Research Methods
- Created by: jademarie96
- Created on: 22-04-15 20:06
Volunteer Sampling
- When the participants select themselves to take part in the study
* Easy and time efficient
* All participants will have consented
* Access to a variety of participants
* May produce a large sample
Sample may be biased - May be the same type of people who volunteer e.g students
Sample may not be valid
Sample may not be representative
Sample may show demand characteristics
Opportunity Sampling
- Sample collected by asking individuals who are available at the time and fit the criteria you’re looking for.
* Time efficient
* Cost effective Sample likely to not be representative May try to be seen as socially acceptable/demand characteristicsResearcher bis when selecting
Random Sampling
- Each member is chosen by chance and everyone has an equal chance of being selected.
* Avoids bias and researcher has no control * Law of probability says the sample is likely to be representative
Time consuming
Chance the sample may not be representative
Experiment
A SITUATION LOOKING AT CAUSE AND EFFECT AND INVOLVES MANIPULATING A VARIABLE.
Hypothesis
- A statement which can be tested to see whether or not it is true.
Research: general prediction ( not enough info to base an investigation on)
Alternate: Enough datail for the experiment to be carried out as components are operationalised. Meaning the variables are measurable
ONE TAILED: "There will be a significant increase..." The hypothesis has a clear direction.
TWO TAILED: "There will be a significant difference..." The hypothesis has no clear direction.
NULL: "There will be no significant difference..." The hypothesis predicts no difference whatsoever.
Variables
Independent Variable: The one you manipulate
Dependent Variable: The one you measure
Extraneaous Variable: Any factor excluding the independent variable which could affect the results (dependent variable).
Confounding Variable: A variable which cannot be controlled. (May do unethical to do so, or mya just be impossible).
Bias
Demand characteristics: Subjects try to make sense of the study they are participating in and adjust their behaviour accordingly.
Social desrability: Subject gives a response which fits in best with the general opinion or view of their peers.
Experimentor bias: The experimentor's expectations or preferences influence the outcome of a study.
Observer Bias: The presence of an observer may change the behaviour of those being observed.
Validity
Whether or not the study measures what it intended to measure.
Internal Validity: Whether the effects observed in the study are due to the manipulation of the independent variable and not another factor.
External Validity: Refers to the extent to which the results os a study can be generalised to other settings.
Face Validity: Whether the measuring tool appears to be doing what it should.
Ecological Validity: Whether the behaviour measured is representative of behaviour that naturally occurs.
Population validity: How well the sample can be used to generalise to the population as a whole.
Reliability
The consistency of findings: if the test was repeated using same method would the same results be achieved?
Internal reliability: How consistently a method measures within itself (using one test)
External reliability: The consistency of results over time which repeated
Inter-rater reliabilty: The consistency of different raters working on the same study within their findings
Test re-test method: Participants take same test of different occasions. a high correlation between test scores shows high reliability
Laboratory Experiment
Field Experiment
- An experiment carried out in the natural environment
* Can generalise findings
* High in ecological validity
* IV can still be manipulated
Time consuming
Confounding variables make harder to establish cause and effect
Quasi Experiment
- The experimentor does not manipulate the IV, it is naturally ocuring. Can be tested in the lab or in the field.
* High in ecological validity
* More ethical as subjects are not manipulated
Confounding environmental variables (cannot confidently determine cause and effect)
Have to wait for subjects which characteristics of IV to become available
Repeated Measures Design
Independent Measures Design
Different participants used in each condition
* No order effects
* Demand characteristics reduced as subjects only used in one condition
Individual differences may influence results
More subjects needed
Matched Pairs Design
Uses different paricipants in each condition however they are similar or matched on characteristics, e.g twins are useful.
* Extraneous variables are well controlled
* Individual difeerences reduced
Time consuming
Expensive
Controls
Standardisation: Method and all instructions made identical for each participant.
Counterbalancing: The researcher changes the order of task for each participant or conditions to try to control or lessen the impact of order effects.
Randomisation: The order of task is randomised in an attempt to control or lessen the impact of order effects.
