Strengths of this data type Allows direct comparison of scoresparticipants in

Strengths of this data type allows direct comparison

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Strengths of this data type: • Allows direct comparison of scores/participants in different conditions/ if study is replicated. • Highly objective, as questionnaires/ scales used need little to no interpretation- high validity. • High reliability as measures are fixed quantities. • Data can be easily analysed & compared using measures of central tendency & spread. Weaknesses of this data type: 5
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12) Methodological issues: a) Reliability: Is the study replicable? How consistent is the measure (instrument/questionnaire used)? Does it have a standardized procedure? Yes – standardized b) Validity: Is there something getting in the way of measuring what they wanted to measure, eg. Extraneous variables, demand characteristics, social desirability? Deception – suproxin thingy – less demand characterstics c) Ecological validity: How relevant is the study/results to real life? Low – lab artificial setting – props are uncommon as 6
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well 15) Ethical issues: Were any ethical guidelines broken/ how were they maintained? Deception/confidentiality/debrief/withdrawal/ informed consent/ privacy/ protection Deception – suproxin 16) Other evaluations relevant to the study: Pick the key evaluations for this study & comment on how they are an issue, eg. how the study might be reductionist? Remember to try & offer balanced evaluations (such as how it is both high & low in ecological validity). Ethnocentrism Reductionism Nature/nurture Individual/situational Application/usefulness Generalizability Psychometrics Use of animals Use of children 7
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