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research methods lecture 4

Adrian Mayer English 19 cards

Cards in this deck (19)

  1. 1A document addressing the rationale, background, objective(s), methodology, analyses, and all relevant ethical aspects of a research project involving human participants.Research plan
  2. 2Data that can lead to the identification of a person. Note that the law also distinguishes especially sensitive personal data, to which additional rules applyPersonal data
  3. 3purporting that research will achieve goals that it is unlikely to realize, participants do not have capacities to evaluate these claims and thus must receive accurate informationHyper claiming
  4. 4falsely establishing a causal relationship to promote researchCausism
  5. 5Characteristics and Consequences of Causimabsence of an appropriate evidential base; (b) presence of language implying cause (instead of appropriate e.g. related to) and (c) selfserving benefits to the casuist. Distorts recruitment basis
  6. 6Fabricated data; or dropping of data that contradicts researcher’s biasdata dropping
  7. 7Omission should be reported for whatoutlier rejection
  8. 8Omission of entire subset of data should be reportedSubject selection
  9. 9the balance between self-serving chasing of Pvalues and thorough analysis of expensive dataExploitation Is Beautiful: Snooping in data
  10. 10Failure to perform meta-analyses is unethical because it drops opportunity to retroactively improve utility of prior researchRetroactive increase of Utilities
  11. 11Not citing data that has not been peer reviewed yet, which still should be available for, say, meta analytic reviews as long as it was properly acquired - Failing to report data that contradict own hypothesis, or earlier Research - Bottom line is: Everything should be reported and made availableself-censoring
  12. 12- Bad methodology should not be published and will be censored via gatekeepers (e.g. peer reviewers) - It is bad ethics/bad science to not publish implausible/unfavorable resultsExternal censoring
  13. 13different Experimenters get differing results by highly comparable subjects. Thus, the fluctuation in results may be (partly) attributable to effects by respective ExperimentersExperimenter Effects / Bias
  14. 1418% of variance accounted for by expectancy; under more usual conditions of a psychological experiment, Es expectation determines the magnitude of data the Experimenter will obtain substantiallyE-Expectation
  15. 15Expectancy induced by more prestigious figure may be more influential as expectancy created independentlyBias Origin
  16. 16the totality of cues towards the experimental hypothesis by which subjects are motivated to confirm the hypothesis (in a problem-solving mannerDemand characteristics of the experimental situation
  17. 17factors that affect the subjects’ response to the well-defined stimuli and experiment as conducted as a physical experimentexperimental setting
  18. 18Experimenters notice trends when collecting data, this influences their hypothesis and further testingEarly Data Returns
  19. 19Extent to which an experimenter’s own performance on a test determines his participants’ performance on the same taskModelling effects

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Flashcards on research methods lecture 4, created by Adrian Mayer on 22/06/2019.
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Adrian Mayer
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