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