10 MARKS Flashcards

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1
Q

2 strengths of Andrade including qwuantative data

A

S= quantative data was collected e.g doodling was operationalized as shading shapes + number of shapes could be tallied =how much each ppt doodled + objective.
- The number of names + locations turned —> numerical monitoring performance score (correctable answers - false alarms) = objectively analysed
- data was objective = increases validity cause no observation/opinion needed = no experimenter bias

S= lab exp —> highly standerdized like all ppt listen to same monotonous voice recording for 2.5 mins + giving all ppt in doodling group same paper w printed shape = can be replicated exactly + tested for reliability

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2
Q

+ 2 weaknesses of Andrade

A
  • lacks mundane realism by operationalisng doodling as shading shapes = prevents ppt from doodling naturally —> results ma nit be generalizable to when ppl doodle normally (shapes)
  • study done in lab = lacks eco validity as ppl may be used to doodling at home/work —> low validity as task not representative of real life doodling
  • lacks generalizability as limited sample = ppt from same applied psychology unit at Plymouth Uni + recruited from another study
  • sample was gynocentric = 5 men/40 ppt
    As sample from same places = not representative to general population as small sample = low validity
  • gynocentric = not generalizable as 5 men may not be representative of all population,
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3
Q

Baron cohen two strengths including self reports

A

S= highly standerdized as ppt took eyes test w set of 36 Q’s + additional practice Q
- Q’s all same size, static, b+w of eyes with 4 options to choose a mental state from 3 similar semantic options
- ppt sat in quiet room + provided w glossary of terms incase of confusion w definitions of words = strict procedure -> easily replicable and test reliability

  • study was self reports = cheap/easy to produce = not very time consuming and in case of BC the info was quantitative —> quick + easy analysis w minimal interpretation/objective
  • singer ppt info remained confidential= social desirability factor decreased
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4
Q

BC two weaknesses s

A

-Validity is difficult to ensure that eyes test was measuring TOM = TOM compromises of 2 components; determine mental state + inferring contents of mental state
- study not very eco valid as images were static/ b+ w and not case in real life as eyes move and we judge based off tone/posture when judging mental states.

  • ethics with admin sting test as g1 (15 adult males w AS/HFA) struggled w eyes test = designed inteionally to challenge them —> caused distress/psychological harm as feel embarrassed
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5
Q

2 strengths of Laney including quantive data

A
  • Quanative data ppt had to do 5 questionnares’FHI which had 24 diff food items (critical item ‘you loved asparagus the first time you tried it” in 16th position)
  • ppt had to rate on scale 1-8 how likely event is to have occured before aged 10 = ppt did FHI both pre and post manipulation
  • as data is quantataive = analysis can be done to show comparison between pre and post manipulations = implantation of false memory + objective so no interpretation
  • lab experiment so high levels of control + used standerdized procedure = all ppt did same 5 questionnares (FHI,RQ,FPQ,FCQ,MBQ) + saw same 20 slideshows that lasted 30s per slide
  • PPt given food profile made to look tailored to them all had same 3 items including “you disliked spinach” apart from love group also got “you loved to eat asparagus” in 3rd
  • everything same apart from implantation of false memory = difference in results between love + control group = high validity
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6
Q

DESIGN OBSERVATION STUDY

A

MAJOR:
- Identification of behavioral categories
- Operationalisation of each behavioral category
- If observation is: NATURAL/CONTROLLED, STRUCTURED/UNSTRUCTURED, COVERT/OVERT,PPT/NON PPT
- Sampling technique/size
- how tallying done + data analysed (operationalised) e.g averages/bar charts
- ETHICS

MINOR:
- location of ppt when data collected (office/school)
- ppt/who

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7
Q

DESIGN FIELD EXP

A

MAJOR:
- DV, what is recorded + operationalised (how to measure)
- IV, how + operationalised (how to manipulate)
- Location e.g school

MINOR:
- Controls
- Sample + ppt (technique/size)
- experimental design
- description of data analysed e.g central tendency/bar charts
-ETHICS

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8
Q

CORRELATIONAL STUDY DESIGN

A

Major:
- Identifcation of variable 1&2
- How to measure variable e.g questions,test,observations
- Sampling techniuque/size
- closed questions scored/data analysed e.g scattergram
- ETHICS

MINOR:
- Location of ppt when data collected (clinics)
- ppt must fit DV/IV

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9
Q

DESIGN STRUCTURED INTERVIEW

A

MAJOR:
- Content of questions asked (open/closed)
- Interview SS detail (Structured/unstructured/semi SS)
- Style of Q’s (Open/closed)
- Location of ppt interviewed
- Sample technique,size, type of ppt

MINOR:
- lie questions
- how closed Q’s scored (operationalised)
- how quantative data from closed Q’s analysed (operationalised)
- how open Q’s interpreted (opertaionalised)
- ETHICS

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10
Q

DESIGN QUESTIONNARE

A
  • Control of Q’s asked (info age/beliefs)
  • How: open/closed
  • lie questions/filler questions
  • sampling technique + size
  • opertionlisation of how closed Q’s scored
  • operatiolised of how quant. Data from closed Q’s analysed
  • how open Q’s interpreted
  • ETHICS

MINOR:
- location of ppt when completing questionnare + how distributed
- range of age + style of Q’s

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