research methods

    Cards (104)

    • What is the definition of an aim in research?
      A general statement that describes the purpose of an investigation
    • What is the definition of a hypothesis?
      A statement made at the start of the study that clearly describes the relationship between variables as stated by the theory
    • What are the types of hypothesis used in research?
      Directional and non-directional
    • What is the difference between a directional and a non-directional hypothesis?
      A directional hypothesis states the direction of the difference/relationship, while a non-directional hypothesis states that there is a difference or relationship but does not specify the nature of it
    • When would a researcher use a directional hypothesis?
      When a theory or the findings of previous research studies suggest a particular outcome
    • When would a researcher use a non-directional hypothesis?
      When there is no theory or previous research, or if the findings from earlier studies are contradictory
    • What is the independent variable (IV)?
      Aspects of the experimental situation that are manipulated by the researcher to measure the effect on the dependent variable (DV)
    • What is the dependent variable (DV)?
      The variable that is measured by the researcher, which should be affected by changes in the independent variable
    • What is the definition of operationalisation?
      Clearly defining variables in terms of how they can be measured
    • What do we need in a good experiment?
      • A clear aim
      • A clear and testable hypothesis
      • Levels of the independent variable
      • Operationalisation of variables
    • What is the definition of an extraneous variable?
      Any variable other than the independent variable that may affect the dependent variable if not controlled
    • What is the definition of a confounding variable?
      A type of extraneous variable that varies systematically with the independent variable
    • What is meant by a demand characteristic?
      Any cue from the researcher or the research situation that may be interpreted by the participants as revealing the purpose of an investigation
    • How can demand characteristics affect research outcomes?
      They may lead participants to change their behavior within the research situation
    • What is an investigator effect?
      Any unwanted influence of the investigator on the research outcome
    • What may an investigator effect refer to?
      Expectancy effects and unconscious cues, including actions related to the design of the study
    • What are the two ways to minimize extraneous/confounding variables?
      • Randomisation
      • Standardisation
    • What is randomisation in research?
      The use of chance methods to reduce the researcher's unconscious biases when designing materials and experimental conditions
    • What is meant by standardisation in research?
      Using exactly the same formalised procedures and instructions for all participants in a research study
    • What is a participant variable?
      Any individual differences between participants which may affect the dependent variable
    • Give examples of participant variables.
      Age, gender, intelligence, motivation, concentration, personality
    • What is meant by a situational variable?
      Any features of the experimental situation that may affect the dependent variable
    • Give examples of situational variables.
      Noise, temperature, time of day, instructions, weather
    • What is meant by an experimental design?
      The different ways in which participants can be organised in relation to the experimental conditions
    • What are the three different experimental designs?
      • Independent groups
      • Repeated measures
      • Matched pairs
    • Explain the independent groups design.
      Participants are allocated to different groups where each group experiences one experimental condition, and the performance of the groups is then compared
    • Explain the repeated measures design.
      All participants experience all conditions of the experiment, and mean scores from each condition are compared to see if there is a difference
    • Explain the matched pairs design.
      Pairs of participants are matched on variables that may affect the dependent variable, and one member of each pair is assigned to condition A and the other to B
    • What are the limitations of the independent groups design?
      Participants in each group are not the same in terms of participant variables, which can act as a confounding variable
    • What are the strengths of the independent groups design?
      Order effects are not a problem, and participants are less likely to guess the aims of the experiment
    • How do we address the issue of participant variables in an independent groups design?
      By using random allocation to evenly distribute participants across conditions
    • What are the limitations of the repeated measures design?
      Order effects act as a confounding variable, and participants may guess the aims of the investigation
    • What are the strengths of the repeated measures design?
      Participant variables are controlled, leading to higher validity, and fewer participants are needed
    • How do we control the order effect in a repeated measures design?
      By using counterbalancing, where half of the participants take part in condition A then B, and the other half take part in condition B then A
    • What are the strengths of using the matched pairs design?
      Participants only take part in a single condition, so order effects and demand characteristics are less of a problem
    • What are the limitations of using matched pairs design?
      It is impossible to match participants exactly, and matching may be time-consuming and expensive
    • What are the four different types of experiment?
      • Lab
      • Field
      • Natural
      • Quasi
    • What is a laboratory experiment?
      An experiment conducted in highly controlled environments
    • What are the strengths of using a laboratory experiment?
      High control over confounding and extraneous variables, allowing for demonstration of cause and effect
    • What are the limitations of using a laboratory experiment?
      May lack generalisability due to low external validity and participants may exhibit unnatural behavior
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