non experimental Flashcards

1
Q

questionnaire strengths

A

easily distributable
easily replicable-increased reliability
close ended questioins are straight forward and easily analysed
useful for socially sensitive info

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2
Q

questionnaire weaknesses

A

social desirability bias- decreasse validity
anonymity can make less truthful
no follow up questions
close ended questions restrict data

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3
Q

types of questionnaires

A

close
open

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4
Q

interview strengths

A

better awareness of truthfulness as face to face
follow up qs

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5
Q

interview weaknesses

A

interviewer bias-validity
time consuming transcribing interview data
social desirability bias-validity

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6
Q

interviewer bias

A

a type of bias where the characteristics or behavior of the interviewer unintentionally influences the responses given by the interviewee

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7
Q

case study

A

detailed in depth analysis of an individual or small group
longitudinal with a lot of data and many sources

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8
Q

case study strengths

A

rich detailed insight enabling study of atypical behaviour
used to support/challenge other larger scale research

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9
Q

case study weaknesses

A

prone to researcher bias
unreliable due to non replicability, has little population validity

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10
Q

population validity

A

the extent to which the results of a study can be generalized to a wider population beyond the specific sample used

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11
Q

face validity

A

a way to assess whether a test or assessment appears to measure what it’s intended to measure

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12
Q

content analysis

A

studying peoples behaviour indirectly through media, coding this data and producing quantitative data by categorising the data into meaningful units

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13
Q

content analysis strengths

A

detailed indepth analysis
comparable results
presented graphically

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14
Q

content analysis weaknesses

A

subjective nature of creating themes and coding units-investigator bias
time consuming

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15
Q

thematic analysis

A

any recurrent emerging themes often from content analysis are studied in more depth, more descriptive

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16
Q

correlation coefficient

A

number between -1 and +1 that shows strength and direction ot the relationship between two covariables

17
Q

correlation vs experiment

A

correlation=assessing rs between 2 covariables, no cause and effect
experiment=significant difference, cause and effect between IV and DV

18
Q

strengths of correlation

A

useful starting point for research
relatively economical-usually uses secondary data

19
Q

weaknesses correlation

A

no cause and effect- co variables doesnt mean direct link
intervening variables may explain relationship also and lead to false conclusions

20
Q

alternative hypotheses

A

not the same as experimental hypotheses
still clearly states expected rs between two covariables and operationalised

21
Q

directional

A

greater or lesser, positive or negative

22
Q

non directional

A

no direction, used w no theory or contradictory
eg. there is a correlation

23
Q

meta analysis

A

combing results from a no of studies to provide an overall view/conclusion

24
Q

meta strength

A

less ethical issues
larger varied samples- generalisibility= validity

25
Q

meta weaknesses

A

publication bias- researcher handpicking studies to not fully rep
secondary data- accuracy?

26
Q
A