Research Methods Flashcards

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1
Q

5 steps of the scientific method

A

1 develop a question

  1. make predictions
  2. test the predictions
  3. analyze the data
  4. add to theory
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2
Q

SM- few ways people develop a question

A

previous research, disbelief of other theories, observation from data of another prediction that doesnt follow.

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3
Q

SM- making predictions - what does this mean?

A

think about how youre gonna test and what the outcomes would be.
create hypothesis - if, then statement.

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4
Q

SM - test predictions.

  1. defining variables.
  2. examples of individual measures
  3. research design.
A
  1. conceptual = textbook. observational = exactly how variable is measured.
  2. archival (documents, record); recorded observations, self-report, psychological tests, physiological tests.
  3. descriptive (describe behaviours, thoughts feelings), correlational (investigate relationships), experimental, quasi-experimental
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5
Q

few examples of descriptive research design

A

case study - in depth analysis of an individual. (rare phenomenon , challenge validity of theory, can’t generalize or determine cause-effect)
naturalistic- observe in natural setting. may disrupt natural behaviour (overcome w habituation)
survey - questionnaires/interviews. representative sample, random sampling. (+): see changes over years, (-): no cause effect.

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6
Q

pro’s and cons of correlational research

A

Correlation does not reflect causation.
(+): natural, more directed than descriptive
(-): not causal, bidirectionality problem. spurious relationship

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7
Q

pro’s and con’s of correlational research

A

can find causal relationships
IV = manipulate.
DV = expect change due to IV.
control.
between groups design: each group has diff set of participants
within groups design: each participants exposed to all conditions of IV.
(+): causal (-): very controlled and unnatural

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8
Q

discuss quasi-experimental

A

study effects of some variable that occurs naturally or manipulates conditions.
groups that cant be randomly assigned.

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9
Q

analyzing data

A
statistics. 
frequency distributions
central tendency
variability 
correlation
inferential
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10
Q

stats - moderation and mediation. define

A

moderator: investigate conditions when effects are seen. affects strength of relationship
mediator - investigates mechanisms - how or why effects are seen.

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11
Q

define theory

- important thing to do for theories.

A

set of formal statements that explains how + why certain events are related to one another. scientific process is self-correcting.
- replication and test boundaries is important to theory.

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12
Q

2 approaches to understanding behaviour

A
  1. hindsight - related past events can be explained creatively, in many ways. :/
  2. understanding through prediction. control and theory building. understand cause of given behaviour = predict conditions under which behaviour will occur in the future
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13
Q

characteristics of a good theory

A
  • incorporated existing facts and observations in single broad framework. organize info meaningfully.
  • testable - generate new hypothesis and predictions
  • predictions made supported by findings in research
    law of parsimony = simple theory is preferred
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14
Q

threats to validity of research

A

confounding variables
placebo effects
experimenter expectancy
replication and generalization of findings

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15
Q

define internal and external validity

A
internal = degree to which experiment supports clear causal conclusions
external = degree to which study can be generalized to other poplns, settings and conditions
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16
Q

define confounding variables

A

2 intertwined variables. - cant determine which has influenced the dependent variable. cant determine causal relationship

17
Q

define placebo effect

- what does it do to internal validity

A

inactive treatment. expectations producing results.

decreases internal validity

18
Q

define experimental expectancy effects

- how to prevent this?

A

sublte, unintentional ways researchers influence participants to respond in manner that is consistent with researchers hypothesis
double-blind procedure: both participatns and experimenter blind as to which experimental condition the participant is in.

19
Q

6 ethical considerations

A
1. benefit > harm
2 informed consent
3. consent without coercion
4. privacy and confidentiality
5. avoid doing hard 
6. protect/promote welfar of participants.