Unit 1; Research Methods Flashcards

1
Q

What are the steps of the scientific method (7)

A
  1. Theory
  2. Hypothesis
  3. Research method
  4. Collect data
  5. Analyze data
  6. Report findings
  7. Revise theory
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2
Q

Why to use the scientific method

A

Standardizes research procedure
Reduces bias

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3
Q

Anecdotal evidence

A

Evidence gathered from others’ or ones own experiences

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4
Q

What are some issues with the use of anecdotal evidence (3)

A
  • Single experience may not be the same for subsequent experiences
  • Personal experiences may differ from others’ experiences
  • Correlation =/= causation
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5
Q

Independent variable

A

Manipulated by researcher

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6
Q

Dependent variable

A

Observed by researcher

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7
Q

Control group

A

No changes to independent variable

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8
Q

Within-participants study

A

Manipulate ind. vari. within each participant

ex. you take a test with and without caffeine

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9
Q

What is the benefit of within-participants design

A

Minimize effects of participants differences

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10
Q

What are the downsides of within-participants design (4)

A
  • expensive
  • time consuming
  • test difficulty may change
  • improvement over time
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11
Q

What is the practice effect

A

Performance improvement due to more experience (not due to the ind. vari.)

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12
Q

Confounding/extraneous variable

A

Obscures the effects of the ind. vari. = can’t draw conclusions

ex. everyone in the control group just happens to be vegan

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13
Q

Placebo effect

A

Exhibiting a response to treatment that’s not due to the real therapeutic effects

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14
Q

Participant bias

A

Consciously/unconsciously acting the way they think the researcher wants them to

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15
Q

Blinding

participants

A

Participants don’t know which group they’re in (control vs experimental) or what treatment they’re receiving

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16
Q

Experimenter bias

A

Promoting the results they want to achieve = influence outcome

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17
Q

Double-blind study

A

Neither the experimenter nor participants know what group the participants are in

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18
Q

Histogram graph

A

of times groups of values appear in a data set

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19
Q

Frequency distribution

A

Basically the trend line on a histogram graph

20
Q

Normal distribution

A

Smooth
Bell curved with one peak
Symmetrical

21
Q

Mean

A

Average
Susceptible to outliers

22
Q

Mode

A

Most typical response
Doesn’t have to be numerical

23
Q

Median

A

Center value
Not affected by outliers

24
Q

Standard deviation

A

Deviation from the mean

25
Inferential statistics
Stats that let us make inferences about the overall, underlying pop. from sample data
26
Descriptive statistics
Mean, median, mode
27
T-test
Test to determine if two samples are from the same population
28
P-value
Probability (0-1) that difference is due to chance (not due to manipulation of ind. vari.)
29
When is the p-value statistically significant
less than 0.05 or 5%
30
Type 1 error
Believing a difference where there isn't one "False alarm"
31
Type 2 error
Failing to see a difference where there is one "Miss"
32
Observational study
Observe results without controlling the ind. vari
33
Correlation and meaning
Strength of relationship between variables Strong correlation = all/most dots ON the trend line
34
Correlation coefficient
"r" can be positive/negative, closer to +-1 = stronger correlation
35
Parsimony
Favour the simpler explanation with the most explanatory power
36
Natural order
We attribute the same effects to the same causes ex. smiling = happiness
37
Generalizability
Generalizing lab results to the "real world"
38
Conservatism
Conserve current explanations until new theories have undeniable evidence
39
Empiricism
The idea that knowledge should be gained through observation and testing rather than logic and reasoning
40
What is the difference between a theory and a hypothesis
Theory: more broad / general Hypothesis: Specific this causes this
41
Social desirability bias
People answer questions in a way that will make them look good
42
Response sets | type of response
Participants respond in a way unrelated to the question content - often to reduce mental effort ex. only picking "c" on multiple choice, randomly clicking through a long survey
43
Pros and cons of the research technique... Case study
Pros: - in-depth info - direct evidence of theory Cons: - not generalizable - researcher bias
44
Pros and cons of the research technique... Direct observation
Pros: - less artificiality - long periods of data collection - good for when little is known about the subject / phenomenon Cons: - intrusive = participant bias - observations =/= internal reasoning - researcher bias as observations are subjective
45
Pros and cons of the research technique... Experiment
Pros: - high cause / effect accuracy Cons: - artificial - ethical / moral constraints mean not all experiments can be done
46
Pros and cons of the research technique... Interviews
Pros: - opportunity to clarify answers / assess honesty - good for hard-to-observe behaviours Cons: - interviewee dishonesty, social desirability bias, memory lapses, uncomfortable
47
Pros and cons of the research technique... Questionnaire
Pros: - large sample size - good for hard-to-observe behaviours Cons: - social desirability bias - not truthful