Observation
To simply observe and record behaviour (no IV is manipulated)
Covert Observation
The subjects are unaware they are being observed
* No demand characteristics as unaware of study
* High in ecological validty
Unethical
Difficult to observe without being seen
Overt Observation
Subjects are aware they are being observed
* Ethical as they have given informed consent
* Easier to conduct
Demand characteristics as subjects may alter behaviour
Structured Observation
Researcher divises a checklist of the predetermined behaviours they are looking for. Provides qualitative data as the recurrence of behaviours displayed is recorded using a tally.
* Easy to analyse and draw conclusions
* Reliable
Researchers may miss interesting behaviours as not on checklist
Open to researcher bias
Unstructured Observation
Observer records all behaviours producing qualitative data.
* Provides the researcher with detail
* Less likely to miss important behaviours
Difficult to concerntrate for long periods of time and therefore may not witness all behaviours displayed
Event Sampling
Observers have predetermined set checklist of behaviours and observe a whole event, tallying behaviours when seen.
* Quantitative data
* Easy to analyse and draw conclusions from
Difficult to concerntrate for long periods of time
May miss important behaviours if not on checklist
Time Sampling
Observers watch for behaviours for set periods of time in between set intervals of time.
* More focused (Short periods of time)
Observations may not be representative
May miss important behaviours within intervals
Participant Observation
Participant takes part in the behaviour they are observing
* High in ecological validity
* Reduced demand characteristics
Difficult to simultaneously record behaviour
Observer may influence behaviour
Non-participant Observation
Participant does not take part in the behaviour which they are observing
* Easier to record information
* Can more easily observe behaviour
Higher demand characteristics if subjects are aware they are being observed
Researcher bias
Self Report
Used to gather peoples’ opinion and ideas on a topic and to gain an insiders perspective. Administered: Face to face, by post, en masse to a group in public setting, via phone or internet
Questionnaire
Asking a large sample for information on a topic at a particular moment in time
* Large sample (representative)
* Large amounts of data collected
* Efficient as researcher does not have to be there whilst completed
Social desirability bias
If untruthful responses given reduces validity
Cannot be sure who completed it
Open/Closed Questions
OPEN: Allows subject to freely express view/opinion in their own words
* Qualitative data
* High valitdity
Qualitative data - difficult to analyse
Low reliability
CLOSED: Respondents must choose an option for their response
* Quantitative data
* Standardised - High reliability
Low validity if chosen response not an option
Lacks detail
Structured Interview
Interviewer sticks to a strict list of questions and uses a standardised procedure
* High reliability
* Easy to compare and analyse response
* High inter-rater reliability
Lacks validity as subject not free to expand on responses
Lacks detail
Unstructured Interview
Researcher has freedom to vary questions and go into more detail with responses
* High validity
* Produces more detailed information
Time consuming
Much of the information may not be relevant
Likert Scale
List of attitudes about a statement and asked to indicate using a scale how strongly they agree or disagree.
* Quantitative data
* Extent of opinion measured
Social desirability bias
May misinterpret scale
Correlation
Shows a relationship between two co-variables
Positive correlation: As the values of one co-variable increase, the values of the other co-variable increase also (+1 coeffiecient)
Negative correlation:As the values of one co-variable increase, the values of the other co-variable decrease. (-1 coefficient)
No correlation: There is no relationship between the two co-variables (0)
Correlation Coeffiecient
Descriptive Statistics
MEAN: Adding all values together and dividing by the number of values
* Most representative measure
May be influenced by extreme values
MEDIAN: The central number when values in chronological order
* uneffected by extreme values
Not all values represented
MODE: The most common value
* Can be used with any data type
Not useful with small data sets
RANGE: Difference between biggest and smallest value
*Easy to calculate
Doesn't indicate how widely or tightly spread a group of values are
Standard Deviation
Calculates difference of a score from it's group mean
* More precise than range as all data accounted for
* Allows researcher to know how much scores vary amongst themselves
Difficult to calculate
THE END
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