Ch. 2 - Research Methods Flashcards

1
Q

Hypothesis

A

An explicit, testable prediction about the conditions under which an event will occur

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2
Q

Theory

A

A theory must be proposed based on several tested and proven hypotheses. It is an organized set of principles used to explain observed phenomena.
- Potentially provides an important contribution to a field even if it turns out to be wrong

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3
Q

Basic Research

A

Seeks to increase our understanding of human behaviour
- Often designed to test a specific hypothesis from a theory

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4
Q

Applied Research

A

creates practical applications to the world and contributes to solving social problems

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5
Q

Construct Validity

A
  • how well the experiment manipulates the variables intended &
  • How well the measurements accurately represent the intended conceptual variables
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6
Q

Conceptual variable

A

abstract form of a variable that is under examination
- what an operational definition is indicative of

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7
Q

Self Reports

A

Can be a series of questions, where a participant gives the answers
- least accurate method of testing

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8
Q

Interval-contingent self reports

A

Respondents report experiences at regular intervals, usually once a day

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9
Q

Signal-contingent self reports

A

Respondents report ASAP after being signaled, usually by a notification from the experimenters

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10
Q

Bogus Pipeline technique

A

The belief that the experimenters can tell when they’re lying leads to more honest results

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11
Q

Event-contingent self reports

A

Respondents report on a designated set of events ASAP after they occur

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12
Q

Interrater reliability

A

There must be agreement among multiple observers, then the more nuanced data can be trusted
- helps avoid the inaccuracies of self-rating, but increases the observer’s paradox

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13
Q

Archival studies

A

studies examining existing records and other studies

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14
Q

Random Sampling

A

A method of selecting participants for a study so that everyone in a population has an equal chance of being in the study

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15
Q

Experiments

A
  • Experimenter always has full control over the variables
  • participants are randomly assigned to the manipulated conditions
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15
Q

Correlation Coefficient

A

Statistical measure of the strength of the relation between two variables
Ranges from -1.0 to +1.0
- Positivity or negativity shows the direction of the relation, and the closer it is to either - or + 1.0 shows more correlation
- e.g. college entrance exam correlates positively with grades, and the number of missed classes correlates negatively with grades

16
Q

Random assignment

A

how people in the study are assigned to different conditions

17
Q

Independent Variables

A

Manipulated by the experimenters

18
Q

Dependent Variables

A

Potentially affected by the independent variable

19
Q

Subject Variables

A
  • Preexisting differences among participants in the experiment
  • Race, gender, etc.
20
Q

Statistical significance

A
  • If the results could have been chance less than 5/100 times, then it’s statistically significant
  • Doesn’t mean certainty, which is why we need Replication
21
Q

Mundane realism

A

how much the experimental setting resembles the real world

22
Q

External Validity

A

Would the same results occur in different circumstances

23
Q

Experimental realism

A

how much the experimental setting and procedures are real and involving to the participant

24
Q

Deception

A

False information in an experiment

25
Q

Confederates

A

actors pretending to be in the experiment but are actually working for the experimenters

26
Q

Informed consent

A
  • Participants must be given enough information to make an informed decision
  • Extremely important
27
Q

Debriefing

A

Discloses the nature of the research, and resolves any negative feelings surrounding it
- Important end of experiment practice

28
Q

Preregistration

A

When scientists report their predictions and plans for analyses before the data are collected

29
Q

Confirmation Bias

A

Taking in supporting data and ignoring refuting data
- Often the correct approach is to take new data lightly in comparison with previous beliefs, which is why confirmation bias is so harmful

30
Q

four factors in changing beliefs

A

Old belief
Confidence in old belief
New data
Confidence in new data
- The more confidence in an old belief, the less likely one is to believe the new data

31
Q

When does Fear work in affecting action?

A
  • When someone is already stressed out
  • When you’re getting someone not to do something
    • Hope and positive feedback are better at provoking action
32
Q

The Equality Heuristic

A

A mental shortcut which assigns equal weight to everyone’s opinion
- counterproductive at times, since it’s better to put more weight on people with expertise

33
Q

Surprisingly popular vote

A

ask people a question, and then what they think the most popular answer will be, if there is a difference in how people answer, it marks them as being more knowledgeable

34
Q

two human brains’ activities synchronize when someone is telling a story, making them more easily influenced by the storyteller

A

the listener is more receptive to new ideas when they have more faith in the speaker, basically improves the security of the new data