unit 1 - research methods Flashcards
(69 cards)
Qualitative data-
refer to the description of characteristics of what is being studied eg. emotions
Quantitive data-
refers to measurements, numerical information about the variables. It is more accurate and precise
Objective data-
are measured according to an identifiable external criterion. Every one would get the same results eg. Get the class to measure the desk
Subjective data-
is date based on opinions and there is no external yardstick by which they are measured eg how do you feel about maths
Independent variable-
the variable that is deliberately changed
Dependant variable-
is the thing that is measured ( it is dependant on the IV)
Operationalised-
involves defining exactly what the variable is and shown how it is measured eg students who have 8 carrots a day will have better eyesight (be able to see more letters on the eye chart)
Extraneous variable-
are variables besides the IV that could change the DV
Confounding variable-
variables other the the IV that has an unwanted systematic effect on the DV
The steps of the Scientific method-
Identify the area of research and form the aim
form a hypothesis
Design a research method to test the hypothesis
Collect the data
analyse the data
Interpret the data and draw conclusions
Report the findings
How to write a hypothesis-
a hypothesis is a testable prediction about the results of the study. It must include the population, IV, DV and the prediction
Population-
it is the larger group of research interests from with the sample has been drawn
Sample-
a group of participants selected from the population
Sampling-
is the process in which we select our participants
Convenience sampling-
advantages
disadvantages
when we select participants based on easy accessibility or availability eg use everyone in the library
+ quick and easy to obtain a sample
- very unlikely to get a representative sample
Random sample-
advantages
disadvantages
is when everyone in the population has an equal chance at being selected eg draw out of a hat
+ if the sample is large enough then it provides an unbiased sample of the population
- difficult and time- consuming with large population
Stratified sample-
advantages
disadvantages
involves dividing the population into groups based on specific categories and then selecting a sample from each strata in the same proportion that they occur in the population
+ likely to get a representative sample ( so generalised can be made)
- very time consuming and costly
Random allocation-
a procedure that ensures that all participants have an equal chance of being selected for the experimental and control group
Experimental group-
group that is exposed to the IV
Control group-
group that is not being exposed to the IV
What are the 3 research designs?
repeated measures
Matched participants
Independent group experimental designs
Repeated measures-
advantages
disadvantages
is when the same group of participants are exposed to both the experimental and control group
+ individual differences highly controlled
+ Fewer participants are required
- oder effect can occur
- Participants are more likely to drop out because they have to do both experiments
Matched participants-
advantages
disadvantages
is placing equivalent pairs of participants into the control and experimental group
+ minimises participant differences
+ Eliminates order effect
- pre-testing is time consuming and expensive
- If one person drops out then so does there pair
Independent group experimental-
advantages
disadvantages
is when the participants are only exposed to the experimental or control group
+ time efficient and easy to use
+ Less chance of drop outs
- participants differences not controlled for
- More participants needed than repeated measures