Chapter 2 Flashcards

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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
Q

Repeated measures design

A

Each participant is exposed to each experience

26
Q

Inferential statistics:

A

tests the significance of differences between groups to see if the effect we
are observing is meaningful

27
Q

Significance:

A

the likelihood that a relationship between two or more variables is caused by something other than chance

28
Q

Internal validity

A

The degree to which the experiment supports a causal conclusion

29
Q

External validity

A

The degree to which the results of the study can be generalized to other pops, settings and conditions

30
Q

Replication

A

Respected study with similar results

31
Q

Meta-analysis

A

Combining the results of many studies of the same topic to guest overall significance of the findings