Chapter 2 Flashcards

1
Q

Empiricism

A

Involves using evidence form senses at the basis for conclusions.

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2
Q

5 steps for the scientific method

A

1) identify a question
2) form hypothesis
3) test hypothesis
4) analyze data
5) build a body of knowledge

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3
Q

Hypothesis

A

A tentative explanation or prediction about some phenomenon. Gives support to a theory.

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4
Q

Theory

A

A set of formal statements that explain how and why certain events or phenomena are related to one another

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5
Q

What makes a good theory

A
  • organizes info in a meaningful way
  • its testable
  • supported by research
  • conforms to law of parsimony
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6
Q

Law of parsimony / Occams Razor

A

All things being equal, the simplest explanation is the best explanation.

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7
Q

Operational definition

A
  • defines a variable in terms of specific procedures used to produce or measure it
  • a description of a property in concrete, measurable terms
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8
Q

Self-report measures

A

Partipants report on thier own knowledge, feelings, experiences.

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9
Q

Special desirability bias

A

Desire to make a good impression, effects data form being accurate.

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10
Q

Measures of overt behaviour

A

Observers record observable behaviour.

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11
Q

Issues with measures of overt behaviour

A

participants can change their behaviour when being observed.

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12
Q

Demand characteristics

A

Aspects of an observational setting that make people behave as they think they should

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13
Q

Solution to demand characteristics

A

Observing people without them knowing (unethical)

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14
Q

Archival measures

A

Makes use of pre-existing records or documents

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15
Q

Psychological tests

A

Specialized tests designed to measure certain variables

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16
Q

Descriptive research

A

Seeks to explain how we behave, esp. in natural environments

  • All variables measured
  • Tend to examine natural contexts
  • Extraneous factors not controlled
  • Some examples include case studies, naturalistic, observation, and surveys
17
Q

What are the 3 conditions for random sampling not to be needed

A
  1. Similarity of a sample and a population doesn’t matter
  2. Multiple experiments conducted on different samples
    have similar results
  3. Similarity of sample and population is sometimes
    reasonable
18
Q

Correlational research

A

Looking for a correlation between variables

19
Q

Bidirectionality problem

A

If X and Y are correlated, which one causes which?

20
Q

Third variable problem

A

A third variable could be the cause of either X or Y.

21
Q

Independent variable

A

Manipulated variable

22
Q

Dependant variable

A

Measured variable

23
Q

Can random assignment prevent third variable problems ?

A

YES, cause any differences within the ppl wouldn’t matter as they were randomly assigned

24
Q

Between groups design

A

2 groups with 2 experiences, 1 group per experience

25
Repeated measures design
Each participant is exposed to each experience
26
Inferential statistics:
tests the significance of differences between groups to see if the effect we are observing is meaningful
27
Significance:
the likelihood that a relationship between two or more variables is caused by something other than chance
28
Internal validity
The degree to which the experiment supports a causal conclusion
29
External validity
The degree to which the results of the study can be generalized to other pops, settings and conditions
30
Replication
Respected study with similar results
31
Meta-analysis
Combining the results of many studies of the same topic to guest overall significance of the findings