Experimental method. Types of experiment, laboratory and field experiments; natural and quasi-experiments.

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Last updated 9:14 PM on 5/19/26
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52 Terms

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What are the Types of Experiment?

  • Laboratory experiment.
  • Field experiment.
  • Natural experiment.
  • Quasi experiment.
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What is an Experiment?

  • Research method where researcher manipulates an IV and measures effect on a DV.

  • Main aim is to establish cause and effect.

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What is an Independent Variable (IV)?

  • Variable manipulated or changed by the researcher.
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What is a Dependent Variable (DV)?

  • Variable measured by the researcher.
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What is Operationalisation?

  • Clearly defining variables so they can be measured objectively.
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Why is Operationalisation Important?

  • Makes variables measurable.
  • Improves reliability because procedures can be replicated consistently.
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Example of Operationalisation

  • Aggression operationalised as number of punches thrown in 10 minutes.
  • Intelligence operationalised as IQ score out of 100.
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Why are Experiments able to establish Cause and Effect?

  • Researcher manipulates IV.
  • Researcher measures DV.
  • Extraneous variables can be controlled.
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What is a Laboratory Experiment?

  • Experiment conducted in highly controlled artificial environment where researcher manipulates IV.
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Example of a Laboratory Experiment

  • Participants drink caffeine in lab before completing memory test.
  • IV = amount of caffeine.
  • DV = memory score.
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Strengths of Laboratory Experiments

  • High control over extraneous variables improves internal validity.
  • Standardised procedures make studies easier to replicate increasing reliability.
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Why do Laboratory Experiments have High Internal Validity?

  • Researchers can control extraneous variables.
  • Makes it more likely IV caused changes in DV.
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Limitations of Laboratory Experiments

  • Artificial setting may reduce ecological validity.
  • Participants may show demand characteristics.
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Why do Laboratory Experiments often have Low Ecological Validity?

  • Artificial environments may not reflect real life behaviour.
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What are Demand Characteristics?

  • Participants guess aims of study and alter behaviour.
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What are Investigator Effects?

  • Researcher behaviour unintentionally influences participants.
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What is a Field Experiment?

  • Experiment where IV is manipulated in natural real-world setting.
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Example of a Field Experiment

  • Researchers change supermarket music and measure customer spending.
  • IV = type of music.
  • DV = amount spent.
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Strengths of Field Experiments

  • Higher ecological validity because behaviour is more natural.
  • Reduced demand characteristics because participants may not know they are being studied.
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Why do Field Experiments usually have Higher Ecological Validity?

  • Behaviour occurs in more realistic natural settings.
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Limitations of Field Experiments

  • Less control over extraneous variables reducing internal validity.
  • Difficult to replicate because natural environments constantly change.
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Why do Field Experiments have Lower Reliability?

  • Natural settings are difficult to standardise and replicate consistently.
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Ethical Issue with Field Experiments

  • Participants may not provide informed consent because they are unaware they are being studied.
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What is a Natural Experiment?

  • Experiment where IV naturally occurs and is not manipulated by researcher.
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Example of a Natural Experiment

  • Comparing people affected by flood with those not affected.
  • Flood acts as IV.
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Strengths of Natural Experiments

  • Useful when variables cannot be ethically manipulated.
  • Often have high ecological validity because situations are naturally occurring.
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Why are Natural Experiments useful in Psychology?

  • Some variables such as trauma or disasters cannot ethically be manipulated by researchers.
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Limitations of Natural Experiments

  • Very little control over extraneous variables.
  • Difficult to establish cause and effect confidently.
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Why is Cause and Effect harder to establish in Natural Experiments?

  • Extraneous variables may influence DV.
  • Participants cannot usually be randomly allocated.
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What is a Quasi Experiment?

  • Experiment where IV is based on pre-existing participant differences.
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Example of a Quasi Experiment

  • Comparing aggression levels in males and females.
  • Gender acts as IV.
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Strengths of Quasi Experiments

  • Useful when participant variables cannot be manipulated.
  • Often involve naturally occurring behaviours increasing realism.
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Limitations of Quasi Experiments

  • Participants cannot be randomly allocated to conditions.
  • Less control over participant variables reduces internal validity.
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Difference between Natural and Quasi Experiments

  • Natural experiments use naturally occurring events/situations as IV.
  • Quasi experiments use pre-existing participant characteristics as IV.
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Examples of Naturally Occurring Events in Natural Experiments

  • Floods.
  • Pandemics.
  • School changes.
  • Natural disasters.
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Examples of Pre-existing Participant Characteristics in Quasi Experiments

  • Gender.
  • Age.
  • Autism diagnosis.
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What is an Extraneous Variable?

  • Any variable other than IV that could affect DV.
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Example of an Extraneous Variable

  • Noise distracting participants during memory test.
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Why are Extraneous Variables a Problem?

  • May influence DV and reduce validity of findings.
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What is a Confounding Variable?

  • Uncontrolled extraneous variable that actually affects DV.
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Why are Confounding Variables a Serious Problem?

  • Makes it unclear whether IV caused changes in DV.
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How do Researchers establish Control in Experiments?

  • Standardised instructions.
  • Same environment for participants.
  • Random allocation.
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What is Random Allocation?

  • Randomly assigning participants to experimental conditions.
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Why is Random Allocation Important?

  • Reduces participant variables.
  • Improves internal validity.
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Example of Random Allocation

  • Participants assigned to groups using names drawn from hat.
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What is Standardisation?

  • Keeping procedures identical for all participants.
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Why is Standardisation Important?

  • Improves reliability because study can be replicated consistently.
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Difference between Laboratory and Field Experiments

  • Laboratory experiments occur in controlled artificial settings.
  • Field experiments occur in natural settings with less control.
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Which Type of Experiment has Highest Control?

  • Laboratory experiments because extraneous variables can be controlled more effectively.
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Which Type of Experiment usually has Highest Ecological Validity?

  • Field and natural experiments because behaviour occurs in realistic settings.
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Which Type of Experiment is easiest to Replicate?

  • Laboratory experiments due to standardised controlled procedures.
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Difference between Experiments and Correlations

  • Experiments manipulate IV and establish cause and effect.
  • Correlations measure co-variables and cannot establish causation.