Unit 2: Psychological Science Flashcards

(38 cards)

1
Q

Hindsight bias

A

the tendency to believe, after learning an outcome, that one would have foreseen it

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2
Q

Why can’t we rely on common sense? (3 things)

A

1) Hindsight bias
2) Overconfidence
3) Perceiving order in random events

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3
Q

What helps us seperate the facts from fictional perceptions?

A

1) Curious eagerness
2) Scrutiny
3) Open minded humility

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4
Q

theory

A

an explanation using principles that organizes observations and predicts behavior

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5
Q

hypothesis

A

a testable prediction, often implied by a theory

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6
Q

operational definition and its importance

A

a carefully worded statement of the exact procedures used in a research study, and helps to make precise standards to prevent bias

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7
Q

What makes a theory useful?

A

1) Organizes observations
2) Implies predictions
3) Stimulates further research

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8
Q

Theory types

A

1) Descriptive methods –> describe behaviors
2) Correlational methods –> Associated diff. variables
3) Experimental methods –> manipulate variables to discover effects

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9
Q

Case study

A

a descriptive technique in which one individual or group is studied in depth in the hope of revealing universal principles

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10
Q

Naturalistic observation

A

A descriptive technique of observing and recording behavior in naturally occurring situations without controlling the situation.

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11
Q

What makes naturalistic observation important, and what limits them?

A

They can be predictors of future actions and illuminate human behavior without controlling factors, but they don’t EXPLAIN behavior.

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12
Q

Survey

A

Descriptive technique for obtaining self reported attitudes/behaviors of a group

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13
Q

Sampling bias

A

A flawed sampling process that produces an unrepresentative sample[

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14
Q

What prevents sampling bias?

A

Random samples

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15
Q

What are the description methods of theories?

A

1) Case studies
2) Naturalistic observations
3) Surveys

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16
Q

Correlate

A

A measure of the extent to which two factors vary together, and of how well one factor predicts the other

17
Q

Correlation coefficient

A

A statistical measure, figures out how closely two things vary together

18
Q

What determines close correlation?

A

The closer to either extreme (-1.0 to +1.0)

19
Q

What restricts the importance of correlations?

A

Doesn’t explain relations, doesn’t prove causation

20
Q

Illusory correlation

A

Perceiving a relationship where none exists, or perceiving an abnormally strong relation

21
Q

Regression towards the mean

A

The tendency for extreme or unusual scores to regress to average
–> Often attributed to direct action

22
Q

Experiments enable researchers to isolate the effects of one or more factors by…

A

1) Manipulating the factors of interest
2) Holding other factors constant

23
Q

What must researchers control for to determine the effectiveness of a possible treatment?

A

Placebo effect

24
Q

What do experiments examine?

A

The effect of one or more independent variables on some measurable behavior

25
Confounding variables
Other factors that can potentially influence a study's results
26
How do researchers set up a research study?
1) They pose a question 2) They select the most appropriate research design and determine how to set it up 3) They decide on an operational definition 4) They consider possible conflicting values/factors
27
What illuminates everyday behavior?
Resulting principles
28
Why do psychologists study non humans?
Because our processes align somewhat with specific species of the animal kingdom
29
Informed consent
Giving potential participants enough information to enable them to select participation
30
Debrief
Post experimental explanation of a study
31
Descriptive statistics
Numerical data used to measure/describe characteristics of groups
32
What does summarizing data with a measure of central tendency do?
Pinpoints a single score to represent other scores
33
What does variation point to in a study?
High/low variability
34
Ways to tell variation
Range, standard deviation
35
Inferential statistics
Numerical data that allows one to generalize from sample data the probability of something being true of a population
36
Ways to tell if it's safe to generalize from a sample
1) Representative samples are better than biased samples 2) Less variable observations are more reliable that those that vary more 3) More cases are better than a few
37
How can I tell if an observed difference is significant?
if p < 0.05, results are statistically significant. if p > 0.05, results are not statistically significant.
38
What can a statistical significance measure?
The likelihood of a significance, not the importance