Quantitative Research Methods Lecture 1

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31 Terms

1
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what types of evidence do we look at in psych

anecdotal and empirical evidence

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anecdotal evidence

evidence drawn from one’s own life or experiences

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empirical evidence

evidence based on science, objective and peer reviewed

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which evidence do psychologists like the most

empirical evidence

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what are the branches in psychology research

quantitative and qualitative research

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quantitative research

  • maths and statistics

  • numbers and data

  • objective and generalisation

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qualitative research

words, images, observations, focus groups, details understanding

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give an example of qualitative research 

interview first year students about their experience of UCT 

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give an example of quantitative research

provide 500 students with a survey asking them to rate UCT out of 100

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what is involved in psychological research

planning, methods, data collection, data analysis, report findings and theory building

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how do you select a topic when planning

  • look at everyday life

  • identify gaps

  • verifying or refuting an existing theory

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how do literature reviews guide us when planning 

literature reviews orientate us to what has been found previously, reveals gaps/weakness, reveals methods previously used 

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how must you formulate your research question

it must be answerable, ethical and practical

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what must you choose in you research methods

designs based on purpose of study and variables of interest, select sample

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variables

the things or characteristics we are looking at in our research

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independent variable 

influences another variable that is manipulated by researcher

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dependent variable

changes in response to independent variable being manipulated

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what must you consider when choosing your sample

  • who will the participants be

  • participants must suit the aim of the study

  • sample representative of the population interest

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representative sample

group of people selected from a population who have similar characteristics to that population

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statistical inference 

process of generalising information obtained from a sample to the whole population 

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why is it better to have a bigger sample

there is a greater chance of representing population

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name two types of sampling

probability and non-probability sampling

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probability sampling is composed of…

simple random and interval sampling

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simple random sampling 

assign number to each participant, e.g. draw no. from jar 

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interval sampling

  • assign number to each participant

  • select no. at equal intervals starting at a randomly chosen number

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stratified sampling

  • divide population into groups

  • conduct simple random sampling or interval sampling in each group

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multi-stage/cluster sampling

  • divide population into clusters

  • random select entire clusters to make up the sample

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non-probability sampling is composed of…

convenience, purposive and snowball sampling

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convenience sampling

select people closest as participants or post an ad and take the first x responders who suit criteria

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purposive sampling

researcher uses own judgement to select participants, selecting those who best suit the needs of the study

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snowball sampling 

  • researcher asks one person to participate 

  • that participant is then asked to recruit others who have similar characteristics to themselves