Research Methods (AS) PAPER 1 Flashcards

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1
Q

Explain the difference between the aims of a study and a hypothesis

A

Aims is what the researcher intends on finding out whilst hypothesis is a testable statement about the relationship between the variables

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2
Q

Explain what is meant by operationalisation

A

ensuring the variables are in a clear form that can easily be tested.

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3
Q

Explain why standardisation is important in research procedures

A

it makes sure that each participant did the exact same thing in each condition

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4
Q

What does IV and DV do

A

IV - changes (manipulated)
DV - measured

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5
Q

Briefly explain why it is important to control extraneous variable in a study

A

they might be important enough to give alternative explanations for the effects of the study

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6
Q

Differentiate between extraneous and confounding variables

A

extraneous is any type of variable that you are not investigating that can impact the DV but confounding variables is a type of extraneous variable and can impact both IV and DV

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7
Q

Explain what a pilot study is and how improvements can be made

A

A small scale trial run of the study to test any aspects of the design, with a veiw to making improvements. improvements can be made by finding out if people respond to directions from someone based on there outfit, change IV

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8
Q

distinguish between non directional and directional hypothesis and why a researcher would rather choose non directional

A

non directional states that there is a difference between the two groups but does not state the direction of the difference

directional states the difference and direction of difference between the two groups

researcher would prefer non directional if they are researching a new area that hasnt been studied yet

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9
Q

Explain repeated measures design, a limitation of it and how to deal with the limitation

A

repeated measures design is when all participants recieve all levels of the IV (ppts do a memory test with the TV on then a week later do a similar test with the TV off)

limitation - order effect
- ppts might get bored of same study and do worse
- ppts have practice and are less nervous so might do better

how to deal - counterbalancing
- divide ppts into 2 groups
- take part in each condition twice

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10
Q

Explain independent groups design, a limitation of it and how to deal with the limitation

A

independent groups design is when ppts are placed in separate groups, and each group does one level of the IV (group A does the task with the TV on and group B does the task with no TV)

limitation - participant variables
- one group might have better memory recall

how to deal - randomly allocate
- names in hat

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11
Q

Explain matched pairs design, a limitation of it and how to deal with the limitation

A

matched pair design is when you match participants on key characteristics to affect the performance of there DV. one member goes to group A and the other member goes to group B

limitation - time consuming

how to deal - conduct a pilot study to identify key variables that might be important when matching

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12
Q

identify two differences between lab and feild experiments

A

1) lab is carried out in a controlled setting e.g a lab whilst feild is carried out outside a lab

2) lab has low ecological validty whilst feild has high ecological validity

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13
Q

explain one similarity between lab and feild experiments

A

they both manipulate the IV to measure the effect on the DV

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14
Q

Briefly explain what is meant by quasi and natural experiements

A

quasi - IV is naturally manipulating
natural - IV is not manipulated

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15
Q

Explain what is meant by demand characteristics

A

a cue that helps participant work out what the research expects to find

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16
Q

Explain what is meant by investigator effects

A

anything that the investigator does that has an effect on the participants performance

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17
Q

How might a researcher deal with the effects of demand characteristics

A

deception, hide the purpose of the study from the participant

18
Q

Explain the difference between a population and a sample

A

population - group of people the researcher is intrested in
sample - a group of already selected ppts

19
Q

explain a limitation in opportunity sampling

A

opportunity smaple is recruiting the first person you see, you cant get a variety of people as it is drawn from a small part of the population

20
Q

explain what is meant by generalisation

A

applying the findings of a particular study to the population

21
Q

give one limitation of using volunteer sampling

A

volunteer bias, they might be highly motivated to be helpful with time on there hands, or if they need the money

22
Q

explain one way psychologists have dealt with ethical issues

A

deception - participants should be fully debriefed after the study, informing them of the tru nature of the study

23
Q

One difference between naturalistic and controlled observation

A

naturalistic - observation carried out in a natural setting
controlled - observed under organisation of researcher

24
Q

Explain the difference between event and time sampling

A

event - records of the amount of times a behaviour is repeated.
time - observer records behaviour in a given time frame

25
Q

Explain one difference between a structured and unstructured interview

A

structured - questions are already decided in advance
unstructured - interviwers can ask follow up qs

26
Q

Explain one difference between a questionnaire and an interveiw

A

questionnaire - data collected through written questions
interveiw - data collected face to face interactions

27
Q

Difference between closed and opened questions

A

closed - possible answers is fixed e.g yes/no
open - provide written response

28
Q

Identify and briefly explain 2 factors that are important in questionnaire construction

A

sequence of the questions - start of easy and end with the harder qs
pilot study - questions can be tested on a small group and can be refined later

29
Q

Identify and briefly explain 2 factors that are important in the design of interveiws

A

non verbal communications - nodding and leaning forward
listening skills - not interrupt to often and have encouraging phrases

30
Q

explain what is meant by zero and negative correlation

A

zero correlations - variables are not linked
negative correlations - one co variable increases the other one decreses

31
Q

Identify one measure of central tendancy and explain how to calculate it for a set of data

A

mean - add up all the data values and divide it by the number of data items

32
Q

Identify one measure of dispersion and explain how to calculate it for a set of data

A

Range -the distance between top and bottom plus 1

33
Q

Explain why it may be better to know the standard deviation of a data set rather than the range

A

more accurate at presenting dispersion

34
Q

Explain quantitive and qualitative data

A

quentitative is numerical and closed ended questions whilst qualitative is open ended questions

35
Q

distinguish between primary and secondary data

A

primary data is data you collect yourself
secondary data is data collected by someone else

36
Q

explain when a sign test should be used

A

test of difference, looking at related design (matched pairs/repeated measures) and nominal data

37
Q

outline one example of how psychological research has been used to benefit the economy

A

Atachment - the importance of emotional care during childhood to promote healthy adult population

38
Q

Explain the difference between overt and covert observations

A

overt is when ppts know there behviour is being studied whilst covert is observing someone without there knowledge

39
Q

explain one limitation of meta analysis

A

research designs in different studies may vary, studies are not truly compatible.

40
Q

discuss features of science

A

(People That Hate Fucking Really Old Earlobes)

  • PARADIGM - Kuhn, shared set of assumptions and methods within a scientific discipline
  • PARADIGM SHIFT-Kuhn, scientific revolution where you question the accepted paradigm

THEORY CONSTRUCTION - gathering an explanation and evidence for the causes of behaviour

  • HYPOTHESIS TESTING - producing statements to be tested
  • FALSIFIABILITY - Popper, theory cannot be considered scientific unless it has possiblity of being proved untrue - EXAMPLE freuds psychodynamic theory of unconcious cannot be tested, lacks falsifiability, may not be considered scientific
  • REPLICABILITY - scientific findings can be replicated by other researchers
  • OBJECTIVITY - researchers must not let personal opinion bias data or ppts - most objective is lab experiments
  • EMPIRICAL METHOD - objectivity is the basis of empirical method, gathering evidence through direct observations