Cream Pack 2 Flashcards
What is correlational research?
Correlational research collects data to investigate the extent to which two variables are associated.
Define the term Co-variables:
Co-variables are the two variables in a correlational study which have been measured.
What is correlational analysis?
Correlational analysis is a data analysis technique that simply describes the relationship between two covariables in statistical terms. There are two main types of correlation relationship- positive and negative correlations.
What is a positive correlation?
A positive correlation is one where higher values on one variable are associated with higher values on another variable OR Low values of one variable are associated with low values on the other variable.
What is a negative correlation?
A negative correlation is one where high values on one variable associated with low values on the other variable.
What is a scatter diagram?
A scatter diagram is a visual representation of (a graph of) a correlation relationship.
When each point is plotted it provides a visual description of the relationship between the two variables.
What does the correlation coefficient tell us about the data?
This number tells us the strength of the correlation and the direction (whether it is positive or negative)
What are the number ranges of correlation coefficients?
A correlation coefficient can be any number between -1 and +1.
Correlations can be expressed in a numerical way using statistical tests to analyse data.
The results of these calculations as a number called….
A Correlation coefficient
How would you describe a correlation coefficient between 0.0 to 0.3?
Weak
How would you describe a correlation coefficient between 0.3 to 0.7?
Moderate
How would you describe a correlation coefficient above 0.7?
Strong
How would you describe a correlation coefficient of 0.0?
No correlation
Give three strengths of correlational studies
- correlational studies allows the identification of relationships between variables when it’s difficult for practical reasons or unethical to manipulate the variables.
- if there is a relationship between two variables it can be a starting point for stimulating future research.
- correlational studies is scientific in that it tends to be objective and easily replicable using quantitive data collection methods also making it more reliable. A correlation coefficient is an objective way to describe the strength of a relationship between two variables.
Give three weaknesses of correlational studies
• In correlational studies there is little control over the variables so cause-and-effect links cannot be established. This limits how scientific correlational studies can be as establishing cause-and-effect is an important standard of science.
• The two co-variables may not be measured in a valid manner. (One variable eg.
depression may be hard to quantify)
•Correlations can be misused.
They simply tell us that a relationship exists between two variables and so it is very difficult to make accurate conclusions about the causes. Media and governments can make huge claims from correlational studies when in reality the relationship could mean something completely different.
What is internal validity in correlations?
The extent to which 2 co-variables have actually measured and give a true reflection of the behaviour being researched.
Memory capacity decreases with age.
Is this a positive a negative correlation?
Negative
The more extrovert someone is the more noise they make at parties.
Is this a positive a negative correlation?
Positive
The more anxious someone is the less they eat.
Is this a positive a negative correlation?
Negative
The use of Google to search the web decreases of age.
Is this a positive a negative correlation?
Negative
State a correlation coefficient that would indicate a perfect correlation.
-1.0 or +1.0
What is observational research?
the observation and recording of a person’s freely chosen behaviour.
What are the two ways observational research can be used?
- research methods where there is no hypothesis; instead a research question.
- data collection techniques in experiments
What are the two main types of observational research?
- Naturalistic
* Structured
What are naturalistic observations?
Naturalistic observations are when the behaviour is studied in its natural setting and the environment is left as it normally is without any manipulation by the researcher.
What are structured observations?
Structured observations are when some of the variables including the environment are controlled.
These observations still aim to capture freely chosen behaviour but the situations may be set up or structured in someway.
Name the Features of observational research:
Naturalistic OR Structured
Participant OR Non-Participant
Covert OR Overt
Collecting quantitative data OR Collecting qualitative data
Explain the difference between structured
and naturalistic observations.
In structured observation, the researcher decides on the conditions. They often choose the setting, and may control some of the variables. Where as in naturalistic observations, spontaneously occurring behaviour that takes place in its normal setting is observed, and no variables are controlled.
Define Reliability
When research is replicated and findings are produced consistently over a number of investigations.
Define ecological validity
The extent to which a research finding obtained in one environment can be generalised to a different environment
Define validity
The accuracy of the measurement or operationalisation of the variables and refers to the extent to which a study has measured what it claims to measure.
What are the advantages of structured observation?
•More control over environment which leads to more
accurate observations - due to standardised
procedures
• This also means easier to replicate =higher reliability
• Can control some confounding variables
What are the disadvantages of structured observation?
- Controlled setting and procedures means Lower ecological validity
- If setting unfamiliar - may affect behaviour
- Cause and effect cannot be established
What are the advantages of naturalistic observation?
- Setting is natural so High ecological validity as the results are more generalisable to real life.
- Useful if ethical considerations prevent the manipulation of variables
- Can potentially gather rich and meaningful data =valid
- Used to generate ideas for experimental studies
What are the disadvantages of naturalistic observation?
• Participant awareness is a extraneous variable that is difficult to control therefore a threat to
validity.
- Difficult to control confounding variables= Difficult to replicate = reliability lowered.
- Cause and effect cannot be established
- Subjectivity of observer
- Ethical problems of consent, invasion of privacy, right to withdraw and deception if hidden
What are participant observations?
Participant observations involve the observer becoming part of the group being observed either covert or overt.
What are non-participant observations?
The observer are not part of what is being observed and can even be hidden watching through a one way mirror or video.
What are the advantages of participant observation?
•first- hand accounts/data - more insight and understanding of what is happening leading to higher validity
•High ecological validity if people are just going
about their business as normal.
What are the disadvantages of participant observation?
•Difficult to record data as behaviour happens = lowers accuracy / validity
• Observer gets too involved = More likely to be
subjective
- Observer may alter behaviour of group - lowers validity
- Ethical issues - e.g., when covert deception/ invasion of privacy
What are the disadvantages of non-participant observation?
•Observer may not understand what is happening = Less
detailed insight = lower validity
• Ethical issues are raised = invasion of privacy; consent; right to withdraw
What are the advantages of non-participant observation?
- Accuracy of observations is higher as observers can focus on data collection increasing validity.
- Observer has no role in it so more likely to be objective.
What is a covert observation?
Participants don’t know they
are being observed
What is a overt observation?
Where the participants are aware they are being observed.
What are the advantages of a covert observation?
•Unaware they are being studied so behaviour is more natural - higher validity
•The observer can record data without
being concerned about the effect this will
have on participants : demand
characteristics lower
What are the disadvantages of a covert observation?
•Ethical issues raised due to difficulties in gaining consent;
debriefing; deception; no right to withdraw; Invasion of
privacy- participants may be distressed if they learn they have been
secretly observed ( but this is allowed if in public place )
•Practical problems : not easy to observe behaviour secretly as it difficult to find a suitable position where notes can be
made
What are the disadvantages of a overt observation?
- behaviour may change - e.g. increased effects of demand characteristics; social desirability
- Overt observer may be distracted by participants and so data recorded may be lose some accuracy
What are the issues in Observational Research?
- Reliability: Researcher effects in the way the observed behaviour is interpreted can lead to low inter-observer reliability.
- Validity: if behaviour checklists are flawed or vague leading to behaviour belonging to more than one category or observer bias leading to subjective interpretations can both reduce validity of the observation.
How can we deal with threats to reliability?
Pilot studies can used to train observers in the use of the recording systems. After practice their observations should show a high inter-observer reliability.
What is inter-observer reliability?
The extent to which the recorded observations of two observers are consistent.
How can we deal with threats to validity?
- Behaviour observed must be very clearly operationalised.
- Behaviour checklist must be carefully planned and piloted to ensure they measure what was originally intended.
- Using more than one observer and conducting observations in varied settings will reduce observer bias.