’re doing undercover research

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17
Q

Open setting

A

The researcher has open access to social settings. Like in public areas

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18
Q

Closed setting

A

The researcher does not have free access, no public access, like researching a gang

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19
Q

Grounded theory

A

The theory is created as the research is conducted and info and data are collected. “Grounded” in observations and data

20
Q

Normal distribution

A

A bell shaped curve of a probability sample. If the sample is large enough, it should be around 95% accurate. With one side of popularion -1.95 and other side +1.95 away from the population mean

21
Q

Nominal variable

A

Categorical variable - where they have no relationship to each other like belonging to a religion

22
Q

Ordinal variable

A

The different variables are rank-ordered, great than > and less than

23
Q

Interval ratio

A

The distance between the variables is the same (like minutes as a marker for time spent doing cardio)

24
Q

Experimental designs need…

A

Validity, reliability, and replicability

25
Q

Experimental designs need an environment that js

A

Controlled, to control for all confounding variables

26
Q

Problems in experimental designs…

A

Confounding variables: history, maturation, testing, and losing participants over time

27
Q

External validity

A

When confounding variables are controlled for

28
Q

Hawthorne effect

A

When people know they’re being experimented on, it changes the way they behave thus the outcome

29
Q

Quasi-experimental design

A

Includes non-random assignment to groups

30
Q

Ex-post facto design

A

Useful to test circumstances that have already occurred, that they are unable to test (like child abuse)

31
Q

Mixed-methods research

A

Uses triangulation, where one method is used to test the findings of the other

32
Q

Grounded theory

A

When the theory is built as the research is conducted

33
Q

Disadvantages of covert roles

A

Although it might be easier to gain access to closed settings, doing research without free prior informed consent can be an ethical issue. Research ethics board needs to approve of your covert role

34
Q

Interview advantages

A

Less intrusive than ethnography. Might get info that ethnography missed. Interviewees can retell events that happened. Can be more focused on certain aspects rhat ethnkgeaoher mjssed

35
Q

Ethnography advantages

A

Complete immersion in a social setting can allow the researcher to pick up on many aspects, that interviews may miss. The social setting will have a context from being in it all the time

36
Q

Grounded theory

A

Uses inductive reasoning. “Grounded” in observations and data

37
Q

Structured observation

A

Formulate explicit rules outlining what behaviours they might observe and how they will record (and code) them

38
Q

Quantitative sampling

A

When the proper sampling technique is used, it can vastly improve validity, as well as improve time and resources needed to complete the research withojut comprosimign tbr findjng

39
Q

Three sources of bias

A

Not using random selectjon. If it excludes some cases, then its not representative. Or some people refuse to participate or cant be contacted

40
Q

Problems w structured interviews

A

Respondents consistently agree or disagree. Some people lie about their answer to please the interviewer. Prompting suggestions to the interviewee. The way the questions are ordered influence the answer

41
Q

Probability

A

Ranges from 0 to 1, wjth 1 being 100% certainty.

42
Q

Bivariate hypothesis testing

A

Used to answer the causal question “are X and Y related?” Bivariate means “two variables” - doesnt help control for confounding variables.

43
Q

P-value

A

Aka probability value thag ranges from 0 to 1. Rates the probability that we would see the observed relationship between 2 variables in our sample data if there were truly no relatjonship between them

44
Q

Null-hypothesis

A

What wr wojld observe if our hypothesis is incorrect.

45
Q

Simpsons paradox

A

Most statistical percentages have a different story behind then that is nkt being tokd. Hides a conditional variable aka lurking variable