Experimental Method

    Cards (100)

    • what is primary data
      data collected directly by the researcher, only for their investigation
    • what are positives of collecting primary data
      researcher has control over the design, data collection and can be designed specifically for their aim
      considered more trustworthy- greater validity
    • what are negatives of collecting primary data
      can be expensive- has to organise material, find participants, run study etc
      limited to the time, place and number of participants
    • what is secondary data
      information that has been collected previously by someone else other than the researcher, not specifically for the purpose of the investigation
    • what can secondary data be (2 types)
      qualitative and quantitative
    • examples of qualitative data
      diaries, newspapers, gov reports
    • what is quantitative data
      numerical data
    • what is meta-analysis
      combination of results of multiple studies addressing a similar research question (quantitative)
    • positives of meta analysis (4)
      a lot of secondary data is available, often easier to work with
      sometimes documents and official statistics are the only means of researching the past
      official statistics could be useful to make comparisons over time
      identify outliers
    • negatives of meta analysis
      limited to whats available
      subject to the original researchers biases
      docs might not represent the wider population
      the way things are measured change over time
    • what does quantitative data involve
      the process of objectively (by urself) collecting and analysing numerical data to describe, predict or control variables of interest
    • what are the goals of quantitative research
      to test causal relationships between variables, make predictions and generalise results to the wider populations
    • what does qualitative data represent
      info and concepts that arent represented by numbers
    • how is qualitative data often gathered
      interviews, focus groups, personal diaries, lab notebooks, maps, photos, observations etc
    • what is the aim of a study
      a statement of what the researcher wants to investigate
    • what is a directional hypothesis
      indicates a direction in the prediction, often caused by previous research that supports the prediction
    • what is a non-directional hypothesis
      indicates no direction in the prediction, often because of no previous research- doesnt know what will happen
    • what is an independent variable (IV)
      the variable that the researcher manipulates, which has a supposed effect on the DV
    • what is a dependent variable (DV)
      the variable that is measured after manipulating the IV
      this is the data collected
    • how can you be confident on the causality of manipulating an IV
      additional variables should be controlled
    • when is a causal relationship established
      if the IV is found to directly influence the DV
    • types of research methods (7)
      correlation
      observation
      questionnaire
      interviews
      content analysis
      experiments
      case study
    • what is operationalisation
      clearly defining variables in terms of how they can be measured (specific and measurable)
    • positives of collecting quantitative data
      less likely to be bias
    • negatives of collecting quantitative data
      takes a long time to collect
      outliers can effect results
      doesnt show a reason for the data
    • positives of collecting qualitative data
      more detailed
      no bias
      validity
    • negatives of collecting qualitative data
      researcher bias influences results
    • what is a hypothesis
      a prediction of outcome which can be verified or disproved by an experiment
    • what are extraneous variables
      variables the arent the IV but MAY affect the results of the experiment
    • what is a situational variable
      aspects of the environment that may affect the participants behaviour
    • examples of situational variables
      noise, temperature, lighting conditions
    • what is a participant variable
      different characteristics of an individual that may affect the DV
    • examples of a participant variable
      concentration, mood, intelligence, anxiety, nerves
    • what is a confounding variable
      if extraneous variables arent controlled they become confounding variables, as they go on to create the same results as the IV
    • what are the 3 types of experimental designs
      independent group design
      repeated measures
      matched pairs
    • what is an independent group design
      group of participants are recruited and randomly divided into 2 groups
      1 group does the task for IV1, 2nd group does the task for IV2
      DV is measured, and results are compared
    • what happens in a repeated measures design
      a group of participants are recruited, and they all do the task for IV1
      the same group of people do the task for IV2
      DV is measured and results are compared
    • what is the matched pairs design
      a group of participants are recruited and within the group, participants are 'matched' together based on a relevant factor (e.g. age/gender/health condition)
      the rest of the experiment is treated like an independent group design : each participant is randomly allocated to separate groups to do a different IV
    • what is an experimental condition
      a level of the IV is manipulated by the researcher in order to assess the effect on a DV
    • what is a control condition
      a factor in the experiment that doesnt involve exposure to the thing under study
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