Methodology Research Designs

Cards (34)

  • Explain experimental methods of research:
    • Establish a causal relationship between variables
    • Independent variable can be manipulated
    • Cause and effect relationship can be found
    • Participants randomly allocated
  • Describe the experimental group of experimental research:
    A group of participants exposed to the IV
  • Strengths of experimental research:
    • Researcher can have control over variables
    • Cause and effect relationships can be found
  • Limitations of experimental research:
    • Having controlled environment (such as laboratory environment) reduces realism and may impact participant behaviour
  • Explain non-experimental research:
    • Independent variable CANNOT be manipulated
    • Cause and effect relationship CANNOT be found
    • Participant CANNOT be randomly allocated
  • Examples of non-experimental research methods:
    • Case studies
    • Observational research
    • Correlational studies
  • Example study of non-experimental research:
    Milgram's behavioural study of obedience (shock experiment) is non-experimental as there is no independent variable being manipulated
  • Explain what case studies are:
    In-depth investigations of a single person, group, event or community.
    Can use methods such as observations, tests and interviews
  • Advantages of case studies:
    • Allows researchers to gather rich data
    • High levels of ecological validity
    • Can suggest hypotheses for further research
  • Disadvantages of case studies:
    • Difficult to generalise findings from one instance to the general population
    • Time consuming
    • Difficult to replicate
    • Possibility of researcher bias
  • Explain observational research:
    Type of technique used to study behaviour (e.g., Ainsworth's strange situation studies)
    Method used: Researchers monitor participants and record notes
  • Strengths of Observational research:
    • Controlled observations can be replicated by other researchers
    • Participants are more likely to behave naturally rather than consciously or unconsciously act in a way that is socially appealing
  • Limitations of Observational research:
    • When the researcher only sees what they expect to see or records selected details - observer bias may occur
    • Participants may change their behaviour if they aware of being observed
    • Voluntary participation and informed consent are ethical guidelines that may be breached when participants are unknowingly observed in research
  • Explain correlational study:
    • Establishes the relationship between behavioural variables
    • Identifies whether there is an association between variables
    • Neither variable is manipulated
    • No casual relationship is established
  • Advantages of correlational study:
    • Can demonstrate the presence or absence of a relationship. Good for indicating areas where experimental research could take place and show further research
    • Can establish strength of a relationship between two variables and measure it precisely
  • Disadvantages of correlational study:
    • No cause and effect can be established as it is not certain that one variable caused another to happen. It could be one or the other or even an unknown variable
  • Is correlational study a research method?
    No it is not a research method, but a way of analysing data gathered by other means
  • What can strength be classified in a correlational study:
    Strong, moderate or weak
  • State the numbers for positive, negative and no relationship
    -1.0 = perfect negative relationship
    +1.0 = perfect positive relationship
    0 = no relationship
  • What happens if the coefficient is closer to 0?
    The weaker the relationship is between variables
  • List the ranges of correlation coefficient to strength of relationship
    0.00-0.29 = None (0.00) to weak
    0.30 - 0.69 = Moderate
    0.70 - 1.00 = Strong to perfect (1.00)
  • Describe positive correlation:
    Exists when two variables move in the same direction
  • Describe negative correlation:
    Relationship between two variables in which one variable increases and the other decreases, and vice versa
  • How is positive, negative and no relationship correlations displayed?
    Displayed in scattergrams (scatterplot) graphs or expressed as a correlation coefficient
  • Explain the strengths of scattergrams:
    • Strong correlation exists when two variables are measured and results show a strong linear relationship.
    • Shows strong association between behavioural variables.
    • Weak correlation exists when the data is more scattered from the directional line.
    • Shows weak association between behavioural variables.
  • Explain no correlation strength:
    • When there is no linear relationship between the variables, there is no correlation.
    • No relationship between behavioural variables
  • Explain longitudinal studies:
    • Data is collected more than once, using the same participants.
    • This period could be several days, weeks, years or even decades.
    • Example: Harvard study of adult development that followed 268 participants for almost 8 years
  • What is longitudinal studies mainly used for:
    Studying development trends across lifespan
  • Strengths of longitudinal studies:
    • Developmental trends can be studied over a lifetime
    • The frequency, timing or duration of events can be assessed
  • Limitations of longitudinal studies:
    • Takes a longer time to get results than with cross-sectional studies
    • Participants may drop out of the study along the way
  • Explain cross-sectional studies:
    • Data from participants is collected at one point in time
    • Participants may be from one sample or from a number of samples
    • Example: Australian Census
  • Strengths of cross-sectional studies:
    • Quicker to conduct than longitudinal studies as there is no follow-up periods required
    • Costs less to conduct than longitudinal studies
  • Limitations of cross-sectional studies:
    • Only a snapshot in time is chosen and results may differ if another time for collecting data was chosen
    • The sample size may not be large enough to generalize results to the population that the sample was taken from
  • Describe the control group of the experimental research
    Participants exposed to all conditions except IV