Lesson0.1: Research Methods Flashcards

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1
Q

What is a theory?

A

A theory is a well-sustained explanation for a natural phenomenon that is broader than a single hypothesis

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2
Q

What do experiments do to theories?

A

Expand, support, or refute them

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3
Q

What is a requirement of a hypothesis?

A

It must be falsifiable

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4
Q

What is operationalization?

A

The process of determining how things will be measured and what those data will represent

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5
Q

What are independent variables also known as?

A

A factor, explanatory variable, predictor

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6
Q

What are levels?

A

Potential values of a factor/independent variable. Each factor has two or more levels.

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7
Q

What are combinations of factor levels called?

A

Treatments

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8
Q

What are experimental units?

A

The things being experimented on.
Animals: subjects
People: participants

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9
Q

What are confounding variables?

A

Unmeasured variables that may also affect the dependent variable

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10
Q

When should risks to participants be taken?

A

Only if it is necessary and outweighed by the expected benefits of the study

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11
Q

What should researchers do in a study where deception is necessary?

A

They should tell participants as much as possible about the expriment beforehand, should reveal its true purpose afterwards, and should give participants the opportunity to ask questions

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12
Q

What is a vulnerable population and what are some examples?

A

A population that is not able to protect its members’ self-interests in the course of being test subjects.
Examples include people who…
-lack the cognitive capacity to understand the risks involved
-lack the linguistic abilities to understand what they’re consenting to
-are in such poverty that monetary incentives would disproportionately convince them to undergo particularly risky work

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13
Q

What kind of work is ideal with vulnerable populations?

A

Work for vulnerable populations. For example, developing a pharmaceutical that may more quickly cure jaundice in newborns.

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14
Q

What are categorical variables and what are the two types?

A

Variables that are categories (favourite colour, university major, preferred mode of transportation)
2 types:
1) Nominal
2) Ordinal

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15
Q

What is a quantitative variable and what are the two types?

A

Variables that are numbers and behave like numbers (height, weight, salary)
2 types:
1) Interval
2) Ratio

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16
Q

What is a nominal variable?

A

A type of categorical variable that names something but has no meaningful order. For example, eye colour

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17
Q

What is an ordinal variable?

A

A categorical variable that classifies data into ordered categories but does not convey the degree or magnitude of difference between the categories. For example, pain scales; the difference between moderate and severe pain is not conveyed

18
Q

What is an interval variable?

A

A quantitative variable that measures the intervals between values on a scale. It has an arbitrary zero point, so the ratios between values are not
meaningful. Valid operations include addition and subtraction. For example, temperature

19
Q

What is a ratio variable?

A

A type of quantitative variable that has a meaningful zero and equal distance between points. Valid operations include addition, subtraction, multiplication, division, powers, logs, and everything else. For example, kinetic energy

20
Q

What are negative controls in experimental studies?

A

Procedures not expected to produce results (a placebo)

21
Q

What are positive controls in experimental studies?

A

Procedures with well-understood, usually positive effects (e.g., a previously established vaccine)

22
Q

What are the 3 stages of experimental design?

A

1) Recruit
2) Sort
3) Repeat

23
Q

What is a population vs a sample?

A

A population is the group that we wish to know about. A sample is the group of participants from the population

24
Q

What are the 4 types of recruitment methods?

A

1) Simple random sampling
2) Cluster random sampling
3) Stratified sampling
4) Snowball sampling

25
Q

What is simple random sampling?

A

Selecting participants purely randomly

26
Q

What is cluster random sampling?

A
Selecting clusters (e.g., townships) of participants randomly
-This is a convenient method
27
Q

What is stratified sampling?

A

Sorting a population into subpopulations (demographics), then randomly sample proportionately from those subpopulations

28
Q

What is snowball sampling?

A

Used when the sample is hard to recruit. Initial participants are found, then they refer researchers to other participants

29
Q

What is a block design?

A

Where participants are grouped first (e.g., by gender), then randomized making sure equal numbers of each group go into each of the experimental groups

30
Q

What is a matched pair design?

A

Each participant has a partner that matches them in a target variable(s) that the experimenters think might be meaningful (e.g., age, geneder, smoking status). Then, those partners are separated into different groups

31
Q

What is blinding and describe the 3 types

A

Blinding refers to who knows whether a participant is in the experimental or control group.

1) Unblinded: everyone knows which participants are in which group
2) Single-blind: the participant doesn’t know which group they’re in, but the researcher does
3) Double-blind: neither the participant nor the researcher knows which group the participant is in; only a third party (a research coordinator) knows this

32
Q

What are observational studies?

A

Studies observing variables without manipulating them

33
Q

What are correlational studies?

A

Studies that seek to correlate two or more variables. For example, observational studies

34
Q

What are cross-sectional studies?

A

Studies that study a sample(s) at one point in time

35
Q

What are longitudinal studies?

A

Studies that study one sample over a length of time

36
Q

What are quasi-experimental studies?

A

Studies where there are indepedent and dependent variables, but no random assignment

37
Q

What are case-control studies?

A

Studies employed when studying something rare. Studies two groups: one that has a certain ouctome (e.g., skin cancer) and one that doesn’t. Then, the values of another variable (e.g., sun exposure) are compared between groups

38
Q

What are case studies?

A

Studies that dig deeply into a few cases. These are often used in the development of models, which are often tested with other methods

39
Q

What is a mixed methods study?

A

An approach that combines multiple methods in a way that paints a more complete picture than any of the individual methods

40
Q

Populations have _________, samples have _________

A

Paramters, statistics