general evaluation limitations

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Last updated 8:31 AM on 5/3/26
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12 Terms

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correlational

  • fundamental weakness is cannot establish causal relationship between the co variables

  • as there is no deliberate manipulation of an IV, the researchers cannot establish the direction of [topic]

  • relationship may also be purely coincidental due to the third variable problem where an unmeasured, intervening variable is responsible for the change in both co-variables like [topic]

  • means findings lack internal validity making the research less useful for [topic]

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self report

  • undermined by response bias threatening internal validity

  • rely on participants’ honesty making it susceptible to social desirability bias to make answers look ‘good’ or ‘normal’ rather than truthful

  • may fall victim of acquiescence bias or the interviewer effect

  • data may be a reflection of how they wish to be perceived rather than reflection of true behaviour so lacks scientific accuracy

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retrospective study

  • reliance on retrospective recall is prone to inaccuracy and distortion

  • human memory is a reconstructive process - memories can decay, be interfered or participants may engage in effort to alter meaning

  • issue for internal validity leading to false conclusions

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lab studies

  • low ecological validity and mundane realism

  • strictly controlled and artificial environments dont reflect complexities of real life settings, and tasks are often contrived

  • can trigger demand characteristics

  • findings struggle to generalise beyond lab setting limiting real world applicability

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animal study - ethics

  • speciesism argument by singer

  • suggests inflicting suffering on animals is a form of discrimination, especially when findings may not generalise to humans due to significant biological and cognitive differences

  • research fails to meet a positive cost benefit ratio, leading to a call for more human centric alternatives

  • researchers must adhere to the BPS 3Rs framework - replace animals with computer models where possible, reduce no. animals used to minimum, refine procedures so least suffering

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animal study - generalisability

  • issue of extrapolation

  • profound qualitative differences in brain structure, cognitive processing and social complexity

  • humans have more developed prefrontal cortex, complex language abilities and more heavily influenced by conscious intentions and cultural norms - factors absent in other species

  • lack population validity when applied to humans limiting usefulness by providing a misleading or incomplete picture of the multifaceted nature of humans

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case studies

  • unrepresentative - focus on one individual or experience meaning the findings are hard to generalise to the wider ‘normal’ population

  • researcher bias - LT clinical relationships can lead to the researcher losing objectivity, potentially interpreting data to fit their own theory

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longitudinal studies

  • attrition rates - participants often drop out over time and those staying until the end might be a specific type of person (ie more motivated) which biases the final results

  • cohort effects - results might only apply to that specific generation or group of people because of the unique historical time they grew up in

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meta-analysis

  • file drawer problem, publication bias - if it only looks at published studies, the conclusion may be biased

  • method consistency - studies may use slightly different procedures so the data may not be standardised

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lacks generalisability final sentence

caution is needed when applying the findings to the general population, limiting external validity

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determinism/reductionism final sentence

…… underestimates the complexity of human behaviour by failing to acknowledge the role of …… in determining how we ……

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lab studies final sentence

they dont capture the complexity of every day behaviour as ……. may behave/be different in natural settings