Research methods - PYSA1

HideShow resource information
View mindmap
  • Research methods - PYSA1
    • Week 1: Investigation design
      • DV- The variable that is measured
      • IV- The variable manipulated or controlled by the experimentor.
      • Null hypothesis- The predicion that there is no difference and any difference will be due to chance alone
      • Nominal data- frequency something occurs
      • Ordinal data- data that can be placed into rank order
      • Ratio Data- data generated using set standards
      • Pilot study- pre experiment test that checks that the experiment is in working order before the actual research takes place
      • Internal Validity-  the extent to whihc the experiment is testing what it was meant to
      • External validity- the extent to which the finsings can be generalised
      • Demand characteristics- particular features of the experiment that may make participants behave in a certain way
      • Single blind and double blind procedures
      • Random sampling- uses random numbers or computer generators
      • Oppurtunity sampling- sampling whoever was availiable
      • Voulenteer sampling- involves partivipants who voulenteer
      • Ethical issues- Deception, inormed consent, protection of participants, deception.
      • Quantitative Data- data measured on a numerical scale
      • Qualitative data- extremely varied text data.
    • Week 2: Experimental Method
      • Lab experiments- allow cause and effect to be established
      • Lab experiments- not ecologically valid and artificial
      • Field experiments- greater mundane realism than lab experiments
      • Field experiments- ethical issues such as informed consent
      • Natural experiments- very high ecological validity
      • Natural experiments- Cause and effect cannot be established
      • Repeated measures- AD: Individual differences are reduced DISAD: order effects can apply
      • Independant group design: AD: Less likewly to guess the demand characteristics DISAD: Individual differences
      • Matched participants: AD: Individual differences are minimised. DISAD: Difficult and time conduming
    • Week 3: The non experimental method
      • Alternate hypothesis: Tests for a relationship between two variables
      • Correlational Analysis: used when looking at the relationship between two variables. AD: shows direction and strength or relationship DISAD: casuse and effect cannot be established
      • Naturalistic observations: observing behaviour in a natural enviroment
      • Controlled observations: reseacher sets up a situation to be observed
      • Observations: AD- Relitivally easy to do DISAD- ethical issues such as informaed consent
      • Questionarres: Gather data by asking a representative sample of poeple the same questions about particular attitudes, opinions calues and beliefs
      • Interviews: one to one conversation about personal topics such as thoughts, feelings and behaviours
      • Case studies: detailed in depth investigation into a single case , a group of people or an event
      • Case study: AD- useful when researching rare/ unique topics  DISAD- difficult to generalise results
      • Interviews: AD- can yeild rich and in depth data DISAD- researcher bias
      • Questionarres: AD- cheap and easy to do.       DISAD- participant reactivity
  • Aletrnate hypothesis- A clear testable statement about the outcome of the experiment
    • Week 1: Investigation design
      • DV- The variable that is measured
      • IV- The variable manipulated or controlled by the experimentor.
      • Null hypothesis- The predicion that there is no difference and any difference will be due to chance alone
      • Nominal data- frequency something occurs
      • Ordinal data- data that can be placed into rank order
      • Ratio Data- data generated using set standards
      • Pilot study- pre experiment test that checks that the experiment is in working order before the actual research takes place
      • Internal Validity-  the extent to whihc the experiment is testing what it was meant to
      • External validity- the extent to which the finsings can be generalised
      • Demand characteristics- particular features of the experiment that may make participants behave in a certain way
      • Single blind and double blind procedures
      • Random sampling- uses random numbers or computer generators
      • Oppurtunity sampling- sampling whoever was availiable
      • Voulenteer sampling- involves partivipants who voulenteer
      • Ethical issues- Deception, inormed consent, protection of participants, deception.
      • Quantitative Data- data measured on a numerical scale
      • Qualitative data- extremely varied text data.

Comments

No comments have yet been made

Similar Psychology resources:

See all Psychology resources »See all Research methods and techniques resources »