Research Methods Flashcards

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1
Q

aim

A

what the researcher intends to investigate

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2
Q

hypothesis

A

statement stating relationship between IV & DV

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3
Q

state the 3 types of hypothesis

A

null, directional, non-directional

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4
Q

null hypothesis

A

nothing will happen

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5
Q

directional hypothesis

A

1 tailed, one specific group will do better than the other

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6
Q

non-directional hypothesis

A

2 tailed, predicts something will happen but not ‘direction’ of the effect

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7
Q

independent variable

A

manipulated by researcher so DV can be measured

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8
Q

dependant variable

A

measured by researcher

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9
Q

what do you have to do once you have made the aims and hypothesis

A

operationalise variable e.g. turn UV & DV into something we can measure

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10
Q

name all research issues

A

extraneous variable, confounding variable, demand characteristics, investigator effects

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11
Q

research issues - extraneous variable

A

variable affecting DV
additional/unwanted - should be identified + have steps taken to minimise effects
doesn’t vary systematically with IV

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12
Q

research issues - confounding variable

A

varies systematically with IV so can’t tell is change in DV is due to IV or varaible

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13
Q

research issues - investigator effects

A

effect of investigator’s behaviour on research outcome
e.g. leading questions
Coolican: include expectancy effects + unconscious bias - actions of researcher related to study design (selection of PPs, instructions)

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13
Q

research issues - demand characteristics

A

cues from researchers / situation that may be interpreted as revealing purpose

act in way they think expected + over-perform (please-U effect)
underperform to deliberately sabotage (screw-U effect)

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14
Q

research issues (combat) - randomisation

A

control investigator effects through use of chance methods to reduce researcher’s unconscious biases

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15
Q

research issues (combat) - standardisation

A

using exactly the same formalised procedures / instructions for all PPs in a research study

16
Q

case studies

A

in-depth investigation, description, analysis of single individuals, group, institution, event

tend to take place over long time (longitudinal)

17
Q

content analysis

A

research technique enabling indirect study of behaviour by examining communication that people produce e.g. in texts, emails, TV, film

aim to summarise & describe communication in systematic way so overall can be drawn

18
Q

coding

A

stage of content analysis - categorise large sets of info into meaningful units

may involve counting up number of times particular word/phrase appears to produce quantitative data

19
Q

thematic analysis

A

inductive & qualitative approach to analysis that involves identifying implicit/explicit ideas within data

themes often emerge once data been coding

20
Q

evaluate case studies

A

+ rich, detailed insights may shed light on unusual + atypical forms of behaviour - preferred to more ‘superficial’ forms of data from experiment/questionnaire

+ contribute to understanding of ‘normal’ functioning e.g. HM significant as it demonstrated ‘normal’ memory processing

+ generate hypotheses for future study + 1 solitary contradictory instance may lead to revision of entire theory

  • generalisation when dealing with small sample sizes
  • information in final report based on subjective selection & interpretation
  • personal accounts prone to inaccuracy & memory decay (low validity)
21
Q

evaluate content analysis

A

+ useful - gets around ethnical issues

+ most material already exists within public domain - no issues obtaining permission

+ high external validity

+ flexible - produce both qualitative & quantitative data

  • people tend to be studied indirectly so communication they produce usually analysed outside context within which it occurred
  • researcher may attribute opinions
  • lack objectivity especially when more descriptive forms of thematic analysis employed
22
Q

assessing reliability

A
  1. test retest: questionnaire, testing over time, correlation -0.8+
  2. inter-observer reliability: multiple observers - overcome bias 0.8+ pilot study
23
Q

assessing reliability - test retest

A

method assessing reliability of questionnaire/psychological test by assessing person on 2 separate occasions

shows to what extent test produces same answers i.e. is reliable

24
Q

assessing reliability - inter-observer reliability

A

extent to which there is agreement between 2+ observers

measured by correlating observations of 2+ observers

(total number of agreements

25
Q

reliability

A

how consistent findings are - measuring device said to be reliable if it produces consistent results

26
Q
A